95 Results for Ml Engineer Jobs

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AI/ML Engineer

Phoenix, AZ
onsite
Temporary / Contract
0 - 0 USD / Yearly
A growing organization in the Phoenix area is seeking an experienced AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that drive business innovation and operational efficiency. This role will work closely with software engineers, data scientists, product teams, and business stakeholders to build scalable AI-powered applications and advanced analytics solutions.The ideal candidate combines strong software engineering fundamentals with hands-on experience in machine learning, deep learning, and modern AI technologies, including generative AI and large language models (LLMs). Key Responsibilities<ul><li>Design, develop, test, and deploy machine learning models and AI-driven applications.</li><li>Build and maintain scalable data pipelines to support model training, evaluation, and production inference.</li><li>Develop predictive analytics, classification, recommendation, forecasting, and natural language processing (NLP) solutions.</li><li>Implement and optimize deep learning models using modern frameworks and cloud-based infrastructure.</li><li>Collaborate with cross-functional teams to identify business opportunities for AI and machine learning applications.</li><li>Monitor model performance, accuracy, and reliability in production environments.</li><li>Apply MLOps best practices for model versioning, deployment automation, monitoring, and governance.</li><li>Develop APIs and microservices to operationalize AI models and integrate them into enterprise applications.</li><li>Work with structured and unstructured datasets to prepare, cleanse, and engineer features for modeling.</li><li>Stay current with emerging technologies and advancements in AI, machine learning, and generative AI.</li></ul>
2026-09-18T00:00:00Z

AI Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
Robert Half is working with a client in Lawrenceville, GA looking for an AI Engineer.<ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
2026-10-01T00:00:00Z

AI Engineer

Atlanta, GA
onsite
Permanent / Full Time
85000 - 105000 USD / Yearly
Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.<ul><li>Develop LLM-powered and agent-based applications using Claude APIs</li><li>Design and implement MCP-based agents (Model Context Protocol) within AWS environments</li><li>Build prompt workflows, orchestration logic, and autonomous agent behaviors</li><li>Integrate enterprise systems and data sources via APIs</li><li>Optimize AI solutions for token efficiency, cost, and performance</li><li>Develop backend services and utilities to support AI applications</li><li>Collaborate with stakeholders, product teams, and engineers to deliver scalable solutions</li></ul>
2026-10-02T00:00:00Z

AI Engineer

Fort Washington, PA
onsite
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments. Responsibilities: • Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability. • Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools. • Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems. • Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests. • Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge. • Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution. • Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability. • Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
2026-10-01T00:00:00Z

AI Engineer

Atlanta, GA
onsite
Permanent / Full Time
85000 - 105000 USD / Yearly
Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.<ul><li>Build and scale AI-powered applications using GPT and LLM technologies</li><li>Design and implement prompt engineering and context strategies</li><li>Develop autonomous AI agents and intelligent workflows</li><li>Build backend services and integrate enterprise data sources</li><li>Work with tools like LangChain / LlamaIndex and vector databases</li><li>Evaluate and improve AI system performance, accuracy, and reliability</li><li>Optimize systems for cost, latency, and scalability</li><li>Deploy, monitor, and troubleshoot production applications</li><li>Collaborate with product and UX teams to deliver user-focused solutions</li><li>Contribute to shared AI tools and platforms used across engineering</li></ul>
2026-10-02T00:00:00Z

AI Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
Robert Half is working with a client in Lawrenceville, GA who is seeking an AI Engineer.<ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
2026-10-01T00:00:00Z

