Graduate embedded systems engineer Work, Jobs in London (with Salaries)

AI Research Intern - Agentic AI
Samsung Electronics —Staines-upon-Thames
- Hybrid work
- Computer Science
- Engineering
- System design
AI Research Intern - Knowledge Graphs
Samsung Electronics —Staines-upon-Thames
- Hybrid work
- Computer Science
- Engineering
- Java
IoT Developer – Biomedical Radar Team
Imperial College London —South Kensington
- £57,785 - £69,365 a year
- Full-time
- AWS
- C++
- Software development
14d
Ubuntu Core Software Engineer
Canonical —London
- Remote
- Computer Science
- Bachelor's degree
- Linux
- Work from home
Quick apply
Field Application Engineer Motorsport - Software
Motion Applied —Woking
- Hybrid work
- Microsoft Excel
- SQL
- Bachelor's degree
- Annual leave
Quick apply
Senior Software Engineer, Full-stack
Pairwise —London
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
- Life insurance
Product Manager, GelatoConnect
Gelato —London
- Full-time
- Hybrid work
- English
- SQL
- Product management
Quick apply

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AI Research Intern - Agentic AI

Samsung Electronics -
Staines-upon-Thames

Apply Now

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

graduate embedded systems engineer jobs in london

AI Research Intern - Agentic AI

AI Research Intern - Knowledge Graphs

IoT Developer – Biomedical Radar Team

Ubuntu Core Software Engineer

Field Application Engineer Motorsport - Software

Senior Software Engineer, Full-stack

Product Manager, GelatoConnect

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