Senior Machine Learning & AI Engineer

Overview

Senior Machine Learning and AI Engineer role at Lloyds Technology Centre, focused on deploying AI/ML models into production and scaling them on strategic infrastructure.

What you'll do

• Design patterns, tooling and templates to rapidly and efficiently deploy models into production.
• Scale AI/ML solutions on strategic infrastructure and integrate them into existing systems.
• Analyse key themes using data from a wide range of sources and identify possible impacts on the business.
• Deliver prescribed outcomes by working as directed within established data management systems and procedures.
• Meet the needs of significant customers related to a range of products and services and/or manage a customer advisor team over a given area.
• Write and edit materials for a variety of target populations, tailoring tone and content to each audience.
• Take responsibility for implementing a team's formal development framework with guidance from senior colleagues, while informally coaching others in area of expertise.
• Identify shortcomings and suggest improvements to existing processes, systems and procedures, and deliver a plan for a small element of a change management programme with guidance from a project/programme manager.
• Advise managers on how to apply a wide variety of existing procedures and precedents.
• Highlight shortcomings and suggest improvements in IT Security processes, systems and procedures within assigned unit and/or discipline.
• Explore issues and/or needs to establish potential causes, related issues and barriers.
• Deliver prescribed outcomes for a designated area, using risk management systems to ensure the organisation is not exposed to undue risks.
• Develop and/or deliver elements of a strategic planning system with guidance from senior colleagues.
• Manage the development and/or operation of a knowledge management system with guidance from senior colleagues.
• Develop and/or deliver a plan for a specific area of responsibility by managing others.
• Set short term objectives and help manage the performance of direct reports within performance management systems.
• Navigate a wide variety of existing processes, procedures and precedents to interpret data and identify possible answers.

Details

• Location: Hyderabad Knowledge Park Tower 2.
• Work mode: Hybrid working; flexible working options are supported.
• Closing date: Friday 30 October 2026.