Hardware Engineer

Lavergne, TN
onsite
Permanent / Full Time
85000 - 95000 USD / Yearly
We're partnering with a growing technology organization in Nashville that is seeking a Hardware Engineer to support hardware testing, debugging, and product development efforts. This is an excellent opportunity for an engineer who enjoys hands-on troubleshooting, collaborating across teams, and working closely with R&D and manufacturing to bring products to market. What You'll Do<ul><li>Set up and maintain hardware testing and debug environments.</li><li>Troubleshoot hardware issues and support root cause analysis efforts.</li><li>Partner with R&D, manufacturing, and vendor teams to resolve technical challenges.</li><li>Perform signal measurements and bring-up testing.</li><li>Utilize lab equipment including oscilloscopes and digital multimeters.</li><li>Support PCB rework, soldering, and hardware validation activities.</li><li>Assist manufacturing teams with debugging and troubleshooting efforts.</li></ul>
2026-09-11T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Machine Learning Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Sr. MLOps Engineer

King of Prussia, PA
onsite
Permanent / Full Time
165000 - 185000 USD / Yearly
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations. Responsibilities: • Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability. • Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs. • Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time. • Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability. • Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes. • Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact. • Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models. • Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements. • Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices. • Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
2026-09-24T00:00:00Z

Product Engineer

Langhorne, PA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are seeking a technically strong Product Engineer to support the development, quality, compliance, and ongoing improvement of our client’s diverse product portfolio. This Product Engineer will serve as a key technical resource across product development and will work closely with international manufacturing partners, internal product and quality teams, sales, and branch operations.The ideal candidate brings hands-on knowledge of refrigeration and HVAC/R equipment, strong engineering judgment, and the ability to translate technical requirements into practical product solutions. Experience working with overseas manufacturers, particularly within a private-label or distribution environment, is highly valued. How You Will Make an Impact:<ul><li>Manage the technical lifecycle of assigned products, establishing and maintaining engineering requirements, specifications, and performance standards from initial development through commercialization.</li><li>Support a broad product portfolio that includes ductless and inverter-based ducted systems, refrigerants, hoses, tools, components, and replacement parts.</li><li>Analyze engineering drawings, technical documentation, specifications, and manufacturer data to identify design, performance, and manufacturability considerations.</li><li>Collaborate with international factory partners to refine product designs, resolve technical concerns, and ensure products meet established requirements.</li><li>Work closely with the international office and manufacturing teams to create, update, and standardize product specifications and technical documentation.</li><li>Oversee engineering aspects of product compliance and certification for the North American market, including UL, ETL, AHRI, EPA 608, and DOE requirements.</li><li>Investigate product failures and technical issues through structured root-cause analysis and coordinate corrective and preventive actions with suppliers.</li><li>Contribute technical expertise to product planning by researching competing products, conducting teardown evaluations, and assessing new technologies and market developments.</li><li>Assist with new product introductions by coordinating third-party testing, certification activities, and technical approvals.</li><li>Prepare and maintain product documentation, including installation instructions, troubleshooting materials, technical notices, and product bulletins.</li><li>Track changes to HVAC/R industry standards and government regulations and communicate potential impacts to the product and compliance teams.</li><li>Work with Sales and Marketing to create technical product resources, competitive comparison materials, training content, and other tools that support the field organization.</li></ul>
2026-09-23T00:00:00Z

NPI Mechanical Engineer

Lavergne, TN
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We're partnering with an industry-leading technology manufacturer in Nashville that is seeking an NPI Mechanical Engineer to support new product introductions, production readiness, and mechanical design improvements. This role offers the opportunity to work closely with U.S. manufacturing teams and global design teams to bring innovative products from development into production. What You'll Do<ul><li>Lead and support New Product Introduction (NPI) activities from development through production.</li><li>Collaborate with R&D, manufacturing, and customer support teams to resolve mechanical engineering challenges.</li><li>Drive manufacturability and assembly readiness for new products.</li><li>Design and validate fixtures, jigs, and mechanical components for testing and production.</li><li>Provide Design for Manufacturability (DFM) and Design for Assembly (DFA) recommendations.</li><li>Review engineering drawings, tolerances, and specifications for accuracy and compliance.</li><li>Conduct failure analysis and implement corrective actions for mechanical and structural issues.</li><li>Support tooling, sheet metal, and plastic component design, fabrication, and inspection.</li><li>Develop and maintain SOPs, work instructions, and test plans.</li><li>Partner with global engineering teams to ensure successful product launches and production support.</li></ul>
2026-09-15T00:00:00Z

