Machine Learning Engineer

Machine Learning Engineer Remote-first (UK) | occasional travel to London officeUp to £85,000 + 10% Bonus I'm working with a business that is using machine learning to drive real commercial decision-making at scale across international markets. They're looking for a Machine Learning Engineer to join a small, high-impact team responsible for production ML systems supporting pricing operations across the UK, US and Europe. This is a genuinely end-to-end role sitting across Machine Learning, Data Science and MLOps, giving you ownership of production systems rather than just a small part of the ML lifecycle. Why join? Own production machine learning systems that directly influence pricing and demand decisionsWork across the full ML lifecycle, from data ingestion through to deployment and monitoringJoin a small team where your work will have visible commercial impactRemote-first environment with flexibility around office attendanceOpportunity to expand into AI and LLM-related projects over time What you'll be doing Building and maintaining data pipelines and ML workflowsDeploying, monitoring and improving production machine learning modelsInvestigating and resolving issues across data and model pipelinesWorking on demand modelling, pricing and revenue optimisation initiativesCollaborating with technical and business stakeholders across multiple regionsSupporting machine learning systems running across the UK, US and Europe What they're looking for Around 3-5 years' experience in Machine Learning Engineering, Data Science or a similar roleStrong Python and SQL skillsExperience deploying and supporting ML models in productionUnderstanding of MLOps principles and model lifecycle managementCloud experience, ideally AWS (Azure or GCP backgrounds also considered)Comfortable operating independently and solving problems with minimal supervisionStrong communication skills and a pragmatic, adaptable approach Nice to have Snowflake experienceSageMaker, Athena or DynamoDB exposureDemand forecasting, pricing or revenue optimisation experienceLLM or Generative AI exposure This role would suit someone who enjoys ownership, variety and solving real-world problems in production environments rather than working purely on experimentation or research. Machine Learning Engineer