6105 English-speaking jobs in Île-de-France

Designs and owns a revenue forecasting framework for a European independent power producer. Builds market views across France, Italy, Spain, and Germany, translating market intelligence into long-term power price dynamics. Owns revenue and merchant risk sections for investment cases, providing strategic guidance on merchant vs. contracted exposure. Represents the business in industry forums and maintains relationships with market advisors.

Senior Product Designer to shape a core cash flow experience for business owners. Collaborate with Product, Engineering, Data, and Banking teams to design and iterate on a new product. Own the full design process, from exploration to implementation.

Executes and documents audit engagements, focusing on EMEA AML controls across transaction monitoring, investigations, sanctions compliance, and MLRO processes. Evaluates the effectiveness of key controls and communicates findings to management. Requires experience in financial crime compliance, AML/KYC regulations, and internal audit methodology.

The Data Center Engineering Operations (DCEO) Chief Engineer ensures the peak efficiency of electrical, mechanical, and fire/life safety equipment within a data center. This role involves preventative maintenance, corrective work, emergency response, and managing small-to-medium impacting projects. The CE will also train and support Engineering Operations Technicians.

The Convergence Leader, Dupixent Franchise ensures efficient implementation of changes across multiple sites, driving performance and compliance of Dupixent while maintaining supply. The role involves collaborating with Regeneron and various sites, assessing, planning, and transitioning CMC lifecycle changes, ensuring regulatory compliance and supply transition plans. The candidate will lead internal and joint committees, establish automated processes, and collaborate with experts in regulatory, quality, supply chain, and manufacturing operations.

Lead and grow a team of Site Reliability Engineers, driving the evolution of Doctolib's observability platform. Define and evolve observability strategy, own critical transversal services, and ensure high availability of platform services. Collaborate with engineering and product teams to align observability capabilities with business needs.

Senior Software Engineer to design, build, and maintain a scalable Web and mobile Design System. Drive the convergence of Web and Mobile Design Systems, ensuring visual and functional consistency across React and React Native components. Develop and maintain React Native components, champion accessibility, and mentor team members.

Develop cutting-edge AI solutions for clinical decision-making and healthcare workflows. Design and build machine learning models, especially in NLP and LLMs, to improve patient experiences and power intelligent health solutions.

Staff Mobile Engineer with 5+ years of experience building high-usage mobile applications, ideally in B2C environments. Deep expertise in React Native and mobile development best practices.

Senior/Staff Machine Learning Engineer will design, implement, and scale the evaluation framework for an AI Health Companion. Responsibilities include defining evaluation strategy, implementing automated pipelines, running experiments, and collaborating with model developers.

Senior Machine Learning Engineer to design, implement, and deploy AI and ML solutions for patient-facing products. Responsibilities include building retrieval pipelines, developing and fine-tuning LLMs, and orchestrating agentic AI systems. Requires 7+ years of experience in Machine Learning, Deep Learning, or AI Engineering with a strong track record of production deployments.

Senior Staff Machine Learning Engineer will lead the technical direction of AI systems for clinical decision-making and patient care. Responsibilities include defining standards for safe AI rollout in healthcare, leading the design and implementation of LLM-powered clinical agents, and establishing rigorous evaluation frameworks.

The Partner Solutions Architect (PSA) is a Datadog expert who supports technical initiatives and activities for partners, ensuring successful onboarding, training, and enablement of partner technical resources. The PSA collaborates with both Datadog and Partner resources to drive success and acts as a trusted technical advisor for the Partner channel.

Senior Product Manager will define and deliver AI data security capabilities, focusing on visibility, risk management, and secure AI adoption.

Staff DataOps Engineer to design, build, and optimize enterprise-scale data infrastructure for machine learning initiatives. Responsibilities include architecting data pipelines, ensuring reliability, and providing technical guidance to data engineers. Requires 7+ years of experience as a Staff Data Platform Engineer, Staff DataOps, or similar role with expertise in Google Cloud Platform, Kubernetes, Terraform, and data orchestration tools.

Senior Software Engineer to join the Patient Online Booking feature team. Collaborate with product managers, designers, and engineers to define and implement features for a high-traffic healthcare app. Expertise in Java and Ruby on Rails required. Contribute to technical vision and roadmap for the application.

Software Engineer will collaborate with product managers, designers, and engineers to build React/TypeScript components for healthcare professionals and patients.

Workday Solution Architect will drive the strategic evolution of Doctolib's HRIS ecosystem, lead Workday architecture, and coach a team of Project Managers. Responsibilities include designing complex integrations, establishing data governance, and leading end-to-end Workday implementations.

Senior Site Reliability Engineer will design, build, and maintain core infrastructure databases. Responsibilities include automating database deployment, scaling, and maintenance, as well as implementing monitoring, alerting, and incident response processes.

Senior MLOps Engineer to design and implement end-to-end ML model pipelines, own data pseudo-anonymization architecture, and build secure data export services with ML-based threat detection.