Design and deploy AI – driven solutions for robotics, lab automation and smart instruments, including orchestration of liquid handling systems, incubators, imaging devices and analytical sensors
Develop and optimize architectures leveraging LLMs and VLMs for multimodal perception, control and exception
handling in automated laboratory and manufacturing workflows
Build intelligent scheduling and planning agents to coordinate fleets of devices and robots, enabling closed-loop experimentation, process optimization and autonomous lab operations.
Apply graph-based and sequential models to represent experimental workflows, material flows and equipment state, improving predictive maintenance and process robustness.
Integrate AI agents with automation frameworks, messaging systems and device APIs to enable reliable data and command flows across Sartorius’ digital and bioprocessing ecosystem.
Collaborate closely with robotics, software, process engineering and product teams to translate user needs into robust, production-grade AI and automation capabilities

Master’s or PhD degree in Computer Science, Robotics, Machine Learning, Control Engineering or related disciplines
Experience with LLMs (e.g.: GPT, LLaMA) and VLMs (e.g.: CLIP, Flamingo) applied to perception, workflow guidance or automation use cases
Hands on experience with multi – agent systems and orchestration frameworks or robotics middleware (e.g.: ROS, OPC UA, message queues)
Practical experience with robotics, lab automation, industrial automation or autonomous systems; exposure to life science or bioprocess environments is a strong plus
Proficiency in Python and deep learning frameworks such as PyTorch or Tensorflow
Basic knowledge of graph theory, planning or reinforcement learning and their application to decision – making in complex systems
Understanding of distributed systems, APIs and cloud – based deployment of AI and automation services
Ability to communicate complex technical concepts to interdisciplinary teams and non
experts
You describe yourself as a conceptual and creative thinker with excellent organizational and communication skills (both written and verbal)
You have the ability to work collaboratively with colleagues within a large, matrix – based organization

Personal and Professional Development: mentoring, leadership programs, LinkedIn Learning, internal seminar offerings
Work-life Balance: Remote options, flexible work schedules
Making an impact right from the start: Comprehensive onboarding, including a virtual online platform – even before joining
Welcoming Culture: Mutual support, team-spirit and international collaboration; communities on numerous topics such as coaching, agile working and businesswomen network
Health & Well-Being : Wide section of health and well-being support such as healthcare plans and health assessment services
Attractive Working Conditions: 37.5 hours working week
25 days annual leave, plus public holidays
Free parking on site
Annual option to buy, sell or carry forward annual leave
Free hot and cold drinks
Regular social events and free exercise classes
Competitive benefits package, including: Group Personal Pension Plan, Private Medical Insurance, Private Dental Insurance, Group Life Assurance, Group Income Protection, Cycle to work scheme

Senior Machine Learning Scientist – Advanced AI, Automation

Key skills