6 дней назад
Research Specialist - AI Systems
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Specialist - AI Systems (AI/distributed infrastructure): Researching, designing, implementing, and evaluating scalable distributed AI systems and experimental infrastructure with an accent on machine learning, LLM inference, Kubernetes, GPUs, networking, and performance analysis. Focus on benchmarking latency, throughput, scalability, and resource utilisation, building prototypes, and translating research ideas into deployable systems.
Location: Hybrid, with three office days per week in Bristol, Ipswich, or London, UK, and two flexible remote days.
Company
is a UK communications group operating telecommunications, connectivity, infrastructure, and technology businesses including BT, EE, Openreach, and Plusnet.
What you will do
- Research and develop techniques for scalable and distributed AI systems.
- Design, build, and evaluate prototypes and experimental AI infrastructure.
- Work across machine learning models, inference, Kubernetes, GPUs, networks, and distributed systems.
- Benchmark and analyse latency, throughput, scalability, and resource utilisation.
- Investigate emerging AI and infrastructure technologies and collaborate with researchers, engineers, technology companies, and research organisations.
- Communicate results through technical reports, demonstrations, publications, and industry events.
Requirements
- Practical experience with machine learning or LLM systems.
- Strong Python development skills and confidence working in Linux environments.
- Working knowledge of Kubernetes, containers, and cloud-native infrastructure.
- Understanding of distributed systems fundamentals, including scalability, latency, and throughput.
- Experience designing experiments, benchmarking systems, and analysing performance.
- Ability to work from the Bristol, Ipswich, or London offices three days per week.
Nice to have
- Master's degree, PhD, or equivalent industry experience in Computer Science, Engineering, or a related field.
- Experience with LLM serving frameworks such as vLLM, TGI, Triton, or Ray Serve.
- Knowledge of GPU scheduling, partitioning, resource sharing, distributed AI inference, model parallelism, or large-scale AI infrastructure.
- Familiarity with networking, agentic AI systems, and multi-agent architectures.
- Publications, conference presentations, or open-source contributions.
Culture & Benefits
- Work within BT Research and an established telecoms research organisation focused on sovereign AI and real-world deployment.
- 10% on-target annual bonus.
- Private GP access, paid carers leave, and enhanced maternity, paternity, and adoption leave.
- Pension scheme with 5% employee and 10% employer contributions.
- Holiday purchase scheme, discounted BT and EE products, and optional healthcare, dental, and gym benefits.
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