# Senior Machine Learning Engineer at Pacific Life

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, implement and deploy production-

- **Company:** Pacific Life (https://jobs.trythestack.co/companies/pacific-life)
- **Location:** London, GB, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, FastAPI, Postgres, Docker, Kubernetes, PyTorch, TensorFlow, AWS, OpenAI API, Anthropic API, Langfuse, LiteLLM
- **Posted by employer:** 2026-10-31
- **Added to The Stack:** 2026-11-01
- **Listed until:** 2026-12-30
- **Status:** Active
- **Apply:** https://careers.pacificlife.com/us/en/job/PLBPLAUSR17762EXTERNALENUS/Senior-Machine-Learning-Engineer?utm_source=linkedin&utm_medium=phenom-feeds&source=LinkedIn (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-pacific-life

## 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.

## FAQ

- **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.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://careers.pacificlife.com/us/en/job/PLBPLAUSR17762EXTERNALENUS/Senior-Machine-Learning-Engineer?utm_source=linkedin&utm_medium=phenom-feeds&source=LinkedIn). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "senior-machine-learning-engineer-pacific-life": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Senior Machine Learning Engineer at Pacific Life, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-pacific-life)".
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