Software Engineer (MLOps) - H/F/NB

Role overview Ubisoft Entertainment S.A. seeks a Machine Learning Engineer (H/F/NB) for its Paris team. The role centers on designing AI solutions that enhance gameplay and introduce new features for players. What you will do Create and refine machine learning models to support both game development and player engagement. Use data analysis to guide and improve AI-powered features. Work closely with other teams to bring machine learning solutions into Ubisoft games. Location This role is located in Paris.

Join Ubisoft, a global leader in the gaming industry, as an HQ Learning Manager. In this dynamic role, you will be at the forefront of developing and implementing innovative learning strategies for our teams. Your expertise will help enhance our employees' skills and foster a culture of continuous improvement.

Join Ubisoft as a Learning Manager, where you will play a pivotal role in fostering a dynamic learning environment. In this position, you will design and implement innovative learning strategies that enhance employee skills and performance across the organization. Your expertise will guide our teams in developing their potential while driving the success of our projects.

Role Overview iliad-free is hiring a Machine Learning Engineer in Paris. This position focuses on developing and improving products with advanced machine learning techniques, including work with large language models (LLMs). The role sits within the tech and digital teams, where close collaboration drives new solutions for telecommunications challenges. What You Will Do Work alongside technical and digital colleagues to design, build, and refine machine learning models Apply modern algorithms and technologies to real-world product needs Contribute ideas and code that shape current and future projects Impact Results from this work help iliad-free stay competitive and innovative within the telecommunications sector. Contributions in this role have a direct effect on ongoing and upcoming projects.

About the Role Ubisoft Entertainment S.A. is looking for a 3D Animator (H/F/NB) to join the team in Paris. This position focuses on creating engaging character and environment animations for a variety of game projects. What You Will Do Work closely with multidisciplinary teams to develop high-quality animations Contribute artistic and technical skills to shape the look and feel of game worlds Help bring characters and environments to life, supporting the overall vision of each project Location This role is based in Paris.

Ubisoft Entertainment S.A. seeks a Team Lead Machine Learning Engineer in Paris to guide a group of engineers focused on enhancing gaming experiences through advanced machine learning techniques. This leadership role centers on both technical direction and team development within a creative environment. Key Responsibilities Lead a team of machine learning engineers, providing support and direction on project work. Foster collaboration and knowledge sharing among team members. Supervise the design, development, and deployment of machine learning solutions for gaming projects. Role Focus This position emphasizes both hands-on technical oversight and people management. The team works on projects that apply advanced machine learning to improve player experiences in Ubisoft games.

Join our dynamic team at Ubisoft as a Senior Machine Learning Engineer focusing on cutting-edge AI initiatives. In this role, you will leverage your deep understanding of machine learning algorithms and data analytics to develop innovative solutions that enhance our gaming experiences. Collaborate with cross-functional teams to drive AI projects from conception to implementation, ensuring top-notch performance and scalability.

Role overview sia is looking for a Machine Learning Engineer based in Paris. This position centers on building and refining machine learning models and algorithms that power sia’s software and platforms. The goal is to develop solutions that address practical, real-world needs. What you will do Design and develop machine learning models that support sia’s products Work closely with colleagues from various teams to address technical challenges Help enhance and evolve AI-driven features across our offerings Team and culture Join a group of professionals who value technology’s influence and enjoy working together on meaningful problems.

About the Role meilleurtaux is looking for a Machine Learning Operations Engineer to join the team in Paris. This role focuses on improving how machine learning models support business operations. What You Will Do Work closely with teams across the company to put machine learning models into production Ensure smooth integration of these models into daily business workflows Apply machine learning knowledge to strengthen operational processes Location This position is based in Paris.

Join our dynamic team at iliad-free in Paris as a Machine Learning Engineer Intern. This is an exciting opportunity for students or recent graduates to gain hands-on experience in the world of machine learning and large language models (LLM).As an intern, you will work closely with our talented engineers to develop innovative solutions that leverage advanced machine learning techniques. You will have the chance to contribute to real projects and enhance your skills in a collaborative environment.

