Machine Learning Engineer

Ethiq
London
5 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Machine Learning Engineer

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 Good

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Machine Learning Engineer (Up to £180K) – 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 £180K 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.

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

🍪 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.