Machine Learning Engineer

Talent Hero
Birmingham, England
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Faculty AI London, United Kingdom
£40,000 – £80,000 pa Hybrid Clearance Required

Machine Learning Engineer

Faculty AI London, United Kingdom
£40,000 – £80,000 pa Remote Clearance Required

Machine Learning Engineer

PhysicsX North Tyneside, NE29 8EP, United Kingdom
On-site Clearance Required

Machine Learning Engineer

Healx Cambridge, United Kingdom
Hybrid

Machine Learning Engineer (Applied AI / Scientific Computing)

Ion recruitment Guildford, Surrey, United Kingdom
£55,000 – £70,000 pa On-site

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Posted
26 Aug 2025 (8 months ago)

Machine Learning Engineer – Remote (UK Only | No Visa Sponsorship)
Work on AI Products for US Tech Companies

Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale.

If you're experienced with model design, training, and deployment — and want to work globally from home — we want to hear from you.

What You’ll Do:

  • Build and deploy machine learning models to address complex business needs
  • Develop scalable data pipelines and feedback loops for model training
  • Integrate ML into production systems alongside US product and data teams
  • Optimise model performance for accuracy, speed, and cost
  • Run experiments, A/B tests, and validate approaches statistically
  • Use tools like Python, TensorFlow, PyTorch, Scikit-learn, MLflow, SQL, Docker, AWS/GCP

UK-based applicants only – no visa sponsorship available. Apply once – we’ll match your profile to the right opportunities.

 

Requirements

  • Bachelor’s degree in Computer Science, AI, Machine Learning, or related field
  • 1+ year of experience in a Machine Learning Engineer or similar role
  • Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc.)
  • Hands-on experience deploying models into production environments
  • Solid grasp of algorithms, data structures, and statistical modelling
  • Familiarity with cloud platforms (AWS, GCP, Azure)
  • Bonus: Experience with NLP, computer vision, recommendation systems

Benefits

  • 100% remote – UK-based
  • Work with cutting-edge US AI teams
  • Access to multiple roles with one application
  • Fast, free hiring process
  • Some roles offer flexible hours around core US working times

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.