2 days ago
Cambridge, United KingdomEntry Level
Responsibilities
- Analyse advances in machine-learning research and generate new ideas and hypotheses.
- Develop and train models for niche applications across diverse projects.
- Design and run experiments, rapidly prototype solutions, and troubleshoot implementations.
- Analyse results, present conclusions, and recommend further research.
- Design and deploy machine-learning systems using third-party components and internally developed elements.
- Work with clients to understand their needs and deliver high-quality outcomes at pace.
Requirements
- Hold a strong undergraduate degree in a relevant subject such as Mathematics, Physics, Engineering, or Computer Science.
- Demonstrate research experience or potential appropriate to career stage, including through postgraduate study, side projects, or on-the-job learning.
- Be fluent in Python and experienced with one or more standard machine-learning frameworks such as PyTorch, TensorFlow, Keras, or JAX.
- Have experience across multiple machine-learning techniques or the ability to adapt rapidly to new domains.
- Demonstrate rigorous scientific thinking, creative problem-solving, independence, and broad interest in machine learning.
- Communicate effectively verbally and in writing and work both autonomously and collaboratively.
- Desirable qualifications include UK defence and security research experience, client-facing experience, edge AI expertise, hardware-specific model optimisation, custom CUDA development, FPGA or embedded-device deployment, generative-model research, and AI-based or agentic tool development.
- Be eligible for UK security clearance.
Benefits
- Annual profit-related bonus and virtual shares in TTP Group.
- Employer pension contribution of 10% of salary, private medical insurance, and life insurance worth six times salary.
- Free on-site lunch, 25 days of holiday, enhanced parental leave, and flexible return-to-work support.
- Electric car leasing, cycle-to-work schemes, interest-free travel season ticket loan, local sports facilities, and theatre discounts and memberships.
- Comprehensive relocation support where applicable.
- Full-time on-site work at the TTP Campus in Melbourn, near Cambridge.
- Ongoing learning, mentoring, skills communities, and in-house training.
Categories
AI ResearchML Engineering
