Machine Learning Research Engineer

Overview

ML research engineer developing speech/audio and generative AI algorithms.

Key Responsibilities

• software prototypes
• audio research
• algorithm development
• dataset curation
• experimentation
• team collaboration

Tasks

-Build high-quality software prototypes and research-driven experimental systems. -Conduct independent research in audio and speech processing, including signal processing, machine learning, and deep learning. -Design, develop, and implement novel algorithms and systems for speech/audio analysis, enhancement, separation, and understanding. -Collect, analyse, and curate datasets to support ML model development and evaluation. -Contribute to publications in major conferences and journals. -Collaborate with a multidisciplinary team of engineers and researchers to bring innovation from concept to product. -Run rigorous experiments and statistical evaluations to measure algorithm and system performance.

Requirements

• phd
• ml
• deep learning
• audio ml
• generative ai
• model training

What You Bring

-PhD in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, or a related field. -Solid understanding of core machine learning and deep learning principles, architectures, and evaluation techniques. -Strong grounding in speech/audio ML, deep learning, and ideally generative AI for audio. -P. S: Company cannot provide visa sponsorship, so only candidates residing in UK and with the existing right to work will be considered for the role. -Ability to modify model architectures, retrain, and adapt research papers into production-ready systems. -Experience training models, not only using pre-trained ones.

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About Inoverse Groupe

-Born from a passion for transformation, the company turned industrial waste heat into a strategic resource. -It has carved a niche in auditing, designing and installing bespoke systems that reclaim lost thermal energy. -Their financial model focuses on cost‑saving for clients through tangible energy reductions. -Projects range from retrofitting factory cooling units to integrating heat recovery in commercial HVAC. -With a hands‑on engineering approach, they serve sectors from heavy industry to public buildings. -They’ve been trusted by retail leaders and manufacturers to convert excess heat into usable energy. -Unusual fact: they turn rejected cold‑machinery heat into hot water or heating—no fossil fuel needed. -Their story blends innovation, pragmatic engineering and a single focus: stop wasting heat.

Sector Specialisms

Visa Sponsorship

-no visa sponsorship; only candidates already in uk with right to work.