Become a pivotal member of the Ubisoft AI Initiatives team, where you will help shape the future of information management at Ubisoft. Our projects range from advanced hybrid search systems to sophisticated agentic reasoning applications, all aimed at converting raw data into actionable insights for rapid decision-making. If you are eager to redefine the interaction between humans and AI in solving intricate challenges, this is the perfect opportunity for you.We are looking for a talented Senior Machine Learning Engineer who will be responsible for designing, constructing, assessing, and refining AI models and intelligent systems that drive our applications. Your work will bridge the fields of machine learning research, large-scale data systems, and production engineering, converting state-of-the-art AI innovations into solid, scalable solutions.Key ResponsibilitiesAI System Design & Optimization: Craft, refine, and enhance machine learning models, including those based on large language models (LLMs), retrieval methods, and multimodal systems for practical application.Development of Intelligent Retrieval & Agentic Pipelines: Create and enhance retrieval-augmented generation (RAG) pipelines and agent-based workflows, incorporating embeddings, vector searches, orchestration, and evaluation methodologies.Insight Extraction from AI Utilization: Utilize internal AI platform data (chat interactions, prompts, usage logs) to conduct topic extraction, clustering, and trend analysis, transforming usage patterns into actionable product insights.Model Production & Scaling: Deploy, supervise, and optimize machine learning models in cloud-native environments, ensuring they are scalable, reliable, and cost-effective.Performance Evaluation & Enhancement: Establish evaluation metrics, conduct experiments, and continuously enhance model quality, robustness, and user impact.Collaborative Engineering & Product Integration: Work closely with software engineers, site reliability engineers (SREs), and product teams to integrate AI systems within scalable architectures and deliver impactful solutions.

About NablaAt Nabla, we are a pioneering team of entrepreneurs, clinicians, and engineers dedicated to revitalizing the joy of practicing medicine.In collaboration with a network of clinician innovators, we have leveraged cutting-edge machine learning technologies to create Nabla: the foremost AI assistant that is reestablishing the vital human connection in healthcare. By optimizing clinical documentation, Nabla empowers clinicians to prioritize what truly matters - patient care. Currently, over 85,000 clinicians from more than 130 healthcare organizations rely on Nabla to enhance their daily care delivery.We are embarking on an exciting journey: Ambient listening, dictation, coding, and command capabilities are merging into a proactive assistant that intuitively improves clinical and financial workflows.With a recent $70M Series C funding, we are expanding our team to build the next generation of clinical AI and enhance the lives of clinicians and patients globally.Join us at this pivotal moment!Leading AI Solutions for HealthcareNabla's impressive growth is the culmination of three years of dedicated product development.Our team, guided by former Meta AI Research engineers, consistently foresees how AI can transform healthcare delivery. The Machine Learning division continually harnesses the latest innovations to realize AI's full potential in healthcare.Notably, Yann LeCun, Meta’s Chief AI Scientist and Turing Award recipient, serves as an advisor to Nabla.Engineering Culture at NablaOur engineering environment is streamlined, agile, and highly technical. Our teams encompass machine learning, native desktop applications, and platform infrastructure to deliver AI solutions in clinical settings reliably and at scale.Your RoleAs a Senior Machine Learning Engineer, you will be instrumental in transforming clinicians’ workflows, enhancing patient care, and ensuring Nabla stays at the forefront of AI advancement. You will take the lead on impactful projects and play a key role in the maturation of our products, contributing to the overall success of our mission.

Join Ubisoft as a Prompt Specialist where you will play a pivotal role in driving our strategic innovation initiatives. Your expertise in prompt engineering will help shape the future of our interactive experiences. Collaborate with cross-functional teams to develop and refine prompts that enhance user engagement and streamline our creative processes.

nexton is looking for a Lead Data Engineer / Machine Learning Specialist to join its Paris team. This role centers on developing and refining data solutions that help achieve business objectives and improve daily operations. Key responsibilities Design and construct data pipelines for analytics and machine learning projects Enhance data flows to ensure reliability and efficiency Collaborate with teams throughout the company to align data efforts with strategic goals Use machine learning techniques to uncover insights and inform business decisions What to expect at nexton Projects at nexton rely on the intersection of data and technology to create measurable business results. The team values teamwork and practical approaches that deliver real impact.

