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

Apply Now

FPGA Network Engineer

Langham Recruitment
London
1 year ago
Applications closed

FPGA Network Engineer | London | Hybrid | Up to £60k | Lucrative Stock Options Are you an FPGA Engineer with high-speed computer networking experience? Do you have a background in Optical Computer Networks & Systems? Are you looking to work on cutting edge products in AI and Machine Learning? Then this might just be 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. They are looking for FPGA Engineers with strong High-Speed networking experience to join them in their mission to revolutionise AI systems whilst reducing energy consumption and stiving for a sustainable future. This role is suitable for candidates with a Batchelors, Masters or PhD in related fields with a strong desire to contribute in a commercial setting. Key responsibilities: Work within a multidisciplinary R&D team to generate product ideas, product concepts and resolve any issues. Presenting products internally to management and other stakeholders. Inhouse and external prototyping. Delivering FPGA based systems for internal and client use. Delivering risk analyses, test plans, protocols report writing and documentation for FPGA Systems. Preferred experience: Experience in FPGA design for Optical Networks and Systems. Experience with high-speed interfacing and Memory Access such as PCIe, CXL, RDMA, DDR4, Ethernet & GTM. Understanding of clock domain & crossing techniques. Understanding of FPGA tool flows (synthesis, partitioning, place & route, timing analysis). RTL skills with SystemVerilog, Verilog & VHDL. Experience with Xilinx Versal Premium & Intel Agilex 7. Scripting experience with TCL and/or Python. Experience with Questa, ModelSim, GHDL, Verilator, Quartus, Vivado & Vitis. What’s in it for you? Up to £60k DOE Lucrative stock options. 25 days holiday bank holidays Xmas/New Years Shutdown. Hybrid working. 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.