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

Apply Now

Software Engineer

Langham Recruitment
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - DV

Senior Software Engineer - Data Engineering Team

Principle Data Engineer in Nottingham - Commify

Lead Software Engineer - Python / AWS / MLOps

Senior Data Engineer - Scala/Spark

Senior Software and Data Engineer

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. ResponsibilitiesCollaborating 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 DOELucrative 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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.