Machine Learning Implementation Engineer, AI (SFIA4)

Role Overview

Dept: Applied AI Team

Term: Permanent

Location: Cheltenham

DV Clearance: Required & British

• 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.
• 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!

Requirements

Role Objectives

• 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.

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.

Benefits

Compensation

• Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value.
• Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8% .
• Protection: Comprehensive Group Life Assurance for peace of mind.

Purpose & Culture

• Real Impact: Work on mission-critical projects that secure and improve the UK's digital infrastructure.
• Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success.
• Service & Community: We support those who serve. 10 paid days for Reservist Military Service.

Work / Life Balance

• Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle.
• Giving back: 2 paid volunteering days per year.

Development & Growth

• Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave .
• Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you—work-related or not.
• Support: Access to 1-2-1 professional coaching and team training to accelerate your career.

Health & Balance

• Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards).
• Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup.
• Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.

For further information contact: [email hidden]