Opportunity Description
Senior / Lead Machine Learning Engineer - Time-Series, Customer Behaviour, ML systems, feature stores, MLOps
London Hybrid | £100,000 – £120,000 + Equity
This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work.
The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale.
The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There’s also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position.
What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You’d be joining a relatively small b...
London Hybrid | £100,000 – £120,000 + Equity
This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work.
The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale.
The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There’s also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position.
What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You’d be joining a relatively small b...
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