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
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Machine Learning

Lead Machine Learning Engineer Graph ML

Urgent Search: Senior Machine Learning Engineer (One Braham (4140), London, United Kingdom)...

Senior Machine Learning Engineer – Computer Vision

Senior Researcher / Chief Scientist (Computer Science & Artificial Intelligence)

Senior Data Scientist

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.