Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Software Engineer

Marylebone High Street
5 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Graph Data Science

Software Engineer - (Machine Learning Experience a plus) - hybrid

Software Engineer, Machine Learning

Software Engineer (Leadership) - Machine Learning

Software Engineer, Artificial Intelligence

Software Engineer, Artificial Intelligence

Software Engineer | AI / HPC | London | Hybrid | up to £120K | Lucrative stock options
 
Are you a Software Engineer with AI and HPC experience? Do you have a background in Computer Networks & Systems? Do you have experience developing Linux PCIe Drivers? Are you looking to work on cutting edge products in AI and Machine Learning?
 
Then this is the role for you!
 
We are working with a disruptive London-based Computer Networking company who are working on the cutting edge of AI and Machine learning technology with applications for increased productivity in Data Centre’s and HPCs.
 
This role will specialise in developing Linux Drivers for AI/ML within High Performance Computing (HPC) and Data Centres.
 
Responsibilities

Collaborating with a wide team of engineers to define software architecture.
Working on the preparation and organisation of documentation, and support stakeholders' meetings.
Work on the development of Linux PCIe Drivers for AI/ML and HPC networks.
Integration of frameworks on CPU and GPU.
Work on embedded software systems for network interfaces. 
Skills and experience:

High Speed Driver experience, 100g or above.
Experience working with Linux or similar, such as Debian, Red hat & Ubuntu.
Experience developing Linux PCIe Drivers.
Experience working on verification and Validation processes.
Beneficial if you already have experience with embedded systems and RDMA. 
What’s in it for you?

Up to £110k DOE
Lucrative stock options.
25 days holiday + bank holidays + Xmas/New Years Shutdown.
Hybrid working.
Private Healthcare & Life Assurance.
Relocation assistance.
Visa sponsorship provided

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.