Machine Learning Engineer

Machine Learning Engineer at Lloyds Banking Group

Salary: £70,900 pa to £107,000 pa (dependent on location and experience) plus an extensive benefits package.

Hours: 35 hours, full time.

Working pattern: Hybrid – two days per week, or 40% of time, at one of the hubs.

Location: London, Bristol, Manchester, Chester.

We invest billions in people, data and tech to transform how we meet the everchanging needs of our 26 million customers. We embrace collaborative, agile ways of working to deliver the best outcomes for colleagues, customers and businesses.

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• Develop and maintain end‑to‑end ML systems in Python alongside data scientists, including engineering new features.
  
• Maintain and refine high‑quality, reusable data and ML pipelines at scale.
  
• Lead incident management and resolution, working closely with the strategic platform team and business partners.
  
• Collaboratively identify, develop, and implement new solutions that deliver customer and business value.
  
• Promote high‑quality ML practices, maintain an effective control environment, share knowledge, and provide technical leadership or support as needed.
  
• Proactively seek opportunities to improve solutions and present concrete plans to deliver measurable outcomes.
  
• Deliver in line with LBG data science, model governance, and risk management policies and procedures, maintaining constructive relationships with specialist colleagues.
  
• Grow capability by pursuing and investing in personal development opportunities.
  
• Keep up to date with emerging developments in Data Science, ML engineering and MLOps, and share findings with the team.
  

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• Computer science fundamentals – clear understanding of data structures, algorithms, software design, design patterns, and core programming concepts.
  
• Experience with the core Python data stack (Pandas, NumPy, Scikit‑learn, etc.), pipeline orchestration frameworks such as Airflow or Kubeflow Pipelines, and statistical modelling.
  
• Demonstrable understanding of key concepts including Python testing frameworks, CI/CD, source control.
  
• Experience working with large data sets and data platforms to deploy scaled Machine Learning models in a live environment.
  
• Commercial experience across the full software development lifecycle, from experimentation to production.
  
• Exposure to GCP cloud tooling (e.g., Vertex AI, BigQuery) highly desirable.
  
• Sound understanding of or desire to learn about retail banking and applying technical skills within the industry.
  

Lloyds Banking Group is disability confident and welcomes applications from under‑represented groups. We are committed to inclusivity, celebrating diversity in all its forms.

Direct message the job poster or apply via our careers page. We support reasonable adjustments during our recruitment process.