Artificial Intelligence Engineer

Maxwell Bond
Sheffield
8 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

AI Lead - 100% Remote - 12 month FTC - Up to £85K!


My Consultancy client are on the lookout for a skilled AI Lead to:


Research, prototype, plus build POCs that explore boundaries of agentic software development.

Stay plugged into latest LLM tooling and emerging platforms

Develop internal and customer-facing demos

Contribute to technical blogs, vlogs, and the occasional roundtable or industry event.

Create compelling AI-driven stories and artefacts for prospects.


Core Tech:


OpenAI APIs, Semantic Kernel, AutoGen, LangChain, etc.

Azure (especially Azure AI), .NET (C#) OR Python and C/C++

VS Code + Copilot, GPT-powered dev workflows, experimental IDE plugins


If you are:


Passionate about the future of AI and agentic systems as an AI Lead.

Have several years of software development experience and recent experience as someone who is an AI Engineer

Have a deep curiosity and a bias for action, you love building, and turning ideas into things.

Clear communication and a team spirit

A sharp eye on the cutting edge of AI


Then please apply for more information!

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.

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.