Machine Learning Engineer at Larian Studios
Guildford
—
Jul 19, 2026
Guildford
Jul 22, 2026
What this job asks for AI summary
A machine learning engineering role focused on finding and applying ML techniques to improve game engine performance, development pipelines, and player experience. The position also involves maintaining existing ML systems and building internal knowledge across a global studio through education and mentoring. Suited to engineers with at least four years of ML experience who have an interest in games.
Mid level · 4+ years · Bachelor's required · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
Location is not explicitly stated in the posting. Larian Studios operates studios in multiple countries (Belgium, Canada, Ireland, Malaysia, Portugal, UK, USA), and the role is described as on-site. The role is likely based outside the US given Larian's headquarters in Ghent, Belgium; the US-based flag has been set to false, but the specific studio location is unknown.
The degree requirement states 'Degree in a technical field such as Machine Learning, Computer Science, Mathematics, or equivalent practical experience.' Because equivalent practical experience is explicitly accepted, the degree is not a hard gate — however, the phrasing leans toward requiring a degree-level qualification, so this is a borderline call; it has been treated as None (no hard degree requirement) per the schema rules on equivalent experience.
SOC classification is Medium confidence: the role is titled 'Machine Learning Engineer' with a focus on applying ML techniques and maintaining ML systems, which maps best to Data Scientists (15-2051). However, the emphasis on engineering pipelines, game engine optimization, and MLOps also has meaningful overlap with Software Developers (15-1252), noted as the runner-up.
Gaming industry experience is listed under 'Nice to Haves' and is treated as preferred.
No compensation figures were provided in the posting.
Read the full posting
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