Senior Machine Learning Engineer at Pacific Life

✨ The Stack take on this Pacific Life job

• 🏢 This is Pacific Life's only job here right now
• 📊 13 Machine Learning Engineer jobs in the United Kingdom in the last 60 days see them
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
• 💡 No salary shown. Ask Pacific Life if it is above the minimum.

Updated 2026-11-01, from our data and official sources.

About the role

Responsibilities:
- Design, implement and deploy production-grade LLM and agentic systems for extraction and reasoning over medical records and application data.
- Rapidly prototype and iterate models, prompts and agent workflows; deploy improvements based on eval results and real-world feedback.
- Build and own evaluation harnesses (evals) that measure performance and guardrail effectiveness for model and prompt changes.
- Architect multi-step, tool-using agent pipelines with explicit state, guardrails, and human-in-the-loop review where required.
- Collaborate with Product, Design and domain SMEs to align ML work with underwriting needs and product goals.
- Optimize systems for latency, cost, reliability and maintain monitoring and production guardrails.

Requirements:
- 6+ years in ML/AI with strong hands-on experience in NLP, LLMs/SLMs and agentic systems.
- Practical experience with OpenAI and Anthropic models/APIs and familiarity with LLM observability tooling (e.g., Langfuse).
- Experience building eval frameworks, prompt/context engineering (few-shot, chain-of-thought, prompt tuning) and measurable evaluation.
- Strong backend and infra skills: Python, FastAPI, Postgres, async/event-driven architectures, Docker and Kubernetes.
- Working knowledge of ML frameworks (PyTorch or TensorFlow) and cloud platforms (AWS preferred).
- Results-oriented mindset: focuses on solving the user problem, owning features end-to-end and measuring production impact.

Responsibilities

Design, implement, and deploy production-grade LLM-based and agentic systems for medical records extraction and reasoning; build and maintain evaluation harnesses; design multi-step, tool-using workflows with guardrails and human-in-the-loop review.

Requirements

6+ years in ML/AI with NLP/LLMs; hands-on experience with OpenAI and Anthropic models/APIs; experience with Langfuse, LiteLLM, and vLLM; strong Python skills with FastAPI; Postgres; Docker and Kubernetes; cloud platforms (AWS); experience with PyTorch or TensorFlow; ability to design evaluation harnesses and optimize prompts and context.

Key skills

• Python — in 1142 other listings on The Stack
• FastAPI — in 88 other listings on The Stack
• Postgres — in 68 other listings on The Stack
• Docker — in 451 other listings on The Stack
• Kubernetes — in 559 other listings on The Stack
• PyTorch — in 87 other listings on The Stack
• TensorFlow — in 53 other listings on The Stack
• AWS — in 776 other listings on The Stack
• OpenAI API
• Anthropic API
• Langfuse
• LiteLLM

On The Stack (as of 2026-11-01)

• This is Pacific Life's only listing on The Stack.
• 204 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
• 27 visa-sponsored machine learning engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Pacific Life

Is this Senior Machine Learning Engineer role still open?

It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on Pacific Life's application page before applying.

Does Pacific Life offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Pacific Life's site.

Where is this role located?

The listing gives the location as London, GB, United Kingdom. It is marked on-site.

What skills does this role ask for?

The listing names: Python, FastAPI, Postgres, Docker, Kubernetes, PyTorch, TensorFlow, AWS, OpenAI API, Anthropic API, Langfuse, LiteLLM.