Ai/Ml Research Consultant in England

Ai/Ml Research Consultant in England

England Full-Time 70000 - 90000 £ / year (est.) No working from home possible
A

At a Glance

  • Tasks: Tackle real-world AI/ML challenges and create impactful solutions.
  • Company: Join Awerian, a cutting-edge research and technology consultancy.
  • Benefits: Enjoy competitive pay, bonuses, private medical insurance, and flexible working options.
  • Other info: Collaborative environment with mentorship and opportunities for rapid career growth.
  • Why this job: Be at the forefront of AI/ML innovation and make a real difference.
  • Qualifications: Strong background in Maths, Physics, Engineering, or Computer Science; Python programming skills required.

The predicted salary is between 70000 - 90000 £ per year.

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. Py Torch, Tensor Flow, 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.

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

  • 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
  • Create a job alert for this search
  • #J-18808-Ljbffr

Ai/Ml Research Consultant in England employer: Awerian

Awerian is an exceptional employer, offering a dynamic and innovative work environment at their state-of-the-art facility near Cambridge. With a flat organisational structure that fosters collaboration and mutual support, employees have unique opportunities for professional growth in project leadership and client management. The company also provides an impressive benefits package, including a profit-related bonus, private medical insurance, and flexible working arrangements, making it an attractive place for those looking to make a meaningful impact in defence and security technology.

A

Contact Details:

Awerian Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Ai/Ml Research Consultant in England

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Awerian!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Ai/Ml Research Consultant at Awerian.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Awerian.

Apply Directly through Our Website

When you find a suitable opening like Ai/Ml Research Consultant at Awerian, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Ai/Ml Research Consultant in England

Machine Learning
Python Programming
PyTorch
TensorFlow
Keras
JAX
Data Analysis

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Awerian, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Awerian. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Awerian

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Awerian!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.