Top Machine Learning Jobs in Paris

Lead the development and delivery of electronic warfare and SIGINT systems from concept through field deployment. Responsibilities include managing a multidisciplinary EW engineering team, defining system architectures, coordinating mechanical, electrical, software, GNC, and ML teams, performing trade-off analyses and simulations, overseeing integration and validation, and maintaining requirements traceability, documentation, and testing consistency.

Supports P&C finance analytics by developing dashboards, data pipelines, and data-driven tools using Foundry, Databricks, SQL, Python, and Tableau. Collaborates with finance and data teams to integrate and validate data, improve analytics processes, and support IFRS 17, Solvency II, and quarterly financial reporting. Analyzes underwriting and financial trends, prepares management deliverables, documents data strategies, and responds to business needs.

Build and maintain backend services, APIs, integrations, evaluation systems, data pipelines, and development environments for AI agents. Develop automated evaluations, analyze agent traces and failures, support model integration, and improve service reliability through testing, monitoring, logging, and safe deployments. Collaborate with software engineers, researchers, model-training teams, data specialists, and product owners while writing maintainable Python code and owning scoped components through implementation and operation.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Lead Wiremind’s product organization and company-level strategy, overseeing approximately 15 Product and Design employees. Set product direction, align software and AI/ML roadmaps, improve product processes, unblock squads, enhance UX for complex expert-facing B2B SaaS products, and coach product leaders. The role focuses heavily on revenue management, forecasting, pricing, and transport products while partnering with the CEO and executive team.

Own the strategy and execution of integrated B2B marketing campaigns for enterprise AI solutions and a self-service platform. Drive pipeline, product adoption, acquisition, and category awareness through ABM, content, events, paid media, lifecycle, social, partnerships, PR, and sales activation. Coordinate internal teams and agencies, optimize messaging and conversion paths, and measure performance across account engagement, pipeline, product adoption, and awareness.

Provides statistical leadership for Medical Affairs, real-world evidence, comparative effectiveness, HTA, and HEOR activities. Designs and analyzes observational, clinical, Phase IV, and indirect treatment comparison studies; evaluates data quality, bias, uncertainty, and applicability; supports evidence-generation strategies, reimbursement submissions, publications, and scientific communications. Collaborates with statistics, epidemiology, RWE, medical, and external scientific teams to translate complex analyses into actionable conclusions.

The role involves performing data-related tasks supporting AI content improvement in French, including data collection, evaluation, annotation, and object tagging.

Manage and develop a global team of Support Engineers while overseeing daily service delivery, escalations, ticket quality, operational metrics, and workflow improvements. This player-coach role involves coaching, performance management, onboarding, complex case investigations, cross-functional collaboration, and improving customer satisfaction, resolution times, and support efficiency. The position is based in Paris with hybrid work.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

The Chief Marketing Officer will lead Wiremind’s global go-to-market strategy across product, sales, customer success, and executive leadership. Responsibilities include product and market positioning, packaging and pricing alignment, demand generation, corporate communications, PR, thought leadership, sales enablement, performance measurement, and international growth. The role manages an 11-person marketing team, drives revenue-oriented metrics such as CAC, LTV, and pipeline contribution, and develops AI-enabled market intelligence and marketing operations.

Lead Sparteo’s Data & AI organization across data engineering, infrastructure, data science, MLOps, analytics, and BI. Define the AI roadmap, govern data and KPI standards, oversee real-time ML and adtech infrastructure, manage budgets, and develop multidisciplinary teams. The role requires deep mathematical and technical authority, hands-on architecture and model auditing, scaling experience in high-volume environments, and executive-level representation to the board, investors, and business leaders.

SAP Functional Consultant supporting major clients with SAP S/4HANA deployments, implementations, and migrations. Responsibilities include functional expertise across SAP modules, business and technical project support, client collaboration, analytical problem-solving, and participation throughout project phases. The role also requires familiarity with Agile, Scrum, Waterfall, SAP Fiori, SAP Analytics Cloud, SAP BTP, migration tools, AI, and machine learning.

