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AI/ML Research Consultant

Cambridge, England, United Kingdom

Open 3 months, first seen by us 116 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workPlease note this role is not eligible for UKVI sponsorship visa scheme

What you’ll work on

Full posting
  • 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Strong undergraduate degree in Maths, Physics, Engineering, Computer Science or similar
  • Fluent Python programmer with experience in a standard ML framework
  • Research experience or potential for career stage
  • Experience across a range of ML techniques or ability to adapt quickly
  • Clear written and verbal communication
Qualification wording
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.

Benefits in the posting

Full benefits wording
  • Annual profit-related bonus
  • Employer pension contribution of 10% of salary
  • Private medical insurance for employees and dependants
  • Free onsite lunch
  • Life insurance worth 6 x salary
  • Enhanced parental leave and flexible return-to-work support
  • Electric car leasing and cycle-to-work schemes
  • Interest-free travel season ticket loan
  • Local sports facilities and theatre discounts and memberships
  • Comprehensive relocation support (if applicable)
  • You will need to be eligible for UK security clearance.
  • Please note this role is not eligible for UKVI sponsorship visa scheme
  • Company Description

From the employer’s posting.

Apply at TTP

Posting record

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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.

Status in our records
Live
First seen by us
Jul 12, 2026116 days ago
Recorded sightings
77
Last seen by us
Nov 5, 2026
Employer says posted
Jul 9, 2026
Reposted
once since Jul 8, 2026

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.

How this job compares

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.

TTP is hiring

1 open job

  • No new data jobs since July
  • 100% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Keras
  • PyTorch
  • TensorFlow
Where the posting names them
- 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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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

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.

About the role

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.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Job Description

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.

Qualifications

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.

Additional Information

Benefits: 

Awerian operates from the award-winning TTP campus in green surroundings in Melbourn, just south of Cambridge. 

  • Annual profit-related bonus 
  • Virtual shares that reward you with a stake in TTP Group’s long-term success 
  • Employer pension contribution of 10% of salary 
  • Private medical insurance for employees and dependants  
  • Free onsite lunch 
  • Life insurance worth 6 x salary 
  • 25 days holiday   
  • Enhanced parental leave and flexible return-to-work support 
  • Electric car leasing and cycle-to-work schemes   
  • Interest-free travel season ticket loan   
  • Local sports facilities and theatre discounts and memberships 
  • Comprehensive relocation support (if applicable) 

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

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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Location & working pattern

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?
Work authorization
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

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