Graduate Machine Learning Engineer

Neuphonic

London

9 months ago

Applications closed

Related Jobs

View all jobs

Data Scientist

Graduate Technical Engineer

Application Software Engineer - Graduate - Mid level

Technical Support Engineer - Graduate Considered

Graduate / Junior Data & AI Analyst

Graduate Data Scientist - Fraud

Company

Neuphonic are building the best ultra low latency text-to-speech system to create the most natural, responsive conversations with AI possible. We’re backed by some of the best VCs in Europe and the US and are revolutionising AI interaction by redefining what it means to have a voice. We’re creating a future where engaging with AI feels intuitive and effortless, that AI can act to make lives easier, and ultimately that people will look at their phones less and communicate more.

Role

As a machine learning engineer, you will be conducting research and development work on speech synthesis. The scope of work ranges from pushing the boundaries of speech processing and machine learning research to building high quality proprietary speech datasets for some of the most exciting applications of speech and voice technology in the world.

You have

At least an MSc/MEng degree in a STEM subject, machine learning or speech and language processing from a top university
Experience with Python
Experience with machine learning frameworks such as PyTorch, JAX or TensorFlow
A love for speech processing and speech synthesis

Benefits

Help us set the company culture - you’d be joining us as part of our founding team. Help us set and guide the company culture! Whether it’s breakfasts, reading groups or games nights. Give us your ideas and we’ll make it happen together.
Competitive salary and equity - we want to make sure you’re rewarded not just in financial terms but also have a sizeable stake in the business as well. We’re in this together.
Private health insurance - your health and well-being is paramount. We want to make sure that everyone in the company is supported when it comes to health.
Flexible working hours and hybrid working - we’re still at our early stages, so we’ll want to make sure we have enough in-person time to be able to move quickly, however we want to make sure that we’re as flexible as you need to be getting on with other things in life as well
Conference, travel and development budget - your development will also grow the business. We want to make sure that you have access to the resources and opportunities you need to be at your best

Other notes

Please attach your CV in PDF format

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 21, 2025

Careers Jobs

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

Jul 18, 2025

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jul 14, 2025

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.