Queen Square Recruitment
Lead Machine Learning Engineer
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Lead ML Engineer
💰 £550/day (Inside IR35) 📍 Bradford (3 days per week onsite)
📅 12-Month Contract
Our client is looking for a Lead ML Engineer to work closely with the data science, architecture and process innovation teams to build and mature the deployment environment for a portfolio of Machine Learning models, including predictive, text-embedding and foundation models. You’ll focus on taking ML models from development into reliable, scalable enterprise production environments, establishing strong MLOps, CI/CD, monitoring and operational practices.
Key Responsibilities
- Build and mature ML deployment pipelines for enterprise model delivery.
- Develop ML pipelines using Kubeflow, TFX and Vertex AI.
- Establish robust model deployment, monitoring and operational support practices.
- Implement model preprocessing, optimisation, training and serialization workflows.
- Support A/B testing and continuous improvement of deployed models.
- Implement CI/CD/CT practices for machine learning models.
- Manage Container Registry and Artifact Registry for ML workloads.
- Implement code quality, coverage and static analysis using tools such as Pylint.
- Drive Continuous Machine Learning (CML) practices across model development and deployment.
- Work closely with Data Science and Process Innovation teams to improve ML delivery and ways of working.
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Essential Skills
- Strong experience building ML pipelines using Kubeflow and/or TFX.
- Hands-on Vertex AI experience as an orchestration layer.
- Strong Python development skills.
- Proven experience with enterprise model deployment and monitoring.
- Understanding of the complete ML lifecycle: preprocessing, training, optimisation and serialization.
- Experience with A/B testing of ML models.
- Strong GCP experience.
- Experience implementing CI/CD/CT for ML models.
- Hands-on experience with Container Registry / Artifact Registry.
- Experience with code quality, coverage and static analysis tools such as Pylint.
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Desirable
- DevSecOps experience.
- Continuous Machine Learning / CML experience.
- Data Science project experience.
- ML/Data Science or Python/DevOps certifications.
- Strong stakeholder and communication skills.
Please apply with your CV and we'll be in touch. Thanks!
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