Senior Machine Learning Engineer at Veeva | Berlin, Germany

At Veeva Systems, we are dedicated to transforming the life sciences sector through innovative cloud solutions. Our mission is to expedite the delivery of therapies to patients, making a tangible difference in their lives. As one of the fastest-growing SaaS companies ever, we achieved over $3 billion in revenue last year and continue to expand our horizons. Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our operations. In 2021, Veeva made history by becoming a public benefit corporation, committed to balancing the interests of our customers, employees, society, and investors. As a Work Anywhere company, we value flexibility, allowing you to choose between working from home or in the office, ensuring you thrive in your preferred environment. Join us in revolutionizing the life sciences industry, as we strive to create a positive impact on our customers, employees, and the broader community.The RoleAt Veeva Data Cloud, we offer connected data solutions tailored for Life Sciences, enhancing insights and improving efficiency through a unified data architecture. Our AI team is at the forefront of developing a comprehensive suite of AI tools that empower our global product offerings. Collaborating with over 3,000 data stewards, we combine cutting-edge ML and AI models with human expertise to convert data into actionable insights, speeding up clinical innovation and improving patient access to essential treatments.We are seeking a talented Senior Machine Learning Engineer to join our cross-functional team of data scientists, engineers, and product managers, focusing on the productization and scaling of our AI tools.As a work-anywhere company, you will have the freedom to work from home or the office, emphasizing productivity in an environment that suits you best.

Role Overview Reprisk is hiring a Senior Machine Learning Engineer in Berlin. This position focuses on building and improving machine learning systems that support risk management products. The role centers on strengthening data processing and improving predictive models used throughout the company.

At Veeva Systems, we are pioneering the industry cloud for Life Sciences, enabling companies to operate more efficiently and collaboratively. To learn more about our innovative products, vision, and values, visit our website.Veeva Services is dedicated to ensuring our customers achieve success with our products. Our service team collaborates closely with clients to implement, utilize, and innovate with our technology. As a unique blend of a services firm within a product company, we leverage deep product and industry expertise to help customers reach their goals, with one primary objective: customer success.Our people are our greatest asset; we are always on the lookout for talented individuals who are passionate about technology and adept at solving complex problems to join our dynamic team.*We are currently hiring for start dates in April 2026, July 2026, and October 2026.Please note that candidates should apply to only one Generation Veeva program.The RoleWe are seeking recent university graduates to cultivate the next generation of service consultants through our Consultant Development Program. This impactful, client-facing role involves solving intricate business challenges while engaging with technology on a daily basis.We are committed to encouraging high-potential individuals to strive for excellence. Our program is designed to foster a challenging environment where you will learn quickly, contribute effectively, and be entrusted with substantial responsibilities from the outset.No prior experience in life sciences or technology is necessary. Bring your enthusiasm and eagerness to learn; we will provide you with industry education, technical training, and ample opportunities to enhance your consulting skills and advance your career.

Join Veeva Systems, the innovator behind the industry cloud for Life Sciences! Our mission is to empower companies to operate more efficiently and collaboratively. Explore our cutting-edge products and our commitment to being a public benefit corporation on our website. At Veeva Services, we ensure our customers thrive with our technology. Our dedicated services team partners with clients for implementation, utilization, and innovation. As a unique blend of a services firm within a product company, we leverage deep product knowledge and industry insight to help our customers reach their objectives. Our ultimate goal? Customer success. We recognize that exceptional people provide exceptional services; hence, our team is our greatest asset. We are constantly on the lookout for talented individuals who are passionate about technology and adept at solving complex problems to join our ranks. * We are currently hiring for start dates in July 2026 and October 2026. We advise candidates to apply to only one Generation Veeva Program. The Technical Services Role We are seeking recent university graduates to develop the next generation of technical consultants through our Consultant Development Program. As an Associate Technical Consultant, you will engage with customers, focusing on integration, custom development, DevOps, Veeva AI, and data migration. We believe in nurturing high-potential individuals to achieve excellence. Our program is tailored to foster a challenging environment where quick learning, immediate contribution, and early empowerment come together.

