microTECH Global LTD

microTECH Global is a recruitment agency specializing in permanent and contract talent for the electronics, micro-electronics, semiconductor, automotive, data science, and AI sectors. They build strong partnerships with clients by understanding their needs to deliver tailored, cost-effective recruitment solutions. With expertise across the IT spectrum, they provide agility and precision to help businesses maintain the right balance of skills and resources. Their consultants cover roles in Micro-Electronics, Semiconductors, Manufacturing, BMS, and Technical IT, delivering top-tier talent globally.

AIAutomotiveContractData ScienceElectronicsMicro-electronicsRecruitmentSemiconductormicrotech-global.com

microTECH Global LTD

AIAutomotiveContractData ScienceElectronicsMicro-electronicsRecruitmentSemiconductormicrotech-global.com

HQMaidenhead, GB

Team Size83

Open Jobs114

Total Funding-

Latest FundraiseUnknown

Join the Team

Machine Learning - (Speech) - Contract

On-SiteEgham, England, GB

On-Site • Egham, England, GB

This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35.

Role and Responsibilities

As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will:

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

AI Researcher

InternshipSan Francisco, US

Internship • San Francisco, US

Mobile Developer

ContractNiš, RS

Contract • Niš, RS

Technical Writer

InternshipTel Aviv

Internship • Tel Aviv

Technical Writer

Part-timeLondon, GB

Part-time • London, GB

Backend Developer

InternshipHamburg, DE

Internship • Hamburg, DE

Product Designer

InternshipAustin, US

Internship • Austin, US

TL;DR

Company Overview

Funding Track Record

Founders

What we do

microTECH Global LTD

AIAutomotiveContractData ScienceElectronicsMicro-electronicsRecruitmentSemiconductormicrotech-global.com

microTECH Global LTD

AIAutomotiveContractData ScienceElectronicsMicro-electronicsRecruitmentSemiconductormicrotech-global.com

HQMaidenhead, GB

Team Size83

Open Jobs114

Total Funding-

Latest FundraiseUnknown

Join the Team

Machine Learning - (Speech) - Contract

On-SiteEgham, England, GB

On-Site • Egham, England, GB

This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35.

Role and Responsibilities

As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will:

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

AI Researcher

InternshipSan Francisco, US

Internship • San Francisco, US

Mobile Developer

ContractNiš, RS

Contract • Niš, RS

Technical Writer

InternshipTel Aviv

Internship • Tel Aviv

Technical Writer

Part-timeLondon, GB

Part-time • London, GB

Backend Developer

InternshipHamburg, DE

Internship • Hamburg, DE

Product Designer

InternshipAustin, US

Internship • Austin, US

MSc/PhD degree 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 areas such as 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 in 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).