Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science & AI Graduate Scheme (Manchester)

Lloyds Bank plc
Manchester
3 days ago
Create job alert
Job Details

End Date: Sunday 26 October 2025


Salary Range: £45,000


Location(s): Bristol, Edinburgh, Halifax, Leeds, London, Manchester. Minimum of two days per week in office as part of hybrid working policy.


Your AI era starts now

At Lloyds Banking Group, data isn’t just something we store in the cloud – it fuels ideas, sharpens decisions and drives progress. Our Chief Data & Analytics Office’s mission is simple: weave data, analytics and AI into every decision we make, so every choice, everywhere, is data‑driven.


Two years. Three game‑changing rotations

In this two‑year programme you’ll experience three eight‑month placements that cover fraud detection, credit risk, customer behaviour and building smarter banking tools.


You could become

  • A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques, always with an ethical mindset.
  • A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD and modern cloud engineering practices.

Both roles work with some of the biggest datasets in the UK – from Spark and statistical methods to emerging GenAI applications.


The work you could be doing

  • Design and deploy machine learning models for fraud detection, credit risk, customer segmentation and behavioural analytics using scalable frameworks such as TensorFlow, PyTorch and XGBoost.
  • Engineer data pipelines and ML workflows with Apache Spark, Vertex AI and CI/CD tooling for seamless model delivery and monitoring.
  • Apply advanced deep learning, NLP and statistical modelling techniques to extract insights and drive business decisions.
  • Explore and evaluate generative AI applications, including prompt engineering, fine‑tuning and safety alignment using Gemini, Claude and OpenAI APIs.
  • Design agentic AI systems that integrate autonomous decision‑making and multi‑agent collaboration to shape next‑gen banking solutions.
  • Innovate on Google Cloud Platform (GCP), scaling solutions from experimentation to production.
  • Deliver AI responsibly, understanding AI risks, bias mitigation, explainability and governance frameworks.

Your skills toolkit

  • Programming languages: Python.
  • Machine learning techniques and theory.
  • Generative and agentic AI.
  • AI solution design and evaluation techniques.
  • Cloud platforms: GCP.
  • CI/CD, DevOps and software engineering.
  • Data analysis, modelling and strategic design.
  • Business and commercial insights.

Your multi‑week AI power‑up

  • Foundations of machine learning.
  • AI literacy.
  • Ensemble methods & model optimisation.
  • Databases & big data.
  • Neural networks & deep learning.
  • LLM foundations, engineering, customisation and integration.
  • MLOps & cloud computing.

Learn it. Apply it. Keep going

  • Up to three Stanford Artificial Intelligence Professional Programmes.
  • Google Cloud certifications.
  • Coursera courses covering advanced ML, AI ethics and explainability.

Benefits

  • Generous pension contribution of up to 15%.
  • Annual bonus award, subject to Group performance.
  • Share schemes including free shares.
  • Benefits adaptable to lifestyle, such as discounted shopping.
  • 28 days’ holiday, plus bank holidays.
  • Wellbeing initiatives and generous parental leave policies.

Requirements

  • No minimum degree required, but demonstrate sound knowledge, understanding and technical skills aligned to the role through the application process.
  • Open to all students – from newly graduated to MSc/PhD.
  • Knowledge of analytical techniques and experience manipulating and deriving insight from data. Python coding experience, SQL knowledge and statistical modelling skills are essential.
  • Applicants must have full, unlimited right to work in the UK – sponsorship not available.

Application Process

Applications for our Data Science & AI Graduate Scheme open on 24th September 2025. Apply soon as programmes may close early if we receive high numbers of applications. The process is designed to help all candidates shine and includes detailed stages and success tips on our website.


At Lloyds Banking Group, we are committed to building a workforce that reflects the diversity of the communities we serve. We keep your data safe and conduct background checks only after you have been formally invited to interview or accepted a verbal offer.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science & AI Graduate Scheme (Bristol)

Data Science & AI Graduate Scheme (Manchester)

Data Science and AI Masters Placement Scheme (Bristol)

Data Science and AI Masters Placement Scheme (London)

2026 Data Science Graduate

2026 Data Science Graduate

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.