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6 results for Machine Learning Engineer jobs

Machine Learning Engineer
  • Edmonton, AB
  • onsite
  • Permanent
  • 80000 - 100000 CAD / Yearly
  • <p><strong>AI &amp; Machine Learning Software Developer</strong></p><p>Please note that the successful candidate must be based in Edmonton or Calgary, as this is a hybrid role with in-office days on Monday and Wednesday.</p><p>Our client is seeking a highly motivated <strong>AI &amp; Machine Learning Software Developer</strong> to join their growing product and engineering team. Reporting to senior product leadership and working closely with advisors and cross-functional stakeholders, this role will play a key part in shaping how modern AI technologies are applied in a production software environment.</p><p>This is an opportunity to experiment, prototype, and bring AI-driven features to life. The successful candidate will work with modern large language models, build NLP and retrieval pipelines, and translate research into meaningful product capabilities.</p><p><strong>Position Overview</strong></p><ul><li>Full-time, permanent role</li><li>Hybrid work environment</li></ul><p><strong>About the Opportunity</strong></p><p>Our client is a Canadian-based technology company developing a SaaS platform designed to help organizations manage and improve their engagement, communication, and relationship workflows. Their solution enables users to track interactions, manage information, and generate insights that support better decision-making.</p><p>The organization offers a collaborative and fast-paced environment where innovation, experimentation, and continuous improvement are encouraged. Employees benefit from a supportive culture, competitive compensation, and a comprehensive benefits package.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collaborate with product and engineering teams to define requirements and identify opportunities where AI/ML can enhance product capabilities</li><li>Research, prototype, and implement AI-driven features from concept through to production</li><li>Design and run experiments, including defining evaluation criteria and refining prompts, retrieval strategies, and model selection</li><li>Integrate and orchestrate large language models into applications, including prompt engineering, embeddings, and vector search</li><li>Develop and deploy NLP solutions such as classification, summarization, sentiment analysis, and entity extraction</li><li>Build and maintain scalable AI/ML pipelines and production systems</li><li>Monitor model performance and continuously optimize solutions post-deployment</li><li>Support data analysis and data normalization initiatives</li><li>Contribute to technical documentation and support research and development activities</li><li>Stay current with emerging trends in AI, machine learning, and natural language processing</li><li>Participate in agile development processes, including backlog refinement and troubleshooting</li></ul><p><br></p>
  • 2026-05-20T00:00:00Z
Data Engineer
  • Toronto, ON
  • onsite
  • Permanent
  • 100000 - 120000 CAD / Yearly
  • <p>Robert Half is working with a global, consumer‑facing organisation that’s scaling its data platform to better support marketing, sales, and customer analytics. They’ve recently invested heavily in their data stack and are growing their <strong>Data Engineering</strong> team to meet rising demand from the business.</p><p>This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data.</p><p><br></p><p><strong>What you’ll be doing</strong></p><ul><li>Partner directly with Marketing and Sales teams to understand data requirements</li><li>Design and build data models that power dashboards and analysis</li><li>Build and maintain data pipelines end‑to‑end</li><li>Work with cloud data platforms to ensure performance and reliability</li><li>Collaborate closely with BI and software engineering teams</li></ul><p><strong>Tech environment</strong></p><ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL &amp; Python</li><li>dbt for data modelling</li><li>Fivetran (or similar) for ingestion</li><li>Airflow for orchestration</li><li>BI tooling (Looker‑type stack)</li><li>Strong Salesforce / marketing data footprint</li><li><em>(Marketing Cloud / CRM / customer data experience is highly relevant)</em></li></ul><p><br></p>
  • 2026-05-14T00:00:00Z
Data Scientist
  • Cambridge, ON
  • remote
  • Contract / Temporary
  • 60 - 75 CAD / Hourly
  • We are looking for a Data Scientist to support market and performance analytics within the automotive sector in Cambridge, Ontario. This Long-term Contract opportunity is well suited to someone who combines strong statistical thinking with practical model-building experience and can translate complex data into meaningful business insight. The role focuses on analyzing market, sales, and inventory information to improve decision-making, while working with tools such as Python, Jupyter, Alteryx, and low-code BI platforms.<br><br>Responsibilities:<br>• Design and refine statistical models that connect market indicators with sales and inventory trends to generate actionable analysis.<br>• Examine data pipelines and source relationships to ensure inputs are reliable, consistent, and suitable for modelling activities.<br>• Build and test analytical solutions in Python, using notebook-based workflows to explore patterns, validate assumptions, and assess results.<br>• Evaluate model effectiveness through appropriate performance measures and recommend adjustments to strengthen analytical outcomes.<br>• Partner with business and analytics stakeholders to shape data-driven approaches that support reporting and strategic planning.<br>• Apply machine learning techniques where appropriate to enhance forecasting, segmentation, or performance analysis needs.<br>• Use Alteryx and business intelligence tools to prepare data, streamline analysis, and present findings in an accessible format.<br>• Communicate technical observations and modelling results clearly to support informed operational and commercial decisions.
