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

Apply Now

Node Developer (Artificial Intelligence)

Sanderson Recruitment Careers
Cardiff
9 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer


Role: Node Developer (Artificial Intelligence)
Rate: £600 p/d Inside IR35
Location: South Wales HQ - 2 days p/cm on site
Duration: 6 months

About the Role:

We are seeking a highly skilled and experienced Node Developer with experience building Artificial Intelligence (AI) solutions to join our clients newly created team. You will play a crucial role in developing and maintaining bleeding-edge AI-powered solutions that enhance business operations and customer experiences.

Essential Skills:

  • Strong proficiency in Node.js, JavaScript, and related technologies (e.g., Express.js, NestJS)
  • Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience with cloud platforms (e.g., AWS, Azure, GCP)
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
  • Ability to work independently and as part of a team

Key Responsibilities:

  • Design, develop, and maintain high-quality Node.js applications that leverage AI/ML technologies.
  • Collaborate with data scientists and AI engineers to translate complex AI models into scalable and efficient production systems.
  • Develop and implement RESTful APIs and microservices for AI-driven applications.
  • Ensure the performance, scalability, and reliability of AI/ML systems.
  • Particip...

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.

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.

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.

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.