Senior Machine Learning Scientist – Advanced AI, Automation
Sartorius
full-time
Posted on:
Location Type: Hybrid
Location: Royston • United Kingdom
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Job Level
About the role
- 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
Requirements
- 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
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI solutionsroboticslab automationsmart instrumentsLLMsVLMsPythondeep learninggraph theoryreinforcement learning
Soft Skills
communicationorganizational skillscollaborativeconceptual thinkingcreative thinking
Certifications
Master’s degreePhD degree