Senior Machine Learning & AI Engineer - Consumer Data Science
$72,702–$80,780 year
On-siteManchester, England, United Kingdom or Chester, England, United Kingdom
Job Summary
Develop and maintain production-grade machine learning and generative AI solutions in Python, integrating them with cloud platforms, APIs, and CI/CD pipelines. Collaborate with data scientists and business stakeholders to move innovative ideas from experimentation through to live production environments. Design scalable, secure, and well-governed applications using MLOps tooling, Kubernetes, and Infrastructure as Code while influencing technical decisions and team standards. Contribute to incident management and the future direction of AI engineering within the Group's Consumer business. Work across platform, architecture, and governance teams to deliver robust lending and consumer data science solutions.
Required Qualifications
- 5+ years' experience delivering software solutions across the full development lifecycle, including taking machine learning or AI solutions from experimentation through to live production environments
- Advanced software engineering expertise, including software design patterns, programming concepts, automated testing, CI/CD pipelines and production deployments
- Strong Python development experience in a commercial machine learning environment, including libraries such as Pandas, Scikit-Learn and XGBoost
- Experience working with cloud-based machine learning and data platforms, including technologies such as Vertex AI, BigQuery, Cloud Run or equivalent cloud services
- Practical experience implementing MLOps tooling and frameworks such as Kubeflow Pipelines, dbt or similar solutions, including monitoring and operationalising large-scale models
- Experience working with Infrastructure as Code, Kubernetes, API authentication and distributed systems within enterprise environments
- Exposure to Generative AI and Agentic AI frameworks such as LangChain, ADK or similar technologies
- Experience configuring and optimising Large Language Models (LLMs), balancing performance, risk and cost considerations
- Experience partnering with architecture, platform, governance and risk teams to successfully deploy solutions into production
- Knowledge of retail banking, lending products or regulated financial services environments
Desired Qualifications
- And any experience of these would be great
- Exposure to Generative AI and Agentic AI frameworks such as LangChain, ADK or similar technologies
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