HPC Software Engineer

IC Resources

London

1 year ago

Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer (Large Systems) Cambridge, UK

Senior Machine Learning Engineer (Large Systems) New Bristol, UK; Cambridge, UK; London, UK

Nuclear Data Analyst - HPC & Analytics

Data Analyst (Nuclear)

Data Analyst

Data Scientist

HPC Software Engineer

London

I'm currently partnered with a leading algorithmic trading firm, with sites around the globe. They are currently looking to bring on a HPC Software Engineer to be involved in contributing to their HPC Infrastructure, working on their private compute clusters. The software that you write will run on a compute cluster containing CPUs and GPUs and the work that you do will have a direct and pivotal impact on the quant research function of their business. You will also be part of a team that are working on the company's host monitoring infrastructure, implementing an internally-written filesystem and implementing a new high performance visualisation system.

They are looking for someone with significant experience within a similar setting, ideally financial services. Someone who thrives in a fast paced environment and looking to take their career to the next level. They offer some great benefits including: Excellent medical benefits, free onsite gym, sauna and gym classes, breakfast and lunch provided daily and generous pension contributions.

What's required for this HPC Software Engineer position?

Strong software development skills in Python and another statically typed language
Experience working with computer networks - Design, configuration, monitoring, automation, understanding of underlying hardware, IP/Ethernet and InfiniBand.
Strong knowledge of large-scale infrastructure management. Using code as tol to facilitate HW performance evaluation, automated builds, patching, application deployment etc
Experience and desire to solve complex problems.
Understanding of ML frameworks and compute offload devices like GPUs
Working knowledge of large-scale distributed systems

If you have a strong background in financial services and are looking for an opportunity to challenge yourself technically, with a company leading the algorithmic trading space, please apply to learn more.

If you are interested in this position, or other opportunities in the finance space, please contact Jack Bird at IC Resources.

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

Industry Insights

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

Jan 18, 2026

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Jan 6, 2026

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.