23735 marketing English-speaking jobs in Europe

Solution Engineer, Apromore Builder, requires technical expertise in process intelligence, data engineering, and AI-driven solutions. This role involves designing B2B solutions, building PoCs, and guiding enterprise clients through Agentic AI adoption.

SAP SuccessFactors ALM Consultant needed for implementation and configuration. Responsibilities include designing Agent/Producer lifecycle processes and integrating ALM with EC, SAP HCM, and SmartRecruiters.

Working Student - Network Planning supports network planning activities, data entry, and analysis. Requires enrollment in relevant fields, strong analytical skills, and fluency in English.

Technically hands-on Business Analyst bridging HR operations, Workday, and AI/automation. Optimize HR processes, build workflows with n8n/Python, and deploy AI tools. Requires 5+ years in HR tech and Workday experience.

IT Infrastructure Engineer to maintain and improve global identity and access management. Responsibilities include integrating applications, driving access control projects, and automating tasks using skills like Microsoft Entra ID, OIDC, and Python.

Build and operate scalable data infrastructure on AWS and Kubernetes. Develop streaming components using Kafka and Snowflake. Requires 3+ years experience with data platforms, Terraform, and Python.

Senior Principal Analyst specializing in ServiceNow contract negotiations and licensing. Requires expertise in ServiceNow commercial programs, contracting, and market trends to deliver actionable insights to clients.

Freelance Reporter/Analyst needed for Cybersecurity and AI Law and Anti-Corruption Reports. Research and write long-form articles on legal, regulatory, and compliance topics, requiring 3+ years of relevant experience.

Senior AI/ML Engineer to develop and deploy solutions using ML models, Generative AI, LLMs, and NLP. Manage the full ML lifecycle, ensuring data quality and AI Act compliance. Requires a Master's degree and 15+ years of experience.

Intern supporting semi-automated chip card programming and process automation. Tasks include operating 3D printers and contributing to small programming tasks. Requires enrollment in CS, mechatronics, or related field, and basic knowledge of Python/C++ and hardware assembly.

Working Student for Sales Operations focusing on AI and Salesforce solutions. Tasks include Salesforce configuration, AI use cases, and developing solutions with Apex and LWC. Requires enrollment in a relevant field and Salesforce experience.

Own the AI model release cycle, ensuring reliable, on-time deployment across the vehicle fleet. Define release gates, coordinate cross-functional teams, and build processes for ML model promotion from hypothesis to production.

Cyber Security Engineer to lead threat analysis and risk assessment for autonomous driving software. Responsibilities include defining security concepts, supporting ISO/SAE 21434 compliance, and collaborating with OEMs. Requires 5+ years in cybersecurity systems engineering.

Develop C++ application software for ADAS and active-safety features, building logic on AI/ML outputs. This role involves validation, debugging, and translating requirements into robust vehicle features.

Lead large-scale training and post-training for Gaia, a world model predicting future frames from driving video. Influence model architecture and drive measurable impact on the driving stack.

Senior Software/Reliability Engineer to ensure autonomous vehicle systems are reliable and scalable. Monitor health, investigate incidents, and build automation using Python, C++, or Rust, with experience in SRE practices.

Senior Machine Learning Engineer to lead large-scale data enrichment for Core Model Safety in autonomous driving. Develop workflows for rare event mining and design out-of-distribution detection mechanisms. Requires Python/PyTorch expertise and ML operations experience.

Customer Integration Engineer to support autonomous driving technology for the German market. This role provides hands-on technical support, troubleshooting, and acts as a bridge between customers and internal engineering teams.

Build and improve scalable data pipelines for autonomous driving model development. Ingest, transform, and curate large-scale datasets, ensuring data quality and supporting ML workflows. Requires Python, SQL, and PySpark experience.

Define data quality and provenance using statistical methods. Analyze large datasets with Python and SQL to identify quality issues. Partner with teams to build automated, defensible metrics for embodied AI systems.