At a Glance
- Tasks: Design AI-driven solutions for robotics and lab automation in life sciences.
- Company: Join Sartorius, a global leader in life science technology.
- Benefits: Flexible remote work, competitive salary, and extensive health benefits.
- Why this job: Make a real impact on healthcare innovations and advance your career.
- Qualifications: Master’s or PhD in relevant fields with experience in machine learning and robotics.
- Other info: Collaborative culture with opportunities for personal and professional development.
The predicted salary is between 60000 - 80000 £ per year.
Join our Corporate Research team as a Senior Machine Learning Scientist. We are looking for a Senior Machine Learning Scientist to join the Corporate Research department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI-driven automation for next-generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical companies worldwide. This role requires expertise in Large Language Models (LLMs), Vision-Language Models (VLMs) and multi-agent systems to orchestrate complex, robotics-driven end-to-end experimental and manufacturing workflows.
Working with Sartorius you will have unique access to large scale, high quality biological and process data across different bioanalytics and bioprocess modalities, from live-cell imaging to bioreactor operations and lab instrumentation telemetry. You will also contribute to our collaboration with NVIDIA, using advanced AI computing platforms to accelerate the development of smarter, more autonomous research and manufacturing solutions.
You will join a very talented interdisciplinary and global data science team in Corporate Research that develops AI and advanced analytics solutions that “moves the needle” in what is currently possible. You are driven by curiosity and problem solving, and your personal initiative will translate into innovations that simplify progress for our customers, from early-stage drug discovery to the production of biologics that treat life-threatening and chronic diseases. This position is available full-time, with opportunity to be based remotely in the UK, with required travel regularly to Sartorius relevant sites e.g.: Royston near Cambridge.
Grow with us – Your Responsibilities- You will 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.
In order to commence working with us, the successful candidate will have the right to work in the UK.
What we offerAs a growing global life science company, stock listed on the German TecDAX, Sartorius offers a wide range of 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.
Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide. We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment. Join our global team and become part of the solution. We are looking forward to receiving your application.
Senior Machine Learning Scientist – Advanced AI & Automation employer: Sartorius
Contact Detail:
Sartorius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist – Advanced AI & Automation
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current employees at Sartorius. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in machine learning, robotics, or AI. When you get the chance to chat with recruiters or during interviews, having something tangible to discuss can really set you apart.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your knowledge of LLMs, VLMs, and multi-agent systems. Mock interviews with friends or using online platforms can help you feel more confident when it’s your turn.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Sartorius team. Let’s make it happen!
We think you need these skills to ace Senior Machine Learning Scientist – Advanced AI & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Scientist role. Highlight your experience with LLMs, VLMs, and any relevant projects that showcase your skills in AI-driven automation.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how your background fits. Share specific examples of your work in machine learning and robotics that align with our mission at Sartorius.
Showcase Your Problem-Solving Skills: In your application, emphasise your curiosity and problem-solving abilities. We love candidates who can think outside the box and come up with innovative solutions for complex challenges.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with Sartorius.
How to prepare for a job interview at Sartorius
✨Know Your Stuff
Make sure you brush up on your knowledge of Large Language Models (LLMs) and Vision-Language Models (VLMs). Be ready to discuss how you've applied these technologies in past projects, especially in relation to robotics and lab automation.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to tackle complex problems. Think about specific challenges you've faced in machine learning or robotics and how you approached them. This will demonstrate your curiosity and initiative, which are key traits for this role.
✨Collaborate Like a Pro
Since the role involves working with interdisciplinary teams, be prepared to discuss how you've successfully collaborated with others in the past. Share experiences where you translated technical concepts for non-experts, as effective communication is crucial.
✨Get Familiar with Their Tech Stack
Research Sartorius' existing technologies and tools, especially those related to AI and automation. Understanding their digital and bioprocessing ecosystem will not only impress your interviewers but also help you articulate how you can contribute to their projects.