Senior R&D Engineer
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Role Overview
Kaze Consulting is growing, driven by rising demand from clients who want to move beyond the promise of AI and apply it to solve complex, real-world problems that matter.
We are seeking a highly motivated and innovative Senior R&D Engineer to drive advancements across AI, Cyber Security, and Data Science. This role will focus on developing cutting-edge solutions, transitioning early-stage research into practical applications, and contributing to the organisation’s research leadership and commercial success.
Key Responsibilities
- Lead and contribute to research and development initiatives across AI, Cyber Security, and Data Science domains
- Collaborate closely with the wider data and engineering teams to design, test, and validate innovative solutions
- Support business development and bid writing by providing technical insights, research direction, and innovation-led contributions
- Drive the maturation of solutions through Technology Readiness Levels (TRL), from early-stage concepts (TRL1) to validated prototypes and demonstrators (TRL7)
- Disseminate research findings through academic publications, industry conferences, whitepapers, and technical forums
- Stay abreast of emerging trends, technologies, and academic research in relevant domains to inform innovation strategy
Core Skills & Competencies
- Strong technical breadth with familiarity across full-stack development
- Solid understanding of computer science research methodologies, including experimental design, evaluation, and validation
- Experience in applying theoretical knowledge to real-world, applied research challenges
- Ability to translate early-stage research towards scalable, production-ready solutions
- Strong analytical thinking, problem-solving, and communication skills
- Capability to work both independently and collaboratively within multidisciplinary teams
Experience Required
- Demonstrated experience in an applied research or R&D-focused role
- Proven track record of contributing to or authoring academic publications, technical reports, or equivalent outputs
- Experience delivering innovation within industry or commercial environments is highly desirable
Qualifications
- Bachelor’s degree in Computer Science or a closely related field (required)
- Master’s degree in Artificial Intelligence, Cyber Security, Data Science, or a related discipline (required)
- PhD in Computer Science or a relevant technical field (strongly preferred)
- Must either already hold or be eligible and willing to undertake Security Clearance
If you’re motivated by challenging work, inspired by the potential of AI, and want to be part of a team shaping how it is applied in the real world, we’d like to hear from you at hello@kaze-consulting.com