National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Founding Machine Learning Engineer

Arrows
City of London
3 weeks ago
Create job alert

🚀 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 fromOxford, Cambridge, and Imperial, this company is pushing the boundaries of applied AI.


They’re now looking for aFounding Machine Learning Engineerto 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.


đź§  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!


🛠️ Key Technologies:

  • Pythonand modern ML libraries (e.g. PyTorch, TensorFlow, JAX)
  • AWSand cloud infrastructure for scalable training and inference
  • ML ops tooling, model monitoring, and data pipelines
  • Bonus: experience withLLMs &generative AIis a strong plus


🎯 What They’re Looking For:

  • Top-tier academic backgroundin 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 working5 days/week on-sitein 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.

Related Jobs

View all jobs

Founding Machine Learning Engineer

Founding Machine Learning Engineer

Founding Machine Learning Engineer (Basé à London)

Founding Machine Learning Engineer (Basé à London)

Founding Machine Learning Engineer

Founding Machine Learning Engineer

National AI Awards 2025

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.