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For Companies At a Glance
- Tasks: Lead innovative AI research projects and develop cutting-edge prototypes.
- Company: Join a leading European R&D centre at the forefront of technology and innovation.
- Benefits: Enjoy flexible working, a collaborative culture, and opportunities for professional growth.
- Why this job: Make a real impact by blending theory with practical applications in AI and decentralised systems.
- Qualifications: Proven experience in AI research, strong programming skills, and a relevant academic background.
- Other info: Engage with industry events and contribute to the global AI community.
The predicted salary is between 43200 - 72000 £ per year.
Reading region office x3 days a week
About the Company
We’re working with a world-renowned innovation hub operating at the cutting edge of mobility, energy, and digital ecosystems. This European R&D centre is part of a global organisation known for advancing intelligent technology solutions that blend engineering excellence with forward-thinking research. The company fosters a collaborative and inclusive culture, offering flexible working and the opportunity to be part of a pioneering team shaping next-generation AI and decentralised technologies.
About the Role
This is an exciting opportunity for an experienced AI researcher to join a multidisciplinary innovation lab focused on the intersection of artificial intelligence, decentralised systems, and human-centric design. You’ll take the lead on applied research projects, building out proof-of-concept applications and AI-driven prototypes that are envisioned to power future global products and platforms.
Working in an environment where academia meets industry, you’ll be expected to guide the technical direction of AI initiatives, manage collaborative research efforts, and bridge the gap between emerging technologies and real-world applications. If you’re someone who thrives on blending cutting-edge theory with practical experimentation, this is your chance to make an impact.
Requirements
- A proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners.
- In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends.
- A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI, or a related field (postgraduate qualifications such as a PhD or Master’s are a plus).
- Ability to clearly articulate complex technical concepts to a variety of audiences, including non-specialists.
- Solid understanding of how to adapt ML techniques to specific industry challenges and business-driven problems.
- Strong programming and prototyping skills, especially useful when building demonstrators or PoCs to validate research outputs.
- A proactive mindset and the ability to operate autonomously while contributing to a broader team mission.
- Confident in engaging with stakeholders, managing expectations, and driving projects through to delivery.
- Ideally, experience applying AI in a commercial or customer-focused environment.
- Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems.
- Familiarity with research publishing processes and participation in academic or industry conferences.
Responsibilities
- Leading research initiatives that explore the practical application of AI within decentralised and connected systems.
- Designing and developing prototype tools or applications that demonstrate how AI can be embedded in next-generation products and services.
- Collaborating with internal teams to integrate AI capabilities into broader technical concepts and cross-domain research.
- Communicating findings and methodologies effectively to technical and non-technical stakeholders, including senior management.
- Keeping current with AI advancements, feeding new ideas and trends into ongoing project discussions and strategy.
- Identifying and proposing new project opportunities based on technology trends and market relevance.
- Representing the research lab at industry events, seminars, and workshops both in Europe and globally.
- Supporting the publication of research papers and participating in the wider technical ecosystem.
If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).
AI Researcher employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Researcher
✨Tip Number 1
Network with professionals in the AI and machine learning fields. Attend industry events, seminars, and workshops to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what the company values and how you can align your skills with their needs.
✨Tip Number 2
Showcase your hands-on experience with AI applications by creating a portfolio of projects. Highlight any prototypes or proof-of-concept applications you've developed, especially those that demonstrate your ability to solve real-world problems. This practical evidence can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the company's recent research publications and projects. Understanding their current focus areas will allow you to tailor your discussions during interviews, demonstrating your genuine interest and knowledge about their work.
✨Tip Number 4
Prepare to articulate complex technical concepts clearly. Practice explaining your past projects and research in a way that is accessible to non-specialists. This skill is crucial for engaging with diverse stakeholders and will be highly valued in the collaborative environment at the company.
We think you need these skills to ace AI Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning, especially any cross-functional research projects you've managed. Emphasise your programming skills and any relevant academic qualifications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's focus on decentralised systems and human-centric design. Mention specific projects or experiences that demonstrate your ability to bridge theory and practical application.
Showcase Your Communication Skills: Since the role requires articulating complex concepts to various audiences, include examples in your application of how you've successfully communicated technical information to non-specialists or stakeholders.
Highlight Relevant Experience: If you have experience in a commercial or customer-focused environment, make sure to highlight this in your application. Discuss any hands-on knowledge in areas like signal processing or reinforcement learning that could be relevant to the role.
How to prepare for a job interview at Xcede
✨Showcase Your Project Management Skills
Be prepared to discuss your experience managing cross-functional research projects. Highlight specific examples where you collaborated with both internal and external partners, as this is crucial for the role.
✨Demonstrate Technical Expertise
Make sure to articulate your in-depth knowledge of AI and machine learning approaches. Be ready to discuss current developments and future trends in the field, as well as how you've applied these in practical scenarios.
✨Communicate Complex Concepts Clearly
Practice explaining complex technical concepts in simple terms. This will be important when engaging with non-specialists or stakeholders who may not have a technical background.
✨Prepare for Prototyping Discussions
Since the role involves building proof-of-concept applications, be ready to talk about your programming and prototyping skills. Share examples of demonstrators or PoCs you've developed to validate research outputs.
