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Prestigious opportunity with a Market Leading Global Retail organisation for a Senior Data Engineer to join our success story in Blackburn. Following a period of significant growth, we are expanding our team to further drive the business forward.You will be responsible for:-Designing, building and maintaining scalable data pipelines using Python, MS SQL server and robust data pipelines to transform and...
Embedded Linux Engineer – £75k – semi remote - OxfordHexwired Recruitment is recruiting for a rapidly expanding solutions provider based in Oxford now seeking an Embedded Linux Engineer to help deliver key projects within Audio and media solutions!The company are expanding to meet the demands of their clients and are seeking an Embedded Linux Engineer ideally with experience working within...
Lead Electronics Engineer – £65k - £80k – semi remote - WokingHexwired Recruitment is recruiting for a rapidly expanding solutions provider based in Woking now seeking a Lead Electronics Engineer to help deliver key projects for clients across a range of industries! You will be working as part of an experienced team to develop a range of bespoke products.The company...
FPGA Engineer – £40k - £60k – semi remote - SloughHexwired Recruitment is recruiting for an expanding Electronics manufacturer based in Slough now seeking an FPGA Engineer to help deliver key projects for clients across a range of applications. You will be working as part of an experienced team to develop a range of bespoke products.The company are expanding to...
QC Specialist Data AnalyticsTeam Horizon is seeking a QC Specialist Data Analytics for our client based in Dublin who will have a key role in Quality Transformation and the QC Optimization Initiative. The role will be responsible for applying advanced data analytics to extract actionable insights, optimize QC workflows, and drive digital transformation in quality operations.If you are passionate about...
Title: Senior ML EngineerCompany: Med-techLocation: London (Hybrid)Pay: Up to £450/day (Inside IR35)Duration: Initial 6-month periodOverview:A tech company at the cutting edge of Video Processing, Machine Learning and GPU optimisation are looking for a Senior ML Engineer to help define a development road-map and provide proof of concept for a new product.In this position you will be working on a brand...
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"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.
In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.
Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.
The United Kingdom has long been a hub of innovation, drawing some of the world’s brightest minds to its shores. In recent years, the country’s thriving technology ecosystem has been propelled by advances in Artificial Intelligence (AI), Machine Learning (ML), Robotics, Data Science, and related fields. From deep-tech start-ups in Silicon Roundabout to established global powerhouses, the UK remains at the forefront of AI research and development. Yet, for international AI professionals hoping to contribute to the UK’s tech growth, one of the most challenging hurdles can be understanding the visa and work permit landscape. The UK immigration system has its unique nuances, and it can be overwhelming to decide which route is best suited for your career aspirations. This comprehensive guide will help you navigate the main visa and work permit options for AI professionals, provide insight into the eligibility criteria, and offer practical tips on securing your dream role in the British AI sector.
In recent years, the United Kingdom has emerged as one of the leading global hubs for artificial intelligence (AI) innovation. With a strong academic tradition, active technology communities, and robust government support, the UK has seen the rise of numerous world-class AI research labs and institutes. Many of these organisations not only drive significant academic breakthroughs but also foster powerful industry collaborations, creating thriving ecosystems where talent, investment, and creativity converge. If you are keen on pursuing an AI career—be it in academia or industry—understanding where these AI powerhouses are located, what they specialise in, and how they collaborate can help you map a clear route to success. In this blog post, written specifically for ArtificialIntelligenceJobs.co.uk, we delve into the top UK AI research labs and institutes, outline the career paths available, and highlight how you can be at the heart of Britain’s AI innovation.
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.
