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For Companies At a Glance
- Tasks: Build intelligent systems and solve real-world problems with cutting-edge AI technology.
- Company: Join a leading tech firm known for innovation and collaboration.
- Benefits: Competitive salary, hands-on experience, and access to state-of-the-art labs.
- Other info: Exciting projects with excellent career growth opportunities await you.
- Why this job: Make a real impact in AI while developing your skills in a dynamic environment.
- Qualifications: PhD in a relevant field and strong Python programming skills.
The predicted salary is between 30000 - 40000 £ per year.
The Role
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 programmes, 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) in Cambridge employer: Cambridge Consultants
Contact Detail:
Cambridge Consultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Graduate AI & Algorithms Engineer (2026 start) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and algorithms space. 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 your personal 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 get comfortable talking about your work!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Tailor your application to highlight how your skills align with the role – it makes a difference!
We think you need these skills to ace PhD Graduate AI & Algorithms Engineer (2026 start) in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the PhD AI & Algorithms Engineer role. Highlight your strong Python programming skills and any relevant research experience to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applying AI and algorithmic techniques to real-world problems. Show us your enthusiasm for the role and how you can contribute to our team.
Showcase Your Projects: If you've worked on any interesting projects, especially those involving AI or machine learning, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
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, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any projects where you've applied your coding skills in a practical context.
✨Communicate Clearly
You’ll need to explain complex concepts to both technical and non-technical audiences. Practice summarising your research and projects in simple terms. Think about how you can showcase your ability to communicate effectively during the interview.
✨Be Ready for Teamwork
This role involves working in mixed-discipline teams, so be prepared to discuss your experience collaborating with others. Share examples of how you’ve contributed to team projects and how you handle feedback and planning sessions. Show that you’re a team player!