National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Artificial Intelligence Engineer

X4 Technology
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Professional Development Expert - Artificial Intelligence Engineer (Level 6)

Senior GenAI Platform Engineer - Artificial Intelligence

Artificial Intelligence Co-Founder / Head of Engineering (100 % remote) (m/f/d)

Senior Analyst Programmer (Artificial Intelligence)

Artificial Intelligence Researcher

Job Title:AzureAI Engineer

Location: Fully Remote UK

Job Type:6 Month Contract + chance for extension

Interview Process: Video Interviews held remotely

Rate:DOE Outside IR35


A Consultancy we are working with have won a bid for a project with a media client who plan to improve their current AI infrastructure (chatbots, and demand forecasting). The client operates primarily in a Microsoft environment hence demonstratable experience using Azure functions in an AI context is a must.



AI Engineer Key Responsibilities:

  • Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions.
  • Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs.
  • Build machine learning models for content recommendation engines and audience insights.
  • Design AI-driven marketing tools, customer segmentation models, and automated A/B testing to improve targeting and ad performance.
  • Implement generative AI techniques for the creation of imagery relevant to client needs.
  • Collaborate with cross-functional teams to integrate AI solutions across marketing, operations, customer service, and sales.



AI Engineer Required Qualifications and Skills:

  • Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras).
  • Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL, Hadoop, Spark).
  • Experience with machine learning techniques, including NLP, recommendation algorithms, and computer vision.
  • Familiarity with cloud platforms (Azure) for deploying AI solutions.
  • Strong problem-solving skills and the ability to work collaboratively across cross-functional teams.
  • Excellent communication skills to explain complex technical concepts to non-technical stakeholders.


If you think this could be an exciting opportunity for you then please apply now!

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.