Machine Learning Engineer (£90k-£150k + Equity) at Scarlet

Jack & Jill/External ATS; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

A leading AI medical device certifier in London seeks a Machine Learning Engineer. In this role, you'll design and deploy models that enhance accessibility to healthcare through innovative AI solutions. Candidates should have over 3 years of experience in machine learning production, a passion for building high-quality datasets, and the ability to tackle ambitious projects. Join a team with extraordinary potential and contribute to the evolving field of medical technology.

Qualifications

• 3+ years of experience shipping production-grade machine learning software.
• Ability to create high-quality datasets and establish robust ML evaluation systems.
• Strong problem-solving mindset with a focus on value.

Responsibilities

• Design and deploy concurrent agent architectures for evidence gathering.
• Develop robust evaluation systems in production workflows.
• Fine-tune LLMs and align AI systems with regulatory standards.

Skills

Machine Learning

Data Engineering

Model Deployment

Job description

This is a job that we are recruiting for on behalf of one of our customers.

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Machine Learning Engineer

Salary: £90k–£150k + Equity

Company Description: Scarlet - Leading AI medical device certifier

Job Description:
As a Machine Learning Engineer at Scarlet, you'll deploy state-of-the‑art models and build distributed agentic systems to accelerate market access for groundbreaking medical AIs. You'll fine‑tune LLMs and create exceptional datasets, directly impacting universally accessible healthcare by ensuring innovative technology reaches patients safely and quickly. Join a team with product‑market fit and exponential growth.

Location: London, UK

Why this role is remarkable:

• Directly contribute to universally accessible healthcare by certifying groundbreaking medical AIs safely and quickly.
• Join a team with strong product‑market fit, flowing data, and exponentially growing revenue as the pre‑eminent authority in its field.
• Work with the brightest minds in AI medical devices, deploying state‑of‑the‑art models and building distributed agentic systems.

What you will do:

• Design and deploy concurrent agent architectures for rapid, multi‑agent evidence gathering from diverse customer data sources.
• Develop and implement robust evaluation systems, leveraging production workflows to ensure accurate certification timelines.
• Fine‑tune LLMs and orchestrate agent swarms to create high‑quality datasets and align AI systems with strict regulatory standards.

The ideal candidate:

• Possess 3+ years of experience shipping production‑grade machine learning software.
• Proven ability to create high‑quality datasets and establish robust, reality‑aligned ML evaluation systems.
• A “hacker” and “builder” mindset, taking ambitious projects from concept to reality with a focus on economic and human value.

How to Apply:

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