Member of technical staff software engineer Work, Jobs in London, Eng (with Salaries)

Member of Technical Staff - Research Software Engineer
Reflection —London
- Full-time
- Doctoral degree
- Machine learning
- Annual leave
Member of Technical Staff - Software Engineer
Tessl —London
- Full-time
- Hybrid work
- C++
- JavaScript
- APIs
Member of Technical Staff- Research Engineer (Harness Engineering and Agentic Orchestration)
Tessl —London
- Full-time
- Hybrid work
- Bar
- Doctoral degree
- Master's degree
Member of Technical Staff
OpenClaw Foundation —London
- £200,000 - £300,090 a year
- Full-time
- Machine learning
- Software development
- APIs
Quick apply
1d
Member of Product Staff, Engineer (London)
Metaview —London
- Full-time
- Hybrid work
13d
Staff Software Engineer
CoMind —London
- £106,000 - £159,000 a year
- Full-time
- C++
- Software development
- IT
- Employee discount
Software Engineer (Timetabling)
Imperial College London —White City
- £57,785 - £69,365 a year
- Full-time
- Hybrid work
- SQL
- University
- Continuous improvement
- Annual leave
Staff Software Engineer
Lunar —London
- Full-time
- JavaScript
- In-person
- Communication skills
Staff Software Engineer - Payments Enterprise Technology
Barclays —London
- Hybrid work
- Negotiation
Staff Software Test Engineer
CoMind —London
- £93,681 - £157,778 a year
- Full-time
- AWS
- C++
- IT
- Employee discount
Staff software engineer, AI product
Watershed Technology —London
- Full-time
- Hybrid work
- Machine learning
- In-person
- AI
Staff AI Engineer
Bluefish AI —London
- Remote
- System design
- Master's degree
- Analysis skills
7d
Member of Technical Staff, Physical AI
Substrate Bio —London
- Full-time
- Annual leave
Quick apply
9d
Staff Software Engineer - Backend
Metrea Management LLC —London
- Full-time
- Engineering
- Bachelor's degree
- Travel
- Annual leave
Member of Technical Staff - Distributed Systems Engineer
Reflection —London
- Full-time
- C++
- APIs
- Annual leave
Staff Platform Engineer
RVU —London
- Full-time
- Hybrid work
- AWS
- Mentoring
- Computer networking
- Work from home
- Employee assistance programme
Quick apply
Support Engineer - London
RM Education Limited —London
- Hybrid work
- Maintenance
- IT
- School
- Annual leave
Infrastructure Engineers
CGI —London
- Full-time
- Azure
- AWS
- Agile
Quick apply
Staff Software Engineer
money.co.uk —London
- Full-time
- Hybrid work
- SQL
- AWS
- APIs
- Work from home
- Employee assistance programme
Quick apply
Staff AI Engineer
Linktree —London
- Full-time
- Remote
- AWS
- APIs
- AI
- Annual leave

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member of technical staff software engineer jobs near london, eng

Member of Technical Staff - Research Software Engineer

Reflection -
London

Apply Now

Job details

Full-time

Benefits

Unlimited paid holidays
Annual leave

Qualifications

Doctoral degree
Kubernetes
PyTorch
Machine learning

Full job description

Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

The Roles Mission

Bridge the gap between research and production by turning cutting-edge algorithms into scalable training systems. You will design and optimize the core infrastructure behind frontier AI models — from reinforcement learning training loops and distributed GPU training to massive-scale data pipelines.

Our systems train models across thousands of GPUs and process petabyte-scale datasets. We care deeply about numerical stability, throughput, and reproducibility.

What This Team Does

This team owns and evolves the core infrastructure behind our training systems.

We focus on:

Reinforcement learning training infrastructure
Distributed training and inference systems
Experiment infrastructure and reproducibility
Large-scale data pipelines

The goal is to build the engineering foundation that allows researchers to iterate quickly while training models at massive scale.

About the Role

You will architect and optimize the core training infrastructure that powers our models. This includes RL training loops, distributed GPU systems, and large-scale data pipelines.

You will work closely with researchers to transform new ideas into reliable, scalable training systems.

Responsibilities include:

Designing and optimizing large-scale training loops and data pipelines.
Implementing state-of-the-art techniques and ensuring they are numerically stable and computationally efficient.
Building internal tooling for launching, monitoring, and reproducing complex experiments.
Diagnosing deep bottlenecks across the training stack (GPU memory issues, communication overhead, dataloader stalls).
Translating research prototypes into reusable, production-grade infrastructure.

What You'll Work With

Distributed Training

GPU parallelism (data, tensor, pipeline, expert)
Large-scale distributed training infrastructure
Communication optimization (NCCL, RDMA, GPU interconnects)
FSDP / ZeRO and model sharding

Orchestration & Runtime Systems

Ray, Kubernetes, Slurm
Distributed runtimes and async systems
Containerization and sandboxing

Frameworks

PyTorch
JAX
Megatron-style training stacks
Triton / custom kernels

Data Infrastructure

Large-scale dataset curation pipelines
Deduplication and filtering systems
Tokenization and preprocessing
Distributed data processing frameworks

About You

You are a strong software engineer who speaks the language of machine learning.
You may not have a PhD, but you know how to implement a research paper.
You have deep experience in at least one of the following: Distributed Training & Inference or Data Infrastructure
You enjoy working at the boundary between:
- Machine learning algorithms
- Distributed systems
- High-performance computing
You care deeply about performance, numerical stability, and reproducibility.
You thrive in high-agency environments and enjoy solving hard technical problems.

What We Offer:

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.

Apply Now

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member of technical staff software engineer jobs in london, eng

Member of Technical Staff - Research Software Engineer