Join Almedia, a dynamic and innovative company where ambition meets opportunity. As we strive to become Germany’s next bootstrapped unicorn, we are proud to be recognized as Europe’s third fastest-growing company in 2025 according to the FT1000.At Almedia, we are revolutionizing the marketing landscape by enabling our vast community of over 60 million users to earn rewards for interacting with our advertisers' products, providing a unique approach to user acquisition for major global brands.Machine Learning EngineerIn this pivotal role, you will be responsible for the design, development, and scaling of production-grade machine learning solutions that drive the innovation of Almedia’s offerings and support our growth trajectory.This is a hands-on position where you will actively engage in coding, development, and deployment of solutions.Key Challenges You Will Tackle:Creating and optimizing user reward systems tailored to player behavior and market trends.Spearheading the development of personalized, real-time reward mechanisms.Identifying and addressing underperforming reward initiatives and their underlying issues.Your Responsibilities Include:Overseeing the complete delivery lifecycle: develop, deploy, and optimize scalable solutions and services.Providing technical guidance on ML projects, upholding best practices and ensuring high coding standards.Aligning technical capabilities with business goals to capitalize on high-value opportunities.Utilizing advanced statistical and causal inference techniques to secure robustness and reliability in solutions.Collaborating with product and engineering teams to convert business challenges into predictive, data-driven solutions.Qualifications Required:Demonstrated expertise in building, deploying, and maintaining production-level solutions and services, preferably in adtech or high-scale environments.Solid understanding of statistical analysis (A/B testing, regression, probability).Proficient in programming with Python and SQL, with practical experience in cloud technologies.Proven ability to mentor and guide ML engineers and cross-functional colleagues.Excellent communication skills and a collaborative mindset.

Veeva Systems is a mission-driven leader in the industry cloud, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies, our revenue exceeded $3 billion last fiscal year, with promising growth opportunities on the horizon. Guided by our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—we achieved a historic milestone in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors. As a Work Anywhere company, we prioritize your flexibility to work from home or in the office, fostering an environment where you can excel. Join us in transforming the life sciences industry, as we strive to create positive impacts for our customers, employees, and communities.The RoleAs a key member of the Veeva Link product team, you will contribute to our goal of becoming the global leader in deep data for life sciences. We are seeking a meticulous and seasoned Data Analyst who will be instrumental in establishing a robust data governance framework, ensuring the accuracy, completeness, and integrity of our data assets. Your responsibilities will include implementing data quality monitoring processes, identifying the root causes of data discrepancies, and collaborating with cross-functional teams to address data inconsistencies.To excel in this position, you should possess strong skills in SQL and Python for data manipulation and automation. You should be proficient in working with large datasets, designing insightful dashboards with actionable insights, and applying statistical methodologies to enhance data quality.The ideal candidate will have a background in creating documentation such as process manuals and data collection guidelines, and will actively contribute to the development of data governance policies and best practices.

Join Perplexity as a skilled Machine Learning Research Engineer, where you will play a pivotal role in developing cutting-edge search technologies focusing on retrieval and ranking mechanisms.Key Responsibilities:Proactively enhance search quality through innovative models, data strategies, tools, and other effective means.Design and construct essential components of our advanced search platform and model architecture.Create, train, and fine-tune large-scale deep learning models utilizing frameworks like PyTorch, with an emphasis on distributed training and hardware acceleration for retrieval and ranking.Engage in advanced research on representation learning, including contrastive learning and multilingual, multimodal modeling tailored for search and retrieval applications.Implement and deploy models effectively, ranging from boosting algorithms to large language models, ensuring scalability and performance.Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for accurate grounding and answer generation.Collaborate across Data, AI, Infrastructure, and Product teams to ensure swift and high-quality project delivery.

