Full job description

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 BackgroundsWe’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.