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

Apply Now

Machine Learning Engineer

Ethiq
London
9 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (Up to £150K) – Top VC-Backed Stealth Startup


London (Hybrid working)

Are you ready to drive the next big leap in AI? We’re working with a stealth-mode startup—backed by top venture capitalists—on a mission to make AI more accessible than ever. Their groundbreaking solutions are redefining how industries leverage intelligent systems, accelerating innovation, and unlocking new possibilities in the data-driven world.

If you thrive on ambitious challenges, love pushing boundaries, and are excited to work at the forefront of AI innovation, read on!


What You’ll Do

  • Generate & Curate Synthetic Data:Create large-scale synthetic datasets to power advanced AI models.
  • Model Training & Evaluation:Train and experiment with state-of-the-art models, assessing data quality to maximize performance.
  • Instruction Tuning & Alignment:Refine model instructions, optimize preference alignment, and keep AI systems ahead of the curve.
  • Data-Focused Research:Lead initiatives to enhance data quality, improve model outcomes, and push the boundaries of AI development.
  • Collaborate & Innovate:Work cross-functionally in a fast-paced environment where your ideas can shape the future of AI.


What We’re Looking For

  • Seasoned ML Expertise:3+ years of hands-on machine learning experience, with a track record of executing end-to-end ML projects.
  • Deep Tech Know-How:Strong background in ML, Deep Learning, LLMs, and frameworks like PyTorch.
  • Python Proficiency:Bonus points for advanced Python skills.
  • Synthetic Data & LLM Chops:Familiarity with synthetic data generation or large-scale LLM training is a plus.
  • GPU-Based Training Skills (nice to have):Comfortable spinning up GPU training environments (e.g., Lambda, Runpod, SageMaker).
  • Team Player:Thrives in a collaborative environment and loves to share knowledge and ideas.


Why You’ll Love It

  • High-Impact Role: Shape the future of AI at a top VC-backed startup poised for rapid growth.
  • Competitive Salary:£90k to £150K plus benefits.
  • Flexible Working:Enjoy a hybrid model – 3 days in the London office, 2 days WFH.
  • Career Growth:Advance your skills alongside an elite team of AI pioneers.
  • Cutting-Edge Tech:Access the latest AI innovations and help define new industry standards.


Join a culture that values ingenuity, thrives on collaboration, and celebrates breakthroughs. If you’re eager to push AI to new frontiers, this is your opportunity to make a lasting impact.


Send us your CV and let’s talk about how you can lead this AI revolution.

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.