356 English-speaking jobs in Lublin

Senior AI Engineer / Consultant to design, develop, and implement an AI agent leveraging Confluence knowledge for client's products. Requires strong AI/ML engineering experience, LLM-based solutions, Python, and experience integrating enterprise knowledge sources.

Senior Fullstack/Backend Engineer needed to design, develop, and optimize scalable backend services using Java and serverless technologies. Experience with frontend technologies (e.g., React, Web Components) and cloud technologies (AWS) is required. Collaborate with cross-functional teams to deliver innovative solutions. Provide mentorship to junior developers.

The Commercial Project Lead / Project Manager supports the global launch and establishment of a product category portfolio. The role coordinates market and product launches, manages commercial information, and ensures effective execution of commercial processes.

The Component Design Engineer develops, validates, and integrates plastic components for the AdBlue Delivery Module. Responsibilities include material selection, requirements management, technical specifications, and supplier collaboration. Requires a degree in Mechatronics or Material Science, fluency in English, and experience with industrial processes and problem-solving methods.

The General Ledger Team Leader will lead a team of General Ledger Accountants, ensuring compliance with accounting requirements and internal controls. Responsibilities include managing processes, providing technical support, and collaborating with internal clients and other teams. Fluent English is required, and experience as a Team Leader in a financial environment is preferred.

IAM Administrator to configure and operate authentication and authorization platforms in a large enterprise environment. Experience with IAM platforms, OAuth2, OpenID Connect, SSO, AD, LDAP, and microservices required.

The Product Owner leads requirements definition, data product design, and stakeholder alignment for a major systems modernization initiative.

Conducts and manages clinical trials from start-up through close-out, ensuring adherence to protocols, GCP, ICH Guidelines, and Velocity SOPs. Implements and coordinates assigned trials, including subject recruitment, scheduling, training, data collection, and reporting. Communicates effectively with coworkers, leadership, study subjects, sponsors, CROs, and vendors. Maintains confidentiality of patient and company information. Verifies and escalates patient safety concerns. Ensures data accuracy and timely resolution of queries. Collaborates with the Clinical Research Team to develop and implement quality control strategies. Performs other duties as assigned.

Leads the full Ball Way of Procurement lifecycle process for Real Estate, including strategy development, execution, and transaction management. Manages end-to-end real estate transactions and leverages market intelligence to make data-informed decisions.

Full Stack Developer needed for software development projects. Requires 3+ years experience with PHP (Symfony, Laravel), Angular, OOP, SOLID, and MySQL/PostgreSQL.

Design and implement automated test suites for switch software and firmware using Python. Develop testing frameworks for functional and performance testing, and integrate automated tests into CI/CD pipelines.

Senior Java Developer will design, build, and improve a low-code platform using Java. Collaborate with product, design, and QA teams to develop APIs, integrations, and backend systems. Must have 4+ years of experience as a Java developer, Spring framework, and complex architecture design.

Lead the design, configuration, and delivery of SAP Finance solutions across international projects. Manage integrations with tools like Salesforce, ADP, and HFM. Support core finance processes (P2P, R2R, C2O) and bring best practices to projects.

DevOps Engineer to lead CI/CD pipeline migration from Jenkins to GitHub Actions. Experience with Jenkins shared libraries, Groovy, Bash, GitHub Actions workflows, AWS IAM roles, and CI/CD migration projects required.

Senior Python Developer will participate in requirements analyses, research implementation ways, and possibilities. Develop new features from scratch and ensure assigned areas are delivered within set deadlines and quality objectives. Resolve crisis situations, collaborate with stakeholders, and participate in functional and architectural design. Requires 5+ years of commercial development experience, 4+ years of Python development experience, and commercial experience with FastAPI, Pandas, asyncio, SQLAlchemy, Celery, Redis, RabbitMQ, and gRPC. Full application lifecycle experience, strong experience with microservices, Docker, and clouds is also required.

Develop and maintain the frontend of HRappka.pl using Vue.js and PHP. Collaborate with QA, find and fix bugs, and contribute to application improvements.

Designs and implements complex Azure cloud solutions, manages Azure resources using IaC tools, and ensures secure, scalable, and high-availability application environments.

Lead Data Scientist will own the end-to-end ML lifecycle, architect inference for embedded/edge environments, and implement AWS ML platform capabilities. Requires 10 years in Data Science/ML, expertise in Python, deep learning, AWS ML/AI, and MLOps. Proven experience with LLMs/RAG, model optimization, and edge deployment is necessary. Strong software engineering and leadership skills are also required.

Develop and apply software practices to build, test, and deliver high-quality solutions. Create data pipelines to assist in building and training machine learning algorithms. Collaborate in a team environment and work with urgency to deliver timely solutions.

Manages data analytics consulting projects, proposing solutions, gathering requirements, and supervising implementation. Collaborates with team members on client projects, developing data-driven solutions. Designs, develops, and implements management information products, analytical solutions, and raw data extraction processes. Provides insights on transforming raw data into visualizations to support management decisions. Leads the development of data tools for transformation, management, and access. Oversees the implementation of performance monitoring protocols in data pipelines. Supports the identification of data governance requirements and manages data accessibility.