Senior Machine Learning Engineer

Who you are

• Experience: 6+ years in ML/AI, with deep hands-on expertise in NLP, LLMs/SLMs, and agentic systems
• LLMs & Architectures: Hands-on experience building with OpenAI and Anthropic models/APIs; strong knowledge of LLMs and agent architectures
• Tooling: Practical experience with LiteLLM, vLLM, Langfuse (or equivalent LLM observability tooling). Experience with Claude Code/Codex and associated coding-agent workflows is a plus
• Evals: Proven ability to design, build, and own evaluation harnesses for LLM/agent outputs
• Prompt & Context Engineering: Proven ability to design and optimise prompts and context, including techniques like few-shot, chain-of-thought, and prompt tuning techniques, grounded in measurable evaluation rather than guesswork. Prior experience with  DSPy, GEPA, or similar is a plus
• Backend & Infra Skills: Strong Python skills, with FastAPI for service development, Postgres (or similar) for data persistence, and comfort with event-driven, async architectures. Working knowledge of ML frameworks (PyTorch, TensorFlow), containerisation with Docker and Kubernetes, and cloud platforms (AWS preferred)
• Think in Outcomes: You care about whether the system actually solves the underwriter's problem, not just whether the model scores well. You're comfortable challenging the spec, proposing a different approach, and owning your feature from idea through to production impact
• Mindset: Entrepreneurial, ownership-driven, and biased to action, with a "Build Fast, Fail Fast" approach, thriving in agile, iterative environments

What the job involves

• As a Senior Machine Learning Engineer, you’ll take ownership of designing, building, and deploying advanced LLM-based and agentic systems that extract and reason over medical records and application data
• You’ll experiment, iterate, and ship quickly, working alongside a cross-functional team in a dynamic, fast-fail environment
• You'll own the evals that prove your system works, and the guardrails that keep it working once real users depend on it
• Your work will have a direct impact on our product and business as we push the boundaries of what’s possible with AI
• Build & Iterate Fast: Design, experiment, and deploy production LLM and agentic systems. Quickly test hypotheses, optimise, and iterate based on real-world feedback and eval results
• Own Evals: Build and maintain the evaluation harness that tells us whether a model or prompt change made things better or worse
• Design Agentic Workflows: Architect multi-step, tool-using pipelines with explicit state, guardrails, and human-in-the-loop review where the stakes demand it
• Lead Innovation: Push the envelope with cutting-edge LLM and agentic techniques to solve hard problems in language understanding, extraction, and reasoning
• Shape the Product: Collaborate with Product, Design, and Underwriting SMEs to align ML capabilities with product goals and real domain constraints
• Scale & Optimise: Take systems from prototype to production, optimising for latency, cost per run, and reliability at scale

Benefits

• 💷 Life Assurance - The Company provides a lump sum benefit payment, 9x salary
• 💷 Group Income Protection - The aim is to provide an income to employees if they are unable to work long-term, as a result of an illness or injury. 75% of basic salary
• 🏥 Private Medical Insurance - Provided for all employees via Bupa Healthcare
• 👵🏽 Stakeholder Pension Scheme - Up to 15%. The Company offers a group stakeholder pension to aid employees in planning for their future
• 💪 Subsidised Gym Membership - The company subsidises memberships to any gym of employees' choice
• 👶🏼 Enhanced Maternity (6 months full pay) and Paternity (3 months full pay) scheme
• 💰 Bonus Scheme - based on individual and company performance
• 🏖️ 20 days a year working remotely - The opportunity to work abroad or from your home country (for those who may have moved country).
• 👩‍⚕️ 24/7 GP Consultation - Through the Employee Assistance Programme
• 🛍️ Cycle 2 Work Scheme
• 🏖️ 25 days holiday per year increasing by 1 day for every 2 years service, plus 1 additional flexible day off per year
• 🚗 Electric Vehicle Salary Sacrifice Scheme