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

Apply Now

Lead / Senior Software Engineer - ML/AI

Whitechapel
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Principal Software Engineer

Project Lead / Senior FPGA Engineer

Senior Data Architect

Firmware Engineer (BLE / IoT)

Business Growth Professional

Lead / Senior Software Engineer – ML/AI
Salary: £90,000 - £140,000 D.O.E.
Location: United Kingdom
Working Environment: Remote
 
This is a unique opportunity to work alongside a global leader in the AV domain, at the intersection of media, AI, and edge computing.
 
The company’s media players are trusted by organizations across a wide range of industries around the world for their flexibility, performance, and reliability. These robust devices support various audio and video formats, render HTML content, and run custom user-developed applications. They have also integrated built-in Neural Processing Units (NPUs), enabling on-device inference for Machine Learning and Artificial Intelligence applications.
 
As the Lead / Senior Software Engineer, you will be joining a rapidly growing team shaping the future of intelligent media solutions and tasked with building a C++ wrapper, enveloping the embedded system, as well as the ML/AI models that will interface with this wrapper.
 
Key Requirements

7+ years of experience developing software targeting / interfacing with an embedded system / physical product.
Strong proficiency programming in C++ and Python.
Experience programming applications targeting Linux.
Deep understanding of ML inference with experience of both developing and integrating ML Models with embedded systems. 
Desired, but not essential:

Technical leadership experience.
Experience within machine vision, text-to-speech or speech-to-text technology.
Experience developing software for products within the AV / media industry

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.

The Best Free Tools & Platforms to Practise Edge Computing Skills in 2025/26

Edge computing has emerged as one of the most exciting technology trends of the past decade. By processing data closer to where it is generated — on devices, gateways, or local servers — it reduces latency, saves bandwidth, and enables faster decision-making. It’s what powers everything from autonomous vehicles to real-time healthcare monitoring, smart cities, and industrial IoT. In the UK and globally, demand for edge computing professionals is on the rise. Employers are looking for engineers, architects, and developers who can deploy applications on constrained devices, design resilient distributed systems, and integrate edge infrastructure with the cloud. But here’s the challenge: reading about edge computing won’t get you the job. Employers want to see proof that you’ve built, tested, and deployed at the edge — even if only in simulated environments. The good news? There are many free tools, open-source frameworks, and learning platforms that allow you to practise edge computing in 2025 without needing an enterprise-level budget. This guide covers the best free tools and platforms to practise edge computing skills, how to use them effectively, and how to build portfolio projects that impress recruiters.

Top 10 Skills in Edge Computing According to LinkedIn & Indeed Job Postings

Edge computing is rapidly transforming how data is processed, analysed, and acted upon—right at the source. Across the UK, sectors such as IoT, manufacturing, autonomous vehicles, retail, and healthcare are deploying edge solutions to reduce latency, reduce network load, enhance reliability, and improve privacy. As organisations invest in decentralised architecture, demand for professionals who understand both hardware and software at the network’s edge is soaring. But what skills are employers prioritising in 2025? By analysing job postings from LinkedIn and Indeed, this article distils the Top 10 edge computing skills UK employers are seeking—and how you can showcase them on your CV, in interviews, and through hands-on proof-of-work.

The Future of Edge Computing Jobs: Careers That Don’t Exist Yet

Edge computing is fast becoming one of the most disruptive trends in digital technology. By moving data processing closer to where it is generated—on devices, sensors, and local servers—edge computing reduces latency, cuts bandwidth costs, and enables real-time decision-making. It powers everything from smart factories and self-driving cars to healthcare monitoring and augmented reality. In the UK, edge computing is increasingly important for critical industries: manufacturing, logistics, defence, and healthcare. As 5G networks expand and billions of Internet of Things (IoT) devices come online, edge solutions are being deployed nationwide. The UK government’s Digital Strategy and investment in smart infrastructure further highlight the role edge will play in national competitiveness. Yet we are only at the beginning. As edge converges with artificial intelligence, robotics, and quantum technologies, the jobs of tomorrow will look very different. Many of the most vital edge computing jobs of the next two decades don’t exist yet. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.