Machine Learning Engineer at Zaizi

Compensation

£75,000/yr

Setup: Hybrid
Location: Cheltenham, England
Type: Full-time
Posted: Jan 16, 2026

Description

Zaizi is seeking a Machine Learning Engineer specializing in AI to develop and implement advanced AI algorithms and models for public sector projects. The role involves building complex models, managing MLOps pipelines, mentoring junior staff, and addressing technical challenges. The ideal candidate will possess strong technical expertise in machine learning, demonstrate a deep understanding of ML algorithms and frameworks, and contribute to impactful work within the National Security Domain.

Required Skills

Machine Learning
Generative AI
MLOps Pipelines
CI/CD

Additional Information

Required Previous Experiences: Proven experience in building, deploying, and managing complex machine learning models.
Preferred Qualifications: Broad technical expertise in machine learning, demonstrating a deep understanding of various ML algorithms, frameworks, and best practices.
Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research.
Systematically discovers and evaluates new generative AI technologies for business relevance, feasibility and relevance within the National Security Domain.
Deliver complex, high-risk proofs of concept that test new AI applications.
Serves as the primary source of expertise for generative AI within the organization.
Applies a range of data science techniques to support model development.

About Zaizi

Zaizi

public sectorLondon

Zaizi helps public sector organisations design, build and sustain user-centred, secure digital services. Its sectors include Border Security, Public Safety & Security and Central Government. The company solves problems with digital solutions, offering capabilities including strategy, service design, product management, user research, agile leadership, automation, engineering, architecture, cloud services and support.

Who they serve

Zaizi serves public sector organisations, including those in Border Security, Public Safety & Security and Central Government.

Customers and case studies

See customers and case studies