London
Full-time
Not specified
Mid-Senior level
Salary
£140,000.00
Sponsorship
15% more than your current base salary
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Job Description

Staff Machine Learning EngineerCompetitive salary up to £140,000- £210,000 + bonus London based (1 day in office per month)This is a global technology group with an R&D team that moves fast and thinks big. They're exploring how AI can raise the quality and performance of large‑scale digital products, blending hands‑on engineering with real research. If you enjoy trying new ideas, you'll fit in perfectly.THE COMPANYThis is a global tech organisation with a dedicated R&D function exploring how AI can improve the quality, reliability, and performance of large‑scale digital experiences. The team works on forward thinking projects that blend research, experimentation, and hands‑on engineering.THE ROLEAs a Staff ML Engineer, you'll take the lead on projects focused on anomaly detection in video based or interactive environments. You'll guide technical direction, support junior engineers, run experiments, and ship models into production.Specifically, you can expect to be involved in the following:Building and improving ML models for anomaly detectionLeading research work streamsScoping, planning, and communicating project direction with stakeholdersMentoring juniorsWorking across areas like self supervised learning, multi modal, or vision‑language modelsBringing concepts to life: from research → prototype → productionSKILLS & EXPERIENCEYou'll thrive in this role if you have:Experience leading technical delivery or mentoring junior ML engineersStrong hands‑on ML skills in Python and frameworks like PyTorch or TensorFlowA background in anomaly detection, computer vision, or video based MLExperience taking ML research or prototypes through to real world deploymentEither a research grounding (publications, research‑led roles) or deep knowledge of gaming/interactive systemsBENEFITSCompetitive salary1 day per month in the officeSponsorship availableGreat feedback and clear processHOW TO APPLYPlease register your interest by sending your resume to Madison Barlow via the Apply link on this page.

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