180 English-speaking jobs in Opole Voivodeship

Controlling Specialist (Capex Controller) will manage CAPEX project spending, develop budgets and financial forecasts, and support monthly financial reporting. Requires a Bachelor's degree in Finance, Accounting, or Controlling, 3+ years of experience, and proficiency in MS Excel and SAP.

Junior GL Accountant will perform month-end activities and reporting for CAPITA divisions, including balance sheet reconciliations and journal postings. Requires a university diploma in accounting, economy, or finance, excellent English skills, and relevant accounting experience.

Assists with month-end accounting, reporting, balance sheet reconciliations, and commission calculations. Provides support to the London based team. Requires fluency in English, strong numerical aptitude, and attention to detail. Experience with ERP systems and MS Excel is beneficial.

Finance Analyst will track and analyze project costs, prepare and maintain cost trackers, and support month-end close processes. Requires a degree in finance, business, economics, accounting, or a related field, strong Excel skills, and attention to detail.

Senior Machine Learning Engineer to design, deploy, and maintain scalable machine learning solutions. Experience with MLflow, MLOps, and cloud platforms (AWS, Azure, or GCP) required.

Senior D365 Finance & Operations Developer needed for complex solutions. Focus on custom development, integrations, and performance optimization within Supply Chain and Finance domains. Requires 5+ years of experience, advanced X++ knowledge, and understanding of D365FO extensibility. Fluent English required.

Global Commodity Manager for Direct Raw Materials will develop sourcing strategies for polymers, resins, and chemical inputs. This role manages a global supplier portfolio, negotiates long-term agreements, and ensures material specifications and supply continuity align with business needs.

Develops maintenance job plans for work scheduling and execution, including required skills, materials, tools, work instructions, and safety steps. Plans and assists with preventative maintenance and reliability activities, following established guidelines and protocols. Scopes work requests and develops detailed work instructions for complex work. Maintains records of mechanical activities and work order feedback in SAP PM. Participates in Equipment Reliability Strategy process and provides input for equipment reliability improvement projects.

Engineer will help shape and operate a cutting-edge technology stack built on modern cloud technologies supporting Industrial IoT applications. Responsibilities include deploying and maintaining cloud-native services, working with Docker and Kubernetes, and utilizing observability tools.

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.

Design and implement automation solutions using Blue Prism. Analyze business processes, translate needs into automation designs, and mentor developers. Requires 2 years of Blue Prism experience, understanding of automation architecture, and good English communication skills.

Manages availability and capacity of IT services. Defines and maintains availability processes, monitors service performance, and conducts risk assessments. Develops capacity plans, forecasts resource needs, and ensures optimal resource utilization. Produces reports and ensures compliance with governance standards.

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.

Leads the design and implementation of enterprise-grade Agentic AI solutions leveraging Microsoft technologies. Translates business challenges into robust, scalable, and secure architectures. Develops, configures, and maintains AI agents using Microsoft Copilot Studio. Advises clients on tailoring Microsoft Agentic AI platform components to meet specific requirements.

Lead the design and deployment of AgenticAI-powered architectures across Hire to Retire Lifecycle (HRL), Quote to Revenue (Q2R), and Recruit to Contract (REC) blueprint domains. Architect and operationalize AgenticAI frameworks aligned with HRL, Q2R, and REC transformation goals. Design scalable, modular agentic systems that integrate with HCM, CRM, and contract lifecycle platforms.

Develop and deploy UiPath automation solutions, integrating them with various business systems. Apply AI and GenAI technologies to enhance automation capabilities. Collaborate with clients to understand their requirements and provide tailored solutions.

Lead the design and deployment of AgenticAI-powered architectures across C2C, P2P, and R2A domains. Architect and implement AgenticAI frameworks aligned with transformation goals. Collaborate with blueprint owners, product teams, and engineering to ensure blueprint fidelity and architectural integrity.

Leads the design and implementation of enterprise-grade Agentic AI solutions leveraging Microsoft technologies. Translates business challenges into robust, scalable, and secure architectures. Develops, configures, and maintains AI agents using Microsoft Copilot Studio. Advises clients on tailoring Microsoft Agentic AI platform components to meet specific requirements.

UI/UX Designer with 3+ years of experience in building design systems. Designs and develops interfaces based on established systems, analyzes business processes, and ensures UI/UX consistency across products. Must have experience with Figma, Adobe XD, or Sketch and knowledge of HTML/CSS.

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 needed. Strong software engineering and leadership skills are also required.