Quality Engineer

Lockport, NY
onsite
Permanent / Full Time
60000 - 80000 USD / Yearly
Robert Half Permanent Placement is excited to partner with an innovative manufacturer in Lockport, NY on their search for a Quality Engineer. This exciting role has a starting salary of $60,000 - $80,000 depending on experience and a comprehensive benefits package. Our great client has newly created this position that comes with excellent career growth opportunity for someone with a quality and safety mindset. Responsibilities include but not limited to: <ul><li>Develop, implement, and maintain quality procedures, work instructions, inspection methods, and testing protocols to ensure compliance with customer, regulatory, and internal quality standards</li><li>Evaluate manufacturing processes, analyze quality data and trends, and lead continuous improvement initiatives that enhance product quality, reduce waste, and improve operational efficiency</li><li>Conduct product, material, equipment, and process validation activities, including testing, calibration management, statistical analysis, and documentation of results </li><li>Lead investigations involving nonconforming materials, customer complaints, and corrective and preventive actions, performing root cause analysis and implementing effective corrective actions</li><li>Support and maintain the Quality Management System including safety and quality certifications, customer specifications, raw material specifications, and finished product requirements</li><li>Train production and quality personnel on quality systems, inspection methods, new equipment, and standard operating procedures to ensure consistent execution across the organization</li><li>Support customer and certification audits, respond to customer quality inquiries, maintain inspection and calibration records, and serve as backup to the Director of Quality as needed</li></ul>
2026-09-03T00:00:00Z

Quality Engineer

Grand Island, NY
onsite
Permanent / Full Time
65000 - 85000 USD / Yearly
Robert Half Permanent Placement is excited to partner with an aerospace industry manufacturer in the Buffalo, NY area on their search for a skilled Quality Engineer. This role has a starting salary of $65,000 - $85,000 depending on experience and includes a comprehensive benefits package. Our great client is going through a growth stage and needs to add a QE with direct experience with First Article Inspection Reports that can step right in a be a part of a highly functioning Quality team. Responsibilities include but not limited to: <ul><li>Prepare, review, and complete First Article Inspection Reports (FAIRs) in compliance with AS9100D and customer requirements</li><li>Support internal audits and ensure compliance with ISO 9001:2015, AS9100D, customer, and company quality standards </li><li>Analyze quality data, identify trends, and lead root cause/corrective action investigations and continuous improvement efforts</li><li>Review and disposition nonconforming material in coordination with Engineering, Production, and Inspection</li><li>Participate in design/drawing reviews, with knowledge of GD&T, tolerances, manufacturability, and inspection requirements</li><li>Develop and maintain quality procedures, work instructions, records, and other controlled documentation</li><li>Provide technical guidance to the Inspection Team, including use of precision measurement equipment and interpretation of mechanical/electrical drawings</li><li>Participate in client visits that review testings of potential purchasing solutions</li></ul>
2026-10-01T00:00:00Z

Quality Engineer

Fort Atkinson, WI
onsite
Permanent / Full Time
80000 - 90000 USD / Yearly
We are looking for a detail-oriented Quality Engineer to support manufacturing operations in Fort Atkinson, Wisconsin. This role partners closely with engineering, production, purchasing, and quality teams to strengthen product reliability, improve process performance, and help maintain compliance with customer and industry standards. The position combines hands-on technical problem-solving with data-driven quality improvement across new and existing products. Responsibilities: • Track quality performance indicators such as inspection results, test outcomes, warranty trends, customer feedback, and corrective action response times to drive improvement efforts. • Help sustain compliance with ISO 9001 requirements by supporting quality system activities, documentation, and audit readiness. • Participate in internal and external audits and assist with follow-up actions to address findings and strengthen process control. • Analyze production and quality data to uncover recurring issues, identify improvement opportunities, and support informed decision-making. • Lead or contribute to root cause investigations and implement corrective and preventive measures to resolve product and process concerns. • Partner with suppliers and purchasing teams to address vendor-related quality issues and improve incoming material performance. • Review drawings, specifications, and electrical schematics to verify manufacturability, assembly requirements, and documentation accuracy. • Provide technical support for new product launches, test fixture setup, continuity test programming, and troubleshooting of board assembly issues to the component level. • Evaluate manufacturing methods to improve workflow, labor efficiency, product flow, and production capacity while maintaining accurate technical records. • Travel between company and customer locations as needed to support audits, quality reviews, training activities, and issue resolution.
2026-09-30T00:00:00Z

