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Trinnovo Group's HQ and the heart of the UK's Deep Tech sector. From our London office, we connect the best candidates with the brightest opportunities around the world.
Anthony Kelly
HI, I'M Anthony

MEET THE TEAM

Anthony Kelly

Co-Founder & MD EU/UK

Hayley Killengrey

Co-Founder & MD USA

Nathan Wills

Senior Consultant | Switzerland

James Davis

Principal Consultant | USA

Paddy Hobson

Senior Consultant | DACH

Sam Oliver

Senior Consultant | DACH

Jonathan Harrold

Consultant

Harry Crick

Consultant | USA

SALARY GUIDE

Built with fresh insights from our talent network, we developed this guide for anyone hoping to benchmark salaries, align remuneration with the wider market, or learn more about the trends and opportunities across the UK's Deep Tech ecosystem.

INSIGHTS

From Innovation to Implementation: Exploring Deep Tech's Growing Pains

From Innovation to Implementation: Exploring Deep Tech's Growing Pains

The Deep Tech Funding Snapshot!

The Deep Tech Funding Snapshot!

From Innovation to Implementation: Exploring Deep Tech's Growing Pains

From Innovation to Implementation: Exploring Deep Tech's Growing Pains

Deep Tech Excellence: Funding at a Glance

Deep Tech Excellence: Funding at a Glance

LATEST JOBS

Amsterdam Buitenveldert, Netherlands
AI Researcher (Speech Processing)
Job Opportunity: AI Researcher (Speech Processing)Specialization: ASR, TTS, Voice Synthesis & AILocation: AmsterdamSalary: Competitive, negotiable depending on experienceAbout UsDeepRec.ai are delighted to be collaborating with a leading research center in Amsterdam, focused on cutting-edge AI and voice technologies. Specializing in ASR and TTS, we’re seeking an innovative researcher passionate about voice synthesis, voice conversion, and AI-driven research.Your RoleAdvance Speech Technologies: Conduct research in ASR and TTS, including projects in voice cloning and conversion.Develop Innovative Models: Create advanced algorithms for speech recognition, synthesis, and voice conversion.Evaluate Across Languages: Test ASR and TTS systems in multiple languages using varied metrics.Collaborate and Deploy: Work with researchers and engineers to integrate your work into scalable solutions.Publish Your Research: Present findings at conferences and in leading journals.Partner with Linguistic Experts: Collaborate with native speakers to enhance multilingual performance.QualificationsEducation: PhD or Master’s in Computer Science, Electrical Engineering, or a related field.Experience: At least 3 years in ASR and TTS, with a record of delivering impactful solutions.Technical Skills: Proficient in Python, with hands-on experience in PyTorch or TensorFlow for speech synthesis.Communication: Strong written and verbal skills; ability to work in a diverse, collaborative team.Language: Fluent in English; proficiency in additional languages is a plus.What's On OfferCompetitive Salary and BenefitsAccess to High-Performance ResourcesCollaborate with Global Experts
Jonathan HarroldJonathan Harrold
Remote work, Germany
Senior Audio Researcher
Role: 🎵 Senior/Lead Audio Researcher – Music GenerationLocation: 📍 Israel Preferred / 🌍 Remote Considered (Europe)Salary: 💰 Highly Competitive (negotiable depending on experience)The Company:DeepRec.ai are working with a cutting-edge AI company developing tools that empower creators and businesses to produce innovative, high-quality content. As they expand into AI-driven music generation, they seek a Senior Audio Researcher to lead this effort, combining advanced research, engineering, and leadership to drive groundbreaking developments in generative audio technology.Role Overview:You will design and train state-of-the-art generative audio models, focusing on encoding and decoding audio signals for music creation. As a key leader, you’ll guide a team, publish research, and develop scalable systems for real-world applications, shaping the future of AI-driven music.Key Responsibilities:Lead research on large-scale generative audio models for music and audio signal processing.Build and optimize scalable systems for music generation.Guide and mentor multidisciplinary teams, fostering collaboration and innovation.Publish findings in top-tier conferences and represent the company in industry events.Explore synergies between music and speech generation models.Qualifications:Advanced degree in a relevant field (PhD preferred).Proven experience in training large-scale generative audio models and encoding/decoding audio.Proficiency in Python, deep learning frameworks, and audio signal processing.Strong publication record in top-tier conferences (e.g., NeurIPS, ISMIR).Excellent communication and leadership abilities.What's on Offer:Competitive salary and benefits.Opportunity to lead an innovative AI-driven music initiative.Flexible, collaborative work environment.
Jonathan HarroldJonathan Harrold