At a Glance
- Tasks: Design and deploy cutting-edge machine learning models for revolutionary medical AIs.
- Company: Scarlet, a leading AI medical device certifier transforming healthcare.
- Benefits: Competitive salary, equity options, and the chance to impact global healthcare.
- Other info: Join a rapidly growing team with excellent career advancement opportunities.
- Why this job: Make a real difference in accessible healthcare while working with top AI experts.
- Qualifications: 3+ years in machine learning with a passion for building innovative solutions.
The predicted salary is between 90000 - 150000 £ per year.
As a Machine Learning Engineer at Scarlet, you will deploy state-of-the-art models and build distributed agentic systems to accelerate market access for groundbreaking medical AIs. You will 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:
To apply for this job, speak to Jack, our AI recruiter.
- Visit our website
- Click 'Speak with Jack'.
- Login with your LinkedIn profile.
- Talk to Jack for 20 minutes so he can understand your experience and ambitions.
- If the hiring manager would like to meet you, Jack will make the introduction.
Machine Learning Engineer (£90k-£150k + Equity) at Scarlet employer: Jack & Jill/External Ats
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We think this is how you could land Machine Learning Engineer (£90k-£150k + Equity) at Scarlet
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We think you need these skills to ace Machine Learning Engineer (£90k-£150k + Equity) at Scarlet
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill/External Ats. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
