AI/ML Research Consultant

TTP

CambridgeOn-sitefull timeAwerianPosted 1mo agoEarly applicant likely

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As a consultant at Awerian you will use your curiosity, creativity, and rigour to tackle diverse, real-world challenges which are typically at the forefront of emerging AI/ML technologies. You will use your experience to design and deploy systems that apply machine learning to a broad range of tasks, often in novel settings, pulling together third-party components and building elements yourself. You will research the fundamentals of models, their architectures, and each stage of the machine learning pipeline. And you will see ideas become reality as you create impactful solutions through Awerian’s rapid approach to design and implementation. It’s a fantastically challenging, varied, and agile role. Awerian’s wide variety of projects often bring together aspects of science, engineering and machine learning, and span initial proofs-of-concept through to development of working prototypes, providing both intellectual and practical challenges. Projects are rapidly evolving, in line with both the nature of the technology landscape and our clients’ requirements, and can span from a few months to years. Typical elements include: - Analysing the latest techniques and advances in the literature. - Generating new ideas and hypotheses. - Developing and training models, often for niche applications. - Rapid prototyping and troubleshooting. - Designing and running experiments. - Analysing results and drawing and presenting conclusions. - Making recommendations for further research. Projects will also stretch and develop your commercial awareness, through partnership with clients to understand their needs and deliver high-quality outcomes at pace. Successful applicants will demonstrate some of the following key attributes: - Hold a strong undergraduate degree in a relevant subject including (but not limited to) Maths, Physics, Engineering, or Computer Science. - Demonstrate research experience or potential, commensurate with their career stage. This may include postgraduate study, side projects, or on-the-job learning. - Be a fluent Python programmer, with experience in one or more standard ML frameworks, e.g. PyTorch, TensorFlow, Keras, or JAX. - Possess experience across a range of machine learning techniques or the ability to adapt to new domains rapidly. - Bring a rigorous scientific approach, creative problem-solving ability, independent mindset, and broad interest in developments across the machine learning field. - Be able to communicate effectively, both verbally and in writing. - Possess the ability to work both autonomously and collaboratively with an expert team in a high-performing environment. The following are desirable but not essential: - Research experience in the UK Defence and Security sector. - Experience of, or the skills required for, client-facing roles. - Technical expertise in one or more of the following areas: - Edge AI and, more broadly, machine learning techniques for resource-constrained problems. - Optimising models for specific hardware, e.g. writing custom CUDA code or deploying to FPGA or embedded devices - Hands-on research into generative models. - Development of AI-based or agentic tools. Owing to the fast-paced, collaborative nature of our work, successful applicant(s) would be expected to work on-site full time, in our state-of-the-art office and labs at the TTP Campus (Cambridge Road, Melbourn, SG8 6HQ). Why Awerian? Awerian is a research and technology development consultancy, comprising ~40 mathematicians, scientists, and engineers. Awerian provides advanced R&D services to the UK defence and security sector and specialises in delivering innovative solutions at pace to its clients’ most challenging technical problems. As part of the wider TTP Group, Awerian works closely with its sister consultancy TTP plc and shares state-of-the-art facilities within a purpose-built campus in green surroundings close to Cambridge. Awerian’s technical themes include: - Artificial intelligence and machine learning. - Modelling, simulation and algorithm development. - Electronics and sensing. - FPGA and embedded software. - RF and communications. - Emerging technology. - Special product development. Awerian consultants regularly contribute and collaborate flexibly according to project needs, leveraging existing expertise and quickly upskilling in emerging areas. Immediately you will be encouraged to share and implement your ideas as a valued member of the team, enjoying a high level of autonomy and responsibility: managing your own time, taking ownership of tasks, and investing in shared project visions. Awerian operates a flat structure, without boundaries between different skill areas and with a strong culture of freedom and openness. This encourages mutual support, teamwork, and innovation. It also creates unique opportunities to develop project leadership, client management, and commercial skills alongside technical expertise. Supervision and mentorship are provided both formally and informally across several levels: - Day-to-day work is typically organised around projects, with oversight provided by Project Leaders and support and mentorship on hand from more experienced colleagues. - Each consultant is assigned a People Manager who provides support and guidance and takes a particular interest in their progress and development. - Awerian, and the wider TTP Group, provides a supportive environment with on-going opportunities for learning and sharing of expertise and skills, such as skills communities and in-house developed training.

About TTP

# TTP TTP is an engineering and technology company that develops products and solutions for defence, aerospace, energy, and sustainability sectors - including cyber security systems, communications and sensing technologies, and decarbonization equipment. The company hires engineers and researchers across mechanical design, RF communications, vulnerability assessment, and related disciplines to take projects from concept through to deployment for clients ranging from startups to major defence co

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