Time since we first saw it
Day 116
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,481 similar postings that came down. Coming down is not always a hire.
Cambridge, England, United Kingdom
Open 3 months, first seen by us 116 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Please note this role is not eligible for UKVI sponsorship visa scheme
Analyse the latest machine learning techniques and literature
Develop and train models, often for niche applications
Rapidly prototype, troubleshoot and design and run experiments
Analyse results and present conclusions and recommendations
Partner with clients to understand needs and deliver outcomes at pace
Analysing the latest techniques and advances in the literature.
Developing and training models, often for niche applications.
Rapid prototyping and troubleshooting.
Analysing results and drawing and presenting conclusions.
partnership with clients to understand their needs and deliver high-quality outcomes at pace
Hold a strong undergraduate degree in a relevant subject including (but not limited to) Maths, Physics, Engineering, or Computer Science.
Be a fluent Python programmer, with experience in one or more standard ML frameworks, e.g. PyTorch, TensorFlow, Keras, or JAX.
Demonstrate research experience or potential, commensurate with their career stage.
Possess experience across a range of machine learning techniques or the ability to adapt to new domains rapidly.
Be able to communicate effectively, both verbally and in writing.
From the employer’s posting.
Open 3 monthsWe first saw this posting 116 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 116
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,481 similar postings that came down. Coming down is not always a hire.
1 open job
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- 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.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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:
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:
The following are desirable but not essential:
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:
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:
Benefits:
Awerian operates from the award-winning TTP campus in green surroundings in Melbourn, just south of Cambridge.
Please click the following link to read the TTP Group Diversity Statement.
You will need to be eligible for UK security clearance.
Please note this role is not eligible for UKVI sponsorship visa scheme
Breakthrough technology is vital for strengthening UK defence and homeland security. As an AI/ML Research Consultant at Awerian, you will be at the forefront of this innovation race and support interesting and challenging projects which contribute to the defence and protection of the UK from the latest technological and cyber threats.
Awerian is continuing its rapid growth plan, making this a great time to join our multi-disciplinary team. You will build on our successful track record, developing your career at the cutting edge of research and development and supported by our team of experts. We’re a business of individuals – however, our curiosity brings us together and it drives what we do. Whether you’re leading a project or part of a project team, the ethos and structure of Awerian is designed to help you connect and thrive.
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Cambridge, England, United Kingdom
- 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?
Please click the following link to read the TTP Group Diversity Statement. You will need to be eligible for UK security clearance. Please note this role is not eligible for UKVI sponsorship visa scheme Company Description