At a Glance
- Tasks: Build intelligent systems and solve real-world problems with cutting-edge technology.
- Company: Join a leading tech firm known for innovation and collaboration.
- Benefits: Gain hands-on experience, work in state-of-the-art labs, and develop your skills.
- Other info: Exciting career growth opportunities in a dynamic and supportive environment.
- Why this job: Make a real impact in AI and algorithms while working on diverse projects.
- Qualifications: PhD in a relevant field and strong Python programming skills required.
The predicted salary is between 28000 - 38000 £ per year.
We have an exciting opportunity for an engineer within our AI & Algorithms department. As a PhD AI & Algorithms Engineer, you’ll work within our team of talented engineers and scientists on a diverse range of projects. With cutting-edge labs and computing resources at your disposal, you'll use technology to solve problems in the real world.
What you’ll be doing:
- Building intelligent systems, developing your skills through hands-on coding and training/testing models.
- Learning software development skills in mixed-discipline teams, attending stand-ups and contributing to planning sessions.
- Contributing to our internal research and development programs, building on state-of-the-art literature to produce our own, market-leading solutions and compelling demonstrations that showcase our expertise to clients.
- Supporting projects for our clients to solve real-world problems.
- Communicating the results of your work to your colleagues and clients.
What you can bring:
We are looking for someone with strong academic credentials and a PhD in a relevant technical subject, such as AI/machine learning, computer science, mathematics, physics or theoretical physics. You will also have:
- Interest in applying AI and algorithmic techniques to real-world problems.
- Strong Python programming skills and appreciation for modern software development practices.
- Demonstrable research experience in a data-driven field (such as project work, conference proceedings or papers published in scientific journals).
While not essential requirements, we would also be very interested if you have experience with any of the following:
- Information science
- Bioinformatics
- Reinforcement learning
- Transformer, diffusion models
- Robotics
- Edge compute
Some projects at Cambridge Consultants are subject to security restrictions. This role requires you to obtain a Security Check level security clearance. You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government National Security Vetting criteria.
PhD Graduate AI & Algorithms Engineer (2026 start) employer: Cambridge Consultants
At Cambridge Consultants, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our state-of-the-art facilities in the heart of Cambridge provide an inspiring environment for PhD graduates to thrive, with ample opportunities for professional growth through hands-on projects and cutting-edge research. Join us to be part of a team that not only values your contributions but also empowers you to make a real impact in solving complex challenges using AI and algorithms.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Graduate AI & Algorithms Engineer (2026 start)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and algorithms field. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. Share it on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and algorithms. Practice coding challenges and be ready to discuss your research experience. Confidence is key, so rehearse your answers!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Tailor your application to highlight how your skills align with our projects and values.
We think you need these skills to ace PhD Graduate AI & Algorithms Engineer (2026 start)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of PhD AI & Algorithms Engineer. Highlight your relevant skills, especially in Python and any experience with AI or machine learning projects. We want to see how your background fits with what we do!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and algorithms, and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Research Experience:Since research experience is key for this role, make sure to include any relevant projects, papers, or conference presentations. We love seeing how you've applied your knowledge in real-world scenarios, so don't hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Cambridge Consultants
✨Know Your Stuff
Make sure you brush up on your AI and algorithms knowledge. Be ready to discuss your PhD research and how it relates to real-world applications. Familiarise yourself with the latest trends in AI, especially those relevant to the projects they’re working on.
✨Show Off Your Coding Skills
Since strong Python programming skills are a must, practice coding problems that might come up during the interview. You could even prepare a small project or two to showcase your hands-on experience with model training and testing.
✨Communicate Clearly
You’ll need to explain complex concepts to both technical and non-technical audiences. Practice summarising your work and findings in simple terms. This will help demonstrate your ability to communicate effectively with colleagues and clients.
✨Be Ready for Teamwork
This role involves working in mixed-discipline teams, so be prepared to discuss your experience collaborating with others. Think of examples where you contributed to team projects, attended stand-ups, or participated in planning sessions, and be ready to share those stories.