Join our innovative team at Winamax as a Senior Machine Learning / AI Engineer. You will play a pivotal role in developing and implementing machine learning models that drive our data analytics and enhance user experiences. If you are passionate about harnessing AI technologies and enjoy working in a dynamic environment, we invite you to apply!

Join Ubisoft as a Learning Assistant in our Paris headquarters for a rewarding 12-month apprenticeship starting in September 2026. This role offers an exciting opportunity to immerse yourself in the gaming industry while gaining hands-on experience in a collaborative environment.As a Learning Assistant, you will support various learning initiatives, contribute to the development of training materials, and assist in organizing workshops and events. This position is perfect for those eager to expand their knowledge and skills in a dynamic setting.

Join our innovative team at jobteaser as a Machine Learning Engineer. In this role, you will be instrumental in developing cutting-edge machine learning models that will drive our data initiatives forward. Your expertise will help us harness the power of data to enhance our services and provide exceptional value to our users.We are looking for a passionate engineer who thrives in a collaborative environment and is eager to tackle complex problems. If you have a strong background in machine learning and a desire to make a real impact in the tech industry, we want to hear from you!

Join Our Team as a Machine Learning EngineerAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems that make a meaningful impact. With our recent $200 million Series B funding, which has propelled our valuation to $1.4 billion, we are expanding our innovative teams to deliver essential systems to allied forces.Our core values include a commitment to technological advancement with real-world applications, a relentless pursuit of excellence, ambitious goal-setting, and tackling the most complex technical challenges. We thrive in an environment where high standards, accountability, and execution are paramount.Role OverviewAs a Machine Learning Engineer on our Foundational team based in Paris, you will be crucial in developing the cognitive capabilities of our tactical robots. Your primary responsibility will be to architect and scale large, multi-modal foundational models that derive robust battlefield representations through Self-Supervised Learning (SSL) from extensive unlabelled Electro-Optical (EO) and Infrared (IR) data. These foundational weights will empower our Edge AI team to create highly accurate models for tactical hardware.Key ResponsibilitiesArchitectural Design: Innovate neural network architectures (such as Vision Transformers) and loss functions (including Masked Autoencoders and Contrastive Learning) to effectively learn from both paired and unpaired EO and IR datasets.Training Infrastructure Management: Oversee and enhance training pipelines across multi-node GPU clusters, optimizing mixed-precision training and data loading processes.Evaluation of Representations: Establish metrics and linear-probing benchmarks to validate that the latent space captures meaningful semantic features prior to model distillation.Data Strategy Development: Assess current EO/IR data lakes and implement cross-attention mechanisms to integrate diverse sensor features.Collaboration: Work closely with Data Engineers on data ingestion pipelines and partner with the Edge AI team to ensure seamless transitions of high-performance models.

About Mistral At Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, boost productivity, and foster creativity. Our innovative technology is designed for seamless integration into everyday workflows.We are committed to democratizing AI with high-performance, optimized, and cutting-edge open-source models, products, and solutions. Our extensive AI platform caters to enterprise needs in both on-premises and cloud environments. Among our offerings is le Chat, the AI assistant designed to enhance both personal and professional life.As a dynamic and collaborative team, we are passionate about AI and its potential to revolutionize society. Our diverse workforce thrives in competitive settings, dedicated to driving innovation. With teams located in France, the USA, the UK, Germany, and Singapore, we embody creativity, humility, and a strong team spirit.Join us at Mistral to help shape the future of AI and make a significant impact together. Discover more about our culture at https://mistral.ai/careers.Role SummaryAs a Machine Learning Engineer focused on open-source software, you will be pivotal in releasing state-of-the-art models and enhancing Mistral’s publicly available libraries. Your contributions will facilitate the transformation of research breakthroughs into practical solutions, significantly enriching Mistral's open-source ecosystem.About the Open Source Software TeamOur Open Source Software team collaborates closely with the Science team and various engineering and marketing departments. Members of the OSS team can navigate between production and research roles based on project demands and personal interests.Key Responsibilities• Release our advanced models on open-source platforms and libraries, such as vLLM, GitHub, and Hugging Face.• Maintain Mistral’s open-source libraries, including mistral-common, mistral-finetune, and mistral-inference.• Develop and maintain both internal and external-facing tools and services to support research and open-source initiatives.