Implementation Engineer

San Antonio, TX
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for an Implementation Engineer to lead the deployment and integration of enterprise technology solutions for customer environments in San Antonio, Texas. This role partners closely with client IT teams to prepare infrastructure, connect cloud-based services, and deliver secure, reliable implementations that align with business needs. The ideal candidate brings strong systems and networking knowledge, a methodical approach to documentation, and the ability to resolve technical issues with professionalism and urgency. Responsibilities: • Deploy and configure enterprise software across customer servers, workstations, and connected network devices. • Coordinate with client IT teams to assess infrastructure readiness and prepare environments for successful solution delivery. • Integrate platforms with identity and access management systems, including Azure Active Directory, Microsoft Entra ID, Google, Active Directory, and Okta. • Connect cloud services to customer networks while ensuring dependable performance, security, and compatibility. • Produce clear implementation records, configuration details, and support documentation for completed projects. • Investigate technical issues in existing installations and provide timely troubleshooting and resolution. • Use remote collaboration and support tools to assist customers, perform technical reviews, and complete implementation tasks. • Follow company policies, operational procedures, and applicable compliance and safety standards in all work activities. • Communicate openly with management regarding project status, risks, and other important matters affecting delivery.
2026-10-01T00:00:00Z

SOC Engineer

Chicago, IL
onsite
Permanent / Full Time
95000 - 125000 USD / Yearly
We are seeking a Senior SOC Engineer to help monitor, detect, investigate, and respond to cybersecurity threats across enterprise environments. This role is responsible for strengthening security operations, improving detection capabilities, and supporting incident response efforts to protect systems, networks, and data. The ideal candidate brings deep experience in security operations, threat detection, incident investigation, and security tooling. This person is analytical, collaborative, and able to operate effectively in fast-paced environments where timely response and strong judgment are critical. Key Responsibilities<ul><li>Monitor security events, alerts, and incidents across networks, endpoints, cloud environments, and applications.</li><li>Investigate suspicious activity, triage alerts, and determine severity, impact, and appropriate response actions.</li><li>Lead or support incident response activities, including containment, eradication, recovery, and post-incident analysis.</li><li>Develop, tune, and maintain SIEM use cases, correlation rules, dashboards, and alerting logic.</li><li>Analyze logs and telemetry from multiple security tools to identify threats, anomalies, and indicators of compromise.</li><li>Collaborate with infrastructure, engineering, and IT teams to remediate vulnerabilities and strengthen security controls.</li><li>Conduct threat hunting activities to proactively identify malicious behavior or hidden risks.</li><li>Support the development and maintenance of SOC processes, playbooks, runbooks, and escalation procedures.</li><li>Mentor junior analysts and contribute to the maturity of security operations practices.</li><li>Recommend improvements to detection engineering, incident handling, and operational workflows.</li><li>Prepare incident reports, metrics, and executive-ready summaries for technical and non-technical stakeholders.</li><li>Stay current on emerging threats, attacker techniques, and cybersecurity best practices.</li></ul>
2026-09-22T00:00:00Z

