AI Researcher

AI Researcher

Slough Full-Time 48000 - 84000 £ / year (est.) No home office possible
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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, collaboration, and the chance to shape future technologies.
  • Why this job: Make a real impact by blending theory with practical applications in a dynamic environment.
  • Qualifications: Degree in Computer Science or related field; experience in AI and machine learning is essential.
  • Other info: Opportunity to represent the lab at global events and contribute to published research.

The predicted salary is between 48000 - 84000 £ per year.

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.

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 niall.wharton@Xcede.com (feel free to include a CV for review).

AI Researcher employer: Xcede

As a leading employer in the heart of Reading, our company offers an exceptional work environment that champions innovation and collaboration. With flexible working arrangements and a strong focus on employee growth, we empower our team to explore cutting-edge AI technologies while contributing to meaningful projects that shape the future of mobility and energy. Join us to be part of a diverse and inclusive culture where your ideas are valued, and you can thrive both personally and professionally.
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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 leaders in the sector. This can help you gain insights into the company culture and the specific skills they value.

✨Tip Number 2

Stay updated on the latest trends and advancements in AI and decentralised systems. Follow relevant publications, blogs, and thought leaders on social media to ensure you can discuss current developments during interviews and demonstrate your passion for the field.

✨Tip Number 3

Prepare to articulate your previous research projects clearly, focusing on how they relate to real-world applications. Be ready to discuss your approach to problem-solving and how you've successfully collaborated with cross-functional teams in the past.

✨Tip Number 4

Familiarise yourself with the company's existing products and services, especially those that incorporate AI. Understanding their current offerings will allow you to propose innovative ideas and demonstrate how your expertise can contribute to their future projects.

We think you need these skills to ace AI Researcher

AI and Machine Learning Expertise
Cross-Functional Project Management
Prototyping Skills
Programming Proficiency
Technical Communication
Stakeholder Engagement
Signal Processing Knowledge
Reinforcement Learning
Neural Network Training
Multi-Agent Systems
Research Publishing Experience
Adaptability to Industry Challenges
Collaboration in Multidisciplinary Teams
Understanding of Decentralised Systems

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 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 in previous roles.

Highlight Research Contributions: If you have published research papers or participated in conferences, make sure to mention these in your application. This shows your engagement with the academic community and your commitment to staying current with AI advancements.

How to prepare for a job interview at Xcede

✨Showcase Your Technical Expertise

Be prepared to discuss your in-depth knowledge of AI and machine learning. Highlight specific projects where you've applied these techniques, especially in a commercial context, to demonstrate your ability to adapt ML methods to industry challenges.

✨Communicate Clearly

Practice articulating complex technical concepts in simple terms. Since you'll be engaging with both technical and non-technical stakeholders, being able to explain your work clearly is crucial for success in this role.

✨Demonstrate Collaborative Skills

Prepare examples of how you've successfully managed cross-functional research projects. Emphasise your experience working with internal and external partners, showcasing your ability to lead collaborative efforts effectively.

✨Stay Current with AI Trends

Research the latest advancements in AI and be ready to discuss how they could influence future projects. Showing that you're proactive about keeping up with industry trends will reflect your commitment to innovation and continuous learning.

AI Researcher
Xcede
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  • AI Researcher

    Slough
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-05-24

  • X

    Xcede

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