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

Apply Now

Platform Engineering Lead - Up to £85,000

Humand Talent
Basingstoke
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Engineer

Lead Data Engineer

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Lead Azure Data Engineer

Platform Engineering Lead: Join a Pioneering Team in Cutting-Edge Technology


Are you passionate about driving innovation in Hardware engineering?


Ready to lead a multidisciplinary team on ground-breaking projects?


We’re looking for aPlatform Engineering Leadwho can bring technical mastery and leadership to an exciting, dynamic team.


Why This Role is Great:


  • End-to-End Ownership: You'll oversee the complete system lifecycle, from conceptual design to the final product. Get ready to steer hardware and software integration for advanced systems.
  • Cutting-Edge Projects: You’ll work on advanced technologies that shape the future, including embedded Linux, custom hardware, and network solutions. Dive into everything from low-level device drivers to custom OS builds.
  • Cross-Disciplinary Collaboration: You’ll collaborate with experts from electrical, mechanical, software, and algorithms teams—bringing holistic solutions to life.
  • Innovation-Driven: This role encourages creativity. You’ll have the opportunity to explore novel solutions, work


The Wishlist:


We’re looking for someone who brings a unique mix of experience. If you have some of these skills, we’d love to hear from you:


  • Team leadership with a knack for inspiring innovation
  • Strong C/C++ programming and shell scripting skills
  • Experience in embedded Linux environments, including Yocto and Buildroot
  • Familiarity with network hardware and software stacks (4G/5G modems, VPNs, IPsec)
  • Experience with CI/CD, automated testing, and version control tools (Git, SVN)
  • A drive to innovate and push the boundaries of system engineering


Why Apply?


  • Lead a Talented Team: Guide and mentor engineers while staying hands-on with some of the most exciting tech in the industry.
  • Shape the Future: You’ll play a key role in defining the product roadmap and driving the engineering strategy forward.
  • Professional Growth: With a mix of leadership and hands-on work, this role provides a perfect balance for developing your career in both technical and managerial directions.
  • Global Impact: Be part of projects that matter—your work will power solutions used worldwide.
  • Salaryup to £85,000 (flexible)
  • Profit ShareScheme
  • Work on aglobal scale


So, if you’re looking for anew challengeat a well established tech driven company, who are ready totake things to the next level,please don’t hesitate to apply!


Keywords: Hardware Engineering, Software Engineering, Hardware Engineering, Embedded Systems, Firmware Development, System Integration, Network Protocols, Cyber-Physical Systems, Real-time Operating Systems (RTOS), Sensor Networks, Microcontroller/Microprocessor Systems, Cloud Computing, Edge Computing, Wireless Communication, Device Management, Requirements Engineering, Testing and Validation, Reliability Engineering, Scalability, Security Engineering, Data Analytics, Machine Learning, Agile Development, Prototyping, Simulation and Modeling, Power Management, Signal Processing.

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.

Jobs

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.

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.