Senior MLOps Engineer deploying ML - powered applications at Allica Bank. Building, prototyping, and ensuring the reliability of AI tools for SMEs.
About the role
- Machine Learning Engineer at Lloyds Banking Group, supporting data-led innovation and AI solutions for financial services. Join a diverse team influencing the lives of 30m+ customers across the UK.
Responsibilities
- Joining their Data Science team, supporting all stages of a project from working with the business collaborators and users to exploring the problem statement.
- Experimenting with different modelling approaches and developing systems powered by Machine Learning.
- Understanding the business’ requirements and working with POs and Engineers to represent them through the creation and prioritisation of work for the development team.
- Developing and deploying models and Machine Learning systems in Python.
- Supporting other Data Scientists and working in close collaboration with the end users and business SMEs.
- Having a material impact on the lives of up to 30m+ customers across the whole of the UK.
Requirements
- Working with NLP/ML/GenAI models, and having extensive production experience in Python.
- Applying deep learning, machine learning, analytical techniques, data processing, clustering, regression, and classification to create ML models.
- Creating ML/LLM Ops and end-to-end pipelines on both on-premises and cloud platforms.
- Coding/scripting experience (Python) developed in a commercial/industry setting.
- Solid understanding of Python, including writing modular Pythonic code, familiarity with core Python data structures, fluency with pandas, and experience with unit testing.
- Hands-on work experience with Google Cloud Platform (GCP) implementations.
- Experience in implementing and supporting Machine Learning systems, including automating data validation, model training, model validation, and model monitoring.
- Awareness of the latest industry technical developments, emerging trends, and new technologies related to Natural Language and Generative AI.
- Experience working with and building CI/CD pipelines.
- Docker containerisation to build Docker containers from scratch.
- Experience in infrastructure via Terraform or any other tool resulting in build, test and maintaining it.
- Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.
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
- 28 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
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