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

Apply Now

Machine Learning Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation
London
4 days ago
Create job alert

Applied Machine Learning Engineer - London (Hybrid) - £60,000


I’m working with a fast-growing, founder-led start-up that’s on a mission to make digital ads actually enjoyable — tackling one of the biggest challenges in adtech: building a higher-quality, more intelligent ad-funded internet.


They’re now hiring their first ever Applied Machine Learning Engineer — someone curious, hands-on, and ready to own all things ML from day one.


What you’ll be doing:

  • Building and deploying applied ML systems that make the product smarter and more defensible
  • Developing contextual categorisation of web content
  • Prototyping algorithms to optimise ad performance and bidding logic
  • Applying modern LLM techniques — from prompt engineering to retrieval-augmented generation (RAG)
  • Working cross-functionally with engineers, product and commercial teams to bring ideas to life


What they’re looking for:

  • 1–3 years’ experience in applied ML/AI (or equivalent projects)
  • Strong Python skills with PyTorch, Hugging Face or scikit-learn
  • Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.)
  • A passion for turning messy real-world data into something powerful and production-ready
  • Excitement about being the first ML hire in a scaling start-up environment


Why you’ll love it:

  • Real ownership from day one — build, shape and scale the ML function
  • Hybrid setup (London-based, flexible culture)
  • 33 days holiday + Christmas shutdown
  • Private medical, pension, socials, offsites & more



If you’re ready to apply your ML skills in a high-impact, creative environment — where ideas move from concept to production fast — I’d love to chat.


Applied Machine Learning Engineer - London (Hybrid) - £60,000

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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 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.

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.

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.