Junior data Scientist

Junior Data Scientist / MLOps Engineer

UK Remote | £40,000–£45,000 + Benefits | Fully paid travel to Prague

Start date: April 2026 (Must be able to start April 2026)

I’m currently recruiting for a Junior Data Scientist / MLOps Engineer to join a growing business in the business aviation sector, providing trip planning, operational support, fuel services, and digital tools for worldwide business jet operations.

This is a brilliant opportunity for a Master’s-level candidate looking to kick-start their career in a role sitting at the intersection of machine learning, MLOps, and production AI systems.

You’ll help support the end-to-end deployment of ML models into production, contribute to training and inference pipelines, and work on building scalable AI infrastructure designed for genuine business impact.

What you’ll be doing:

• Supporting the deployment of machine learning models into production
• Helping to build and maintain reliable training and inference pipelines
• Contributing to MLOps foundations across deployment, monitoring, documentation, and reproducibility
• Working closely with technical and business stakeholders to support high-value AI use cases
• Supporting internal AI tools and automation projects
• Monitoring usage, effectiveness, and performance of deployed tools
• Helping optimise ML infrastructure for scalability, cost, and reliability
• Supporting documentation across models, pipelines, integrations, and usage

What they’re looking for:

• Completed MSc in Data Science, Machine Learning, Computer Science
• Strong Python skills
• Understanding of machine learning deployment through academic projects, research, dissertations, or internships
• Exposure to MLOps concepts such as CI/CD for ML, orchestration, model monitoring, and reproducibility
• Strong communication skills and a proactive mindset
• Start date: April 2026 (Must be able to start April 2026)

What’s on offer:

• £40,000–£45,000 + benefits
• Fully remote in the UK
• Fully paid travel to Prague as when needed to collaborate with the engineering team
• Excellent opportunity to develop across Data Science, MLOps, production AI, and ML infrastructure

If this sounds of interest, please apply with your most up-to-date CV or message me directly for more information.