Top Machine Learning Jobs in Poland

The Python Developer will work on integrating a machine learning library with cloud platforms, optimizing ML workflows, and managing cloud services.

Lead the Weaviate Database product: own roadmap and strategy, translate customer and research insights into features across schema, storage, replication, and search quality, coordinate cross-functional teams, drive developer adoption, and measure feature outcomes post-release.

The FP&A Manager leads financial planning, management reporting, and forecasting processes, providing insights for strategic decision-making alongside senior stakeholders.

Lead go-to-market planning for JetBrains AI Ecosystem launches, create clear messaging and launch assets, coordinate stakeholders, scale campaigns, gather market and customer insights, and track campaign performance to improve processes.

Design and deliver enterprise data management and analytics solutions for financial analytics. Build data pipelines, sourcing/scraping/OCR workflows, ML models and POCs, collaborate with engineering and product teams, and deploy solutions on cloud (AWS) using MLOps practices. Translate domain needs into platform strategy and drive implementation across teams.

Responsible for developing new and supporting existing kernels for linear algebra operations on AI hardware, focusing on performance optimization and quality improvement.

Responsible for developing and supporting kernels for linear algebra operations on AI hardware, optimizing performance and debugging issues.

The Technical Project Manager will drive the delivery of technical features across platforms, manage project lifecycles, and facilitate communication in cross-functional teams.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

As a Portfolio Accounting Fund Accountant, you will perform cash and position reconciliations, assist clients, and support team development while ensuring deadlines are met.

As a Portfolio Accounting Associate, you will process cash and position reconciliations, resolve fund issues, and work on projects under supervision, aiming for efficient workflows.

The Principal AI/ML Engineer will lead the architecture and development of HERE's Agentic AI Framework, focusing on delivering scalable agent-based systems, mentoring engineers, and influencing multiple teams.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.

The Senior Generative AI Engineer will design and develop the Orion GenAI Platform, standardize technology stacks, and enhance innovation speed while collaborating across teams.

The Senior Product Manager will define the roadmap for ML-powered features, enhance customer satisfaction, and collaborate with cross-functional teams to launch AI capabilities.

Develop SaaS platform components, participate in Agile activities, debug complex problems, and automate tests to ensure high-quality software.

Develop and operationalise meteorological tools and products by analysing NWP, radar and satellite data, applying data-driven and AI methods, engaging stakeholders, directing research, and delivering software applications for forecast services.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Lead the design, development, and industrialization of AI solutions, ensuring alignment with business needs, security, and compliance while guiding multidisciplinary teams and engaging with stakeholders.

The AI Lead Developer designs and deploys AI solutions for business needs, collaborating with teams to ensure scalable, reliable applications throughout their lifecycle.

Lead and deliver Discrete Event Simulation (FlexSim) consulting engagements from discovery to implementation. Build, validate and present simulation models, support technical escalations, drive pre-sales demos and solution scoping, mentor junior staff, develop repeatable methodologies, and collaborate with product, development and customer success teams to improve operations and adoption across EMEA.