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Machine Learning Engineer

scarletUK - London OfficeApplied Machine Learning
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Salary
£90K – £150K
Job type
Full-time
Experience
Senior · 3+ yrs
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

This role suits an experienced machine learning professional who wants to build production systems for medical device certification, and is based in the London office of Scarlet. The position involves owning machine learning infrastructure and agentic workflows to help technology companies bring healthcare products to market safely and efficiently.

Role Overview

Scarlet operates as a certification body for medical devices, combining technical expertise with software and AI agents. The Applied Machine Learning team manages production systems from conception to iterative improvement. Professionals in this group collaborate with engineers, assessors, and clinicians to solve complex technical challenges involving text, data, and expert evaluation in the healthcare sector.

Key Responsibilities

Build autonomous agents capable of searching, parsing, and visually inspecting complex technical documents, scanned certificates, tables, and architectural diagrams.
Develop custom retrieval harnesses across diverse document formats while minimizing hallucinations, maintaining source attribution, and balancing latency, accuracy, and cost.
Create domain-specific benchmarks and datasets to measure retrieval quality, citation accuracy, and alignment with expert judgment.
Design applied AI alignment solutions that maintain objectivity and help users evaluate evidence and recognize uncertainty during certification reviews.

Requirements

Three or more years of experience shipping software to production, including managing deployment, monitoring, and troubleshooting.
Practical background in systems design, choosing appropriate infrastructure, and working within shared engineering standards.
Demonstrated ability to make pragmatic security decisions regarding data access, permissions, and untrusted inputs in production environments.
Hands-on knowledge of deep learning, information retrieval, context management, and agent tools.
Experience taking ambiguous problems from concept to measurable improvement in production alongside domain experts.

Nice to Have

Prior experience deploying agent systems featuring tool use, sensitive data handling, and consequential actions with built-in safeguards.
Background in developing document understanding or retrieval systems that require verification against complex source evidence.

Skills and Tools

Deep learning
Agent systems and tools
Information retrieval
Context management
Document understanding systems
Production software deployment and monitoring

Salary and Benefits

Salary range between £90,000 and £150,000 per year
Equity offers included

About the Company

Scarlet assesses and certifies medical devices by uniting clinical, regulatory, and technical expertise with software and AI agents. The organization helps technology companies accelerate certification timelines and product updates without compromising safety standards.

How to Apply

Candidates should visit the official company careers page to submit an application for this position.

Skills and tech stack

deep learningagent systemsinformation retrievalDeep LearningMachine Learning

Questions candidates ask

Where is this job located?

The position is based in the London office.

What is the salary range for this role?

The salary ranges from £90K to £150K with included equity offers.

How many years of experience are required?

Candidates must have 3 or more years of experience shipping software to production.

What does Scarlet do?

Scarlet assesses and certifies medical devices by combining clinical and technical expertise with software and AI agents to speed up certification timelines.

What does the interview process involve?

The interview process includes an intro call, a technical interview, an in-person working session in the London office, and culture and values interviews.

Ready to apply?

The application is on the official scarlet careers page.

Apply on company site