Machine Learning Research Scientist - PhD, NLP, LLM

Cambridge
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Research Scientist, Machine Learning

Job Title: Machine Learning Research Scientist
Location: Cambridge / Hybrid
Salary: £depending on experience + benefits

Company Overview: Our client is a pioneering machine learning and artificial intelligence software house, renowned for developing some of the most advanced technologies in the AI domain. The team is composed of mathematicians, engineers, and is led by experienced entrepreneurs known for creating award-winning tech companies.

Job Description: We are seeking a highly skilled Machine Learning Research Scientist to join our innovative team. The ideal candidate will have a PhD in a mathematical, scientific, engineering, or computing subject from a leading UK university or a highly ranked international university, with an outstanding academic background and the highest pass marks.

Key Responsibilities:

  • Conduct cutting-edge research in the fields of Computer Vision, Deep Learning, Machine Learning, Artificial Intelligence, or Natural Language Processing.
  • Develop and implement advanced machine learning models and algorithms.
  • Work with large data sets, including LLMs (Large Language Models) and GANs (Generative Adversarial Networks).
  • Collaborate with a team of mathematicians, engineers, and other researchers to solve complex problems.

    Essential Qualifications:

  • PhD in a relevant field (mathematics, science, engineering, computing) from a top-tier university.
  • Proven track record of published work in areas such as Computer Vision, Deep Learning, Machine Learning, AI, or NLP.
  • Strong mathematical and analytical skills, including knowledge of statistics and probability.
  • Experience with neural network architecture and deep learning techniques.
  • Proficiency in programming languages such as Python and Java.
  • Familiarity with big data and distributed computing.
  • Ability to explore complex mathematical subjects at a deep level.
  • Keen eye for detail and natural problem-solving abilities.

    Additional Information:

  • This position is not fully remote and requires the candidate to live close to the Cambridge area.
  • Adecco is operating as an Employment Agency for this position and is an equal opportunities employer.
  • Your CV will be treated with the strictest confidence, and we will always speak to you before discussing your CV with any potential employer.

    Keywords: PhD, AI, Cambridge, Adecco, LLM, NLP, ML

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.

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.

Jobs Careers

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.

🍪 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.