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

Apply Now

Machine Learning Engineer

MBN Solutions
Sheffield
3 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer – Insurance

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (AI Platform)

Machine Learning Engineer (R&D) – AI Incubator – upto £150k +equity – Remote (UK/EU)


Do you have a solid AI Research background?


Do you have experience creating PoCs from SOTA research?


Are you uptodate with the latest in AI?


The challenge

We’re a startup incubator, founded by a successful tech entrepreneur just over 2 years ago. Our expertise lies in Web3 technologies and AI, we’ve launched successful Blockchain startups and in the last 6 months, 2 AI startup.


As we grow our AI Startup portfolio, we’re searching for a couple of ML Engineers to join our R&D team, working closely with our CTO and VP of Engineering to explore use cases and SOTA research in AI in order to identify potential AI products, which you will take from idea to PoC and spin into zero to one startups.


You will be working on multiple ideas simultaneously whilst remaining an advisor to the startups you’ve spun out, making you influential in their success and will grow and lead an AI R&D function within the business.


About you

You’ll be an expert in AI, having worked for at least 5 years in the sector and have a genuine passion for AI technologies, have experienced several use cases (fails and successes), upto date with latest research in AI and an entrepreneurial mindset. You’ll cherish ambiguity and fog and be able to rapidly shift SOTA research into prototypes.


What we are looking for is someone with:

  • A background in Research (PhD desirable)
  • At least 3 years’ commercial experience of hands on developing PoCs, training and deploying AI models
  • Ability to wade through ideas and rapidly build prototypes
  • Experience fine tuning some of the more recent LLMs (OpenAI, Anthropic, Claude, LLaMA, Mistral etc)
  • Uptodate with current research in AI


Ideally you’ll have worked in an early stage startup or started your own, previous zero to one experience would be hugely beneficial.


Benefits

The role will be fully remote, being based in or around London would be an advantage as you can meet up with the VP of Engineering and CTO on occasions and bounce ideas off each other.

There’s a salary of up to £150k with equity in all the startups you spin out.


Please note: you must be eligible to work in the UK or EU to be considered for this position.


Interested?

If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following:

  • Email me at
  • Call me on

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.