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.