Lead / Senior Software Engineer - ML/AI

Whitechapel

2 months ago

Applications closed

Related Jobs

View all jobs

Big Data Engineer - DV Cleared

Senior Software Engineer – API & ML Infrastructure

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Senior Data Engineer

Senior Data Engineer - Snowflake

Principal Data Engineer

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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jul 2, 2025

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Jun 29, 2025

Jobs

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Jun 24, 2025

Careers Jobs

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.