Node Developer (Artificial Intelligence)

Sanderson Recruitment Careers

Cardiff

1 year ago

Applications closed

Related Jobs

View all jobs

Advisory AI Infrastructure / MLOps Engineer

Machine Learning 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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.