3 of 3 Remote/Hybrid Deep Learning Jobs in the South East

AI/ML Engineers - UK Wide

Hiring Organisation
describe.me
Location
London, South East, England, United Kingdom
Employment Type
Full-Time
Salary
£55,000 - £150,000 per annum
work with a range of UK employers actively hiring across these roles About the Roles We're looking for experienced AI and Machine Learning Engineers at all levels—from AI Engineer and ML Engineer through to Senior, Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied … machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across the full ML lifecycle—from problem framing and data preparation through ...

Machine Learning Engineer (ML and Computer Vision)

Hiring Organisation
Matchtech
Location
Surrey, United Kingdom
Employment Type
Permanent
Machine Learning Engineer (Computer Vision) Location: Bristol (hybrid) Type: Permanent (full-time) Team: AI/Computer Vision Visa: Unfortunately, visa sponsorship is not available for this role. About the Company A UK-based technology business building AI-led vision systems that turn image and video streams into automated, real … reliability, and accurate detection matter-helping teams monitor large areas and respond quickly when something changes. The Role We're looking for a Machine Learning/Computer Vision Engineer to help tackle challenging real-world problems using modern deep learning. You'll work closely with a multidisciplinary team ...

Senior Machine Learning Engineer

Hiring Organisation
BP Energy
Location
Sunbury-On-Thames, London, United Kingdom
Employment Type
Work From Home
term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Machine Learning Engineer who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade … systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will ...