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

Apply Now

Staff Software Engineer

CT19
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer in Belfast - Wolfspeed, Inc.

Senior Data Engineer in London - Zenobē

Senior Data Engineer in London - Qodea

Senior Data Engineer in London - Harrison Holgate

Data Engineer in London - Robert Half

Engineering Program Manager, Machine Learning

Our client has developed the next-generation of TensorProcessing Units. Custom-designed AI accelerators, which areoptimised for training & inference of large AI models. Withworking prototypes already, they are now looking to scale thebusiness as quickly as possible. We’re seeking a highly experienced& motivated individual to design & build the softwarearchitecture for our next-generation GPUs. This role demands deepexpertise in C & C++ programming, low-level programming,compiler construction & optimisation techniques. Role: StaffSoftware Engineer Location: London Salary: DOE / Competitive +benefits Responsibilities - Design & develop the softwarearchitecture for the next-generation TPU, ensuring high performance& scalability. - Collaborate with hardware engineers tointegrate software & hardware components seamlessly. - Optimisesoftware performance through advanced techniques in low-levelprogramming & compiler design. - Develop & maintain machinelearning frameworks & tools to leverage the full potential ofthe TPU. - Conduct code reviews, provide technical mentorship,& guide other team members in best practices. - Stay currentwith industry trends & advancements in GPU technologies,machine learning, & optical computing. - Lead & participatein the development of technical documentation & specifications.- Drive innovation & contribute to the strategic direction ofthe software engineering team. Skills & Experience - 8+ yearsof experience in software engineering with a focus on C & C++programming. - Extensive experience in compilers, low-levelprogramming, & optimisation techniques. - Proven expertise inmachine learning & its applications in high-performancecomputing. - Strong problem-solving skills & the ability tothink critically & creatively. - Experience in high-pace,dynamic work environments. - Bachelor's degree in computer science,electrical engineering, telecoms engineering, mathematics, or arelated field. - Excellent teamwork & communication skills,with the ability to collaborate effectively with cross-functionalteams. - Personal projects are a key differentiating factor &hold more weight than other requirements.

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 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.

Jobs

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.

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.

🍪 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.