Veeva Systems is at the forefront of transforming the Life Sciences industry with our innovative industry cloud solutions. Our mission is to empower companies to operate more efficiently and collaboratively. Discover our product offerings, corporate vision, and values, as well as our commitment as a public benefit corporation on our website. At Veeva, we are redefining consulting in the Life Sciences sector. Since the inception of our Business Consulting division in 2019, we have rapidly expanded to a global team of over 400 professionals. Our focus is on enhancing efficiency and effectiveness within the Life Sciences realm by integrating software, data, and consulting expertise. With ambitious growth projections leading into 2030, we are on the lookout for exceptional talent to join our journey.The RoleWe are seeking motivated individuals eager to transition into Life Sciences Consulting through our Master Class Program. Embarking on a consulting career after a different professional path can be challenging. Our program serves as a compelling alternative to an MBA, specifically designed to develop aspiring professionals into impactful Business Consultants within the Life Sciences sector.During the early stages of the program, you will manage essential workstreams in customer-facing projects, crafting high-impact business solutions while collaborating with colleagues across all levels of Veeva. You will be equipped with the necessary tools and resources to fast-track your development in consulting skills. Our Business Consulting team devises effective strategies for business and operational improvements, leveraging Veeva's unparalleled industry insights and cutting-edge technology. Our services aim to accelerate drug development, enhance treatment launches, and optimize customer engagement.

The AML AI Engineering Squad, a dynamic cross-functional team within the Risk & Compliance tribe, is at the forefront of developing state-of-the-art data products and machine learning solutions. Our mission is to enhance Transaction Monitoring and safeguard our merchant base against Money Laundering and Financial Crime. We leverage automation, AI, and engineering excellence to create innovative products that empower Risk and AML teams to operate more intelligently and efficiently.As a Senior Data Engineer, you will play a pivotal role in establishing a robust, high-quality data foundation that enhances efficiency, drives AI-driven automation, and facilitates data-informed decisions for our Risk and AML teams. Your expertise will be crucial in building and maintaining data pipelines within our system, ensuring that analysts, product managers, and AI systems have access to reliable and trusted data.Join us in shaping the future of financial safety and making a significant impact!

Join Intercom, the leading AI Customer Service company, dedicated to empowering businesses to deliver exceptional customer experiences.Our AI agent, Fin, stands out as the most sophisticated customer service AI solution available, enabling companies to provide constant, flawless service and revolutionize their customer interactions. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite, which offers AI-enhanced support for intricate or high-touch inquiries that necessitate human intervention.Founded in 2011, Intercom is trusted by nearly 30,000 global businesses and is committed to redefining customer service standards. Our core values inspire us to innovate relentlessly, operate with speed and intensity, and consistently provide remarkable value to our clients.We believe Berlin is an ideal city for those who share our passion for speed and innovation. The city boasts a unique combination of deep technical expertise and a vibrant creative culture, making it a hub for top-tier talent eager to collaborate on ambitious projects. With close ties to our R&D centers in Dublin and London, Berlin is where the best minds come together to thrive.As we aim to expand our team by hiring 100 professionals across engineering, AI, data science, product, and design over the next year, this is an exciting opportunity to be among the pioneering R&D talents in the region and leave a lasting mark as we develop the world's leading customer agent.What’s the Opportunity?The Machine Learning team at Intercom is at the forefront of defining new ML features, researching cutting-edge algorithms and technologies, and swiftly delivering prototypes to our customers.We are a highly product-focused team, collaborating closely with Product and Design teams. Our dedicated ML product engineers enable rapid transitions to production, often launching beta versions within weeks of successful offline testing.Our passion for machine learning drives us to explore and productize everything from conventional supervised models to advanced unsupervised clustering algorithms and innovative transformer neural network applications. We rigorously test and assess the real customer impact of every model we deploy.What Will I Be Doing?Identify opportunities where ML can generate value for our customers.Determine the optimal ML framing for product challenges.Collaborate with team members and Product and Design stakeholders.

