Lead ML Engineer

We're looking for a Lead ML Engineer to help build and mature the deployment environment for a range of enterprise machine learning models. Based in Bradford, this 12-month hybrid contract offers the opportunity to work closely with architecture, data science and process innovation teams on productionising ML at scale.
Please make an application promptly if you are a good match for this role due to high levels of interest.

You'll focus on strengthening deployment maturity, building robust ML pipelines and supporting the monitoring and operation of models across predictive, text-embedding and foundation model use cases.

Key Skills:

• Kubeflow and TFX with Vertex AI as the orchestration layer
• Strong Python development
• GCP and ML model deployment
• Data preprocessing, optimisation, training and serialisation
• Model A/B testing and monitoring
• CI/CD/CT for ML models
• Container Registry xehkeey and Artifact Registry
• Pylint, code coverage and static code analysis
• Continuous Machine Learning (CML)

For more information or to apply directly, please email I review applications daily and will contact shortlisted candidates as quickly as possible.