Machine Learning (Speech ) - Paid Internship - West London

microTECH Global Ltd
South West England
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 Good

Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

We are currently looking for a PhD Researcher to join our client on a paid internship.

You will be working on cutting-edge research for on-device AI.

Responsibilities:

•Develop state-of-the-art AI.
•Develop research ideas into production-ready software.
•Incorporate software engineering practices at both research and development stages
•Publish research results via papers and reports.

Required Qualifications / Expertise:

•Perusing PhD degree in AI / ML or a related subject.
•First author publications in top AI Conferences / Journals.
•Expertise in: Speech Recognition / Enhancement, Audio Processing / Generation or Generative AI.
•Proficiency in problem solving and debugging
•Expertise in Computer vision, machine/deep learning or related fields
•Strong programming skills in Deep Learning libraries like Pytorch and/or TensorFlow
•Programming proficiency one or more of programming language and APIs like C++/Java/Python
•Excellent communication, teamwork and a results-oriented attitude
•Proficiency in problem-solving and debugging

Contract Length: 6 Months
Location: West London
Hybrid: 2 days remote, 3 days on site per week.

For more information email

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

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.