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 peoples
lives. At Zaizi we thrive on solving complex challenges through creative thinking
and the latest tools and tech.
As a Machine Learning Implementation Engineer youll 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 youll fit right
in!

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.

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 amaximum 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 UKs 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 daysfor 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 by5 days paid study leave.
• Expand Your Horizons:An additional 500 annual Personal Choice fund to learn whatever inspires youwork-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:

Required Experience:

IC