Top Machine Learning Jobs in Poland

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

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

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.

The Senior Product Manager will develop strategies for new AI agent categories to enhance productivity workflows and collaborate across teams to optimize product offerings.

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.

Build and maintain ML model deployment platforms, ensuring reliability and scalability. Collaborate with AI engineers to optimize performance and handle alert issues.

Lead AI-driven consulting engagements, develop AI strategies, manage multidisciplinary teams, mentor junior colleagues, publish thought leadership, and build external network.

Lead the execution of digital solutions for condition monitoring in marine systems, ensuring project scope and seamless delivery. Responsibilities include technical interface with customers, project management, and application of data analysis for performance optimization.

The Senior Product Manager will lead product strategy in AdTech, collaborating with clients and teams to develop scalable advertising solutions.

Lead the Site Reliability Engineering team by mentoring engineers, setting strategic directions, improving system reliability, and driving SRE principles across the organization.

The Senior Data Scientist will generate actionable insights from commercial processes, leading AI technology integration and supporting pricing and contract management through data analysis.

The role involves leading R&D projects to model and simulate power systems, utilizing machine learning and numerical simulations to support energy transition efforts.

The role involves conducting R&D in process mining, proposing projects, collaborating with teams, implementing solutions, and disseminating results in publications.

As an R&D Engineer, you'll develop and validate AI/ML technologies for HVDC solutions, collaborate globally, and innovate optimization methods.

The R&D Scientist will enhance simulation-based engineering processes using ML, lead research projects, collaborate globally, and publish findings.

As a Senior Project Manager, you will lead complex software and AI project deliveries, manage cross-regional teams, and engage with clients to align technology solutions with business goals.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

Seeking Hedge Fund professionals with 1-4 years experience for middle office responsibilities including trade capture, valuations, and client onboarding. Candidates will manage client relationships and customized requests while maintaining knowledge of loan products.

Promote Lean culture by improving processes and manufacturing excellence, training teams, and driving continuous improvement initiatives while collaborating across departments.

The Data Scientist will develop AI and data science solutions, analyze structured data, implement machine learning techniques, and collaborate with business teams to generate value from data initiatives.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Science Expert will perform end-to-end product analysis, build analytical models, translate data into insights, and enhance analytics practices.

The Senior Data Scientist will design and implement NLP-heavy machine learning systems, own models end-to-end, and communicate findings to stakeholders, focusing on real-world impact.

Develop and maintain data recovery software, integrating AI/ML solutions to improve reliability and automate processes. Responsible for test cases and debugging issues.