Senior Machine Learning Scientist – Advanced AI Focus – Remote

Sartorius Stedim

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profile Job Location:

Hertfordshire - UK

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Join our Corporate Research team as a Senior Machine Learning Scientist.

We are looking for a Senior Machine Learning Scientist to join the Corporate Reserach department at Sartorius. As an applied Machine Learning Scientist you will use your expertise in modern computer vision methodology to improve world-leading Sartorius cell imaging products routinely used by major companies across the life science and biopharmaceutical industry. This role requires expertise in Large Language Models (LLMs) Vision Language Models (VLMs) with a strong emphasis on multi agent systems for orchestrating complex workflows.

Working with Sartorius you will have unique access and ability to generate large - scale annotated and high quality biological datasets across different bioanalytics modalities including live cell imaging. You will also be directly involved in our collaboration with NVIDIA to accelerate and scale the development of new and better therapies with AI powered computing platforms and software.

You will join our very talented interdisciplinary and global data science team in Corporate Research that develop AI/advanced data analytics solutions that moves the needle in what is currently possible. You are a person driven by curiosity and ability to solve any problem. This combined with a personal drive and focus will result in innovations that make a real difference and significantly contribute to simplify progress for our customers from drug development to production of biologics that treat life threatening and chronic diseases and brings better health for millions of people. We arelooking forward to shaping the future with you.

This position is available full-time with the opportunity to be based remotely in the UK or Germany with regular travel to relevant Sartorius sites e.g. Royston near Cambridge.

Grow with us YourResponsibilities

  • You will develop and deploy AI driven solutions for microscopy image analysis and related biotechnology predictions

  • Design and optimize architectures leveraging LLMs and VLMs for multimodal data interpretation

  • Apply graph theory principles to model biological networks and enhance predictive analytics

  • Build and manage multi agent frameworks for automated data processing and decision making

  • Collaborate with cross functional teams to integrate AI solutions into Sartorius bioanalytics ecosystem

What will convince us

  • Masters or PhD degree in Computer Science Machine Learning or related disciplines

  • Experience with LLMs (e.g.: GPT LLaMA) and VLMs (e.g.: CLIP Flamingo)

  • Hands on experience with multi agent systems and orchestration frameworks

  • Familiarity with microscopy imaging and life science data is a plus

  • Proficiency in Python and deep learning frameworks (PyTorch Tensorflow)

  • Basic knowledge in graph theory and its applications in AI

  • Knowledge of distributed systems and cloud based AI deployment

  • Experience with reinforcement learning and agent based modeling

  • Ability to communicate complex technical concepts to interdisciplinary teams

  • 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 must have the right to work in the UK.

What we offer

Asa growing globallife science company stock listed on the German DAX and TecDAX Sartorius offers a wide range of benefits:

  • Personal and Professional Development: Mentoring leadership programs internal seminar offerings

  • Work-life Balance: Remoteoptions flexible work schedules

  • Making an impact right from the start: Comprehensive onboarding including a virtual online platformeven before joining

  • Welcoming Culture: Mutual supportteam-spirit and international collaboration; communities on numerous topics such as coaching agile working and businesswomennetwork

  • Health & Well-Being: Wide section of health and well-being support such as healthcare plans and health assessment services

Benefits

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

About Sartorius

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.
Experience:

Senior IC

Join our Corporate Research team as a Senior Machine Learning Scientist.We are looking for a Senior Machine Learning Scientist to join the Corporate Reserach department at Sartorius. As an applied Machine Learning Scientist you will use your expertise in modern computer vision methodology to improve...
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Key Skills

  • Laboratory Experience
  • Mammalian Cell Culture
  • Biochemistry
  • Assays
  • Protein Purification
  • Research Experience
  • Next Generation Sequencing
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Flow Cytometry

About Company

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Sartorius offers solutions for the biopharmaceutical industry and laboratories, from drug discovery and development to production platforms for biomanufacturing.

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