Lead Machine Learning Engineer, AI

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 EngineerAI youll be responsible for researching developing and testing new AI algorithms models and technologies that businesses can use to automate tasks and gain insights from their data.

Key responsibilities include building complex models designing and managing MLOps pipelines for CI/CD monitoring and model retraining. Mentoring junior members influencing technical decisions within the team and handling 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 Development & Delivery: Design build test and deploy complex machine learning models ensuring high standards of quality performance and scalabilityDecide what model is most suitable for use in products and services
• MLOps Pipeline Management: Design and manage robust MLOps pipelines including continuous integration/continuous delivery (CI/CD) monitoring and model retraining to ensure efficient and reliable model deployment and operation
• Advanced Problem Solving: Act as a technical expert for complex non-routine technical challenges within machine learning developing and implementing innovative and effective solutions
• Customise optimise re-train and maintain existing models
• Deploy models into production testing and assuring them to ensure they meet performance requirements
• Work with others to integrate models with existing systems
• Check that models used in live products and services stay safe secure and continue to work effectively

Requirements

• Broad technical expertise in machine learning demonstrating a deep understanding of various ML algorithms frameworks and best practices.
• Research. Plans and directs and carries out research activities acting as a subject matter expert in generative AI research.
• Emerging Technology Monitoring. Systematically discovers and evaluates new generative AI technologies for business relevance feasibility and relevance within the National Security Domain.
• Prototyping. Delivers complex high-risk proofs of concept that test new AI applications.
• Specialist Advice. Serves as the primary source of expertise for generative AI within the organization.
• Data Science. Applies a range of data science techniques to support model development.
• Proven experience in building deploying and managing complex machine learning models.

You dont meet all the requirements

Studies show that women and black Asian and minority ethics people are less likely to apply for a job unless they meet every qualification. So if youre excited about this role but your experience doesnt align perfectly with the job description wed love you to still apply. You might just be the perfect person for this role or another role here at Zaizi.

We actively welcome applications from people of colour the LGBTQ community individuals with disabilities neurodivergent individuals parents carers and those from lower socio-economic backgrounds.

If you need any accommodations to support your specific situation please feel free to let us know. For candidates who are neurodiverse or have disabilities we are happy to make any adjustments needed throughout the interview processjust ask!

Security

This role requires eligibility for UK Government Security Clearance. This currently means candidates must have the right to work in the UK without sponsorship and have lived in the UK continuously for the last 5 years.

Up to 75k

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 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 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 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:

Nat Hinds: Head of Talent

Kayla Kirby: Talent Acquisition Specialist

Required Experience:

IC