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Featured Jobs

Artificial Intelligence Engineer - Agentic bioimage data platform

The Challenge: 80 Hours or 1 Hour?Advanced 3D microscopes generate terabytes of data daily, with a single scan taking over 80 hours to analyze. This massive data bottleneck is holding back critical research into cancer, Alzheimer's, and other diseases. At Dataflight, we're breaking that barrier. Our core technology, the Adaptive Particle Representation (APR), cuts data size and processing time by...

Dataflight
Oxford

Artificial Intelligence Lead

AI LeadHours: 37.5 hours per week, permanentSalary: £(phone number removed) per annumHybrid: 3 days per week at one of our offices: Head office (Stoke on Trent) Travel to other offices when requiredWe are seeking a visionary Artificial Intelligence Lead to spearhead the integration of AI technologies across our operational teams. This newly created role is critical in driving automation, operational...

Stoke-on-Trent

Artificial Intelligence Engineer

About the RoleThis is a hands-on development role at the heart of a fast-moving and innovative tech environment. You'll be building intelligent systems powered by real-time data and AI, working across the full stack with Python, Node.js, and React.You will be tackling real-world logistics challenges and need to be a capable developer who thrives in solving tough, meaningful problems using...

Boost Talent ltd
Manchester

Artificial Intelligence Engineer

AI Engineer– Permanent – Hybrid (Oxford 2 Days Per Week) – £100,000+ – Active SC Clearance RequiredI am working with a deep-tech start-up seeking a highly skilled AI engineer to join their growing team. This role will focus on developing AI algorithms for Neural Network-based NLP and Computer Vision, while collaborating with institutional, academic, and commercial partners.The RoleDevelop and refine...

Intec Select
Oxford

Artificial Intelligence Engineer

AI Engineer – Legal – London/Glasgow Hybrid - £90KAre you an experienced AI Engineer with experience training and deploying language models?Have you developed LLMs and GenAI applications for the legal sector?Who are we?We’re helping a global law firm grow their tech team with the addition of an AI team, this includes 2 AI Engineers, who will be working on developing...

MBN Solutions
City of London

Artificial Intelligence Engineer

Ai Engineer (LLM)Contract Length: 6-MonthsLocation: Fully Remote (UK Candidates Only)Day Rate: £450-£500 Outside IR35Start Date: ASAPAre you an Ai Engineer with a vast amount of experience working on on-premises LLM Products?We’re working with a Health-Tech company and they’re looking for a Ai Engineer to support them with implementing an off-the-shelf Ai product that will support their customers with their sensitive...

Understanding Solutions
Leeds

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Career Advice

Advance your AI career with expert advice, practical job search tips, and insightful industry guides.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

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