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

Nominate & Attend

AI Engineer

London
3 months ago
Applications closed

Related Jobs

View all jobs

AI Engineer

AI Engineering Researcher

Staff AI Engineer – Computer Vision & ML

Senior AI Engineer

Machine Learning Engineer - Bioimage Data & Agentic Systems

Agentic AI Specialist

Our client captures and analyses high-frequency data from satellites to enhance risk assessment, prevent equipment failures, and optimize operational efficiency. They are in search of a visionary leader to spearhead AI initiatives and significantly enhance their predictive capabilities.

The Role

Design, build, and implement advanced AI solutions
Work closely with engineering teams to bring models into production and enhance their performance
Collaborate with the CTO to shape the data science strategy and roadmap, identifying untapped potential in our datasets and the global satellite network
You Should…

Have 2+ years experience in machine learning and statistical modelling
Have a proven track record of building and deploying ML models in production environments, with strong CI/CD skills
Be proficient in Python and its data science ecosystem (pandas, scikit-learn, TensorFlow/PyTorch)
Have a solid understanding of time series analysis and anomaly detection
Possess excellent communication skills to explain complex concepts to various stakeholders
Have demonstrated experience leading data science initiatives
Be passionate about solving complex problems with messy, real-world data
Ideally, You…

Have experience with large-scale sensor data and real-time analytics
Have a solid understanding of physics and mechanical principles
Stay engaged with the rapidly-evolving AI ecosystem
Have experience with NoSQL databases (MongoDB) and platforms like Azure ML and Databricks
Have expertise in signal processing and condition monitoring
Have startup experience or have worked in fast-paced, startup-like environments

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.

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.