Overview

Work on impactful public sector and mission-critical digital projects that make a positive difference to people’s lives. This organisation specialises in solving complex technical challenges using modern tools, emerging technologies, and innovative thinking.

As a Machine Learning Engineer (AI), you will research, develop, and test advanced AI algorithms, models, and technologies that enable organisations to automate processes and extract meaningful insights from data.

You will build complex machine learning models, design and manage MLOps pipelines, and ensure models remain performant, secure, and scalable in production environments. The role also includes mentoring junior team members, influencing technical decisions, and solving complex, non-routine technical problems.

The culture is inclusive, collaborative, and innovation-driven. The organisation values proactive, positive-thinking individuals who enjoy tackling technical challenges

Role Objectives

Model Development and Delivery

Design, build, test, and deploy complex machine learning models

Select appropriate modelling approaches for product and service use cases

Ensure models meet performance, scalability, and quality standards

MLOps and Deployment

Design and manage robust MLOps pipelines, including CI/CD processes

Implement monitoring, retraining, and lifecycle management

Deploy models into production environments and validate performance

Ensure models remain safe, secure, and effective in live systems

Advanced Technical Problem Solving

Act as a subject matter expert for complex, non-routine machine learning challenges

Develop innovative solutions to high-risk or ambiguous problems

Customise, optimise, retrain, and maintain existing models

Integration and Collaboration

Work cross-functionally to integrate machine learning models into existing systems

Collaborate with engineers, data scientists, and technical stakeholders

Ensure production systems meet reliability and security standards

Requirements

Broad expertise in machine learning algorithms, frameworks, and best practices

Experience planning and conducting research activities within AI or generative AI domains

Ability to evaluate emerging AI technologies for business relevance and feasibility

Experience delivering complex proofs of concept and experimental prototypes

Recognised technical authority within AI or generative AI

Strong data science capability supporting model development

Proven experience building, deploying, and managing complex machine learning systems

Inclusion Statement

Candidates are encouraged to apply even if they do not meet every requirement. The organisation values diversity and welcomes applications from individuals across all backgrounds, including underrepresented communities.

Reasonable adjustments can be made throughout the recruitment process to support individual needs.

Security Requirements

This role requires eligibility for government-level security clearance. Candidates must have the legal right to work in the UK without sponsorship and meet residency requirements for clearance eligibility.

Benefits

Compensation

Competitive salary reviewed annually

Employer pension contribution starting at 5%, increasing with tenure

Group Life Assurance

Purpose and Culture

Work on mission-critical digital infrastructure projects

Empowered, innovation-driven culture

Paid leave for reservist military service (where applicable)

Work and Life Balance

25 days annual leave plus bank holidays

Option to buy or sell leave

Two paid volunteering days per year

Development and Growth

Fully funded professional certifications

Paid study leave

Annual personal development allowance

Access to coaching and professional training

Health and Wellbeing

Private medical insurance

Hybrid working with home office allowance

Cycle to Work scheme