Software Development Manager (Machine Learning Software Engineering)

Category: Information Technology

Location: Kraków, małopolskie, Poland


Software Development Manager (Machine Learning Software Engineering)

Kraków, małopolskie, Poland

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Company Description

Tesco is a leading multinational retailer, with more than 330 000 colleagues.

Our software is used by millions of people across several countries every day. Whether it’s the tills and websites our customers use, or the systems our colleagues and partners use, you’ll play your part in keeping it running like a well-oiled machine. And when a business problem pops up? You and the creative minds in our team will be challenged to solve it.

As Tech Hub we cooperate within the group of Tesco Technology Hubs located in the UK, Poland, Hungary, and India.

What our colleagues like the most at Tesco:

  • We develop our own products
  • We make an impact; large scale of operation
  • Accountability and respect are given to us
  • We cooperate and support each other
  • There are great colleagues who are divided into small teams here
  • We can develop and learn new things

Additional Information

Hybrid working

Currently, at Tesco Technology we work in a hybrid model. We love working from home, but we also love connecting, collaborating and innovating with our colleagues in person. We meet in our office in Kraków for 3 days a week.


UoP 28 000 - 40 000 PLN/ month


Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all of our colleagues. If you choose to join our business, we will provide you with (for all):

  • 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, Pluralsight and O’reily
  • 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
  • Relocation Help
  • Heightened income costs (KUP)

 If that sounds exciting, then we'd love to hear from 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.

Job Description

Within the Data & Analytics team we help Tesco, our customers and the communities where we operate to 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, and develop data products at scale. 

As Software Development Manager in Data Science Engineering, within Data & Analytics, you’ll lead software development in one of Tesco’s most strategic technology areas. You’ll work with our software engineers, data scientists, product managers, systems engineers, and analytics professionals to build robust software products that deliver valuable outcomes for our customers. You will be responsible for the software throughout the lifecycle; we maintain a DevOps culture, employing continuous integration and delivery, supporting our code through to production and beyond. 

You will be responsible for:

As a Software Development Manager, your primary responsibility is to build and maintain a passionate, engaged, and effective development team of engineers. You'll do this by taking a deep interest in the people that report to you, making sure they are happy, motivated, and challenged in what they are doing, guiding them to reach pragmatic technical solutions, and keep yourself close to the code (without becoming a blocker). You'll also take ownership when things go wrong but celebrate success collectively and, in short, act as a multiplier of your team’s effectiveness. Specifically, you will: 

  • Foster the careers of the engineers reporting into you by finding opportunities for growth, coaching, addressing concerns and implementing performance management. 

  • Continuously improve our engineering practices across data science products to operate at pace and at scale, using and promoting MLOps practices to deliver quality production software. 

  • Work closely with Product Management to identify and minimise risk within an outcome and help prioritise and evolve a workable technical solution ready for delivery. 

  • Contribute to group discussions on system design and architecture. 

  • Contribute to our platform strategy. 

  • Build globally, ensuring consistency in approach across all our locations. 

  • Inspire the engineering teams to produce quality solutions. 

  • Grow the capability of Tesco Technology as a whole by becoming involved in our engineering hiring and being passionate about building successful and diverse teams. 

  • Contribute to building a team culture for continuous improvement and an environment where engineers want to work. 

  • Continually look for how we can evolve and improve our technology, processes and practices. 

  • Keep your technical skills up to date and monitoring new technologies, processes, understanding how they might benefit the Technology team and wider Tesco. 


Experience relevant for this job: 

  • Experience with management of software engineering teams. 

  • Track record of driving technical excellence and change. 

  • Experience working in a global team distributed across multiple locations. 

  • Very strong understanding of the Software Development Lifecycle. 

  • Experience working with multiple software development methodologies including Scrum & Kanban. 

  • ML engineering including feature engineering, versioning and packaging, model training and distribution. 

  • Strong experience working with distributed computing frameworks. 

  • Architecture of solutions to integrate Data Science products into client applications. 

  • Enterprise integration patterns, microservice architectures and event sourcing. 

  • Containerisation ecosystems and other resource, workflow and orchestration systems. 

  • Experience of automation, configuration management, multi-cloud and hybridisation, IAAS and PAAS. 

Skills relevant for the job: 

  • Problem solving, analysis and computational skills. You are comfortable designing systems and reasoning about them. When tackling problems, you take a thorough and logical approach to solving them and you retain ownership through to resolution. 

  • A high degree of emotional intelligence: you are aware of your own emotions, how you appear and can self-reflect on your actions. You can empathise with others and modify your behaviour and style accordingly. 

  • Strategic thinking, with a demonstrable ability to see the big picture and articulate it in a way that drives action. 

  • Customer focus. You can find the right balance between outcome delivery and technical excellence. You place the needs of our customers as the highest priority. 

  • Excellent written and verbal communication skills. You can communicate effectively and efficiently, knowing your audience and making an impact. 

  • Team player who works collaboratively with other members of the team.  

  • Ability to influence technical teams and senior stakeholders. 

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