M365 Engineer

Madison, WI
remote
Temporary / Contract
58 - 66 USD / Hourly
Senior Microsoft 365 / Copilot & Power Platform EngineerWe are seeking a senior Microsoft technology professional to support enterprise Microsoft 365 initiatives, with a strong emphasis on Microsoft Copilot/Copilot Studio and Power Platform. This role combines hands-on solution development and implementation with administration, engineering, governance, optimization and ongoing support.What You’ll Do<ul><li>Design, build and implement solutions across Microsoft 365, Copilot and Power Platform</li><li>Lead or support end-to-end Microsoft Copilot Studio deployments</li><li>Develop and implement generative AI/Copilot solutions that improve business processes and user experiences</li><li>Build Power Platform solutions while also supporting governance, security, environments and enterprise rollout strategies</li><li>Administer and engineer Microsoft 365 environments, including Teams, SharePoint Online, Exchange Online, Microsoft Purview and Viva</li><li>Develop and maintain governance, security, compliance and adoption strategies</li><li>Automate administrative and operational processes using PowerShell and Microsoft Graph API</li><li>Troubleshoot and optimize Microsoft 365 environments and enterprise solutions</li><li>Create Power BI dashboards and reports to support operational and business needs</li><li>Participate in enterprise modernization, migration and continuous improvement initiatives</li></ul>
2026-10-01T00:00:00Z

Platform Engineer

Lehi, UT
onsite
Permanent / Full Time
170000 - 218000 USD / Yearly
We are seeking a Principal Platform Engineer to help shape the technical direction of our cloud platform capabilities and serve as a senior technical partner across engineering, security, and architecture. This role operates at an organizational level, driving platform strategy, leading cross-team technical initiatives, and strengthening our cloud security posture across an expanding AWS environment.You will work closely with our Security team as an embedded partner on key platform security efforts, while also coordinating with another Principal Engineer on the Platform team to align and divide technical ownership. This is a highly cross-functional role, requiring strong collaboration with application teams, security, compliance, and architecture to ensure platform services and infrastructure effectively support the broader organization.Responsibilities:<ul><li>Lead the design and continuous improvement of secure, scalable platform solutions in AWS environments.</li><li>Partner with engineering teams across the organization to drive broad technical initiatives and influence platform strategy.</li><li>Build and maintain infrastructure as code using Terraform to standardize deployments and improve operational consistency.</li><li>Develop and enhance platform tooling and automation using languages such as Java, Python, Go, or C#.</li><li>Strengthen cloud security controls by implementing and managing services such as Security Hub, GuardDuty, Config, CloudTrail, secrets management, and private networking patterns.</li><li>Support containerized workloads by improving Docker security practices and optimizing deployment patterns for services running on EC2, Fargate, and other managed platforms.</li><li>Advance CI/CD capabilities through orchestration and automation tools including GitHub Actions, Jenkins, CircleCI, or similar technologies.</li><li>Collaborate on secure software delivery practices, including source control standards, vulnerability scanning, and supply chain protection measures.</li><li>Contribute to agile delivery processes and provide technical leadership that helps teams execute complex platform initiatives effectively.</li></ul>
2026-10-01T00:00:00Z

Materials Manager

Philadelphia, PA
onsite
Permanent / Full Time
80000 - 90000 USD / Yearly
Robert half is seeking a Materials Manager to oversee inventory strategy, purchasing activity, and receiving operations for a manufacturing environment client in the Philadelphia area. This role works closely with production, operations, and finance teams to keep materials flowing efficiently, maintain accurate data, and support reliable customer delivery. The ideal candidate brings strong analytical judgment, hands-on procurement experience, and the ability to improve inventory control processes while guiding day-to-day warehouse receiving activity. Responsibilities:<ul><li>Direct material planning activities to maintain appropriate stock levels for raw materials, components, packaging, and operational supplies.</li><li>Evaluate demand, lead times, reorder settings, and safety stock levels to support efficient replenishment decisions.</li><li>Prepare and manage purchase orders from issuance through delivery, receipt confirmation, and final reconciliation.</li><li>Act as a primary resource for the company ERP platform, supporting accurate transaction processing and effective system use.</li><li>Maintain reliable purchasing, inventory, receiving, and supplier records to preserve data accuracy across the operation.</li><li>Lead daily receiving functions and provide supervision and direction to one team member.</li><li>Organize cycle counts, audit activity, and stock adjustments to strengthen inventory accuracy and control.</li></ul>
2026-10-02T00:00:00Z

