Software Engineer (Machine Learning - MLOps)

Tesco Technology

Kraków

Hybrid

PLN 20,000 - 25,000

Full time

4 days ago

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Benefits offered by this job

Hybrid working

MacBook

Udemy learning platforms

Referral Bonus

Private healthcare

Cafeteria & Multisport

20% yearly bonus

Paid leave 4 days

IP Tax Deductible Costs

Job summary

Tesco Technology is hiring a Machine Learning Engineer to join our growing Data Science Engineering team in Kraków. You will collaborate with data scientists, engineers, product managers, and analytics professionals to deliver scalable ML solutions that improve customer experiences and operational efficiency.

Ideal candidates have hands-on experience building MLOps systems, strong Python skills, and a track record deploying models to cloud environments such as Azure. Hybrid work is supported.

Qualifications

Degree in engineering, computer science, maths or science.
Customer focus balancing outcomes and technical excellence.
Demonstrable experience building MLOps systems.
Commercial experience delivering high-impact Data Science projects.
Awareness of emerging MLOps practices and tooling (feature stores, model lifecycle).
Analytical mindset for solving business problems.
Proficient in at least one language, ideally Python.
Experience with Git and related tooling.
Experience with monitoring/logging/alerting tools (Splunk, Grafana).
Knowledge of data structures and algorithms.
Experience with open-source Data-Science environments.
Knowledge of Apache Spark.
Experience deploying cloud solutions, ideally Azure.
Experience with Scrum & Kanban.
Background in retail/logistics/ecommerce advantageous but not required.

Responsibilities

Participating in group discussions on system design and architecture.
Translating product needs into technical requirements.
Collaborating with Data Scientists, Software Engineers and Product teams.
Delivering high-quality code and production-ready solutions.
Conducting code reviews to optimize performance.
Supporting production systems, incidents, and root cause analysis.
Evolving technology, processes and practices.
Sharing knowledge with the engineering team.
Collaborating on complex initiatives via working groups.
Building solutions using GenAI.
Applying SDLC practices to create and release robust software.

Skills

Python

MLOps

Azure

Apache Spark

Scrum & Kanban

Data structures

Open source DS

Education

Engineering degree

Computer Science

Maths/Science degree

Tools

Git

Splunk

Grafana

Job description

We are looking for a Machine Learning Engineer, to join our growing Data Science Engineering team. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You’ll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations.

This role would suit someone with previous experience working as a ML Engineer / Data Science Engineer.

About the Team

Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco’s data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, develop data products at scale and maintain existing applications.

Our Data Science team are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimizations, Commercial Decision Support (e.g. Forecasting, Range Optimization, Supply Chain support), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimization through to deployment of solutions on the edge, cloud and big-data environments.

You will be responsible for

Participating in group discussions on system design and architecture
Working with product teams to communicate and translate needs into technical requirements
Working alongside our Data Scientists, Software Engineers and Product teams across the software lifecycle
Delivering high quality code and solutions, bringing solutions into production
Performing code reviews to optimize technical performance of data science solutions.
Supporting production systems, resolving incidents, and performing root cause analysis
Look for how we can evolve and improve our technology, processes and practices
Sharing knowledge with the immediate engineering team
Collaborate with other teams on more complex initiatives via working groups
Improve and build solutions using GenAI
Applying SDLC practices to create and release robust software

You will need

You come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points:

Key Requirements

A higher degree in engineering, computer science, maths or science.
Customer focus with the right balance between outcome delivery and technical excellence. The ability to apply technical skills and know-how to solving real world business problems.
Demonstratable experience of building MLOps systems according to the best market standards.
Commercial experience contributing to the success of high impact Data Science projects within complex organisations.
Awareness of emerging MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management.
An analytical mind set and the ability to tackle specific business problems .
Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python.
Use of version control (Git) and related software lifecycle tooling.
Experience with tooling for monitoring, logging and alerting e.g. Splunk or Grafana.
Understanding of common data structures and algorithms.
Experience working with open-source Data-Science environments.
Knowledge of open source big-data technologies such as Apache Spark.
Experience building solutions that run in the cloud, ideally Azure.
Experience with software development methodologies including Scrum & Kanban.
A background or strong understanding of the retail sector, logistics and/or ecommerce would be advantageous but is not required.

Whats in it for you?

Salary UoP 20 000 - 25 000 PLN gross/month

Hybrid working We know life looks a little different for each of us. That’s why at Tesco, we always welcome chats about different flexible working options. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a career, adapting to parenthood, or something else. So, talk to us throughout your application about how we can support. This role requires you to be based in or near Kraków, as you will spend 60% (3 days) of your week collaborating with colleagues at our office locations or local sites and the rest remotely.

Benefits

Permanent contract from the go – as a sign of our trust in your abilities
MacBook as your tool for work
Learning opportunities - certified technical training and learning platforms like Udemy
Referral Bonus
Sports activities with a personal trainer in the office
Additional 4 days of paid leave to support your well-being and family life
Up to 20% yearly salary bonus – based on both individual and business performance
Private healthcare (LuxMed)
Cafeteria & Multisport
Supporting those, who are not yet eligible for full holiday entitlement, by expanding their pool from 20 to 25 days
IP Tax Deductible Costs

Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.

About Us

Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.

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