Machine Learning Engineer

As a Machine Learning (ML) Engineer, you'll play a meaningful role in developing, operating and maintaining ML solutions across Consumer Lending. You'll work on different projects with a wide variety of colleagues to understand how we can apply the latest ML thinking to deliver va

lue.Working in our growing team enables you to get close to and understand how the business operates, how we serve our customers and the role that Data Science and ML can play in making things better for LBG and its customers - and it's this proximity to the business that sets us ap

art.Your role will evolve as the team matures, so we'd love to hear from applicants who are highly motivated, curious, keen to learn and open to trying new ways of working. We're also looking for applicants with a proven background in working with large-scale applications and data platfo

rms. Key activities in the, Develop and maintain end-to-end ML systems in Python alongside our data scientists, including engineering new features, specifically providing expert ML

• input.Maintain and refine high quality, reusable data and ML pipelines at
• scale.Play a leading role in incident management and resolution, working closely with the strategic platform team and business par
• tners.Work collaboratively with others to identify, develop and implement new solutions that deliver customer and business
• value.Promote high quality ML practices alongside maintaining an effective control environment, sharing knowledge with others and offering technical leadership or support as n
• eeded.Proactively seek opportunities to improve solutions and present concrete plans to deliver
• these.Deliver in line with LBG data science, model governance and risk management policies and procedures, maintaining constructive relationships with specialist colleagues in these
• areas.Grow your capability by pursuing and investing in personal development opportun
• ities.Keep up-to-date with emerging developments in the Data Science, ML engineering and MLOps fields, and proactively share findings with the

We're looking for candidates with the following knowledge, experience and capab

• ilities:Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming c
• oncepts.Experience with the core Python data stack (Pandas, NumPy, Scikit-learn, etc) developed in a commercial setting, an appreciation of pipeline orchestration frameworks (e.g., Airflow, Kubeflow Pipelines, etc), applied knowledge of statistical modelling and/or experience in implementing and supporting ML
• systems.Demonstrable understanding of key concepts including Python testing frameworks, CI/CD, source contr
• ol, etc.Experience of working with large data sets and with data platforms to deploy scaled Machine Learning models in a live envi
• ronment.Demonstrable commercial experience across the full software development lifecycle, from experimentation through to live pro
• duction.Exposure to some GCP cloud tooling (e.g. VertexAI, BigQuery) is highly de
• sirable.Sound understanding of and/ or desire to learn about retail banking and how to apply your technical skills in th

g for us Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it is why we especially welcome applications from under-represented groups. We are disability confident. So, if you would like reasonable adjustments to be made to our recruitment processes, just le

t us know. If you are excited by the thought of becoming part of our team, ge