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

Apply Now

Founding Machine Learning Engineer

Arrows
London
6 days ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning | AI Engineer

Lead Data Scientist

Junior Data Scientist

Junior Data Scientist

Get AI-powered advice on this job and more exclusive features.

This range is provided by Arrows. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Arrows

Director of Europe & Al/ML/ Data - UK, DACH & BENELUX

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary)

A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial, this company is pushing the boundaries of applied AI.

They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up.

About the Company:

Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a bold technical vision, they’re building intelligent systems that solve high-impact real-world problems.

This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development.

The Role:

As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to integrate intelligent features into a user-facing product from day one.

You’ll need to be both a scientist and an engineer: excited by innovation, and pragmatic about delivering impact!

  • Python and modern ML libraries (e.g. PyTorch, TensorFlow, JAX)
  • AWS and cloud infrastructure for scalable training and inference
  • ML ops tooling, model monitoring, and data pipelines
  • Bonus: experience with LLMs & generative AI is a strong plus

What They’re Looking For:

  • Top-tier academic background in Computer Science, Engineering, Maths or a related field – Oxbridge, Imperial, or equivalent
  • 4+ years of hands-on ML experience, ideally in fast-moving start-up environments
  • A strong track record of building and deploying ML models into production
  • Solid understanding of ML system design, experimentation, and model evaluation
  • Experience working with ambiguous product requirements and iterating fast
  • Passion for pushing boundaries in AI - and for building real products, not just prototypes
  • Happy working 5 days/week on-site in a Central London office, shoulder to shoulder with the founding team

What’s on Offer:

  • Exceptional salary
  • Meaningful equity - founding engineer-level stake
  • Ownership of the ML roadmap and long-term technical vision
  • The chance to help build a product and company from day one
  • A deeply collaborative, high-performance environment with elite peers

If you're an experienced ML engineer looking for your next big challenge, and want to build something important with world-class people - this could be the opportunity of a lifetime!

Sound like you? Let’s talk.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • IndustriesSoftware Development and IT System Data Services

Referrals increase your chances of interviewing at Arrows by 2x

Get notified about new Machine Learning Engineer jobs in London Area, United Kingdom.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 3 weeks ago

Graduate Software Engineer – ML Data Platform

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 months ago

Greater London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 6 months ago

Machine Learning Scientists and Engineers: AI for Quantum

London, England, United Kingdom 3 months ago

London Area, United Kingdom £50,000.00-£55,000.00 2 hours ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 1 month ago

Peterborough, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.