Senior Machine Learning Engineer

JOB TITLE: Senior Machine Learning Engineer 

SALARY: £72,702 - £80,780 

LOCATION(S): Bristol, Chester or Manchester 

HOURS: Full time, 35 hours per week 

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. 

What you’ll be doing 

As a Senior Machine Learning Engineer, you’ll play a meaningful role in building and maintaining machine learning solutions in production across the Consumer business within Lloyds Banking Group. You’ll bring strong software engineering experience applied within a machine learning and data environment, using this to make things better for the Group and its customers. 

Being part of the Consumer Data Science team will allow you to gain insight into how the business functions and supports its customers. You will encounter a diverse range of projects, coworkers, and technologies, assisting the team in generating value from machine learning. 

As the team grows, the role will keep changing. We want to hear from applicants who are driven, inquisitive, eager to learn, and open to exploring new work methods. Candidates should have a strong background in large-scale applications and data platforms. 

• Develop and maintain machine learning systems in Python alongside data scientists and other machine learning engineers. 

• Take projects from experimentation through to production, including design and integration with other systems such as continuous integration and continuous delivery tools, application programming interfaces, and Dynatrace. 

• Engage with collaborators across business and technical teams to understand requirements and influence decision-making. 

• Propose, evaluate and advocate for technology, platform and architecture choices in line with Lloyds Banking Group guidelines. 

• Drive excellent engineering standards, consistency and culture across the team through technical leadership and knowledge sharing. 

• Play a leading role in incident management and resolution, working closely with the strategic platform team and business partners. 

• Proactively find opportunities to improve solutions and present clear plans to deliver them. 

• Provide results aligned with data science, model governance, and risk management policies and procedures, sustaining positive connections with specialized colleagues within these domains. 

 
Why join us? 

You’ll join a diverse, energising and informal environment focused on equal opportunity and career progression. The role offers the opportunity to work flexibly and collaboratively, while contributing to machine learning solutions that support the Consumer business and its customers. 

We take personal and professional development seriously and will support you to make a positive difference to the team and Lloyds Banking Group as a whole. 

What we’re looking for 

• Advanced understanding of software engineering best practice, programming concepts, automated testing, continuous integration and continuous delivery, and production deployments. 

• Commercial experience using key Python libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. 

• Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. 

• Hands-on experience with machine learning operations tooling and frameworks used with large datasets, such as Kubeflow Pipelines and dbt, including an understanding of production monitoring. 

• Experience with Infrastructure as Code, including Terraform, Kubernetes, application programming interface authentication flows and networking. 

• Experience collaborating with central platform, architecture and governance teams to move solutions into live production. 

• Experience across the full software development lifecycle, from experimentation through to live production. 

• A sound understanding of retail banking, or a desire to learn how to apply your technical skills in this area. 

Desirable skills/experience 

• Exposure to generative artificial intelligence and agentic tooling, such as Agent Development Kit or LangChain. 

• Experience configuring large language models to optimise cost and benefit.
   

This is a place for you 

Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We’re committed to creating an environment in which everyone can thrive, learn and develop. 

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health condition or neurodivergent condition through the Disability Confident Scheme. 

We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. 

We also offer a wide-ranging benefits package, which includes: 

• A generous pension contribution of up to 15% 

• An annual performance-related bonus 

• Share schemes including free shares 

• Benefits you can adapt to your lifestyle, such as discounted shopping 

• 30 days’ holiday, with bank holidays on top 

• A range of wellbeing initiatives and generous parental leave policies 
  

Ready to apply? 

If you’re motivated by building reliable machine learning solutions, enjoy working across engineering, data and business teams, and want to help deliver better outcomes for customers, we’d love to hear from you.