Design and deliver internal systems, Go services, APIs, data models, dashboards, visualizations, and LLM-powered workflow features. The role includes writing specifications, estimating work, code reviews, testing, documentation, security, performance, accessibility, and collaboration with nontechnical stakeholders. The engineer will handle sensitive people data, mentor colleagues, and improve team practices in a globally distributed environment.

Develop causal inference, experimentation, predictive modeling, segmentation, forecasting, and LTV analyses for leboncoin’s Recommerce business. Measure promotional incrementality, optimize CRM and marketing decisions, identify high-value user segments, predict logistics outcomes, and prototype AI features. Collaborate with data, product, and engineering teams while translating complex analytical findings into actionable business recommendations.

Own the anti-fraud product roadmap across signup, payments, account protection, compute-abuse prevention, risk scoring, manual review, customer verification, and appeals. Partner with Trust & Safety, Engineering, Data Science, Analytics, and Legal to define detection rules, models, incident responses, experiments, and compliance processes. Monitor fraud losses, chargebacks, false positives, review throughput, and detection speed while minimizing customer friction.

Design user experiences for an agentic AI platform used by large organizations. Responsibilities include user research, UX/UI and interaction design, prototyping, user testing, A/B testing, impact measurement, roadmap shaping, and collaboration with product, engineering, and research teams. The role focuses on making complex AI workflows understandable, trustworthy, and intuitive while contributing to design systems and exploring code and AI-assisted design workflows.

Design user-centered experiences for an agentic AI workflow platform. Conduct user research, create designs and prototypes, test products through interviews and A/B testing, measure impact, iterate quickly, and shape the product roadmap with product and engineering teams. The role requires simplifying complex AI-driven workflows, designing for unpredictable AI behavior, maintaining user control, contributing to design systems, and collaborating comfortably on technical topics.

Lead a team of Data Engineers responsible for the Marketing Data Hub. Define secure, modern data architectures; oversee ingestion, transformation, exposure, partner flows, adtech, and data quality; collaborate with Product, CRM, business teams, and partners; support AI initiatives; and ensure operational stability and delivery across international projects.

Build and improve Firefox WebCompat internal dashboards, reporting tools, and broken-site screenshot capture pipelines. The role involves creating reliable data views for triage and metrics, automating screenshot workflows, collaborating with WebCompat and QA teams, and translating reporting needs into effective tooling. Familiarity with WebCompat workflows, Bugzilla, screenshot automation, and machine learning is preferred.

Lead and develop Customer Success Managers across Southern Europe, especially France and Spain. Ensure enterprise customers successfully launch and derive measurable value from the product, build executive and technical stakeholder relationships, translate product capabilities and performance data into business outcomes, establish scalable customer success processes, and handle complex escalations.

Contribute to AI-powered forecasting and optimization tools for revenue management. Analyze optimization algorithms, monitor decision data, develop performance KPIs, validate new features, write product tickets, and collaborate with Data Science, Machine Learning, Software, and Product teams. Share findings in product discussions and help deliver improvements used by transport and events clients.

Support ML engineers by improving the MLOps platform, implementing data science algorithms in client applications, collaborating on infrastructure, and deploying algorithms safely and scalably. The role involves Python backend development, data stores, CI/CD, Kubernetes infrastructure, monitoring, and production support. Candidates should be pursuing a Master's degree in Engineering and seeking an end-of-study internship.

The Strategic Sales Executive will sell Identity Governance Administration solutions to multinational organizations, engaging with senior decision-makers and navigating lengthy sales cycles.

Develop quantitative models for sports pricing, odds compilation, and risk management. Analyze large datasets, identify trading insights, deploy models with engineers, monitor performance, conduct back-testing, and continuously improve model accuracy. Collaborate with data scientists and engineers to align models with business needs. The role requires Python, sports betting market knowledge, statistical modeling, and experience with odds and margin optimization.