Senior AI & ML Engineer / HealthTech / £100.000 / Hybrid / London

JR United Kingdom; Slough; Hybrid; GBP 100,000; Full time

Job summary

A leading HealthTech company seeks a Senior AI & ML Engineer to join their international product team in Slough. You'll be responsible for building tools for complex, high-volume systems, optimizing ML pipelines, and working in a fast-paced environment. This hybrid role offers a competitive salary and the opportunity to create real-world impact.

Benefits

Flexible hybrid setup

Strong salary

Real-world impact

Qualifications

• 5+ years in backend, ML, or infrastructure roles.
• Proven track record of shipping model-driven features into live production.
• Experience across the full lifecycle: data ingestion, training, deployment.

Responsibilities

• Build and deploy retrieval-augmented generation (RAG) pipelines using LangChain.
• Design and maintain FastAPI services powering LLM workflows.
• Own the full MLOps lifecycle including training and monitoring.

Skills

Backend Development

Machine Learning

MLOps

Data Ingestion

Deployment

Monitoring

Model Orchestration

FastAPI

Job description

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Senior AI & ML Engineer / HealthTech / £100.000 / Hybrid / London, slough

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Client:

Open Talent

Location:

slough, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

10.06.2025

Expiry Date:

25.07.2025

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Job Description:

Location: London (Hybrid, 1-2 days/week)

Salary: Up to £100,000

Hybrid: (2 days in Central London) + 6 weeks abroad annually

Eligibility: Must be UK-based with full right to work

Build What Gets Used. Fast.

Join an international HealthTech product team building tools for complex, high-volume systems. You’ll be responsible for everything from LLM features & data pipelines to deployment and monitoring. Everything you build will be used in production from day one.

You'll build & ship, fast.

You’ll work on retrieval pipelines, model orchestration, backend APIs & observability. The stack includes OpenAI, Claude, Mistral & open-source models - whichever solves the problem best.

What We’re Looking For

• 5+ years in backend, ML, or infrastructure roles, ideally in product-focused teams
• Proven track record of shipping model-driven features into live production
• Hands-on across the full lifecycle: data ingestion, training, deployment, monitoring
• Strong judgement around trade-offs - speed, cost, and system reliability
• Works well in fast-moving environments with little hand-holding or overhead

What You’ll Do

• Build and deploy retrieval-augmented generation (RAG) pipelines using LangChain and custom embeddings
• Design and maintain FastAPI services powering LLM workflows used daily by real customers
• Own the full MLOps lifecycle: from training and fine-tuning to deployment, monitoring, and rollback
• Optimise inference latency and cost across OpenAI, Claude, Mistral, and open-source models
• Collaborate with a tight-knit team of engineers, product leads, and domain experts to ship fast and iterate often

Why Join?

• Everything you build gets shipped - tools are already being used by real clinical teams across Europe
• They've launched 3 LLM-powered products in the past 12 months, including triage support & summarisation tools
• 2025 roadmap includes greenfield builds: real-time clinical insights & an AI assistant for care teams
• Small, engineering-led team where you’ll move fast and own what you build
• Flexible hybrid setup, strong salary & a product with real-world impact

Interview Process (2 weeks)

• 30-min intro
• 1-hour technical deep dive
• 90-min take-home
• Final call with CTO & Head of Data

Please apply immediately to avoid missing out.

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