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

Apply Now

Data Scientist - Deep Learning Practitioner

Webvoordeel.nu
Nottingham
1 week ago
Create job alert
About This Role

Data Scientist - Deep Learning Practitioner at Capital One in Nottingham. Our Data Science team develops Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights. We work closely with business partners to derive insights from complex data in a collaborative environment. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting and will support business partners as they develop advanced servicing products using Large Language Models (LLMs).


What Youll Do

  • Develop new deep learning approaches to advance underwriting models that form the heart of our lending business.
  • Apply these approaches to new types of (multi-modal) data to stay at the forefront of innovation.
  • Provide consultancy to our tech and product partners to design, develop and launch products powered by Large Language Models (LLMs), enabling seamless experiences for customers and associates.
  • Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
  • Work cross-functionally on projects that support key business initiatives and drive sustainable growth.

What Were Looking For

  • Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using LSTMs or transformers.
  • Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
  • Familiarity with both pre-training and fine-tuning of large-scale models.
  • Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.
  • A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
  • Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
  • Ability to communicate findings to a diverse business-focused audience, influencing others in both verbal and written form.
  • A drive for continued learning through an internal and external focus, in order to develop enterprise and industry-leading solutions.

Where And How You'll Work

This is a permanent position based in our Nottingham office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. We’re open to discussing flexible working arrangements.


What’s In It For You

  • Rewarding role contributing to the roadmap of an organisation committed to transformation.
  • Strong and diverse career progression with Capital One University training programmes and external providers.
  • Immediate access to core benefits including pension, bonus, generous holiday entitlement and private medical insurance, with flexible benefits such as season-ticket loans, cycle to work, and enhanced parental leave.
  • Open-plan workspaces and accessible facilities; Nottingham head-office includes a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.

What You Should Know About How We Recruit

We value diversity and inclusion and welcome applicants from all backgrounds. We strive to hire the best people and offer fair and accessible recruitment processes, with benefits that attract people at all ages and stages.


We partner with organisations such as Women in Finance, Race At Work Charters, Stonewall and UpReach. Internal networks include REACH, OutFront, Mind Your Mind, Women in Tech and EmpowHER, among others.



  • REACH – Race Equality and Culture Heritage group
  • OutFront – LGBTQ+ support
  • Mind Your Mind – mental wellbeing support
  • Women in Tech – inclusive environment in tech
  • EmpowHER – network for female associates and allies

Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact us. All information will be kept confidential and used solely to provide a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please email us. Capital One does not endorse or guarantee third-party products or services available through this site. Capital One Financial is made up of several entities; positions posted in the UK are for Capital One Europe.


Who We Are

At Capital One, we’re building a leading information-based technology company guided by our values: collaboration, openness, innovation powered by perspective, and respect. We strive to help customers succeed by bringing ingenuity, simplicity and humanity to banking.



#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Tax & Legal

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.