Lead / Senior Software Engineer - ML/AI

Whitechapel
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Machine Learning Engineer

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Machine Learning Engineer (Forward Deployed)

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.