8 дней назад
AI/ML Research Consultant (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Research Consultant (AI/ML): Designing and deploying machine learning systems for UK defence and security challenges with an accent on model research, experimentation, and rapid prototyping. Focus on developing and training models for niche applications, optimising AI for resource-constrained hardware, and turning research ideas into working prototypes.
Location: On-site full time at the Campus in Melbourn, near Cambridge, UK.
Company
Awerian is a research and technology development consultancy within Group, delivering advanced R&D solutions for the UK defence and security sector.
What you will do
- Design and deploy machine learning systems for diverse, real-world applications and novel technical challenges.
- Research model fundamentals, architectures, machine learning techniques, and the full ML pipeline.
- Develop and train models, build proofs of concept, and create working prototypes.
- Analyse technical literature, formulate hypotheses, design experiments, and interpret results.
- Troubleshoot prototypes, present conclusions, and recommend further research.
- Work with clients to understand requirements and deliver high-quality outcomes at pace.
Requirements
- Strong undergraduate degree in mathematics, physics, engineering, computer science, or a related subject.
- Research experience or potential through postgraduate study, side projects, or professional learning.
- Fluent Python programming and experience with one or more ML frameworks, including PyTorch, TensorFlow, Keras, or JAX.
- Experience across multiple machine learning techniques or the ability to adapt rapidly to new domains.
- Scientific rigour, creative problem-solving, independent working ability, and effective written and verbal communication.
- Eligibility for UK security clearance is required; the role is not eligible for the UKVI sponsorship visa scheme.
Nice to have
- Research experience in the UK defence and security sector.
- Client-facing experience and commercial awareness.
- Expertise in edge AI, resource-constrained ML, hardware-specific optimisation, custom CUDA, FPGA or embedded deployment.
- Hands-on research into generative models or development of AI-based and agentic tools.
Culture & Benefits
- Annual profit-related bonus and virtual shares in Group.
- 10% employer pension contribution, private medical insurance, and life insurance worth six times salary.
- 25 days of holiday, enhanced parental leave, and flexible return-to-work support.
- Free on-site lunch, relocation support where applicable, and electric car leasing and cycle-to-work schemes.
- Flat, collaborative structure with autonomy, project leadership opportunities, mentorship, skills communities, and in-house training.
- Access to local sports facilities, theatre discounts and memberships, and an interest-free travel season ticket loan.
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