Top Machine Learning Jobs in France

Work with sales and partners to solve complex data problems using Snowflake: present demos and POCs, design solutions, build technical champions, collaborate cross-functionally, represent Snowflake at events, and enable customers through implementation and account strategy.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Lead system architecture and implementation for a robotic defense system. Coordinate multidisciplinary teams (mechanical, electrical, software, GNC, ML), perform trade studies, oversee integration, validation, and system reviews, and improve requirements traceability and validation workflows.

Senior pre-sales Solutions Engineer for Splunk in Paris providing technical leadership across France: design and present solutions, lead PoCs, respond to RFIs/RFPs, collaborate with account teams, drive cross-sell/up-sell, and translate customer business needs into technical requirements to increase revenue and displace competitors.

Research and investigate global fraud trends using BioCatch data and external sources. Produce data-driven insights, visualizations, written thought leadership, dashboards, and presentations. Build repositories and automate analysis workflows while applying fraud expertise and AI tools to validate findings and support sales and marketing.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

Lead the Weaviate Database product: own roadmap and strategy, translate customer and research insights into features across schema, storage, replication, and search quality, coordinate cross-functional teams, drive developer adoption, and measure feature outcomes post-release.

The AI Deployment Engineer collaborates with startups to optimize AI systems, develop evaluation methodologies, and provide technical insights to improve product quality and customer experience.

Lead strategic selling of enterprise AI applications and use cases to Global 1000 customers. Develop account engagement plans, drive business development, collaborate with product and engineering, and expand customer footprints. Serve as a technical-sales leader, translating complex AI/ML concepts into business value. Travel to customer sites up to 50%.

Full-cycle recruiter for an AI safety startup, sourcing and hiring engineering, AI research, product, and business roles across the US and Europe. Build technical pipelines, conduct structured interviews, assess candidates for technical and cultural fit, improve recruiting processes and tooling, and advise hiring managers and leadership.

Develop, design, test and implement imaging and 3D reconstruction algorithms using C++ and Python. Analyze real data, optimize for high-performance computing, integrate algorithms into applications, and collaborate across algorithms, physics, and electronics teams while participating in design and code reviews.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Lead the Recommendations engineering team to build scalable, reliable recommendation-as-a-service products. Own recommendation quality and business impact, set technical direction, translate product goals into engineering plans, ensure SLAs, hire and coach engineers, and drive system reliability and scalability.

Lead product strategy and roadmap for query interpretation and search quality. Own models, tools, and metrics to optimize recall and precision. Collaborate with ML, infra, and product teams, triage quality issues, benchmark competitors, and build evaluation frameworks and explainability for search results.

Develop and calibrate multi-scale computational models to predict aortic remodeling caused by LVADs, simulate growth and remodeling (G&R) outcomes, analyze imaging and histology data, and derive patient-specific LVAD placement and actuation guidelines to minimize vascular dysfunction.

Develop and validate structural repair justifications and SRM documentation for metal and composite aircraft structures. Perform static stress/FEM analyses, introduce customer recurrent cases, coordinate technical interfaces, manage subcontracting, and drive continuous improvement and digital transformation within the repair team.

Sell NVIDIA software solutions across assigned EMEA regions: build executive relationships, co-sell with account and channel partners, drive software revenue, manage pipeline/forecasting in SFDC, communicate technical value for virtualized datacenters, cloud-native and AI/ML workloads, coordinate internal resources, and support international travel.

As a Senior AI Process Architect, you will lead the design and implementation of AI workflows in marketing, collaborating with stakeholders to enhance performance and ensure compliance with legal standards.

Develop and improve ML models for structural biology, lead computational discovery projects with external partners, translate research into scientific impact, design and execute protein engineering/discovery campaigns, collaborate with experimental scientists, and apply software engineering best practices.

The Compute Legal Counsel will draft, negotiate contracts, advise on compliance, and support the Compute business with legal expertise.

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

Lead and scale first-line Financial Crime teams (transaction monitoring, fraud, regulatory ops). Build quality and control frameworks, define KPIs, manage day-to-day alert review and SAR processes, drive analytics and automation with Product/Engineering, and deliver regulatory reporting and audit support. Hire, coach, and optimize team performance to improve detection, reduce false positives, and operational efficiency.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

The R&D Data Science Group Leader manages teams in data science and prototyping, overseeing projects, strategy, and collaboration to drive innovation and deliver actionable insights.