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.
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Machine Learning Engineer at Scarlet
Join Scarlet, the pre-eminent authority on AI medical devices, as a Machine Learning Engineer in London. You'll deploy state-of-the-art models, build distributed agentic systems, and fine-tune LLMs to accelerate market access for groundbreaking medical AIs, directly impacting universally accessible healthcare. This is a chance to make a significant impact with a team experiencing exponential growth and strong product-market fit.
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Location
London, United Kingdom
Compensation
£90k-£150k + Equity
Company
Scarlet
Role overview
Software
Scarlet certifies AI products on behalf of governments.
Today, Scarlet specialises in the certification of software and AI as medical devices (SaMD and AIaMD). As the only Notified Body in Europe specialising exclusively in certifying software and AI, Scarlet accelerates the transition to universally accessible healthcare by enabling manufacturers to certify their medical devices efficiently and make frequent software releases. Scarlet provides dual UK and EU market access.
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.
Who this is a fit for
- 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.
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.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
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Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Scarlet wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.
