---
title: 'Machine Learning Engineer at Scarlet'
canonical: 'https://feeny.ai/job/machine-learning-engineer-scarlet-london-wq4v2s6g972a'
type: 'job'
last_seen: '2026-10-16'
---

# Machine Learning Engineer at Scarlet

- **Company:** Scarlet
- **Location:** London, United Kingdom
- **Compensation:** £90k–£150k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-02
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/scarlet/86fbe399-48fb-4416-8a8b-9aff001a1510

## Job description

We pull medical technology from the future to solve human health.

Scarlet is authorised to assess and certify medical devices. We combine clinical, technical and regulatory expertise with AI agents and software so rigorous certification can keep pace with product development at the world’s most ambitious technology companies, without lowering the safety bar. Our customers have cut a year or more from their certification timelines for new AI-enabled medical devices and shortened product-update cycles from months to weeks. You’ll join a team building the infrastructure that makes these outcomes repeatable at scale.

## About the role

The Applied Machine Learning team owns production systems and pursues new ideas, from conception and prototyping through to deployment, evaluation and iterative improvement. Working with clinicians, assessors and engineers, we build reliable ML systems that help bring medical devices to market faster, without compromising safety. It’s a domain rich in text, data and expert judgment, with little precedent for much of what we’re building. You’ll own meaningful problems in how we assess medical devices: define success with domain experts, decide what to build and test, and take ML systems through deployment and measurable improvement in production.

## Responsibilities

Things you might work on:

- Agentic document understanding – Build agents that search, parse and visually inspect messy technical files: scanned certificates, tables, architecture diagrams and thousands of pages of evidence. Find what matters and show exactly where it came from.
- Harnesses built for evidence – Develop custom agent harnesses for retrieving information across large document collections in varied formats. Preserve source attribution, minimise hallucination, and make deliberate trade-offs between accuracy, latency and cost. Deploy to production.
- Evals wired into real workflows – Define success with assessors and build datasets and benchmarks that capture a complex, nuanced domain. Measure retrieval quality, citation correctness and agreement with expert judgment alongside the impact on assessor effort, assessment quality and customer experience, including rework. Use the results to choose what to improve next.
- Applied AI alignment – Build useful agents that respect the impartiality and objectivity required of a certification body. Help people understand the evidence, recognise uncertainty and retain responsibility for consequential judgments.

## Who you are

- Creator of datasets – You roll up your sleeves and build the dataset you wish existed, rather than wait for someone else to give you one.
- Establisher of evals – You think from first principles about statistics and evaluating ML systems. You're suspicious of benchmarks that don't match reality.
- Builder of agent systems – You understand deep-learning, agent tools, context management and information retrieval, and how they interact.
- Shipper of software – 3+ years shipping software to production. You own deployment, monitoring and the investigation when something breaks.
- Security judgment – You’ve made and implemented pragmatic security decisions for production systems. You can reason about data access, permissions, untrusted inputs and actions with real consequences; design proportionate mitigations; and recognise when specialist review is needed.
- Systems design – You’ve designed, deployed and operated production systems. You can choose infrastructure that fits the workload, explain the trade-offs in complexity, reliability, security and cost, and work within shared engineering standards.
- Hacker – You take ambitious projects from concept to reality with whatever tools are at hand. You experiment, measure and change your mind.
- Builder – You're insatiably curious about real-world problems and care that what you build has clear economic and human value.
- Owner of ambiguous problems – You can point to an ambiguous problem you owned: working directly with domain experts to define success, choosing what to try, and following it through experiments and production to measurable improvement.

## Preferred qualifications

- Experience deploying agent systems with tool use, sensitive data or consequential actions, including evaluating their behaviour and designing safeguards.
- Experience building retrieval or document-understanding systems whose outputs must be checked against complex source evidence.

Interview process

- Intro call with [Alan](https://www.linkedin.com/in/alan-martyn-53696528/) – 45 mins
- Technical interview – 60 mins
- Working session in our London office with [Alan](https://www.linkedin.com/in/alan-martyn-53696528/) and [Jamie](https://www.linkedin.com/in/jamie-cox-01458b3a/) – 90 mins
- Culture and values interviews with [James](https://www.linkedin.com/in/james-dewar-78758992/) and [Jamie](https://www.linkedin.com/in/jamie-cox-01458b3a/) – 2 × 30 mins

## About Scarlet

## Company Overview
- **One-liner**: Scarlet is the only Notified Body specialised in certifying AI-powered software as a medical device (SaMD) for the EU and UK markets.
- **Entity Type**: Private (Series A, July 2024)
- **Headquarters**: London, United Kingdom, with a second office in Amsterdam, Netherlands.
- **Founded**: 2020
- **Founders**: James Dewar (Co-founder)

## Core Business
- **Primary Industry**: Healthcare IT, Medical Device Certification, Regulatory Compliance
- **Target Customers**: B2B (Healthtech and MedTech companies building AI and SaMD solutions)
- **Mission Statement**: To hasten the transition to universally accessible healthcare by enabling customers to get their life-changing technology to the people who need it.

