Applied Scientist

Reading, Berkshire
TEKsystems

Join a global community of researchers and innovators where you’ll explore your passions and contribute to the next generation of AI-driven productivity solutions. You’ll be part of a world-class team developing cutting-edge natural language understanding, intelligent search, and recommendation technologies that shape how millions of people access and interact with information.

As an Applied Science PhD Intern, you will work on cutting-edge challenges in large language models (LLMs), graph-based retrieval, personalization, and scalable machine learning systems. You’ll collaborate closely with experienced scientists and engineers to bring innovative research ideas to life through real-world prototypes and high-impact AI technologies.

This is an exceptional opportunity to grow, explore your research interests, and contribute to meaningful, production-focused AI innovation.

What you’ll work on

• Develop or apply advanced techniques across:
  • Graph-based information retrieval
  • Contextualization and personalization models
  • LLM prompt engineering and post-training
  • Synthetic data generation
  • Evaluation methods for LLM-based systems
• Design and build scalable end-to-end prototypes that can be deployed in real product environments.
• Conduct deep analysis of your research area, staying informed about trends and sharing insights across the team.
• Document and validate methodologies with potential for publication in leading AI research venues.
• Support the creation and optimization of datasets for machine learning modelling and experimentation.

What We’re Looking For

Required Qualifications:

• Completed or currently pursuing a PhD/Doctorate in Computer Science, AI, Machine Learning, Engineering, or a closely related field.
• Strong problem-solving abilities with hands-on experience in:
  • Predictive modelling
  • Data mining
  • Statistical analysis
  • Machine learning algorithms at scale
• Excellent communication skills, with the ability to explain complex concepts clearly.

Preferred Qualifications:

• Publication record in top-tier AI/ML/NLP conferences or journals.

experience working with:

• Large Language Models
• Transformer architectures
• Evaluation and optimisation of LLM-based systems

Key Skills

• Large Language Models (LLMs)
• Synthetic data generation
• LLM evaluation & benchmarking
• Dataset preparation and scaling
• Machine Learning research & applied modelling

Why Join

• Work at the forefront of AI innovation with a talented, supportive research community.
• Contribute directly to real-world AI systems that enhance productivity for millions of users.
• Enjoy an environment that values curiosity, growth, inclusion, and collaboration.
• Develop your expertise through impactful projects while shaping the future of intelligent search and language technologies.
• Hybrid working model with 50% in-office collaboration.

Job Title: Applied Scientist

Location: Reading, UK

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as “Allegis Group”). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website.

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