Contract Mid-weight/Senior Creative Technologist - AI Project

Hanger Hill
9 months ago
Applications closed

Related Jobs

View all jobs

Data Science and Innovation Manager

Junior Data Scientist / Data Analyst

Data Science Lead / Manager

Artificial intelligence (AI) contract roles

MLOps Engineer

Data Scientist

Contract Mid-weight/Senior Creative Technologist - AI Project

Duration: Late March – May (6 weeks)
Location: Hybrid (London-based or commutable preferred)
Commitment: Full-time

A fantastic opportunity has opened for a Mid-weight or Senior Creative Technologist to contribute to the development of an AI-enabled prototype. This short-term contract offers the chance to work at the intersection of AI technologies and creative innovation, shaping the early stages of an ambitious project.

We’re looking for someone with hands-on experience in AI technologies, including Natural Language Processing (NLP), Large Language Models (LLM), and Generative AI. The ideal candidate will be adaptable, able to work in a fast-paced environment, and comfortable embracing change.

Key Responsibilities:

  • Lead the technical development of an AI-powered prototype, collaborating with cross-functional teams to deliver project milestones.

  • Apply expertise in NLP, LLM, and Generative AI to design and implement creative solutions.

  • Operate within an Agile framework, ensuring smooth sprint cycles and adaptive workflows.

  • Use production management tools such as Jira to track progress, prioritise tasks, and communicate effectively with stakeholders.

  • Rapidly prototype and iterate based on feedback, demonstrating a can-do attitude and willingness to pivot as project needs evolve.

    Key Requirements:

  • Proven experience working with AI technologies, specifically NLP, LLM, and Generative AI.

  • Comfortable working in a fast-paced, Agile environment, with the ability to adjust quickly to shifting priorities.

  • Strong problem-solving skills and a proactive mindset, capable of delivering technical solutions with minimal oversight.

  • Experience using Jira or similar production management platforms.

  • London-based or commutable, with flexibility to work in a hybrid setting if required.

    What’s on Offer:

  • The chance to work on an AI-driven prototype that pushes creative and technical boundaries.

  • A collaborative environment where technical expertise and creative thinking combine to deliver innovative solutions.

  • An opportunity to contribute meaningfully to a project with future potential in AI and immersive tech spaces.

    If you’re a Creative Technologist with a passion for AI and a track record of delivering innovative solutions, we’d love to hear from you.

    Apply now to join a project where technology and creativity meet

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.

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.

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.