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

Apply Now

AI Solutions Architect (Hiring Immediately)

Barclays Bank PLC
Northampton
10 months ago
Applications closed

Related Jobs

View all jobs

Executive Director / Principal Machine Learning Engineer

Principal Machine Learning Engineer

Solution Architect – AI & Machine Learning

Data Scientist

▷ (Only 24h Left) Principle Enterprise Architect - Artificial Intelligence (1 Braham Street, London, United Kingdom)...

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Join us as anAI Engineering Leadat Barclayswhere youll spearhead the evolution of our digital landscape,driving innovation and excellence. Youll harness cutting-edgetechnology to revolutionise our digital offerings, ensuringunapparelled customer experiences. Are you ready to lead a team atthe forefront of AI innovation? Were on the hunt for a customerobsessed and forward-thinking AI Engineering Lead. This isnt justany job — its a journey where you will be required to help shapeand guide our organization! Imagine shaping the next generation ofAI- powered conversational solutions that redefine how we operateand overhaul the service we provide to millions of our customersand clients. Youll get to channel your visionary leadership, shareyour knowledge, develop our people, and drive our strategic agendato create a vibrant, dynamic environment where creativity andcutting-edge technology come together and thrive. Youll also becollaborating with cross-functional teams to craft groundbreakingAI solutions and help set new standards. If youre excited by thischallenge, speak to us! To be successful as anAI EngineeringLead**** you should have experience with: * Machine Learning, NLP& Deep Learning Exposure * Experience with scalable ML systemdesign. * Leadership skills to manage mid-size team Other highlyvalued skills include: * Proficiency in cloud platforms (AWSpreferred) * Innovation in Generative AI solutions * Good codingexposure - Python, Go This role will be based out of ourNorthamptoncampus *Purpose of the roleTo lead and manageengineering teams, providing technical guidance, mentorship, andsupport to ensure the delivery of high-quality software solutions,driving technical excellence, fostering a culture of innovation,and collaborating with cross-functional teams to align technicaldecisions with business objectives.Accountabilities* Leadengineering teams effectively, fostering a collaborative andhigh-performance culture to achieve project goals and meetorganizational objectives. * Oversee timelines, team allocation,risk management and task prioritization to ensure the successfuldelivery of solutions within scope, time, and budget. * Mentor andsupport team members professional growth, conduct performancereviews, provide actionable feedback, and identify opportunitiesfor improvement. * Evaluation and enhancement of engineeringprocesses, tools, and methodologies to increase efficiency,streamline workflows, and optimize team productivity.Collaboration with business partners, product managers, designers,and other stakeholders to translate business requirements intotechnical solutions and ensure a cohesive approach to productdevelopment. * Enforcement of technology standards, facilitate peerreviews, and implement robust testing practices to ensure thedelivery of high-quality solutions.Vice President ExpectationsAdvise key stakeholders, including functional leadership teamsand senior management on functional and cross functional areas ofimpact and alignment. * Manage and mitigate risks throughassessment, in support of the control and governance agenda. *Demonstrate leadership and accountability for managing risk andstrengthening controls in relation to the work your team does. *Demonstrate comprehensive understanding of the organisationfunctions to contribute to achieving the goals of the business. *Collaborate with other areas of work, for business aligned supportareas to keep up to speed with business activity and the businessstrategies. * Create solutions based on sophisticated analyticalthought comparing and selecting complex alternatives. In-depthanalysis with interpretative thinking will be required to defineproblems and develop innovative solutions. * Adopt and include theoutcomes of extensive research in problem solving processes. * Seekout, build and maintain trusting relationships and partnershipswith internal and external stakeholders in order to accomplish keybusiness objectives, using influencing and negotiating skills toachieve outcomes. All colleagues will be expected to demonstratethe Barclays Values of Respect, Integrity, Service, Excellence andStewardship – our moral compass, helping us do what we believe isright. They will also be expected to demonstrate the BarclaysMindset – to Empower, Challenge and Drive – the operating manualfor how we behave.

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.