Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Research Scientist

Telford
9 months ago
Applications closed

Related Jobs

View all jobs

Senior AI Research Scientist – Natural Language Processing

Principal AI Research Scientist – Natural Language Processing

Research Scientist (Quantum Chemistry and Machine Learning), London London

Principal Data Scientist, AI Security Research

Principal Data Scientist, AI Security Research

Senior Research Scientist: Data Science and Machine Learning AIP

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.