Machine Learning Engineer

Oho Group
Southend-on-Sea, England
11 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Machine Learning Engineer

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

Machine Learning Engineer

PhysicsX United Kingdom
On-site

Machine Learning Engineer

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom
£450 – £500 pd Hybrid

Machine Learning Engineer

Rebel Recruitment Nottingham, Nottinghamshire, United Kingdom
£500 – £600 pd Hybrid

Machine Learning Engineer - Robotics & Perception

Jonathan Lee Recruitment Chetwynd Aston, Shropshire, United Kingdom
£45,000 – £55,000 pa On-site
Posted
10 Jun 2025 (11 months ago)

Machine Learning Engineer – London – Exciting Early-Stage Start-Up

Are you looking for you next Machine Learning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the position for you!

This Machine Learning Engineer role is an early-stage position as the company is only beginning to scale this year. The founders have a very successful background with an incredible portfolio of previous projects. Working within a start-up company will provide you with the opportunity to create an impact on the potential direction of the business. You will be working alongside an incredible team who are motivated and very well-funded.

The ideal candidate should want to be a part of a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machine learning and computer vision software solutions.

Ideally you should have:

  • A solid academic background, preferably from a leading University with high grades in Computer Science or a STEM subject
  • 2+ years commercial experience as a Machine Learning Engineer
  • Motivated about joining an early-stage start-up
  • Excellent communication and collaboration abilities
  • Familiarity with modern frameworks and languages (e.g., React, Vue, Golang, iOS, Android) is a plus, but not required


What you can expect:

  • A competitive salary
  • Equity options
  • Flexible, hybrid working environment
  • Working alongside an amazing team


Machine Learning Engineer – London – Exciting Early-Stage Start-Up

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

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

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. 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.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.