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

Apply Now

FPGA Network Engineer

Farringdon
10 months ago
Applications closed

Senior FPGA Network Engineer | London | Hybrid | £80k-£120K | Lucrative Stock Options

Are you an experienced FPGA Engineer with high-speed computer networking experience? 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 Senior 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.
 
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. 
Required experience:

Minimum 5 years of hands-on industry experience in FPGA design for 100Gb/s networks.
Experience with high-speed interfacing and Memory Access such as PCIe (Driver Development), CXL, RDMA, DDR4, Ethernet & GTM.
Strong understanding of clock domain & crossing techniques.
Strong understanding of FPGA tool flows (synthesis, partitioning, place & route, timing analysis).
Strong SystemVerilog, Verilog & VHDL skills.
Experience with Xilinx UltraScale+ & Intel Agilex 7.
Strong scripting experience with TCL and/or Python.
Experience with Questa, ModelSim, GHDL, Verilator, Quartus, Vivado & Vitis.
Experience in High Level Synthesis (HLS)
Bachelor’s or Master’s degree in electronics engineering or other relevant fields or experience within the industry.What’s in it for you?

Up to £120k DOE
Lucrative stock options.
25 days holiday + bank holidays.
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.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.