At a Glance
- Tasks: Lead the design and development of innovative AI solutions for financial wellbeing.
- Company: Join Lloyds Banking Group, a leader in financial services and innovation.
- Benefits: Enjoy a competitive salary, generous pension, flexible working, and 30 days holiday.
- Other info: Collaborative environment with opportunities for growth and continuous learning.
- Why this job: Shape the future of AI in finance while making a positive impact on millions.
- Qualifications: Expertise in machine learning, software engineering, and technical leadership required.
The predicted salary is between 92701 - 109060 £ per year.
We support flexible working – Flexible Working Options: Hybrid Working, Job Share.
As a Senior Lead Machine Learning & AI Engineer within the Financial Wellbeing Platform, you’ll play a pivotal role in shaping and delivering ground breaking AI solutions that solve complex business challenges for our Financial Resiliency & Support teams. From predictive and generative AI to agentic systems, you’ll lead initiatives that transform digital experiences, automate processes, and unlock data-driven insights for colleagues and clients. You’ll provide technical and people leadership, define our capability roadmap, and ensure the delivery of high-quality, scalable models and solutions.
Do you want to shape how AI, machine learning and agentic technologies improve the financial wellbeing of millions of customers? As a Senior Lead Data Scientist and AI & Machine Learning Engineer within our Financial Wellbeing Platform, you'll play a leading role in defining and delivering innovative AI solutions that help colleagues and customers make better financial decisions. You'll work across predictive AI, generative AI and intelligent agent technologies, combining deep technical expertise with strategic leadership to deliver solutions safely, responsibly and at scale! You'll help define our AI capability roadmap, influence technical direction across multiple teams and support the growth of data science and AI engineering capability across the Platform!
Responsibilities
- Lead the design, development and optimisation of AI and machine learning solutions that address complex business challenges.
- Own delivery across the end-to-end AI lifecycle, from experimentation and model development through to deployment, monitoring and continuous improvement.
- Provide technical leadership across large, multi-team programmes, helping teams make sound engineering and architectural decisions.
- Partner with product, engineering, data and business teams to deliver scalable AI-powered products and services.
- Embed responsible AI, governance and risk management practices throughout development and deployment activities.
- Coach and develop data scientists and AI engineers, supporting capability growth and knowledge sharing across the wider organisation.
What you’ll need
- Data Science: Extensive experience developing, tuning and evaluating machine learning models and AI solutions in production environments.
- Machine Learning: Deep understanding of modern machine learning techniques, model deployment, monitoring and optimisation practices.
- Software Engineering: Strong capability building production‑ready services using Python, SQL and modern engineering practices, including APIs, event‑driven architectures and microservices.
- Technology Leadership: Experience providing technical leadership across complex, multi‑team deliveries, influencing strategy and enabling high‑quality outcomes.
- Critical Thinking: Ability to solve complex problems, analyse information effectively and make informed decisions in ambiguous environments.
- Stakeholder Management: Ability to communicate technical concepts clearly and build effective partnerships across engineering, product and business stakeholders.
These requirements reflect the role’s focus on AI delivery, technical leadership, software engineering, machine learning and enterprise‑scale data science capability. And any experience of this would be really useful.
About working for us
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 where everyone can thrive, learn and develop. We welcome applications from people with a broad range of backgrounds, experiences and perspectives. We provide reasonable adjustments throughout the recruitment process and in the workplace to reduce or remove barriers.
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
- Generous parental leave policies
Ready for a career where you can help shape the future of AI in financial services while learning, growing and making a positive impact?
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.
Financial Wellbeing Machine Learning and AI Lead Engineer in Manchester employer: Lloyds Bank plc
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in Leeds, Bristol, or Edinburgh, where you can thrive as an Analyst in BCB Credit Risk Modelling. With a strong commitment to diversity, equity, and inclusion, the company provides generous benefits including a pension contribution of up to 15%, flexible working options, and ample opportunities for professional growth and development, making it a rewarding place to build your career while contributing to meaningful financial services.
