MLOps Engineer

Contract MLOps / Machine Learning Engineer £650/day Inside IR35 6-Month Contract Hybrid London (2 days per week preferred) We're looking for an experienced MLOps / Machine Learning Engineer to join a high-performing recommendation team within a major consumer technology platform. This is an engineering-first role focused on deploying and scaling machine learning models in real-time production environments. You'll work on customer-facing recommendation systems, helping deliver personalised experiences at scale while contributing to modern ML and LLM-powered workflows. What You'll Be Doing Deploying machine learning models into production environments Building and maintaining real-time ML systems Supporting recommendation and ranking engines Working on model serving, monitoring and performance optimisation Deploying neural network and transformer-based models Contributing to product retrieval systems and LLM-powered workflows Collaborating closely with software engineers and data scientists What We're Looking For Strong experience as an MLOps Engineer or Machine Learning Engineer Proven track record deploying ML models into production Experience with real-time / online ML systems Strong software engineering and Python skills Experience operating and scaling ML infrastructure Excellent communication and stakeholder engagement skills Nice to Have Recommendation systems Ranking systems Personalisation platforms LLMOps experience TensorFlow PyTorch MLflow Triton Ideal Backgrounds We're particularly interested in candidates from: Recommendation & Personalisation E-commerce & Retail Tech Search & Discovery Conversational AI Fraud Detection Gaming High-scale consumer platforms Contract Details Initial 6-month contract £650/day Inside IR35 Hybrid London (2 days per week preferred) Two-stage interview process If you have experience deploying machine learning models at scale and enjoy solving real-world production challenges, we'd love to hear from you.