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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Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.
"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.
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