Data & AI Warsaw Tech Summit 2026: Machine Learning Engineer – From Models to Production

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Hiring Remotely in Poland
Remote or Hybrid
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Be Yourself at Work, Make a Difference, and Act with Integrity are our values at Capco.
The Role

 

 

Capco at Data & AI Warsaw Tech Summit 2026About Capco 

Capco drives digital transformation across the financial industry.

A global consulting firm focused on financial services, Capco partners with leading banks, fintechs, and financial institutions to design and deliver next-generation data platforms, AI solutions, and digital ecosystems.

From data strategy and modern platforms to AI-powered decision systems and GenAI innovation, teams unlock measurable value from data.

What defines Capco?

A fast, flexible, and entrepreneurial environment. Quick decision-making, creative thinking, and real ownership enable people to push the boundaries of what technology can achieve.

Capco stands for:

• Trusted partnerships with banks, payments providers, and financial institutions
• Delivery of modern data platforms and AI-powered systems
• Innovation across cloud, data engineering, machine learning, and GenAI
• A community of engineers, architects, and consultants solving complex challenges

Meet Capco at the Data & AI Warsaw Tech Summit  🚀

At this year’s Data & AI Warsaw Tech Summit, Capco will share how financial institutions can move from experimentation to production-grade AI and scalable data ecosystems.

Our experts will explore how organizations can:

• Build AI-native architectures on modern cloud platforms
• Scale machine learning and generative AI solutions across enterprise environments
• Transform fragmented data into high-value data products
• Embed AI into real business workflows and decision-making systems

Capco Speakers at Data & AI Warsaw Tech Summit 🚀Andrzej Worona  & Laura Żusin-Kaczmarek

Topic: From Data to Meaning: Educating AI in Banking with Ontologies: Lessons from FIBO and Conversational Banking

Time: 11:50-12:10 CET

 

Intro:

Many AI solutions still fall short when it comes to understanding and reasoning about complex financial concepts. The real challenge is about how financial knowledge is represented and shared with machines. Why does AI still misunderstand basic banking terms despite having access to vast amounts of data?
How can AI truly understand financial concepts? Using the Financial Industry Business Ontology (FIBO) as an example of structured domain knowledge, we will discuss how formal, machine-readable definitions can provide the contextual foundation AI needs. By analysing selected conversational banking scenarios and example solutions, we will invite participants to reflect together on what the right semantic layer for AI in banking should look like.
Join us to discover why the next leap in AI for banking isn’t just about more data or better models, but about building a structured understanding of financial meaning.

Looking for ML EngineerRole Overview

We are looking for a Machine Learning Engineer to design, build, and deploy scalable machine learning solutions. In this role, you will work closely with data scientists, data engineers, and product teams to bring ML models into production and ensure their performance, reliability, and scalability.

Key Responsibilities
  • Design, develop, and deploy machine learning models into production

  • Build and maintain scalable ML pipelines and workflows

  • Collaborate with data scientists to operationalize models (MLOps)

  • Optimize model performance, scalability, and latency

  • Monitor, evaluate, and retrain models in production

  • Work with large datasets and feature engineering processes

  • Implement best practices for versioning, testing, and deployment of ML models

  • Integrate ML solutions into existing systems and applications

  • Document models, pipelines, and processes

Requirements
  • Proven experience as a Machine Learning Engineer or similar role (X+ years)

  • Strong programming skills in Python (or similar language)

  • Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

  • Solid understanding of machine learning algorithms and statistics

  • Experience with data processing tools (e.g., Pandas, Spark)

  • Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)

  • Experience with cloud platforms (AWS, Azure, or GCP)

  • Knowledge of APIs and microservices architecture

  • Strong problem-solving and communication skills

Nice to Have
  • Experience with deep learning and NLP or computer vision

  • Familiarity with Docker and Kubernetes

  • Experience with CI/CD pipelines for ML

  • Knowledge of data engineering concepts and tools

  • Experience with real-time or streaming data systems


 

Online Recruitment Process
  • Screening call with the Recruiter
  • Hiring Manager Technical Interview
  • Feedback
  • Offer

We offer a flexible collaboration model based on a B2B contract with the opportunity to work on diverse projects.

 

What the Team is Saying

Sarvani
Michael
Josh

Capco Compensation & Benefits Highlights

  • Wellbeing & Lifestyle Benefits Wellbeing resources are extensive, featuring a global platform with a Mental Health Hub, EAP-style support, coaching, financial-wellness content, and regional wellbeing events. These offerings position health and lifestyle support as a core part of the employee experience.
  • Parental & Family Support Family-friendly design includes enhanced maternity, adoption, and shared parental leave along with paid leave for pregnancy loss, fertility treatment, menopause, and bereavement. U.S. Return-to-Work materials highlight flexibility and structured support for caregiving needs.
  • Inclusive Benefits Coverage Recognition on the Human Rights Campaign Corporate Equality Index signals LGBTQ+ inclusive policies and benefits in the U.S. context. This reflects intentional coverage for diverse families and life stages.

Capco Insights

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The Company
HQ: London
6,000 Employees
Year Founded: 1998

What We Do

Capco, a Wipro company, is a global management and technology consultancy specializing in driving transformation in the energy and financial services industries. Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting edge ingenuity is brought to life through its award-winning Be Yourself At Work culture and diverse talent. TRUSTED ADVISORS - Our collaborative and entrepreneurial approach position us as trusted long-term partners to our clients. DEEP EXPERTISE - Clients look to us for clear guidance, proven expertise, and the support they need to set their companies up for success. DISRUPTIVE SOLUTIONS- We do not provide off -the-shelf answers to clients’ challenges. Instead, we work in close collaboration to understand the issues, and craft disruptive, bespoke solutions. ACCOUNTABILITY AND OWNERSHIP - We recognize every client has distinct needs and expectations, and we take ownership and accountability for the solutions we design, build, and deliver.

Why Work With Us

We support and encourage an inclusive culture, entrepreneurial outlook and independent thinking. Capco is not about organizational charts and rigid hierarchies – we want all employees to feel that Capco is their firm to own and run. We believe diversity powers innovation. Be Yourself At Work (#BYAW) is an integral and underlying part of our culture

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