Veeva Systems Inc. is a purpose-driven leader in the industry cloud, dedicated to accelerating the delivery of therapies to patients. As one of the most rapidly expanding SaaS companies in history, we achieved over $2 billion in revenue last fiscal year, with substantial growth opportunities on the horizon.Our core values at Veeva are: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just a public company; we made history in 2021 by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we empower you to choose your optimal work environment, whether it's from home or in the office.Join us in transforming the life sciences industry, as we strive to create a positive impact on our customers, employees, and the communities we serve.The RoleAs an Engagement Manager in our R&D Consulting team, you will lead innovative consulting projects tailored for Veeva's clients in the research and development sector. This role will involve managing teams, overseeing project delivery, and ensuring all aspects of the consulting process are meticulously planned and executed. You will play a crucial role in enhancing our brand presence in the market, expanding our customer network, and securing new projects that address complex business challenges. Your focus will be on pivotal areas including Clinical Development, Regulatory Affairs, Pharmacovigilance/Drug Safety, and Quality Management.

Trinetix is seeking a talented AI Engineer to join our innovative team.As a part of Trinetix, you will work on exciting projects with a leading global telecommunications company that operates one of the most reliable internet backbones across over 100 countries. In this role, you will contribute to ambitious AI initiatives aimed at enhancing network operations through intelligent automation, predictive analytics, and AI-enabled workflows.Your work will involve developing GenAI applications, AIOps intelligence, and RAG-based systems, helping to revolutionize the monitoring, analysis, and operation of complex telecom infrastructures. This position integrates engineering, data science, and product strategy to deliver AI solutions that have a significant business impact.Join us to advance your career in a vibrant international setting while playing a pivotal role in shaping the future of AI-enhanced network operations.

Veeva Systems is a purpose-driven leader in the industry cloud, dedicated to assisting life sciences organizations in expediting the delivery of therapies to patients. As one of the fastest-growing SaaS enterprises, we achieved over $2 billion in revenue last fiscal year, with substantial growth opportunities on the horizon.Our core values at Veeva include: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just another public company; in 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we empower you with the flexibility to work from home or in the office, allowing you to flourish in your optimal environment.Be part of our mission to transform the life sciences sector, and make a meaningful difference for our customers, employees, and communities.

Machine Learning Engineer Company Overview At Orcrist Technologies, we are pioneers in building the Orcrist Intelligence Platform (OIP), a cutting-edge Kubernetes-based data intelligence system. Our platform is offered as either SaaS or a self-hosted/on-premises solution, including air-gapped deployments. We integrate data processing, machine learning, and artificial intelligence within a modern web application to empower mission-critical clients across both public and private sectors. Role Overview As a Machine Learning Engineer, you will spearhead the incubation and validation of new ML initiatives from conception to execution. In this innovative role, you will create adoption-ready prototype vertical slices that encompass data flows, model serving, evaluation, and seamless product integration. You will ensure clear handoff of artifacts to delivery teams so they can effectively productize and maintain them for the long haul. Key Responsibilities Develop ML prototype vertical slices that bridge data ingestion and processing with inference and end-user product outcomes (such as search functionalities, insights generation, and user experience flows). Establish evaluation harnesses and decision-making artifacts including datasets, baselines, and performance metrics (quality, latency, cost), along with actionable go/no-go recommendations. Package prototypes for seamless adoption: containerize services, specify reproducible deployment strategies, and create comprehensive runbooks/checklists. Collaborate with Research and Data Engineering teams for dataset curation, annotation processes, experiment tracking, and iterative improvements. Ensure operational credibility of prototypes through instrumentation, monitoring, and foundational security/compliance practices (including handling of personally identifiable information and provenance considerations). Candidate Profile A minimum of 3 years of experience in ML engineering or MLOps, with a proven track record of delivering tangible systems. Proficient in Python and experienced with PyTorch/Transformers; adept at transforming models from notebooks into deployable services. Hands-on experience with Kubernetes and containerization; capable of deploying and troubleshooting within production-like environments, including offline or air-gapped constraints. A strong evaluation mindset and monitoring discipline; effective in clearly articulating trade-offs. Eligibility to work in Germany; EU or NATO citizenship is preferred, and export-control screening applies. Preferred Qualifications Experience with GPU serving and optimization techniques (e.g., Triton/KServe, ONNX/TensorRT, batching, quantization). Familiarity with streaming and pipeline tools (e.g., Kafka, Ray, Beam/Flink/Spark) and integrations involving search, vector, and graph technologies. Proficiency in the German language (B1+) and/or experience working with regulated or public-sector datasets and workflows. What We Offer A modern ML stack designed to operate within real-world constraints: Kubernetes, streaming technologies, and hybrid/on-prem/air-gapped deployments. A remote-first work environment in Germany, complemented by regular workshops in Berlin, 30 days of vacation, and support for equipment and learning budgets. High impact: your prototypes will pave the path for groundbreaking solutions.

