Work on exciting public sector projects and make a positive difference in people’s lives. At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech.
Talk to our team member directly responsible for this job role for further details and requirements.
As a Machine Learning Implementation Engineer, you’ll be responsible for taking AI models and algorithms from the research phase and maturing them into robust, production-ready software. Your focus is on increasing the Technology Readiness Level (TRL) of our AI solutions, ensuring they are scalable, reliable, and effectively integrated into business workflows to automate tasks and gain insights from data.
Key responsibilities include refining model code for performance, ensuring software maturity, and solving complex technical hurdles during the transition from prototype to product. You will influence technical decisions within the team, mentor junior members, and handle complex, non routine problems. Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive-thinking individuals with a can-do attitude. Our people enjoy challenging themselves to be the best at what they do – if that sounds like you, you’ll fit right in!
Nationality
Due to UK government security restrictions, you will need to be a British Citizen and have been resident in the UK for the last ten years to apply for this role.
These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate.
• Model Maturation & Delivery: Design, build, and refactor complex machine learning models, ensuring they move from experimental stages to high-quality, high-performance production software.
• Software Engineering for AI: Take the output from research activities and “harden” the software to achieve higher TRLs suitable for deployment in the National Security Domain.
• System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance.
• Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high- performance execution on edge hardware, including Android-based mobile devices.
• Technical Excellence: Stay current with AI implementation best practices to ensure our solutions are maintainable and scalable. Skills & Experience
• Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices.
• Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready software.
• Technology Implementation: Ability to evaluate new generative AI technologies for business relevance and feasibility, focusing on practical implementation within the National Security Domain.
• Advanced Prototyping: Delivering robust proofs of concept that bridge the gap between initial research and final application.
• Specialist Advice: Serving as a key technical resource for the practical application of generative AI within the organization.
• Data Science: Applying a range of data science techniques to support model refinement and software hardening.
• Deployment Experience: Proven experience in building and deploying complex machine learning models into live environments.
Key responsibilities include refining model code for performance, ensuring software maturity, and solving complex technical hurdles during the transition from prototype to product. You will influence technical decisions within the team, mentor junior members, and handle complex, non routine problems. Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive-thinking individuals with a can-do attitude. Our people enjoy challenging themselves to be the best at what they do – if that sounds like you, you’ll fit right in!
Compensation
Purpose & Culture
Work / Life Balance
Development & Growth
Health & Balance
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Talk to our team member directly responsible for this job role for further details and requirements.
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