Machine Learning Engineer

Machine Learning Engineer

• Remote-first (UK) | occasional travel to London office
• Up 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 decisions
• Work across the full ML lifecycle, from data ingestion through to deployment and monitoring
• Join a small team where your work will have visible commercial impact
• Remote-first environment with flexibility around office attendance
• Opportunity to expand into AI and LLM-related projects over time

What you'll be doing

• Building and maintaining data pipelines and ML workflows
• Deploying, monitoring and improving production machine learning models
• Investigating and resolving issues across data and model pipelines
• Working on demand modelling, pricing and revenue optimisation initiatives
• Collaborating with technical and business stakeholders across multiple regions
• Supporting 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 role
• Strong Python and SQL skills
• Experience deploying and supporting ML models in production
• Understanding of MLOps principles and model lifecycle management
• Cloud experience, ideally AWS (Azure or GCP backgrounds also considered)
• Comfortable operating independently and solving problems with minimal supervision
• Strong communication skills and a pragmatic, adaptable approach

Nice to have

• Snowflake experience
• SageMaker, Athena or DynamoDB exposure
• Demand forecasting, pricing or revenue optimisation experience
• LLM 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