Senior Machine Learning Engineer in Chester

End Date

Friday 09 October 2026

Salary Range

£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.

Benefits

• 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

Disability Flexibility

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.

Legal and Data Privacy Statement

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.

About Lloyds Banking Group

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We're focused on creating a values‑led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.

Contact

Should you wish to contact us for any reason, please email us at: careers@lloydsbanking.com

Flexible Working Options

For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.