Senior Machine Learning Engineer

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., 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.

• 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., 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.

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

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., 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 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.

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.