Top Machine Learning Jobs in France

The Sales Account Manager will drive revenues from new accounts, develop partnerships, manage forecasting, and collaborate with teams to close deals.

Supports technology, data, automation, and AI audits by assessing governance, controls, model risks, cybersecurity, data quality, and regulatory compliance. Designs analytics, automated testing, dashboards, and AI-enabled tools to improve continuous assurance and audit efficiency. Partners with technology and data teams, translates technical risks into business conclusions, advises auditors, and contributes to internal audit innovation and technology roadmaps.

Conduct research on neural-network methods for incorporating petrophysical information into reservoir-oriented Full-Waveform Inversion. Develop models mapping porosity, lithology, and saturation to elastic parameters, then integrate them into FWI workflows. Collaborate with subsurface imaging R&D, software, and production teams while applying machine learning, wave propagation, signal processing, and numerical optimization to Earth imaging challenges.

Lead client engagements that translate business needs into AI and data opportunities, roadmaps, and scalable solutions. Act as a Data and AI Product Owner, managing vision, backlogs, prioritization, delivery governance, adoption, value measurement, and responsible AI. Partner with senior stakeholders, engineers, and business teams; support consulting proposals, account growth, methodologies, recruiting, mentoring, and AI training.

Leads a multinational BDR organization of approximately 18 representatives through team leaders. Owns BDR strategy, playbook development, performance management, metrics, sales technology adoption, process optimization, and cross-functional alignment with Sales, Marketing, and senior leadership. The role combines strategic planning with hands-on operational leadership across European and US markets, driving scalable prospecting, qualification, conversion, and team development.

Own enterprise sales pipelines, manage complex multi-stakeholder SaaS sales cycles, and close strategic deals with Global 2000 organizations. Position Algolia’s AI-powered search, generative AI, and agentic capabilities to executive and technical buyers. Develop territory strategies, expand accounts, generate new opportunities, partner with solutions engineering and strategic partners, create proofs of value and ROI analyses, and forecast accurately using MEDDPICC. Fluency in Dutch and English and 5+ years of enterprise SaaS sales experience are required.

Research and develop systematic crypto options trading strategies, from hypothesis and backtesting through production deployment and live management. Responsibilities include analyzing volatility dynamics, building volatility surface models, monitoring P&L, risk, and execution quality, and collaborating with traders and developers on market data and execution infrastructure.

Six-month data science internship evaluating single-cell foundation models for drug discovery. The intern will design and implement benchmarks assessing batch integration, cell-type annotation, and biological perturbation prediction, then present findings to Data Science teams. The role requires Python, machine learning libraries such as scikit-learn and PyTorch, biological understanding, interest in single-cell data, and fluent French and English. The position is based in Toulouse, France, starting February 2027, with limited remote work after onboarding.

Leads Ipsen’s AI Programming capability within Biometry, establishing strategy, standards, governance, and operating models for AI-enabled programming and automation. Manages clinical data scientists, AI programmers, and application developers while delivering ML, LLM, data products, and applications for clinical and R&D use cases. Partners across Biometry, IT, data and analytics teams, and external vendors to ensure validated, secure, scalable, reproducible solutions and drive organizational adoption.

Develop, validate, deploy, and maintain machine learning solutions for medical device manufacturing and CAD/CAM systems. Build deep learning and multimodal AI models using computer vision, 3D geometry, meshes, images, and structured data. Integrate models into production systems, conduct performance analysis, maintain ML workflows, and translate research into practical manufacturing applications while collaborating with engineering, manufacturing, and product teams.

Develop and productionize NLP and machine learning models for Spanish legal documents, including search, recommendation, information extraction, and conversational agents. Monitor models in production, collaborate with engineering, product, and design teams, contribute to data science best practices and engineering strategy, and stay current with AI research. Strong Python, machine learning, Elasticsearch, and English and Spanish skills are required. The role is based in Paris with hybrid remote flexibility.