Role Overview Delivery Hero SE is looking for a Senior Software Engineer focused on Machine Learning to join the quick commerce group in Berlin. This role centers on building and refining machine learning solutions that support and improve our rapid delivery operations. What You Will Do Design, implement, and optimize machine learning algorithms and models for quick commerce applications. Work closely with cross-functional teams to translate business needs into technical solutions. Apply machine learning expertise to boost operational efficiency and enhance customer experience. Contribute to projects that help Delivery Hero respond quickly to changing market demands. About the Team Join a group of engineers and specialists dedicated to advancing Delivery Hero’s quick commerce services. Collaboration across teams is a core part of the work, with each member’s input shaping the direction and impact of our products.

Veeva Systems is at the forefront of revolutionizing the Life Sciences industry by developing a comprehensive industry cloud aimed at enhancing operational efficiency and connectivity among companies. Discover more about our innovative products, vision, and values on our website. In a rapidly evolving consulting landscape, we differentiate ourselves from conventional firms. Veeva Business Consulting was established in 2019 and has quickly expanded to a global team of over 400 professionals. Our mission is to enhance the efficiency and effectiveness of the Life Sciences sector through a synergistic approach combining software solutions, data insights, and consulting expertise. As we look towards significant growth in Business Consulting by 2030, we are on the lookout for exceptional talent to join us in this journey.The RoleWe are seeking high-potential individuals early in their careers who are eager to transition into Life Sciences Consulting through our Master Class Program.Transitioning into business consulting from a different career path can be challenging. Our program serves as an alternative to traditional MBA pathways, intentionally crafted to develop aspiring professionals into impactful Business Consultants within the Life Sciences domain.In the initial stages of the program, you will manage critical workstreams on customer-facing projects, devising high-impact business solutions while collaborating with team members across all levels of Veeva. You will receive the tools and resources necessary to expedite your consulting skills development. Our Business Consulting team focuses on devising effective business and operational improvement strategies, leveraging Veeva’s unparalleled industry insights and leading-edge technology. Our services are designed to accelerate drug development, optimize treatment launches, and enhance customer engagement.

At Veeva Systems, our mission is to empower life sciences companies to expedite their journey in bringing innovative therapies to patients. As a trailblazer in the industry cloud sector, we achieved over $2 billion in revenue last fiscal year and continue to experience remarkable growth potential.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—drive our distinct culture. In 2021, we proudly became a public benefit corporation, dedicated to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere organization, we promote a flexible work environment, enabling you to work from home or our office, ensuring you thrive in your ideal setting.Join our mission in transforming the life sciences landscape and making a meaningful impact on our customers, employees, and communities.Position OverviewAs a Consultant for Veeva Align, you will play a pivotal role in implementing our field planning and territory management solutions for life sciences clients. Veeva Align integrates seamlessly with Vault CRM to optimize commercial coverage across various markets, aiding organizations in enhancing territory design, roster management, targeting, and cycle planning to ensure field teams connect with the right customers at the optimal time.With the increasing demand for Vault CRM and Align solutions across Europe, we seek a talented Consultant who can effectively deliver Align implementations. You will collaborate closely with Commercial Operations and IT teams to translate business processes into scalable configurations, facilitate smooth integration with Vault CRM, and promote the adoption of best practices among commercial teams.This position demands a strong analytical mindset, exceptional communication skills, and the ability to guide clients through critical facets of their field planning transformation journey.

