Machine Learning Engineer, AI

Zaizi

Machine Learning Engineer researching and applying AI techniques within public sector projects. Collaborating with a team to deliver AI solutions for the UK government.

Posted 7/20/2026full-timeCheltenham • 🇬🇧 United KingdomMid-LevelSenior💰 £60,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning model research and evaluation, with a strong proficiency in Python and experience in applying AI techniques within the public sector. Capable of building proof of concept applications and collaborating effectively within a high-performing team.

Highest-signal resume keywords

Machine Learning ResearchPython ProgrammingML Frameworks (Pytorch)Data Science TechniquesVersion Control (Git)

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsGenerative AI TechniquesAdversarial AI TechniquesAdvanced PrototypingData ScienceModel EvaluationAI Technology EvaluationSoftware Engineering PracticesCloud Platforms (AWS, Azure, GCP)Systems/Backend Languages (Rust, C++)

Soft Skills

Continuous LearningTeam CollaborationAdaptabilityProblem-SolvingCommunication

Tools & Technologies

PytorchDockerGitJavaScriptReact

Industry Keywords

Public Sector ProjectsAI CapabilitiesProofs of ConceptSpecialist DomainMachine Learning Techniques

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptPythonPyTorchReactRust

About the role

Key responsibilities & impact

Work on exciting public sector projects and make a positive difference in people’s lives.
Research machine learning models and evaluate their application within the specialist domain.
Collaborate with a small team to deliver AI capabilities for the UK government.
Keep learning about various AI techniques such as classical ML, generative, and adversarial methods.
Experiment with new approaches and translate them into practical capabilities.

Requirements

What you’ll need

Model Research & Evaluation: Research emerging machine learning models and techniques, and assess how they could be applied within our specialist domain.
Applied AI Research: Turn research into practical proofs of concept, exploring generative, adversarial and other AI approaches.
Domain Application: Work with the team to understand our customers problems in depth and translate 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.
Research Skills: Comfortable reading and evaluating ML research and translating findings into practical ideas worth testing.
Technology Implementation: Ability to evaluate new AI technologies generative, adversarial or otherwise for relevance and feasibility within the UK Government Domain.
Advanced Prototyping: Ability to build proof of concept applications that bridge the gap between initial research and real-world application.
Specialist Advice: Keen to grow into a technical resource for the practical application of AI within the organisation, sharing knowledge as your expertise builds.
Data Science: 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.
Technical Expertise: Solid understanding of machine learning algorithms and frameworks with a general grounding in software engineering practices and a genuine curiosity about how ML models work.
Python: Strong proficiency and hands-on programming experience in Python are required.
ML Frameworks: Practical experience working with machine learning frameworks (e.g. Pytorch) to build, train, evaluate, and deploy models.
Version Control: Proficiency with Git for version control and collaborative development is required.
Containerisation: Familiarity with Docker is required to package, deploy, and run applications across environments.
Frontend Development: Experience with frontend technologies, specifically JavaScript and React, to help build interactive user interfaces for our prototypes (nice to have).
Cloud Services: Experience working with cloud platforms (e.g., AWS, Azure, GCP) (nice to have).
Systems/Backend Languages: Familiarity with other languages used for high-performance backend or ML workloads, such as Rust or C++ (nice to have).

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.