For over 25 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders. This mission has been further scaled with Abcam now being part of the Danaher family. We believe that to continue making progress, we need to work together, each bringing our own unique perspectives to make an impact. This community needs people like you: dedicated, agile, and above all audacious so we can truly drive science forward. We are looking for a Principal AI Engineer, who is the technical and people leader of AI Engineering at Abcam and for Danaher AI Initiatives. This permanent role is located in Cambridge, UK, will be on-site and sits in Abcam's Data Science and AI team, working at the forefront of AI innovation in life sciences. You will report to the Director of Data Science and AI and be responsible for developing, scaling, embedding and operating AI solutions. We would like to welcome you as a valued member in our collaborative international team of AI Engineers, Data Scientists, Data Engineers, Data Analysts, Data and AI Governance Specialists, AI Integration Manager, Delivery Manager and UX/UI and Software Developers, all working together to integrate and scale AI for Abcam and Danaher, with the aim to increase business success. Key Responsibilities: - Lead AI Engineering, both technically and in line management, at Abcam and for Danaher AI initiatives. - Spearhead and mentor the development, embedding, automation, and operation of production-quality, scalable, and robust AI applications. - Ensure technical quality, reliability, and compliance of AI solutions through rigorous testing, validation, and monitoring, driving best practices in code quality, documentation, standardization, and software development lifecycle. - Optimize AI application performance, efficiency, and feature engineering; ensure the use of the right next-generation technologies and emerging MLOps frameworks by staying abreast of the latest developments. - Innovate AI technology and solutions, pro-actively shaping approaches to various, complex data challenges ; collaborat e across teams and manage resources effectively to meet goals and timelines. Essential Requirements: - MSc or PhD in a field related to Software Development and Data Science (or equivalent, proven experience), with multiple years of industry and technical leadership experience. - Expert programming skills in Python and proven experience in the technical development, deployment, and operation of AI solutions; CI/CD, serverless AWS platforms, containerization, data structures, data platforms, and data integration. - Highly skilled in realizing the full potential of LLM-based AI frameworks (e.g., OpenAI). - E xperience in pipeline and infrastructure as code, Git, JavaScript, SQL, MLflow, Jira, cloud and AI services from AWS, GCP, and Azure, automated ML frameworks, Spark, TensorFlow, PyTorch. - Attention to detail and highest coding and documentation standards. It would be a plus if you also possess previous experience in: - Commercial awareness and understanding of business processes, with excellent communication and collaboration abilities. - Strong analytical and problem-solving skills. - F amiliarity with CDPs, MDM, and data and software security concepts. - Ability to communicate complex technical concepts effectively to partners. We look forward to receiving your application Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.