hackajob is collaborating with Zaizi to connect them with exceptional professionals for this role.

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.