Machine Learning Engineer

Machine Learning Engineer

Location: Bradford (Hybrid 3-days onsite)

Job Type: 6-month Contract

TTC Group is seeking an experienced Machine Learning Engineer to join a high-impact programme with a leading retail client in the UK. This role focuses on building scalable ML deployment environments and enhancing SDLC maturity for enterprise-level model launches. You’ll work closely with Data Science and Innovation teams to productionise models (predictive, NLP, and foundation models) and drive best practices in MLOps.

Responsibilities

• Design and implement end-to-end ML pipelines for scalable deployments
• Establish CI/CD frameworks for ML models using modern MLOps practices
• Manage model deployment lifecycle, including preprocessing, training, optimisation, and monitoring
• Implement A/B testing strategies to evaluate model performance
• Build and maintain container & artefact registries for ML assets
• Ensure model monitoring, performance tracking, and operational support
• Collaborate with Data Science teams to improve development workflows and deployment maturity
• Apply code quality practices, including coverage and static analysis (e.g., Pylint)

Requirements

• 8–12 years of experience in Machine Learning / MLOps engineering
• Strong expertise in Python
• Hands-on experience with Google Cloud Platform (GCP)
• Proven experience in CI/CD for ML models (CML or similar tools)
• Strong understanding of ML lifecycle: data preprocessing, training, deployment, and monitoring
• Experience with containerisation, artefact registries, and model versioning
• Familiarity with code quality tools and best practices

Nice to Have

• Knowledge of DevSecOps practices
• Background in Data Science
• Certifications in ML, Python, or DevOps

Be at the forefront of transforming how enterprise ML models are deployed, scaled, and delivered in a real-world retail environment.