
Senior Machine Learning Engineer – AI Foundry
Kraken
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
Visit company websiteExplore more
Job Level
Tech Stack
About the role
- Help us use technology to make a big green dent in the universe!
- Join our AI Foundry team focused on solving high-impact problems by building production-grade internal AI tooling.
- Work closely with product, backend engineers, and operational stakeholders to deliver tools that directly improve how we serve clients and run Kraken.
- Build and ship LLM-powered internal tools that improve knowledge access, reduce time spent on discovery, and support client delivery outcomes
- Take ownership of projects end-to-end: problem framing → experimentation → engineering → production deployment → monitoring and iteration
- Design and operate LLM systems in the real world (quality, latency, cost, reliability), including strong evaluation practices and fast feedback loops
- Use classic ML / data science skills to complement LLM approaches where appropriate (e.g., ranking, classification, analytics, measurement)
- Collaborate closely with backend engineers, product, and internal users (including Client Delivery Leads) to define MVPs, iterate quickly, and drive adoption
- Contribute to a culture of strong engineering practices, pragmatic experimentation, and continuous learning
Requirements
- Proven experience using **LLMs in production** (beyond a proof of concept) - you can clearly explain what shipped, what users needed, and how you managed trade-offs
- Strong **end-to-end delivery** experience: you’ve taken ML/LLM work into production and owned it beyond launch
- Solid **data science and analysis** skills: you’re comfortable working with large datasets, defining metrics, evaluating system performance, and diagnosing failures
- High proficiency in **Python** (this is the core language across our data and ML stack)
- Comfort operating in ambiguity: you can move from a fuzzy problem to a clear plan, validate assumptions quickly, and iterate
Benefits
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LLMsdata sciencePythonmachine learninganalyticsclassificationrankingsystem performance evaluationproblem framingproduction deployment
Soft Skills
end-to-end deliverycollaborationownershipadaptabilitypragmatic experimentationcontinuous learningcommunicationiterationdiagnosing failuresvalidating assumptions