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- Tasks: Design, develop, and optimise AI workflows while collaborating with researchers and stakeholders.
- Company: Join REED Technology, a leader in AI innovation shaping the future of technology in the UK.
- Benefits: Enjoy hybrid working, flexibility to travel, and the chance to work with cutting-edge AI machines.
- Why this job: Be at the forefront of AI research, making a national impact while mentoring a specialist team.
- Qualifications: Strong AI/ML development experience, coding skills, and excellent communication abilities required.
- Other info: Permanent role with opportunities for growth; DBS check required.
AI Research Engineer
Do you have the following skills, experience and drive to succeed in this role Find out below.
£(phone number removed)
Hybrid working, flexibility to travel
REED Technology are working with a client seeking an exceptional AI Research Engineer to take on a pivotal role in shaping the future of Artificial Intelligence in the UK. This position is at the heart of a national initiative, working not only with academic but also with commercial organisations and research bodies, to harness the power of the largest AI machines in the country.
This is a varied and high-impact role, with responsibilities spanning:
Hands-on technical work – designing, developing, and optimising AI workflows and machine learning systems.
Outreach & collaboration – running seminars, training sessions, and engaging with academic, public sector, and commercial stakeholders.
Leadership – guiding a small specialist team of engineers (though this is a smaller element of the role compared to technical delivery).You will be at the forefront of delivering services and solutions that enable world-leading researchers and organisations to exploit cutting-edge AI at scale.
Key Responsibilities
Lead technical development on AI workflows, optimisation, and large language models (LLMs).
Collaborate with researchers, industry partners, and non-technical stakeholders to understand needs and deliver effective AI solutions.
Provide outreach and training, helping users across the UK to make the most of advanced AI resources.
Play a hands-on role in coding, testing, and optimising AI applications in high-performance computing environments.
Contribute to the design and delivery of strategic roadmaps for AI research infrastructure.
Support and mentor a team of software engineers, ensuring high standards of technical excellence.This role is ideal for someone who has worked solidly in AI and machine learning and is now looking to apply their expertise on a national stage.
Essential experience and skills:
Strong track record in AI/ML development and workflows.
Proven ability to design and optimise workflows for large-scale systems.
Solid hands-on coding experience (C/C++, Fortran, or similar) with complex, scalable systems.
Experience with HPC environments and parallelisation techniques (MPI, OpenMP).
Excellent communication skills, with the ability to work confidently with technical and non-technical audiences.
Experience engaging with a range of stakeholders, from academic researchers to commercial partners.Desirable experience:
Knowledge of heterogeneous parallel programming (CUDA, OpenCL, SYCL).
Familiarity with LLMs and their applications.
Experience delivering training, seminars, or public engagement activities.
What\’s on Offer
Permanent role with excellent opportunities to shape the future of UK AI research and innovation.
Hybrid working policy (1/2days a month to various sites)
The chance to work with the largest AI machines in the UK and contribute to projects with national and international impact.The successful candidate will be required to undergo a Disclosure and Barring Service (DBS) check as part of the pre-employment service.
Applicants must also have full rights to work in the UK; visa sponsorship is not available for this position.
If you are interested in this role and have relevant experience, please apply using the link provided
AI Development Specialist employer: Reed Technology
Contact Detail:
Reed Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Development Specialist
✨Tip Number 1
Network with professionals in the AI and machine learning fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and mentors who can provide insights into the role and the company culture.
✨Tip Number 2
Showcase your hands-on coding experience by contributing to open-source AI projects or creating your own. This not only demonstrates your technical skills but also your passion for AI development, which can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with high-performance computing environments and parallelisation techniques during interviews. Be ready to share specific examples of how you've optimised workflows or solved complex problems in previous roles.
✨Tip Number 4
Familiarise yourself with the latest trends and advancements in AI, particularly around large language models. Being knowledgeable about current developments will help you engage effectively with both technical and non-technical stakeholders.
We think you need these skills to ace AI Development Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning. Focus on specific projects where you've designed or optimised workflows, and include any relevant coding languages like C/C++ or Fortran.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI research and innovation. Mention how your skills align with the responsibilities of the role, particularly in outreach and collaboration with various stakeholders.
Showcase Communication Skills: Since excellent communication is essential for this role, provide examples in your application of how you've successfully engaged with both technical and non-technical audiences in past experiences.
Highlight Leadership Experience: If you have experience mentoring or leading teams, be sure to include this in your application. Even if it's a smaller part of your experience, it shows your capability to guide others while delivering technical solutions.
How to prepare for a job interview at Reed Technology
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on coding experience in languages like C/C++ or Fortran. Highlight specific projects where you've designed and optimised AI workflows, as this role requires a strong technical foundation.
✨Demonstrate Collaboration Experience
Since the role involves working with various stakeholders, share examples of how you've successfully collaborated with both technical and non-technical audiences. This will show your ability to engage effectively across different sectors.
✨Prepare for Outreach Scenarios
Think about how you would approach running seminars or training sessions. Be ready to discuss any past experiences in public engagement or training, as this is a key responsibility of the position.
✨Discuss Leadership and Mentoring
Even though technical delivery is the main focus, the role includes guiding a small team. Prepare to talk about any leadership or mentoring experiences you've had, and how you ensure high standards of technical excellence within a team.
