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.