Machine Learning Engineer

Ethiq
London
3 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 £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.

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.