Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Artificial Intelligence Engineer

X4 Technology
Liverpool
4 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

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!

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.