Principle Engineer

Jacksonville, FL
onsite
Permanent / Full Time
155000 - 195000 USD / Yearly
We are looking for a skilled Software Developer to join our dynamic team in Jacksonville, Florida. In this role, you will design, develop, and maintain software solutions that meet business needs while ensuring high-quality performance and reliability. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects. Responsibilities: • Develop and maintain software applications using .NET, C#, ASP.NET, and other relevant frameworks. • Collaborate with cross-functional teams to gather requirements and design technical solutions. • Write clean, efficient, and well-documented code to ensure high performance and scalability. • Troubleshoot and resolve software issues to maintain system stability. • Conduct testing and debugging to ensure functionality meets specifications. • Stay updated with emerging technologies and apply them to improve software development processes. • Participate in code reviews to ensure adherence to best practices and standards. • Create technical documentation to support development processes and user understanding. • Optimize application performance by analyzing and addressing bottlenecks. • Provide ongoing support and maintenance for existing software systems.
2026-09-09T00:00:00Z

Design Project Engineer

Simi Valley, CA
onsite
Permanent / Full Time
160000 - 185000 USD / Yearly
We are looking for a Design Project Engineer to drive product development initiatives from early concept through release in Simi Valley, California. This position partners with engineering, research, and commercial teams to shape new solutions, refine existing products, and support successful handoff into manufacturing. The ideal candidate combines technical design capability with strong project coordination skills and a practical approach to balancing performance, quality, and cost. Responsibilities: • Lead product development efforts by reviewing opportunities, defining technical direction, and moving projects from concept to production readiness. • Partner with cross-functional stakeholders to assess new ideas, determine feasibility, and align engineering work with business and market needs. • Investigate competitive products, current technologies, material options, and manufacturing methods to inform design decisions. • Create project roadmaps, engineering specifications, and design proposals, then communicate recommendations clearly to key stakeholders. • Direct prototype builds and validation activities, analyze test results, and implement improvements to address functional or durability concerns. • Guide updates to existing products to enhance usability, performance, manufacturability, or overall cost effectiveness. • Oversee design control documentation and coordinate the transition of finalized designs into production environments. • Manage schedules, priorities, and scope changes across internal contributors and external engineering partners to keep programs on track. • Make sound engineering decisions that support product quality while meeting cost and performance objectives.
2026-09-28T00:00:00Z

Artificial Intelligence (AI) Engineer

West Palm Beach, FL
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency. Responsibilities: • Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies. • Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms. • Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases. • Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts. • Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks. • Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions. • Design AI-driven automation that improves workflows and streamlines day-to-day business operations. • Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph. • Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems. • Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
2026-10-02T00:00:00Z

Artificial Intelligence (AI) Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization. Responsibilities: • Partner with business leaders to understand operational pain points and identify where AI can create measurable value. • Translate business needs into solution concepts, technical approaches, and implementable AI initiatives. • Design, develop, test, and deploy AI and machine learning applications that address real-world business problems. • Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities. • Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow. • Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities. • Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes. • Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
2026-09-09T00:00:00Z

Artificial Intelligence (AI) Engineer

Brookfield, WI
onsite
Permanent / Full Time
150000 - 175000 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments. Responsibilities: • Build and implement AI, machine learning, and generative AI solutions that address business and operational needs. • Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows. • Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact. • Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases. • Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences. • Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale. • Establish model deployment and support practices, including monitoring, governance, and lifecycle management. • Apply security, compliance, and responsible AI standards throughout solution design, development, and release. • Research new AI tools and technologies and recommend options that align with organizational goals. • Produce clear technical documentation covering solution architecture, workflows, and implementation details.
2026-09-28T00:00:00Z

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