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Featured Jobs

Data-Driven Forecasting Analyst – (Pharmaceutical Consultancy)

Data-Driven Forecasting Analyst – (Pharmaceutical Consultancy)High WycombeSalary/Rate: £28,000 rising to £31,000 after 6 months’ probation, plus quarterly bonusAre you a high-achieving recent maths or science graduate? Do you have a passion for mathematical problem solving? Are you looking for a unique opportunity to apply your knowledge in a research and development role within pharmaceutical forecasting?This is a superb opportunity to...

Sands

TECHNICAL SALES ENGINEERS X 5 AI /ML

Technical Sales Engineers / Solutions Engineers – AI & Machine LearningLocation: Remote UK with UK travelAre you passionate about AI, machine learning, and driving real business impact? Do you thrive at the intersection of technology and sales? If so, this is your opportunity to join an industry-leading company shaping the future of AI-powered solutions.Why Join Us?ARCA is partnering with a...

London

Technical Sales Engineers / Solutions Engineers – AI & ML

Technical Sales Engineers / Solutions Engineers – AI & Machine LearningLocation: Remote UK with UK travelAre you passionate about AI, machine learning, and driving real business impact? Do you thrive at the intersection of technology and sales? If so, this is your opportunity to join an industry-leading company shaping the future of AI-powered solutions.Why Join Us?ARCA is partnering with a...

Birmingham

Technical Sales Engineers / Solutions Engineers – AI & ML

Technical Sales Engineers / Solutions Engineers – AI & Machine LearningLocation: Remote UK with UK travelAre you passionate about AI, machine learning, and driving real business impact? Do you thrive at the intersection of technology and sales? If so, this is your opportunity to join an industry-leading company shaping the future of AI-powered solutions.Why Join Us?ARCA is partnering with a...

Manchester

Technical Sales Engineers / Solutions Engineers – AI & ML

Technical Sales Engineers / Solutions Engineers – AI & Machine LearningLocation: Remote UK with UK travelAre you passionate about AI, machine learning, and driving real business impact? Do you thrive at the intersection of technology and sales? If so, this is your opportunity to join an industry-leading company shaping the future of AI-powered solutions.Why Join Us?ARCA is partnering with a...

Bristol

Senior Electronics Engineer

Senior Electronics Engineer – Oxford – £65k - £75kHexwired is recruiting for a pioneering R&D company with offices in Oxford now seeking a Senior Electronics Engineer with solid experience working on Photonics and Optoelectronics systems.The company are rapidly expanding due to increased interest in their product range as well as developing bespoke solutions for customers. You will be working as...

Oxford

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Industry Insights

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

Shadowing and Mentorship in AI: Gaining Experience Before Your First Full-Time Role

How to Find the Right Mentors, Maximise Your Learning, and Position Yourself for a Successful AI Career The artificial intelligence (AI) field is expanding at a remarkable pace, offering countless opportunities to innovate, create, and make a meaningful impact across a variety of sectors. From healthcare and finance to retail and cybersecurity, AI is rapidly becoming an integral part of modern society. As demand for AI talent continues to surge, securing your first full-time role can feel both exciting and daunting. Many aspiring AI professionals wonder how to gain relevant experience to stand out among a sea of job applicants. This article explores the concept of shadowing and mentorship—two invaluable strategies that can help you acquire hands-on knowledge, build confidence, and connect with influential figures in the AI industry. By the end of this piece, you’ll not only understand how to identify potential mentors but also know how to nurture these relationships and showcase your value as a mentee, propelling you closer to your ultimate goal of landing your first AI job.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.

AI Leadership for Managers: How to Motivate, Mentor, and Set Realistic Goals for Data-Driven Teams

As artificial intelligence (AI) becomes ever more integral to modern business, the need for skilled leadership in AI-intensive projects has skyrocketed. Whether an organisation is building a sophisticated recommendation system, streamlining internal operations, or breaking new ground in automated decision-making, AI leaders hold the key to successful implementation. They bridge the gap between deep technical knowledge and broader business objectives, ensuring that data-driven initiatives meet real-world needs and deliver tangible value. This comprehensive guide is designed for managers and aspiring leaders aiming to excel in AI-driven environments. By exploring how to motivate and mentor AI professionals, set achievable goals, and foster a high-performance culture, you will gain valuable insights into what it takes to lead teams in a sphere defined by rapid innovation, complex challenges, and vast opportunities.

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

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