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

Apply Now

FPGA VHDL Digital Design Engineer

Witney
6 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer, Python - Trading Teams EMEA

Quantitative Developer, C++ - Trading Teams EMEA

EMEA Quantitative Developer Graduate 2026

EMEA Graduate Quantitative Trader/Researcher 2026

Quantitative Developer

Role: R&D FPGA VHDL Digital Design Engineer

Location: Witney, oxford

Job Type: Permanent, Full-time - 37.5 hours per week

Hybrid: 2-3 days remote work a week depending on design schedule and working on physical products

Salary: £60,000 - £80,000

Summary:

We are world leaders in the design, development, and manufacture of precision magnetic field sensors. We are now looking to recruit a Digital Design Engineer to join and complement our engineering design team within our R&D Department.

Responsibilities:

Take charge of the design, development and validation of digital electronic instrumentation and support equipment
Work within a multi-disciplinary team on design projects, working from initial concept through to production release
Support of existing digital products (24-bit Digitisers, Signal Analysers and Dataloggers)
Occasional liaison with customers and external test houses

Skills and Experience:

Essential:

BSc, BEng or equivalent in appropriate engineering or science discipline
Altera FPGA and VHDL
STM32, PIC, NXP, NIOS and Freescale Microcontrollers/processors
Digital Signal Processing
Data transmission - CAN, RS485/422/232, UART, USB, Ethernet, SPI, I2C

Desirable (but not essential):

MSc, MEng or equivalent in appropriate engineering discipline
Experience in working with magnetic field related instrumentation
Low noise analogue and mixed signal design of precision instrumentation
Design for manufacture and test
Design for EMC

Experience gained from one of the following industrial backgrounds would be an advantage:

Instrumentation and control
Measuring instruments and sensors

To apply:

Please send CV to

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

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 Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.