## Products & Services
- **EU & UK Medical Device Certification**: Acts as a Notified Body (under EU MDR 2017/745) and an UK Approved Body to certify AI medical devices and SaMD. [scarlet.cc](https://www.scarlet.cc/)
- **ISO 13485 Certification**: Accredited to issue ISO 13485 certificates for quality management systems in medical devices.
- **Continuous Iteration Support**: Provides a regulatory pathway that allows for the frequent, iterative product releases required for modern AI products, a key differentiator from traditional Notified Bodies.
- **Certificate Transfer Service**: Facilitates the transfer of existing medical device certifications to Scarlet in as little as 4 weeks. [scarlet.cc](https://www.scarlet.cc/)

## Market Standing
- **Total Funding**: USD $26.6M across three rounds (Pre-Seed, Seed, Series A).
- **Key Metric - Total Funding**: $26.6M. Key Metric - Headcount: ~57 employees as of mid-2025, with 50% year-over-year growth.
- **Notable Investors**: Atomico (led the $17.5M Series A in July 2024), Creandum (led the $7M Seed round).
- **Growth Signals**: Rapid headcount growth (+50% YoY). A surge in active job postings (up 500% year-over-year). LinkedIn follower growth of +126% year-over-year. Operates across 9 countries, indicating strong remote-first hiring capacity.

## Competitive Advantages
- **Unique Market Position**: The only Notified Body in Europe purpose-built and specialised for AI and SaMD, giving it a unique regulatory and technical moat.
- **High Regulatory Trust**: Led by a board and panel of former global regulators, including the ex-Director of Medical Devices at the UK’s MHRA and the ex-CEO of BSI. This grants unparalleled credibility and deep insights into regulatory requirements. [scarlet.cc](https://www.scarlet.cc/company)
- **Impartiality Panel & Advisors**: Includes former heads of the UK’s MHRA and EU regulatory experts, ensuring adherence to the highest standards. [scarlet.cc](https://www.scarlet.cc/company)
- **Process Speed**: Claims to be significantly more efficient and faster than traditional Notified Bodies, which is critical for the fast-paced AI industry.

## Strategic Focus
- **Scaling Certification Capability**: Expanding its team to handle a growing pipeline of AI device submissions across the EU and UK.
- **Deep Specialisation in AI**: Continues to build expertise in niche areas like radiology, clinical decision support, and cybersecurity for medical AI.
- **Global Expansion**: Growing its influence as a key regulator for the next generation of software-based healthcare technology.

## Why Work Here
- **Mission-Driven**: The company has a strong, clear vision of transforming global healthcare, which is a powerful motivator for employees in technical and operational roles.
- **High-Growth Environment**: With 18 active job postings and a 500% increase in openings year-over-year, this is a company in a rapid scale-up phase, offering significant career growth opportunities.
- **Distributed & International Team**: With offices in London and Amsterdam and staff spread across 9 countries, Scarlet supports a hybrid/remote-friendly work culture.
- **Senior Leadership Access**: The small but rapidly growing team (57 people) means employees have direct access to top-tier leadership and can have an outsized impact.
- **Engineering Culture**: Actively hiring for technical roles (Head of Engineering, Platform team), with a focus on "problem-centricity" and high performance, indicating a mature, outcome-focused engineering culture. [scarlet.cc](https://www.scarlet.cc/careers)

## Sources
1. [scarlet.cc](https://www.scarlet.cc/)
2. [scarlet.cc](https://www.scarlet.cc/company)
3. [scarlet.cc](https://www.scarlet.cc/careers)
4. [LinkedIn - Scarlet](https://uk.linkedin.com/company/scarlet-comply)
5. [Ashby - Scarlet Careers](https://jobs.ashbyhq.com/scarlet/4a2e45c2-54f3-4a7a-bee1-b71e34ec7db9)

## Other roles at Scarlet

- [Business Development Manager, Advisor Network](https://feeny.ai/job/business-development-manager-advisor-network-scarlet-united-states-new-york-ny-y9wpg96h7c61) — United States / New York, NY
- [Account Executive](https://feeny.ai/job/account-executive-scarlet-united-states-new-york-ny-9z65wcag7e79) — United States / New York, NY
- [Account Executive](https://feeny.ai/job/account-executive-scarlet-london-amnr0harz2cc) — London, United Kingdom
- [Talent Engineer](https://feeny.ai/job/talent-engineer-scarlet-london-n4qehrqzqcvq) — London, United Kingdom
- [Software Safety Engineer](https://feeny.ai/job/software-safety-engineer-scarlet-london-gvpgngx3ssmt) — London, United Kingdom
- [Medical Device Auditor](https://feeny.ai/job/medical-device-auditor-scarlet-london-s99qnr2m7q8t) — London, United Kingdom
- [Business Development Representative](https://feeny.ai/job/business-development-representative-scarlet-london-j68kxxwf9067) — London, United Kingdom
- [Account Manager (Customer Outcomes Specialist)](https://feeny.ai/job/account-manager-customer-outcomes-specialist-scarlet-london-sdd1fv9grfgn) — London, United Kingdom
- [Product Designer](https://feeny.ai/job/product-designer-scarlet-london-76ym4a15a6ry) — London, United Kingdom
- [Software Engineer](https://feeny.ai/job/software-engineer-scarlet-remote-mpvdq16z3fe8)