Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Founding ML Engineer

Composo
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Founding Data Scientist

Data Engineer

Machine Learning Scientist

Senior Data Scientist

About Us:

We're on a mission to ensure that AI transforms our world effectively, rapidly, and safely. We're building a platform for the evaluation of LLM applications, enabling our customers to ensure applications are high quality, reliable, and safe.

Our USP is the ability to evaluate LLM outputs with exceptional accuracy & precision, especially in complex, subjective use cases. We've developed a unique approach based on our foundational R&D in constitutional reward modelling, and is finding traction across enterprise and leading AI companies alike.

We’ve raised £1.5m from top VCs and angels (ranging from AI leads at Meta, to multiple unicorn tech founders & head of AI at Novartis). Read more about our recent fundraise in Techcrunch: https://techcrunch.com/2025/02/07/composo-helps-enterprises-monitor-how-well-ai-apps-work/


As we continue to grow, we are looking for an exceptional Founding ML Engineer to join our team.


About you

  • You have strong experience in machine learning, neural networks and GPU-accelerated training
  • You have experience in Pytorch or similar modern machine learning frameworks (Huggingface, Llama.cpp, JAX etc)
  • You are a good Python programmer - comfortable with the level of software maturity required to organise data curation, augmentation and training workflows
  • You are results driven. A commercial and user-centric focus drives everything you do
  • You're capable of both running autonomously and collaborating closely
  • You're excited about collaborating with our London team in person


Nice to haves:

  • Experience with NLP, transformer architectures and modern large language models (Llama, Gemma, etc)
  • Experience prompting, building and evaluating applications with frontier LLM APIs (OpenAI, Gemini, etc)\
  • Experience working in early stage startups
  • Software development experience e.g. developing and serving REST APIs


What We Offer:

  • Opportunity to work on the biggest blocker of global AI adoption today.
  • Small team of highly motivated, independent and intelligent people.
  • Competitive salary and equity.
  • Massive learning opportunity and a high degree of autonomy.


Location:

Waterhouse Square, London

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.