Machine Learning - (Speech) - Contract

MicroTech Consulting
Egham, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - London

Michael Page Technology London, United Kingdom
£85,000 – £100,000 pa On-site

Machine Learning Engineer

Qualify Nation Recruitment Woking, United Kingdom
£35,000 – £55,000 pa Hybrid Clearance Required

Machine Learning Researcher

MicroTech Consulting London, United Kingdom
£139,000 – £140,000 pa On-site

Machine Learning Research Engineer

Luminance Cambridge, United Kingdom
Hybrid

Machine Learning Engineer

Faculty AI London, United Kingdom
£40,000 – £80,000 pa Hybrid Clearance Required

Machine Learning Scientist – Sequence Modelling

Relation Therapeutics London, United Kingdom
Permanent
Posted
11 Feb 2026 (3 months ago)

Senior Machine Learning Research Engineer – Speech, Audio, and Generative AI


This role is available on a permanent basis or as a 6‑month contractor via an agency. The role is inside IR35.


Role and Responsibilities

  • Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing.
  • Lead the development of robust and scalable software solutions for deployment on flagship mobile devices.
  • Independently own and deliver significant components of complex research projects, from initial concept to production readiness.
  • Design, implement, and maintain high-quality, well‑documented code, adhering to best software development practices.
  • Collaborate closely with a multi‑disciplinary team of researchers and engineers, providing technical guidance and mentorship.
  • Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects.
  • Contribute to the development of internal tools and infrastructure to support research and development efforts.

Skills and Qualifications
Required Skills

  • MSc/PhD in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline.
  • Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus).
  • Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics.
  • Strong experience in audio/speech processing, including speech recognition, speech enhancement, audio analysis, text‑to‑speech synthesis, and natural language processing.
  • Proficiency with machine learning frameworks such as TensorFlow or PyTorch.
  • Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies.
  • Excellent communication, collaboration, and problem‑solving skills.
  • Demonstrated ability to translate research ideas into practical, production‑ready solutions.
  • Experience with generative AI, particularly in the context of audio/speech technologies.
  • A strong publication record in top‑tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR).
  • Experience with open‑source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo).
  • Experience developing and deploying AI models on Android mobile platforms.
  • Proven experience in building and maintaining large‑scale, distributed training pipelines.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP).

Seniority Level

  • Associate

Employment Type

  • Contract

Job Function

  • Software Development

Location: London, England, United Kingdom


Salary: $150,000 – $200,000 per annum


#J-18808-Ljbffr

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.