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Finitas

Finitas

www.finitas.co.uk

1 Job

19 Employees

About the Company

Finitas, part of Precision Resource Group (PRG), is a staffing firm specialising in the provision of permanent hires, retained search, senior interims and specialist contractor resource across Insurance and Fintech.

Our team of motivated, highly experienced and knowledgeable consultants utilise their unrivalled expertise to provide bespoke solutions to suit any business challenge. We specialise across contract, interim, search and permanent appointments and offer solutions to meet any requirements from Statements of Work, IR35 determination processes, through to full MSP and RPO models.

Finitas resource across the Insurance and Fintech industries providing professionals working in;

- Finance & Accounting
- Business Change
- Risk & Governance
- Compliance & Legal
- Data & Analytics
- Actuarial
- Audit
- Sales & Marketing
- Professional Services
- Operations & Support
- Product & Technology Strategy

Our parent company, Precision Resource Group (PRG), featured in the 24th annual Sunday Times Virgin Atlantic Fast Track 100, ranking Britain’s 100 private companies with the fastest growing sales over the last three years. We have been finalists at the Bristol Life Awards 2022 and Business leader Awards 2022 and most recently ranked in WIRED Consulting’s Top 15 Trail Blazers in the South West recognising our Given our extraordinary success, growth and industry-leading approaches to recruitment.

We are members of the Employers Network For Equality & Inclusion (ENEI), promoting best practice in equality and inclusion in the workplace for our employees, clients and candidates. Are Disability Confident and members of Programme One, addressing workplace inequality for Black talent within the Recruitment Industry.

Listed Jobs

Company background Company brand
Company Name
Finitas
Job Title
AI Research Scientist
Job Description
Research Scientist - Machine Learning & AI Systems - Cambridge, Hybrid
Are you a passionate AI researcher looking to work at the forefront of on-device and edge-based machine learning (ML) systems? Join a world-class team driving innovation in LLMs, VLMs, and adaptive inference methods for real-world applications in consumer devices.
About the Role:
As a Research Scientist, you will contribute to cutting-edge ML research and commercialization efforts, focusing on efficient AI deployment for embedded and mobile devices. You will work with cross-functional teams to shape the future of AI-driven products, balancing deep research with hands-on development.
Key Responsibilities:
Conduct research in on-device LLM/VLM optimization, adaptive inference, and mobile ML systems
Collaborate with product teams to integrate ML solutions into real-world consumer devices
Design and develop efficient AI algorithms, pushing the boundaries of model/system co-design
Publish in top-tier AI conferences and contribute to patents and technology transfers
Work in a diverse, highly skilled team spanning ML, embedded systems, and robotics
Key Requirements:
PhD in Computer Science, Electrical Engineering, or related field (or equivalent research experience)
Strong expertise in ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML techniques (quantization, pruning, distillation, etc.)
Experience in on-device ML deployment (mobile CPU, GPU, NPU) and distributed multi-GPU training
Fluency in Python, C/C++, Linux, and proficiency with Git/GitHub
Solid publication record in top-tier venues (NeurIPS, ICLR, ICML, MLSys, MobiSys, etc.)
Team-oriented mindset with a passion for innovation and problem-solving
Desirable Skills:
Experience in real-world mobile system deployment
Research background in Generative AI (language, visual, or multimodal tasks)
Experience with Android OS and app development
This is an exceptional opportunity to shape the future of AI-driven consumer technology, working on high-impact projects that blend research excellence with commercial applications.
Apply now to be part of a pioneering team pushing the boundaries of AI innovation!
Cambridge, United Kingdom
On site
21-03-2025