Join our Corporate Research team as a Senior Machine Learning Scientist at Sartorius. You will leverage modern machine learning, computer vision, robotics, and large language models to design AI‑driven automation for next‑generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical companies worldwide.
Grow With Us – Your Responsibilities
* 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.
What Will Convince Us
* 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.
* Conceptual and creative thinker with excellent organizational and communication skills (both written and verbal).
* Ability to work collaboratively with colleagues within a large, matrix‑based organization.
In The UK – Relocation & Work Eligibility
In order to commence working with us, the successful candidate will have the right to work in the UK.
What We Offer
* Personal and Professional Development: mentoring, leadership programs, LinkedIn Learning, internal seminar offerings.
* Work‑life Balance: Remote options, flexible work schedules.
* Onboarding: Comprehensive onboarding including a virtual online platform before joining.
* Culture: Mutual support, team spirit and international collaboration; communities on coaching, agile working and businesswomen network.
* Health & Well‑Being: 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.
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