Physicist - Consultant

TTP
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Computer Vision Physicist: Optics & Imaging

Computer Vision Physicist / Engineer

Computer Vision Physicist / Engineer

Research Fellow in Machine Learning for Neutrino Physics

Machine Learning Engineer

Senior Machine Learning Engineer London, United Kingdom

Job Title:        Physicist (Experienced)

Location:        Cambridge, United Kingdom

Contract:        Permanent

Salary:            Competitive + Excellent Benefits

 

Breakthrough technology is vital for strengthening the UK’s Defence and Homeland Security. As a Physicist at Awerian, you will be at the forefront of this innovation race to defend and protect the UK from the latest technological and cyber threats.

 

Your work will have a real-world impact. You will get to explore pioneering concepts by collaborating with elite multi-disciplinary teams of highly educated and skilled scientists, engineers, and designers. It’s a fantastically challenging, varied and agile role.

 

You will see ideas become a reality through the development of prototypes using Awerian’s rapid approach to design and implementation. This will involve all aspects of technology and product development – from invention, analysis, and computational modelling through to prototype design and the transfer to manufacturing.

Requirements

Whether you’re working to solve complex problems or enjoying a eureka moment – your work will make an immediate impact on our widely varied projects. You will approach challenges by getting to the heart of the problem and using your deep physics knowledge to search for solutions. If you have an insatiable curiosity and demonstrable skills in applying fundamental physics to real-world scenarios, you will thrive here. You will be kept busy generating theoretical models and collecting empirical evidence through research, modelling and hands-on experimentation. 

 

Previous projects have covered areas such as:

thermal systems, including aviation and maritime, and materials processes,

optics, including propagation, imaging systems, fibre optics, high power and ultrafast lasers, fluorescence imaging and interaction of light with real-world surfaces,

electromagnetics, including propagation, penetration, interference, and interaction with electronics,

acoustics, including ultrasound and acoustic communications,

fluid analysis, including particle dispersion, fluid flow and microfluidics,

quantum technologies, including sensing, position navigation & timing and communications,

Artificial Intelligence / Machine Learning, autonomous systems and, edge processing.

 

If you have an interest or experience in any of the above areas, we would like to hear from you.

You will have a track record of academic excellence, hold a relevant post graduate degree or a PhD, and have proven technical capabilities with relevant research or professional experience as a Physicist.

 

We are keen to hear from Physicists with experience in any sector.

Why Awerian?

Awerian is no ordinary research and development consultancy. The organisation is an employee-owned business; you will work at our smart and well-equipped offices and laboratories based just outside of Cambridge. Immediately you will be encouraged to share and implement your ideas - there’s no ‘newbie’ status, and you’ll benefit from our culture of freedom.

 

TTP Group is an employee-owned trust.With little hierarchy, there are no corporate hoops to jump through. This, along with our flat structure, encourages mutual support, teamwork, and innovation. It also creates unique opportunities to develop skills in project leadership and client management to keep your professional development on track.

 

Awerian are continuing their rapid growth plan, making this a great time to join our multi-disciplinary team.  You will be part of building on our successful track record and develop your career at the cutting edge of technology.  You will be 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 team, the whole structure of Awerian is designed to help you connect, thrive, develop your expertise and career.

 

Benefits

Joining Awerian means you’ll enjoy our fantastic employee benefits including:

·       Lunch, snacks, and refreshments provided

·       Employer pension contribution of 12% (of pensionable salary +3% personal contribution)

·       Private medical insurance for you and your family & Life insurance

·       25 days annual holiday plus bank holidays

·       A comprehensive relocation package is available, if applicable

·       Electric Vehicle leasing & Cycle to Work scheme

·       Access to TTP Group social and sport clubs

·       Discounts and memberships to local sports facilities and the theatre

 

So, if you’re ready to create the extraordinary at the forefront of UK homeland security; apply today.

 

Please note:

You will need to be eligible for UK security clearance

This role is not eligible for UKVI sponsorship visa scheme

All applicants will receive a response.

 

Our business revolves around collaborating with one another to tackle genuinely hard problems. Equality and diversity in the workplace are some of the most challenging problems facing society. We continuously strive to do better, and we fundamentally believe in the power and importance of diversity – both for our community and for the overall success of our business. 

We therefore encourage applications from all individuals. Whatever your background, whatever your identity: we would love to hear from you.

 

 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.