  • 2026-05-13T00:00:00Z
Data & AI Automation Analyst
  • Calgary, AB
  • onsite
  • Permanent
  • 75000 - 85000 CAD / Yearly
  • <p><strong>THE ROLE:</strong></p><p>As the Data &amp; AI Automation Analyst you will bridge business strategy and advanced analytics, delivering scalable data, automation, and AI-driven solutions. You will work closely with stakeholders to identify opportunities, design solutions, and drive measurable outcomes.</p><p><em>Key Responsibilities:</em></p><ul><li>Design and implement automation workflows using tools such as Power Automate</li><li>Develop and support AI, analytics, and data-driven initiatives</li><li>Source, clean, and transform data to ensure accuracy and integrity</li><li>Build scalable data models and dashboards (Power BI) to support reporting</li><li>Translate business requirements into actionable insights and structured solutions</li><li>Lead solution design and requirements gathering with stakeholders</li><li>Mentor junior analysts and contribute to a high-performing analytics team</li><li>Communicate insights effectively to both technical and non-technical audiences</li></ul><p><strong>WHY THIS ROLE?</strong></p><p>This is an exciting opportunity to join a high-performing digital solutions team at the forefront of AI, automation, and analytics innovation. You’ll work on impactful projects that combine emerging technologies with real-world business challenges, while collaborating in a culture that prioritizes continuous learning and knowledge sharing. The role offers a competitive salary, strong benefits package, and meaningful career growth opportunities. If you’re passionate about turning data into strategic insights and want to make a tangible impact, apply now!</p>
  • 2026-06-02T00:00:00Z
Deployment Engineer
  • Calgary, AB
  • onsite
  • Contract / Temporary
  • 0 - 0 CAD / Yearly
  • <p>Our Calgary-based client is seeking an Overnight Deployment Engineer to support the remote deployment and installation of application updates across their Point of Sale (POS) environment. This is a 4-week contract engagement, requiring 4–6 hours per night, with shifts typically starting at 10:00 PM MST.</p><p><br></p><p>This role is critical to ensuring updates are completed outside of business hours with minimal disruption, and will involve working as part of a remote deployment team.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Perform remote deployment and installation of application updates across POS systems</li><li>Execute deployments during overnight maintenance windows while ensuring system stability</li><li>Monitor deployment progress, validate successful installations, and address failures</li><li>Troubleshoot installation issues and escalate where required following established procedures</li><li>Document deployment outcomes, issues, and resolutions</li><li>Collaborate with a remote team to coordinate deployment activities and ensure timelines are met</li></ul>
  • 2026-05-28T00:00:00Z
Quality Assurance Engineer
  • Calgary, AB
  • onsite
  • Permanent
  • 80000 - 90000 CAD / Yearly
  • <p><strong>THE ROLE:</strong> </p><p>We’re looking for a skilled Quality Assurance Engineer who excels in automation and thrives in a fast‑moving Agile environment. In this position, you’ll partner closely with development teams to ensure reliable, high‑quality software delivery across modern frontend and cloud-based platforms.</p><p><em>Key Responsibilities:</em></p><ul><li>Create, maintain, and optimize automated test suites for frontend applications</li><li>Build and execute end‑to‑end test automation using Playwright, TypeScript, and/or C#</li><li>Validate test coverage for React applications and ensure strong QA integration within the SDLC</li><li>Implement risk‑based testing approaches and develop robust automated regression strategies</li><li>Integrate automated tests into CI/CD pipelines (GitLab) to support smooth deployments</li><li>Perform API testing and verify integrations with external systems</li><li>Utilize cloud-based environments (AWS, Docker, Kubernetes) during test execution</li><li>Collaborate across technical and non‑technical teams and actively participate in Agile ceremonies</li></ul><p><strong>WHY THIS ROLE?</strong></p><p>This role offers the chance to shape quality standards within a modern, cloud‑driven tech environment while working with advanced automation frameworks and AI‑enhanced testing tools. You’ll be part of a collaborative team that values innovation, efficiency, and continuous improvement. You’ll enjoy competitive compensation, comprehensive benefits, and opportunities to grow your technical expertise.</p>
  • 2026-05-29T00:00:00Z