<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
<p><strong><u>Essential Duties and Responsibilities:</u></strong></p><ul><li>Design and deploy F5 BIG-IP solutions, including LTM (Local Traffic Manager), DNS, and APM (Access Policy Manager).</li><li>Design and deploy Security Assertion Markup Language (SAML)/ OpenID connect (OIDC) authentication methodologies.</li><li>Configure and manage advanced F5 iRules and policies to support business-critical applications.</li><li>Optimize application performance by implementing load balancing, SSL offloading, and traffic routing solutions.</li><li>Troubleshoot and resolve issues related to F5 devices, ensuring high availability and performance.</li><li>Collaborate with cross-functional teams to integrate F5 solutions into existing network infrastructure.</li><li>Monitor F5 devices and applications using analytics tools to detect and mitigate potential risks.</li><li>Implement F5 WAF (Web Application Firewall) configurations to protect against web-based threats.</li><li>Automate routine F5 tasks using APIs, Ansible, or other automation frameworks.</li><li>Maintain and update F5OS, system documentation, policies, and procedures.</li><li>Stay updated on the latest F5 technologies and industry best practices.</li></ul><p><br></p>
<p><br></p><p>Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform.</p><p><br></p><p>Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.</p><p><br></p><p><br></p>