Software Engineer (Machine Learning - MLOps)

Within Tesco Data & Analytics, the team builds and runs Tesco’s data platforms, architects and engineers data onto these platforms, provides tools to the analytics community, develops data products at scale, and maintains existing applications. The Data Science team works on projects across supply chain, logistics, store and online domains, including Operations Optimizations, Commercial Decision Support, Online Search and Recommendation, and Intelligent Edge applications such as Computer Vision.

• Higher degree in engineering, computer science, mathematics, or science
• Customer focus balancing outcome delivery with technical excellence
• Experience building MLOps systems following best market standards
• Commercial experience with impactful Data Science projects in complex organizations
• Awareness of emerging MLOps tools such as feature stores and model lifecycle management
• Knowledge of ML workflow/orchestration platforms like Airflow
• Analytical mindset to tackle business problems
• Proficiency in at least one programming language, ideally fluent in Python
• Experience with version control tools such as Git
• Experience with monitoring, logging, and alerting tools like Splunk or Grafana
• Understanding of common data structures and algorithms
• Experience working with open-source Data Science environments
• Knowledge of big-data technologies such as Apache Spark
• Experience building cloud solutions, ideally on Azure
• Familiarity with software development methodologies including Scrum and Kanban
• Advantageous: background or strong understanding of retail, logistics, and ecommerce sectors

Nice to have:

• Awareness of additional emerging MLOps practices and tooling

• Participate in group discussions on system design and architecture
• Work with product teams to communicate and translate needs into technical requirements
• Collaborate with Data Scientists, Software Engineers and Product teams across the software lifecycle
• Deliver high-quality code and solutions, bringing solutions into production
• Perform code reviews to optimize technical performance of data science solutions
• Support production systems, resolve incidents, and perform root cause analysis
• Continuously seek ways to evolve and improve technology, processes and practices
• Share knowledge with the immediate engineering team
• Collaborate with other teams on complex initiatives via working groups
• Apply software development life cycle (SDLC) practices to create and release robust software

The role requires candidates to be based in or near Kraków due to expected 60% on-site presence at office locations or local sites. Tesco is a Disability Confident Employer and committed to providing a fully inclusive and accessible recruitment process with reasonable adjustments as needed.