Head of Hardware

Cambridge
11 months ago
Applications closed

Related Jobs

View all jobs

Head of BI Business Intelligence and Data

Head of Business Intelligence & Reporting

Head of Business Intelligence & Data Analytics

Head of Data, CDO, Data Governance, Professional Services, City London

Business / Data Analyst

Data Engineer

Head of Hardware – £80k - £120K - Cambridge

Hexwired have partnered with an exciting low latency electronics manufacturer in Cambridge who are looking for someone to head up their hardware team. They are looking for someone with 10+ years of experience in FPGA, digital and low-latency system development to take a hands on role in leading their Hardware development.

Key Responsibilities:

  • Provide technical leadership and strategic guidance to the hardware engineering team.

  • Lead the design and deployment of advanced FPGA platforms for low-latency trading systems.

  • FPGA design experience using Verilog.

  • Define and implement hardware architectures to optimise system performance and scalability.

    Required Skills and Expertise:

  • Advanced degree in Electronics Engineering, Computer Engineering, or a related field.

  • Over 10 years of experience in FPGA design and digital logic for low-latency systems.

  • 4 years commercial Leadership experience

  • Proficiency with System Verilog and tools for Xilinx FPGA design.

  • Experience with programming languages such as C++, Rust, and Python.

    This exciting company is offering their prospective Head of Hardware £120K plus a strong benefits package. If this Head of Hardware job in Cambridge looks like a good fit for you, please apply today!

    For more information on this role or any other jobs across; FPGA, Mixed-signal, Electronics, Hardware, Embedded, C++ programming, Mechanical design, Analogue Eelctronics, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.