Senior Machine Learning Scientist - Advanced AI Focus - Remote

We are looking for a Senior Machine Learning Scientist to join the Corporate Research 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 are looking 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.

Responsibilities

• 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.

Qualifications

• Master's 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.
• 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.

Experience Level

Senior (5+ years of experience)

Work Arrangement

Remote location possible in the UK or Germany with regular travel to Sartorius sites (e.g., Royston near Cambridge).

Company

Sartorius

In order to commence working with us, the successful candidate must have the right to work in the UK.

What We Offer

As a growing global life 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: 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