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

Apply Now

Machine Learning Research Scientist - PhD, NLP, LLM

Cambridge
5 months ago
Applications closed

Related Jobs

View all jobs

Research Scientist (Machine Learning)

Research Scientist (Machine Learning)

Research Scientist (Machine Learning), London

Applied Scientist II - Computer Vision

Research Scientist -Machine Learning

Data Science and Machine Learning Scientist

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.

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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.