Machine Learning Algorithm Developer

IC Resources
Bristol
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist, Sports

Senior Data Scientist, Sports

Senior Data Scientist

Principal Data Scientist

Machine Learning Engineer - Satellite

Machine Learning Engineer Space & Satellite

Machine Learning Algorithm Developer

Bristol, UK (predominantly on-site, 4 days, due to nature of work)

Please note due to the nature of work and security clearance requirement, you must be a British or dual-British citizen to be considered.

IC Resources is seeking a Machine Learning Algorithm Developer to join our client's team in Bristol. The successful candidate will contribute to the development and evaluation of sophisticated algorithms, covering areas from autonomous decision-making to command-and-control systems.

Primary Responsibilities:

  • Develop algorithms for intelligent systems, autonomous decision-making, and control systems.
  • Perform feasibility studies, trade-off analyses, and algorithm design.
  • Support trials, including preparation, analysis, and reporting of results.
  • Conduct technical assessments and resolve complex algorithm-related challenges.
  • Collaborate with various stakeholders to ensure the algorithms meet system requirements.

Essential Experience:

  • Bachelors, Masters or PhD in a relevant discipline with several years of experience since.
  • Experience in algorithm development in the domains of machine learning, deep learning, robotics, computer vision, and/or data fusion.
  • Hands-on experience with Matlab, Python, PyTorch.
  • Familiarity with algorithm verification and real-time implementation.

What’s On Offer:

£55,000 DOE + paid overtime.

Bonus scheme. Share incentives. Relocation package if applicable. Enhanced parental leave. Excellent pension scheme. Discounted gym membership. And much more!

Interested?Apply now for immediate consideration.

 

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.

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.

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.

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.

🍪 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.