Six-month Data and AI internship contributing to machine learning, optimization, generative AI, LLM, and agentic workflow development. Responsibilities include maintaining and retraining models, monitoring production performance, evaluating AI systems, documenting risks and failure modes, supporting responsible AI practices, and explaining data science concepts to deployment teams. The intern will work with Python, data engineering concepts, MLOps, LLMOps, and cloud data platforms in an international Paris-based team.

Leads complex technical programs spanning AI research, robotics hardware, software, simulation, and foundation model training. Builds roadmaps, aligns Bay Area and Paris teams, manages dependencies and risks, establishes execution metrics, and automates program management workflows. Requires technical fluency across machine learning and hardware integration, strong communication, rapid domain learning, decisive execution, and ownership of outcomes.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Drives partner-led growth for FICO software by managing strategic relationships with international payment processors, acquirers, and networks. Develops joint business plans, engages C-suite executives, identifies and closes complex SaaS opportunities, manages channel sales pipelines, coordinates internal virtual teams, and leads co-marketing and co-selling initiatives. Requires deep financial services knowledge, consultative selling expertise, executive relationship management, and significant worldwide travel.

Own the architecture and operation of a cloud-based ML platform for robot learning. Build services for training and inference, GPU provisioning, data and artifact management, web applications, infrastructure as code, CI/CD, monitoring, security, multi-tenant isolation, and cloud cost optimization. The role also includes establishing cloud and DevOps practices across the engineering team.

Support data processing pipeline deployment, including data reception, cleaning, information extraction, and fraud-model calibration. Conduct R&D in machine learning, NLP, image analysis, trend analysis, and chatbots. Collaborate across sales, legal, product, and engineering throughout the AI product lifecycle.

Six-month AI/ML engineering internship focused on building remit, an agentic data science system that transforms business questions and datasets into trusted recommendations. Responsibilities include designing AI agents, implementing data-quality and leakage checks, evaluating agent reliability and cost, integrating modeling tools and tabular foundation models, and supporting Databricks, Unity Catalog, and MLflow integration. The intern will conduct research, benchmark realistic business cases, collaborate with data scientists, and help ensure safe, governed, explainable AI workflows.

Designs, builds, and maintains scalable data and machine learning infrastructure, pipelines, databases, integrations, self-service tools, and MLOps workflows. The role includes platform expansion, observability, security, data quality, performance optimization, infrastructure as code, CI/CD, documentation, and collaboration with data scientists, analysts, and stakeholders. Strong experience with cloud platforms, Kubernetes, containerization, databases, big data, orchestration, and AI-assisted development is required.

Build, train and deploy large time-series foundation models (multimodal inputs), design reproducible experiments, create data exploration tools, add datasets, deploy models to API/platform, iterate on user feedback, and mentor future team members.

Develop and productize deep learning and computer vision models for autonomous drone navigation. Responsibilities include data curation, model architecture, edge deployment optimization, MLOps pipeline management, reproducible training and evaluation, cross-team localization pipeline development, and real-world flight testing. The role requires researching advanced deep learning methods, optimizing model speed and accuracy on constrained hardware, and analyzing field failures to improve deployed systems.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

Drives enterprise sales growth for legal and compliance software products through account planning, new customer acquisition, upselling, cross-selling, and strategic relationship management. Leads complex customer engagements, presents tailored solutions, manages sales quotas and forecasts, and collaborates with solution consultants, marketing, professional services, partnerships, and customer success teams. Requires consultative selling, enterprise account management, CRM proficiency, and strong negotiation and presentation skills.

Provides technical leadership for designing, developing, and deploying AI, machine learning, generative AI, and advanced analytics products. Leads solutions from experimentation through production while promoting software engineering, MLOps, testing, governance, responsible AI, and lifecycle best practices. Collaborates with business and product stakeholders, mentors data scientists and machine learning engineers, conducts technical reviews, and ensures scalable, reliable, interpretable, and maintainable AI solutions.