We are fully licensed across the UK, Ireland, Switzerland, Germany and the USA, enabling us to support customers with compliant cross-border talent acquisition.

Image 1Image 2
undefined
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
Co-Founder & MD EU/UK

MEET THE TEAM

Anthony Kelly

Co-Founder & MD EU/UK

Hayley Killengrey

Co-Founder & MD USA

Nathan Wills

Senior Consultant | Switzerland

Paddy Hobson

Senior Consultant | DACH

Sam Oliver

Senior Consultant | Contract DACH

Jonathan Harrold

Consultant - Germany

Harry Crick

Consultant | USA

Sam Warwick

Senior Consultant – Geospatial, Earth, & Defence Technology

Benjamin Reavill

Consultant - US

Viki Dowthwaite

Commercial Director

Helena Sullivan

CMO

Marita Harper

HR Partner

Micha Swallow

Head of Talent, People, & Performance

Aaron Gonsalves

Head of Talent

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. Please let us know if you'd like a copy, and the team will be in touch.

DOWNLOAD

 

LATEST JOBS

Greater London, South East, England
Chief Technology Officer
Chief Technology Officer (CTO)Location: London (4–5 days per week on-site)Type: Full-timeOverviewWe are looking for a hands-on Chief Technology Officer to lead the technical direction of an early-stage AI company. The ideal candidate will combine strong technical depth with the ability to build and scale a world-class engineering culture. You will work closely with the founders to shape product strategy, oversee technical delivery, and define the roadmap that takes the company from prototype to scale.Key ResponsibilitiesDefine and execute the company’s long-term technical vision and architectureLead the design, development, and deployment of AI products and infrastructureManage and grow a small, high-performing engineering and research teamOversee end-to-end product development cycles, from ideation to deliveryEvaluate and implement best practices in model development, MLOps, and data securityContribute to product strategy, technical partnerships, and investor discussionsMaintain a strong understanding of the latest advancements in AI and applied machine learningEnsure efficient scaling of systems, pipelines, and infrastructure as the business growsPreferred ExperienceProven experience in a senior technical leadership role within an AI, ML, or data-driven companyStrong understanding of modern AI architectures, LLMs, or multimodal systemsExperience managing small engineering or research teamsStrong knowledge of cloud platforms, containerization, and MLOps toolingTrack record of taking an AI product from research or prototype stage to productionExcellent communication skills and ability to work closely with non-technical stakeholdersExperience in a start-up or scale-up environmentWhat We OfferOpportunity to shape the direction of a growing AI company from the ground upAutonomy to build and lead the technical functionCompetitive salary and equity packageCollaborative, fast-moving environment based in central London
Nathan WillsNathan Wills
Bristol, South West, England
Senior Robotics Manipulation Engineer
Senior Robotics Manipulation EngineerSalary: up to £125,000Location: CambridgeThe Companies Long Term Vision: Turn AI Robotics on its head.About Us:Join a business at is at the forefront of AI Robotics, developing cutting-edge solutions to revolutionize the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.The Challenge:Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.As a Senior Robotics Control Engineer, you will:Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.Develop control algorithms that effectively translate simulated environments to real-world robot behavior.Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods.Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.Qualifications:Solid understanding of control theory, with a focus on manipulation and locomotion tasks.Proficiency in Python/C++ and deep learning frameworks like PyTorch.Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.Experience working with physical robots is beneficial.Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.If you want to join a company that is pushing the boundaries of AI Robotics. Apply today!
Anthony KellyAnthony Kelly