Graduate Machine Learning Engineer, AI

Zaizi

Graduate Machine Learning Engineer working on public sector projects at Zaizi. Collaborating with a small team, researching and developing machine learning models for UK government applications.

Posted 7/20/2026full-timeCheltenham • 🇬🇧 United KingdomEntry Level💰 £40,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates foundational knowledge in Machine Learning Algorithms and Frameworks, with a strong emphasis on Model Research and Evaluation. Capable of translating academic findings into practical applications within the public sector, while continuously learning and adapting to new AI technologies.

Highest-signal resume keywords

Machine Learning AlgorithmsModel Research & EvaluationApplied AI ResearchData Science TechniquesPrototyping

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Hard Skills

Machine LearningSoftware EngineeringModel EvaluationGenerative AIAdversarial AIData SciencePrototypingResearch SkillsTechnical ExpertiseContinuous Learning

Soft Skills

Growth MindsetTeam FitQuick LearnerCollaborationCommunication

Industry Keywords

Public SectorAI CapabilitiesUK GovernmentEmerging TechnologiesPractical Application

About the role

Key responsibilities & impact

Work on exciting public sector projects and make a positive difference in people’s lives.
As a Graduate Machine Learning Engineer, you’ll start building the skills to research machine learning models and evaluate how they can be applied within our specialist domain.
Work alongside and learn from a small team who deliver AI capabilities for the UK government.
Bring a foundation in software engineering from your degree alongside your ML knowledge.
Get hands-on with research, experiment under guidance, and see how new approaches translate into practical capability for our customers.
Work closely with, and be mentored by, a small, high-performing team of engineers and researchers, contributing ideas and building new skills as you go.

Requirements

What you’ll need

Model Research & Evaluation: Support research into emerging machine learning models and techniques, and help assess how they could be applied within our specialist domain.
Applied AI Research: Help turn research into practical proofs of concept, exploring generative, adversarial and other AI approaches.
Domain Application: Work with the team to build an understanding of our customers' problems and start translating ML capability into solutions that fit their specialist domain.
Continuous Learning: Keep pace with the fast moving field of AI building knowledge across different model types and techniques and sharing what you learn with the team.
Technical Expertise: Understanding of machine learning algorithms and frameworks with a foundational grounding in software engineering practices, typically gained through a relevant degree, bootcamp or personal projects, plus a genuine curiosity about how ML models work.
Research Skills: Comfortable reading academic ML papers and keen to develop the skill of translating findings into practical ideas worth testing.
Technology Implementation: An interest in evaluating new AI technologies, generative, adversarial or otherwise, and how they might be relevant and feasible within the UK Government domain.
Prototyping: Enjoy building proofs of concept, and keen to learn how research bridges the gap into real-world application.
Growth Mindset: Keen to learn from the team and build towards becoming a trusted voice on the practical application of AI within the organisation over time.
Data Science: An interest in applying data science techniques to support model research, evaluation, and refinement.
Team Fit: A quick learner who's easy to work with, and will slot naturally into a close-knit, high-performing team.

Benefits

Comp & perks

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.
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.
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.
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.
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.