Research computer scientists Work, Jobs in Ascot, Brk (with Salaries)

AI Research Intern - Agentic AI
Samsung Electronics —Staines-upon-Thames
- Hybrid work
- Computer Science
- Engineering
- System design
Research Scientist – World Models, Robotics & Embodied AI
Meta —London
- AI
- Internship
- Python
Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
Meta —London
- Doctoral degree
- Computer Science
- Data analysis skills
AI Security Researcher
Roke Manor Research Limited —Woking
- Machine learning
- Software development
- AI
4d
AI Security Researcher
Roke —Woking
- Full-time
- Machine learning
- Software development
- AI
3d
Postdoctoral Research Associate in Robotics & AI (1FTE, FTC)
Royal College of Art —London
- £44,693 - £48,269 a year
- Full-time
- Doctoral degree
- Master's degree
- C++
Research Assistant/Fellow in Computational Statistics and Machine Learning
University College London —London
- £39,148 - £52,586 a year
- Full-time
- Master's degree
- Maths
- University
- Annual leave
- Employee assistance programme
2d
Research Assistant or Associate in Computational Mechanics for Hydrogen Turbine Technologies
Imperial College London —South Kensington
- £43,863 - £57,472 a year
- Full-time
- Doctoral degree
Research Associate in Machine Learning Aided Data Compression and Communication
Imperial College London —South Kensington
- £49,017 - £57,582 a year
- Full-time
- Doctoral degree
- Engineering
- Master's degree
Research Associate
Imperial College London —White City
- £49,017 - £57,582 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
4d
Eric and Wendy Schmidt AI in Science Fellows, a program of Schmidt Sciences (Research Fellow)
Imperial College London —White City
- £62,433 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Eric and Wendy Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate)
Imperial College London —White City
- £55,144 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate)
Imperial College London —White City
- £55,144 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Research Software Engineer, Generative AI
Google —London
- Doctoral degree
- Computer Science
- C++
Marie Skłodowska-Curie Doctoral Network Researcher / Physics based anomaly detection, and diagnostics and AI safety in energy storage systems
Imperial College London —South Kensington
- £44,284 - £48,797 a year
- Full-time
- Doctoral degree
- English
- Master's degree
Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC
NVIDIA —Reading
- Full-time
- Doctoral degree
- Computer Science
- Engineering
CHAI Research Fellow
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- Computer Science
- University
- Annual leave
- Employee assistance programme
Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Fellow)
Imperial College London —White City
- £62,433 a year
- Full-time
- Doctoral degree
- Machine learning
- IT
Postdoctoral Researcher, AI Verification, Separation Logic in Lean
Meta —London
- Doctoral degree
- Computer Science
- AI
8d
Marie Skłodowska-Curie Doctoral Network Researcher / Research Assistant in Cyber-Physical Security of Energy Storage Systems
Imperial College London —South Kensington
- £44,284 - £48,797 a year
- Full-time
- Doctoral degree
- English
- Master's degree

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research computer scientists jobs near ascot, brk

AI Research Intern - Agentic AI

Samsung Electronics -
Staines-upon-Thames

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Job details

Internship

Qualifications

Computer Science
PyTorch
Engineering
System design
Mathematics
Master's degree
Machine learning
Deep learning
Natural language processing
AI
Python

Full job description

Position Summary

Samsung Research UK (SRUK) is seeking exceptional and highly motivated Interns to join our growing AI team in Staines-upon-Thames. We are at the forefront of developing innovative technologies for future Samsung devices and services, and this role offers a unique opportunity to shape the next generation of mobile experiences. You will be instrumental in translating cutting-edge research into real-world impact, working on challenges that demand both creative problem-solving and robust engineering practices.

This is a chance to join a dynamic team that is pushing the boundaries of what’s possible with on-device AI, bringing advanced Agentic Agents and LLMs onto mobile and server platforms. You will see your work shipped in production and running in the hands of real users. We welcome applications from individuals with strong experience in building and deploying complex machine learning systems, and offer the opportunity to deepen your expertise in a technically challenging and rewarding environment.

Role and Responsibilities

As Intern, you will:

Design and develop agentic systems that exhibit autonomous decision-making, goal-setting and task completion.
Design and optimize agentic memory and memory agent frameworks, and multi-agent-interactions.
Finetune and deploy various LLMs and adaptors for on-device and on-server applications using various optimization techniques including reinforcement learning and supervised finetuning.
Contribute code libraries by adding new features and improving its capabilities.
Lead the development of software prototypes and experimental systems, ensuring high code quality and maintainability.
Collaborate with a multidisciplinary team of researchers and engineers to integrate research findings into Samsung products and services.

Skills and Qualifications

Required Skills

Currently studying for a PhD in Computer Science, Engineering, Mathematics or a related discipline (or just completing). Masters graduate with relevant knowledge and experience also considered.
Publication in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR.
Deep technical expertise on LLMs: Expertise in fine-tuning, prompt engineering and deploying HuggingFace models and vLLMs.
Proven track record in single and multi-agent system design.
Proficiency in reinforcement learning (RL) and supervised finetuning (SFT) to train and finetune Agentic AI modules.
Proficiency in designing memory systems (episodic, semantic and procedural memory, and other tools like vector and chrome databases).
Expert proficiency in Python programming language.
Proficiency in Pytorch, with experience in NLP tasks.

Desirable Skills

Previous hands-on experience with deep learning model optimization: quantization, pruning, distillation, or operator-level optimizations.
Experience with deploying AI models on-device (mobile, embedded, edge accelerators, etc.).

Contact Type: 5 month internship to start as soon as possible

Location: Samsung R&D Institute, Staines-upon-Thames, Surrey, UK

Hybrid Working: 3 days onsite (minimum) and 2 days working from home weekly

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.

Apply Now

Refine Your Search

research computer scientists jobs in ascot, brk

AI Research Intern - Agentic AI

Research Scientist – World Models, Robotics & Embodied AI

Research Scientist Intern, AI/ML, Core Ads Growth (PhD)

AI Security Researcher

AI Security Researcher

Postdoctoral Research Associate in Robotics & AI (1FTE, FTC)

Research Assistant/Fellow in Computational Statistics and Machine Learning

Research Assistant or Associate in Computational Mechanics for Hydrogen Turbine Technologies

Research Associate in Machine Learning Aided Data Compression and Communication

Research Associate

Eric and Wendy Schmidt AI in Science Fellows, a program of Schmidt Sciences (Research Fellow)

Eric and Wendy Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate)

Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate)

Research Software Engineer, Generative AI

Marie Skłodowska-Curie Doctoral Network Researcher / Physics based anomaly detection, and diagnostics and AI safety in energy storage systems

Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC

CHAI Research Fellow

Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Fellow)

Postdoctoral Researcher, AI Verification, Separation Logic in Lean

Marie Skłodowska-Curie Doctoral Network Researcher / Research Assistant in Cyber-Physical Security of Energy Storage Systems

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