Machine Learning Engineer MLOps Python LLM AWS

In this role you lead the ML activities within the Insights and Data Analytics Team from conception to deployment, building scalable models and the supporting ML infrastructure. You define the ML roadmap, evaluate architectures, and optimize data pipelines to deliver actionable insights. You work primarily with Python in an AWS environment and provide technical leadership to a small team. The role emphasizes reliability, latency, and observability to scale ML in production, with a mix of remote work and occasional London collaboration.

• Salary up to 90k
• WFH with London office twice a month
• Office budget
• Tailored flexible benefits
• Remote-friendly environment

• Lead ML activities from conception to deployment within the team
• Define and own the ML roadmap and architecture choices
• Optimize data pipelines and build scalable ML infrastructure
• Develop and deploy both non-LLM models and LLM services in production
• Design high-throughput APIs and manage data flows
• Apply software engineering practices (TDD, pair programming) and mentor colleagues
• Collaborate with senior stakeholders to align ML initiatives with product goals

• Strong Python skills
• Extensive AWS experience for moving models to production
• Solid MLOps experience
• Experience training, deploying and supporting both non-LLM models and LLM services
• Experience designing high-throughput APIs and managing data
• Strong software engineering practices (TDD, Pair Programming)
• Collaborative with mentoring and technical leadership
• Bachelor in Computer Science or closely related discipline with 2:1 or above
• Experience in a SaaS FinTech environment is a plus

• collaborative
• mentoring
• strong Communication with senior stakeholders
• Python
• AWS
• MLOps