Top Machine Learning Jobs in Poland

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The Lead Application Security Engineer will oversee application security efforts, drive secure coding practices, perform security reviews, mentor team members, and lead architecture reviews to enhance Coupa's security features and compliance requirements.

Design and ship elegant, user-centered product experiences for Sprout's Influencer Marketing product. Collaborate with cross-functional teams, create wireframes, visual designs, prototypes, and contribute to the design system while validating ideas through research and testing.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Develop and specify radio network system features for 5G RAN, perform system studies (RRM, scheduling, link adaptation), build network-level simulators, verify and analyze 5G system tests, support product deployment and customer troubleshooting, and contribute to standards and innovation.

Design and develop scalable, high-quality backend systems for traffic automated road closure detection, handling the full software development lifecycle.

Develops and programs integrated software algorithms to analyze data, improve product performance, and apply machine learning in various environments using programming languages and technologies.

As a Supply Chain AI Engineer, you will design and deploy AI/ML models to optimize supply chain operations, improve data quality, and leverage Generative AI techniques, while collaborating with cross-functional teams.

The Manager will drive the sales strategy for the Test & Learn platform targeting financial institutions and merchants, focusing on developing new client relationships and leveraging data-driven insights to enhance business performance.

Lead the transformation of sanctions monitoring processes using AI and analytics to improve efficiency and regulatory compliance.

The Machine Learning Engineer will design, build, and deploy scalable ML solutions, collaborating with teams to operationalize models and ensure their performance and reliability.

The Lead AIOps & Automation Architect designs AI-driven operational strategies, architecture for automation, and frameworks for telemetry integration, influencing standards across service management.

Lead end-to-end product management for the Student Assistant AI product: define vision and roadmap, coordinate cross-functional teams, manage discovery to launch, prioritize backlog, run Scrum rituals, and use analytics, experiments, and user research to optimize outcomes while ensuring ethical AI and data privacy.

The Sr. AI Engineer will develop AI solutions to address health challenges, collaborating with global teams to advance research and clinical practice.

Partner with Market Units to analyze product, customer, and market data to identify margin opportunities. Build dashboards, run workshops, track PRGM initiatives, and design AI-driven pricing agents. Train users, support PriceFX analytics adoption, and collaborate with IT/data science to implement and refine pricing models and AI solutions.

Serve as a senior AI advisor delivering AI/GenAI projects: define architectures and best practices, lead technical teams, create DS/AI offerings, support sales and delivery, evangelize AI across clients and the company, research market trends, and ensure high customer satisfaction throughout the project lifecycle.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The Data Scientist will design advanced algorithms for generative AI models, analyze large datasets, and collaborate on AI advancements to enhance business processes.

As a Senior AIOps & Automation Engineer, you will develop AIOps capabilities, build automation for incident management, and deploy machine learning solutions for operational intelligence while collaborating across teams to enhance delivery outcomes.

The Senior AI Engineer will design and develop intelligent conversational systems, lead ML/NLP product development, and mentor engineers to enhance recruiting efficiency using AI-powered solutions.

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

As an AI Benchmark & Dataset Engineering intern, you will support benchmarking processes for model evaluation, curate benchmarks, run and validate tests, maintain documentation, and contribute to demos based on outcomes.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

The Lead AIOps Engineer will develop AI-driven operational capabilities, focusing on automation, anomaly detection, and efficient incident response. Responsibilities include building data pipelines, creating automation scripts, mentoring engineers, and establishing engineering standards.