At SoundCloud, we empower artists and fans to connect through the power of music. Established in 2007, SoundCloud is a leading artist-first platform, enabling musicians to build and elevate their careers with cutting-edge tools, services, and resources. With a vast library of over 400 million tracks from 40 million artists, SoundCloud is shaping the future of music.We are actively seeking a Senior Machine Learning Engineer to join our Recommendations Experience team. This role focuses on developing machine learning-driven features that enhance personalization, engagement, and overall satisfaction for our users. In this position, you will leverage strong engineering principles while working across the entire technology stack, from data pipelines and APIs to real-time serving systems. The Recommendations team is responsible for deploying ML-powered features that connect over 200 million users with music tailored to their preferences.In this role, you will take ownership of features from conception to deployment: collaborating with Product and Design teams to understand user needs, architecting data pipelines that process billions of events, and building robust production ML systems that balance performance, cost, and user satisfaction. You will work with technologies such as BigQuery (handling trillions of rows), Airflow orchestration, real-time serving infrastructure (BigTable), and APIs, while engaging in continuous collaboration with Product, Design, Engineering, and Platform teams.Key Responsibilities:Develop, test, and productionize machine learning models.Make informed technical decisions factoring in cost, latency, complexity, and maintainability.Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to create reliable and scalable solutions.

At SumUp, our mission is to empower small businesses by providing them with accessible and user-friendly tools for payments, finance, and customer relationships. We are a dynamic team grounded in our core values: Founder’s Mentality, Team First, and We Care. We foster an organization that is people-oriented, disciplined, and consistently innovating from within. Agility is at the heart of what we do, and we strive to create an environment that nurtures it. As part of our Global Operations team, you will play a pivotal role in enhancing the customer experience in fintech. The Senior AI/ML Engineer position is essential for the development and deployment of cutting-edge AI solutions that streamline support processes and significantly enhance the experience for our merchants and support agents. You will be a central figure in building and maintaining the ML infrastructure and tools that support our core products utilizing advanced AI/ML models. This role is vital for sustaining our growth, particularly as we expand complex applications such as our AI Assistant and translation tools.

About UsHelsing is a cutting-edge AI company dedicated to advancing defense technologies. Our mission is to safeguard democratic values and ensure that societies can make autonomous decisions while upholding ethical standards. We are committed to responsible technology development and deployment, particularly in the realm of AI.Our team comprises driven engineers, AI experts, and client-facing program managers united by a common purpose: tackling the most challenging and significant problems. We foster a culture of transparency and encourage open discussions surrounding the ethical implications of technology in defense.The PositionAs an AI Research Engineer at Helsing, you will be at the forefront of innovating autonomous decision-making systems for defense. Your work will encompass a wide range of AI applications, including extensive data processing, reinforcement learning agent training, and the development of large-scale foundational models. Collaborating within a diverse team, your responsibilities will include architecting and implementing robust tools and platforms that drive these advancements. You will focus on abstracting complex distributed systems to enhance training efficiency and developer productivity. We seek engineers who can effectively blend machine learning with systems engineering to create scalable solutions.Key Responsibilities:Enhance our integrated deep learning frameworks, built on PyTorch, to make them efficient and user-friendly across various applications.Expand our infrastructure and tooling to facilitate faster and larger-scale distributed training.Devise data strategies to manage extensive datasets effectively.