National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Performance Engineer- World-Leading Prop Trading Fund | London, UK

Oxford Knight
London
2 days ago
Create job alert

Machine Learning Performance Engineer - World-Leading Prop Trading Fund

Summary:
An exciting opportunity to work at a tech-centric proprietary trading fund that trades a wide range of financial products, with offices across the globe. We are seeking an experienced engineer with expertise in low-level systems programming and optimization to join our growing ML team.

Machine learning is central to our operations. Your focus will be to optimize the performance of our models, including training and inference. This involves efficient large-scale training, low-latency real-time inference, and high-throughput research inference. The role requires a holistic approach, including improvements in CUDA, storage systems, networking, and host- and GPU-level considerations.

The ideal candidate is a smart, curious software engineer who enjoys solving complex problems and has a strong desire to learn new skills.

Requirements:

  1. Understanding of modern ML techniques and tools, with a focus on performance.
  2. Systems knowledge and experience to debug end-to-end training performance issues.
  3. Low-level GPU knowledge, including CUDA or similar GPU programming (PTX, SASS, warps, cooperative groups, Tensor Cores, memory hierarchy).
  4. Experience with debugging and optimization tools such as CUDA GDB, NSight Systems, NSight Compute.
  5. Familiarity with libraries like Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS.

Benefits:

  • Market-leading salaries
  • Generous benefits including health, mental health, holiday entitlement, parental leave, retirement plans, private gym
  • Focus on learning and development, including tuition reimbursement
  • Recreation spaces with meals and snacks

We review all applications carefully. Due to high volume, we may not be able to respond to unsuccessful applicants.

Contact:

If you are a good fit, please reach out:

Dan Hampton

Email:

Phone:

LinkedIn: linkedin.com/in/dan-hampton-ab029392


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Performance Engineer

Machine Learning Performance Engineer- World-Leading Prop Trading Fund | London, UK

Applied Data Scientist

Machine Learning Engineer

Principal Data Engineer

Junior/Mid/Senior Data Scientist - Hybrid, London

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.