AI Research Scientist

Telford
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Data Scientist - National Security (TIRE) based in Cheltenham/Hybrid

Senior Data Scientist

Senior Data Scientist

Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Embark on an exhilarating journey with a leading confectionery manufacturer renowned for crafting over 25,000 tonnes of premium chocolate annually. This esteemed company is on a quest for an AI Research Scientist to spearhead innovative AI projects, setting new industry standards. This role offers a unique opportunity to blend the art of confectionery with the science of artificial intelligence, providing a competitive edge in the market. With a commitment to innovation and quality, this position promises a stimulating work environment where creativity meets technology.

What You Will Do:

  • Research and develop new AI applications in areas like product development, quality control, and supply chain optimization.

  • Strategize and propose AI solutions that align with the company's business goals, enhancing efficiency and innovation.

  • Collaborate with production, R&D, and administration teams to integrate AI technologies into operational workflows.

  • Lead AI project teams from inception to implementation, managing milestones and resources effectively.

  • Stay abreast of the latest AI trends in food tech, introducing cutting-edge solutions to redefine industry standards.

  • Facilitate education and training sessions to upskill the workforce in AI technologies.

    What You Will Bring:

  • A Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Demonstrable experience in developing and deploying AI solutions, preferably within manufacturing or a similar sector.

  • Proficiency in programming languages such as Python, R, or Java, and familiarity with AI frameworks like TensorFlow and PyTorch.

  • Exceptional problem-solving and analytical skills, with a knack for conveying complex ideas to non-technical stakeholders.

  • A proactive, innovative mindset with experience in the food industry or manufacturing being advantageous.

    This AI Research Scientist role is pivotal in driving the company's ambition to stay at the forefront of the confectionery industry, leveraging AI to enhance product quality and operational efficiency. The successful candidate will play a key role in shaping the future of chocolate manufacturing, making a significant impact on the company's growth and innovation trajectory.

    Location:

    The role is based in Telford, offering a collaborative and supportive work environment amidst a team of proficient and exceptional professionals.

    Interested?:

    If you are ready to take on this challenging yet rewarding role as an AI Research Scientist, and make a significant impact in the confectionery industry through innovative AI solutions, we would love to hear from you. Apply now to become part of a dynamic team driving the future of chocolate manufacturing!

    Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.

    In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included

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.