End Date
Friday 26 June 2026Salary Range
£72,702 - £80,780We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid WorkingJob Description Summary
.Job Description
JOB TITLE: Senior Machine Learning & A.I Engineer
SALARY: £72,702 - £80,780
LOCATION(S): Bristol
HOURS: Full-time
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites
About this opportunity
In this role, you’ll contribute to the organisation by analysing key themes from a wide range of data sources and identifying potential impacts on the business. You’ll work within established data management systems and processes while supporting both internal teams and external customers. This role has a strong focus on continuous improvement, operational excellence and effective knowledge management across the organisation.
What you’ll be doing:
Analyse data from multiple sources to identify key themes, issues and potential business impacts.
Deliver outcomes using established data management and risk management processes, ensuring consistency and compliance.
Support customers and colleagues by providing clear guidance, tailored communication materials and informed advice based on existing procedures.
Identify process, system and security improvements, contributing to small change initiatives with guidance from senior colleagues.
Participate in strategic planning, knowledge management and team development activities, including coaching others and managing short‑term objectives.
Navigate a variety of processes and precedents to interpret data, resolve issues and support decision‑making.
Why join us?
We’re transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We’re growing, and we’d love you to be part of the journey.
What we’re looking for:
Strong hands‑on experience developing and deploying machine learning models in production, ideally in large‑scale or cloud‑native environments.
Advanced Python skills, using libraries such as NumPy, Pandas, scikit‑learn, PyTorch or TensorFlow.
Solid understanding of the end‑to‑end ML lifecycle, including feature engineering, model selection, optimisation and evaluation.
Experience designing and delivering scalable, maintainable ML systems and production‑ready pipelines.
Ability to work effectively with cross‑functional teams and translate complex business needs into technical solutions.
Experience deploying ML solutions on cloud platforms (preferably GCP).
Strong problem‑solving skills with the ability to identify issues, analyse patterns and improve model performance.
Commitment to responsible AI practices, ethical data use and secure handling of information.
Experience coaching or guiding others and contributing to a knowledge‑sharing culture.
We know that great talent comes from many backgrounds. 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.
This is a place for you
We want to ensure all our candidates have the opportunity to shine. Please let us know if there is anything we can do to make the sure the assessment process works for you.
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
Ready to make an impact? Apply today.
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.