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

Apply Now

Senior AI Engineer

Capita
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Staff AI Engineer - AIOps

Staff AI Engineer - AIOps

Senior AI Agent Engineer (Machine Learning)

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Description

:

What you’ll be doing:

In this role, you will have the chance to take a leading position, spearheading the development and delivery of cutting-edge software solutions empowered by state-of-the-art AI technologies such as Natural Language Processing and Computer Vision.

You will play a pivotal role in developing AI products that directly impact the work of hundreds of public sector staff, radically transforming the way they operate and deliver their services.

Your AI applications will have a far-reaching impact across critical national services, encompassing sectors such as defence, transport, healthcare, education and learning, central government, local public services, and beyond.

What we’re looking for:

UK Residency for minimum of the last 3 years to meet client vetting requirements

Deeply proficient in Python and familiar with JavaScript

Experience working with unstructured data (e.g., text, speech, image, video)

Knowledge and application of machine learning and data science concepts (Natural Language Processing and Computer Vision in particular)

Experience with deep learning frameworks (e.g., PyTorch, Keras, TensorFlow)

Deep understanding of software development principles, algorithms, data structures, and design patterns

Strong knowledge of web application frameworks and technologies (e.g., FastAPI, Node.js)

Expertise in database management systems (e.g., SQL, NoSQL)

Experience with cloud platforms and services (e.g., Microsoft Azure, AWS)

Experience with deploying and monitoring ML in operations (e.g., Databricks)

Strong understanding of DevOps and version control tools and practices (e.g., Git, Docker, Kubernetes, CI/CD pipelines)

Proven track record of delivering high-quality software projects on time

Motivation to adapt to new technologies and learn quickly

Strong documentation and technical writing skills

Understanding of large language models and their applications (e.g., OpenAI GPT)

Understanding of cybersecurity principles and best practices

Experience with performance optimisation and scalability techniques

What’s in it for you

A competitive basic salary and benefits

Private Healthcare

25 days holiday (rising to 27) with the opportunity to buy extra leave

Company matched pension, life assurance, a cycle2work scheme, 15 weeks’ fully paid maternity, adoption and shared parental leave…and plenty more

Voluntary benefits designed to suit your lifestyle – from discounts on retail and socialising, to health & wellbeing, travel and technology

The opportunity to take a paid day out of the office, volunteering for our charity partners or a cause of your choice

Access to our Employee Network Groups, which represent every strand of diversity and allow colleagues to connect and learn from each other on an open, inclusive platform

You’ll get the chance to follow your chosen career path anywhere in Capita. You’ll be joining a network of 41,000 experienced, innovative and dedicated individuals across multiple disciplines and sectors. There are countless opportunities to learn new skills and develop in your career, and we’ll provide the support you need to do just that. Our purpose is to create a better outcome for you.

What we hope you’ll do next:

Looking to discover more? Let your line manager know, then choose ‘Apply now’ to fill out our short application. If you would like further information, please contact

Location:

London

,

United Kingdom

Time Type:

Full time

Contract Type:

Permanent

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.