At a Glance
- Tasks: Research and evaluate cutting-edge AI technologies to influence strategic decisions.
- Company: Join a forward-thinking company shaping the future of AI innovation.
- Benefits: Enjoy a competitive salary, flexible working, and generous holiday allowance.
- Other info: Collaborative environment with clear progression into senior roles.
- Why this job: Make a real impact on AI innovation and shape technology strategies.
- Qualifications: 2+ years in a technical role with strong coding skills in Python or C#.
The predicted salary is between 36000 - 60000 £ per year.
Shape the Future of AI Innovation. Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You will explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.
About the Role: We are building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams. As an AI Research Engineer / Analyst (R&D), you will generate the technical evidence that supports strategic decisions. You will research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a "developer" role), and produce clear, decision-ready outputs. This is not a BAU delivery role. It is structured, evidence-led innovation. You will report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.
Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)
Location: North East. Hybrid office work / flexible. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!
What You Will Do:
- Research & Evaluation: Scan the market for emerging AI, orchestration, and automation technologies. Conduct structured vendor and platform evaluations. Assess technical fit, integration complexity, security posture, cost, and viability. Stay current with LLMs, AI APIs, frameworks, and cloud services. Produce concise evidence packs and recommendation summaries.
- Hands-On Prototyping: Build lightweight PoCs to validate APIs and technical hypotheses. Explore AI capabilities practically (model behaviour, integration patterns, performance limits). Contribute Python and/or C# code under technical direction. Focus: validation and insight — not production-grade implementation.
- Documentation & Process: Own R&D documentation, decision logs, and handover packs. Maintain backlog discipline and enforce stage-gate standards. Ensure findings are captured clearly and nothing falls through the cracks.
What You Will Bring:
- Essential: 2+ years in a technical analyst, research, or solutions-focused role. Hands-on coding ability in Python and/or C#. Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations). Strong analytical thinking and structured evaluation skills. Excellent written communication — clear, concise, decision-ready outputs. Self-directed working style with confident stakeholder engagement. Familiarity with workflow orchestration / BPMN fundamentals.
- Desirable: Experience building AI-integrated applications. API and cloud platform exposure. Vendor/technology selection experience. Knowledge of process automation or orchestration platforms.
What Success Looks Like: Within your first 90 days, you will have contributed to live evidence packs, helped standardise R&D evaluation templates, and supported an initiative through to handover-ready recommendation. Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.
Why Join: Direct exposure to cutting-edge AI and automation. Real influence over technology decisions. Clear progression into Senior R&D or specialist AI roles. Close collaboration with Architecture, Engineering, and Product. We are looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise. Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.
AI Research Analyst (R&D) in Sunderland employer: hireful
Join a forward-thinking company that prioritises innovation and employee growth, offering a unique opportunity to work as an AI Research Analyst in the vibrant North East. With a flexible hybrid working model, competitive salary, and comprehensive benefits including a matched pension scheme and private health plan, you'll thrive in a culture that values curiosity and structured R&D. Collaborate closely with experts in the field while shaping the future of AI technology and advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Analyst (R&D) in Sunderland
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and R&D space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio of your projects, especially those involving Python or C#. Share your findings and prototypes online to demonstrate your hands-on experience with AI technologies.
✨Tip Number 3
Prepare for interviews by diving deep into the latest AI trends and tools. Be ready to discuss how you’ve evaluated vendors or built proofs of concept, as this will show you’re not just a theorist but someone who can contribute to our innovation roadmap.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Research Analyst (R&D) in Sunderland
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and automation shine through. We want to see that you're genuinely excited about exploring new technologies and how they can shape the future.
Be Clear and Concise:We love a good, straightforward application! Make sure your written communication is clear and to the point. Highlight your relevant experience and skills without waffling on — we appreciate brevity!
Tailor Your Application:Don’t just send a generic application. Take the time to tailor it to the role of AI Research Analyst. Mention specific skills like your coding abilities in Python or C#, and how they relate to the responsibilities outlined in the job description.
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 that you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at hireful
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and automation technologies. Familiarise yourself with LLMs, APIs, and the current landscape. Being able to discuss these topics confidently will show that you're not just a candidate, but someone who genuinely understands the field.
✨Showcase Your Coding Skills
Since hands-on coding in Python and/or C# is essential for this role, be prepared to discuss your previous projects or experiences where you've used these languages. Bring examples of lightweight proofs of concept you've built, as this will demonstrate your practical skills and problem-solving abilities.
✨Prepare Evidence Packs
Get ready to talk about how you would create concise evidence packs and recommendation summaries. Think about how you can structure your findings clearly and effectively, as this is a key part of the role. Practising this will help you articulate your thoughts during the interview.
✨Engage with Stakeholders
This role requires confident stakeholder engagement, so think about how you can demonstrate your communication skills. Prepare examples of how you've successfully collaborated with others in the past, and be ready to discuss how you would approach working with different teams in this new position.
