Research computer scientists Work, Jobs in Hampstead, Gtl (with Salaries)

Research Assistant
Imperial College London —South Kensington
- £45,399 - £48,876 a year
- Full-time
- Computer Science
- Research
- Master's degree
1d
Technical Interns and New Grads
General Intuition & Medal —London
- £4,000 - £10,000 a month
- Full-time
AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Research Assistant / Research Fellow
Brunel University —London
- £37,118 - £48,557 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Master's degree
- Annual leave
2d
AI Research Engineer (Multi-Modal & Vision) - 100% Remote Worldwide
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Research Intern – AI and 6G Systems
GSMA —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
6d
Applied Research - Artificial Intelligence - London - Associate
Goldman Sachs —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Employee assistance programme
Research Engineer, Pretraining
Anthropic —London
- £260,000 - £630,000 a year
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Flexible schedule
AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
AI Research Engineer
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Machine learning
16h
AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Research Assistant/ Research Fellow
Brunel University —London
- £37,118 - £48,557 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- University
- Annual leave
Research Scientist/Engineer (Agentic Systems)
White Circle —London
- £150,000 - £250,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- English
- Relocation assistance
- Annual leave
Member of Technical Staff
General Intuition & Medal —London
- £200,000 - £450,000 a year
- Full-time
Research Associate in General Framework for Nonequilibrium Processes: From Theory to Applications
Imperial College London —South Kensington
- £45,399 - £59,484 a year
- Full-time
- Doctoral degree
- Engineering
- Research
7d
General Interest in working for Quantinuum - London-Cambridge-Oxford
Quantinuum —London
- Full-time
PhD Research Scientist Intern - Foundational Research
Thomson Reuters —London
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Master's degree
Research Engineer, RL Scaling Science
Anthropic —London
- £375,000 - £640,000 a year
- Hybrid work
- Bachelor's degree
- AI
- Communication skills
- Flexible schedule
Member of Technical Staff- Research Engineer (Harness Engineering and Agentic Orchestration)
Tessl —London
- Full-time
- Hybrid work
- Bar
- Doctoral degree
- Master's degree
Research Scientist - 3D Diffusion
SpAItial —London
- Full-time
- Doctoral degree
- Computer Science
- Machine learning

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research computer scientists jobs near hampstead, gtl

Research Assistant

Imperial College London -
South Kensington

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Job details

Full-time
£45,399 - £48,876 a year
1 day ago

Qualifications

Law
Computer Science
PyTorch
NumPy
Research
Master's degree
Pandas
SciPy
AI

Full job description

Job number

ENG04007

Faculties

Faculty of Engineering

Departments

Department of Computing

Salary or Salary range

£45,399 - £48,876 per annum

Location/campus

South Kensington Campus - On site only

Contract type work pattern

Full time - Fixed term

Posting End Date

19 Aug 2026

About the role

We are seeking to hire a Research Assistant (Pre-Doc) to join the research group of Dr Giuliano Casale in the Department of Computing and the f-inference project. f-inference aims to shift from a centralised, cloud-based deployment of Foundation Models (FMs) towards a Resource-driven Computing Continuum (RCC): a layered architecture that seamlessly spans Cloud, Edge and IoT tiers, deploying intelligence as close as possible to data sources and end users for a distributed, adaptive, sovereign, robust and energy-efficient paradigm of AI deployment.

Imperial College is consistently in the top 10 world university rankings with the Department of Computing ranked top of the 2021 UK REF assessment.

What you would be doing

This position will carry out research into the performance, cost and reliability modelling of distributed Foundation Model inference across the cloud continuum, spanning two main tasks. Firstly, the post-holder will develop simulation-based and analytical methods to evaluate adaptive caching policies for distributed FM architectures based on KV stores, quantifying the cost and latency of the caching infrastructure and its sensitivity to replacement, replication and time-to-live (TTL) configurations, and studying backpressure and other control mechanisms to mitigate hotspots. Secondly, the post-holder will also contribute ICL’s cost and reliability modelling for distributed, layered systems, employing stochastic and multi-layer network models to characterise disruptions of expected latency and throughput, and recovery under failures, attacks or other reliability-related events. The research will involve building and validating such models in simulation and experiments, but this is driven from the fundamental theoretical knowledge that underpins them, therefore contributions to knowledge come primarily from the modelling and AI-systems elements of the project.

This position presents a novel opportunity to work alongside Dr Giuliano Casale and the f-inference consortium in realising their full potential and planning for the future. f-inference is a close collaboration of academics and researchers from across Europe as well as partners from industry.

What we are looking for

A first / Masters degree (or equivalent) in Computer Science or a closely related discipline.

Proven research in performance, cost and reliability modelling of distributed and cloud/edge systems, or in AI / Foundation Model inference serving, with
- Demonstrations of the ability to build proofs-of-concept of such systems
- Practical Understanding of methods and techniques relevant to the role including: Performance & reliability modelling , LLM inference serving and cost optimisation, Resource scheduling, Libraries & Frameworks: Python, PyTorch, NumPy, SciPy, Pandas, discrete-event simulation, Anaconda, Jupyter, Systems evaluation: statistical analysis and performance metrics (e.g., latency, throughput, energy, accuracy).
Strong software engineering skills to build simulation tools and prototypes will be an advantage.

What we can offer you

You will have the opportunity to continue your career at a world-leading institution. Imperial College is currently ranked #2 in the QS world university rankings with the Department of Computing ranked top of the 2021 UK REF assessment.

You will receive a sector-leading salary and remuneration package (including 39 days off a year) and a comprehensive early career development support package including 10 training and development days.

Further information

Please see job description for full list of requirements.

Full-time, Fixed term to start October 2026 for 3 years with potential extension.

In addition to completing the online application candidates should attach:

A full CV, highlighting publications or preprints relevant to the position

A 1-page research statement on how your experience meets the above requirements.

If you require any further details on the role, please contact Dr Giuliano Casale: [email protected]

For queries regarding the application process contact Jamie Perrins: [email protected]

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at [email protected]. We're here to help.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages.

Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.

Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.

Apply Now

Refine Your Search

research computer scientists jobs in hampstead, gtl

Research Assistant

Technical Interns and New Grads

AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide

Research Assistant / Research Fellow

AI Research Engineer (Multi-Modal & Vision) - 100% Remote Worldwide

Research Intern – AI and 6G Systems

Applied Research - Artificial Intelligence - London - Associate

Research Engineer, Pretraining

AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide

AI Research Engineer

AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide

Research Assistant/ Research Fellow

Research Scientist/Engineer (Agentic Systems)

Member of Technical Staff

Research Associate in General Framework for Nonequilibrium Processes: From Theory to Applications

General Interest in working for Quantinuum - London-Cambridge-Oxford

PhD Research Scientist Intern - Foundational Research

Research Engineer, RL Scaling Science

Member of Technical Staff- Research Engineer (Harness Engineering and Agentic Orchestration)

Research Scientist - 3D Diffusion

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