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.