National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Capability Leader

Omega Resource Group
Filton
2 months ago
Applications closed

Related Jobs

View all jobs

Delivery Manager

Data Engineering Lead

GenAI Data Scientist

GenAI Data Scientist

Principal Data Science & ML Engineering Consultant

Senior Data Engineer

The opportunity:Our clients team bring together models, simulations, real equipment, and people for the entire product lifecycle, using Synthetic Environments. We are looking for those that can offer the best skills and capabilities to be the best lead and articulate weapon system architectures and as a result, develop a capability that spans the full product lifecycle.You must have the drive and determination for delivering change and be someone with fresh ideas, creative input, and fit in to a role that is very varied and exciting!You will be working directly with the Head of this project to realise strategic initiatives and ensure the facilities, programs, and capabilities are the best of their class.As a keen technologist, able to engage various types of engineers, having themselves gained experience in AI, MLOps, and containerisation, to be able to achieve solutions that reduce risk and dispel the traditional approach.We are keen on you having excellent communication and interpersonal skills to win over minds and hearts to become a trusted part of the team and influence across the business, with the MoD, as well as other leading industry partners.In short we're looking for someone who:Ensure the capabilities are best in class (facilities, networks, infrastructure and processes) to deliver the teams vision.Be set on the best source of knowledge, with processes to capture and share specialised skill knowledge and to encourage self-development and innovation.Own the Visitor Experience across the facilities within the business and into overseas locations.Develop emerging technology plans through internal research in conjunction with the technical authorities in the teams.Define and run capital investment plans to ensure the department keep its capabilities.Have line management responsibilities for first reports, including professional development, sickness, absence, expenses and performance assessment.Experience of working with key partners (internally and externally) to realise innovation and the adoption of new technologiesAble to quickly grasp sophisticated defence concepts and articulate them, whilst holding your own technicallyAble to identify new technologies and how they can benefit systems engineeringA curious and growth mind-set eager to learn from our specialists in the field of Synthetic EnvironmentsOmega Resource Group is acting as an Employment Agency in relation to this vacancy

National AI Awards 2025

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 to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.