3 months ago
Cheltenham, United KingdomMid Level
Responsibilities
- Research and evaluate emerging machine learning models and techniques for application within Zaizi’s specialist domain.
- Build advanced proofs of concept that turn AI research into practical customer capabilities.
- Apply data science techniques to support model research, evaluation, and refinement.
- Build, train, evaluate, and deploy machine learning models using Python and ML frameworks.
- Translate customer problems and domain needs into appropriate ML solutions.
- Share technical knowledge and advise on the practical application of AI within the organization.
Requirements
- Strong proficiency and hands-on programming experience in Python.
- Practical experience with machine learning frameworks such as PyTorch for building, training, evaluating, and deploying models.
- Solid understanding of machine learning algorithms and general software engineering practices.
- Proficiency with Git for version control and collaborative development.
- Familiarity with Docker for packaging, deploying, and running applications across environments.
- Ability to read and evaluate ML research, assess emerging AI technologies, and create practical prototypes.
- Preferred experience with JavaScript, React, AWS, Azure, GCP, Rust, or C++.
Benefits
- Hybrid working with a work-from-home equipment allowance.
- Up to £60,000 salary with annual compensation reviews.
- Employer pension contribution starting at 5% and increasing to a maximum of 8%.
- Group Life Assurance and Vitality Private Medical Insurance.
- 25 days of annual leave plus bank holidays, with the option to buy or sell additional days.
- 10 paid days for Reservist Military Service and two paid volunteering days per year.
- Fully funded professional certifications with five days of paid study leave.
- £500 annual Personal Choice learning fund, professional coaching, and team training.
- Cycle to Work scheme and other wellbeing support.
Categories
About Zaizi
Zaizi is a London-based, privately held software consultancy founded in 2007 that designs, builds, and operates secure digital services for UK public-sector clients. It delivers AWS-based cloud engineering, DevOps, cyber security, SRE, and product management to central government departments, typically under service engagements. Work often requires UK security clearance and five years’ UK residency, reflecting its focus on sensitive government systems.