3 Data Pipeline Jobs in Cambridge

Join our dynamic team as a Software Engineer where you'll drive innovation in data-driven applications for biologics research. From design to deployment, you'll be at the forefront, collaborating with various teams including IT infrastructure, lab automation, and scientists across various therapeutic areas. Your expertise will … craft our end-to-end data capture and processing while ensuring flawless integration with legacy and vendor systems. If you're passionate about cutting-edge technology and making a significant impact, this role is your gateway to contribute to revolutionizing biologics drug discovery process. With one of the … test-driven development ( TDD ) Experience working independently to build MVP software applications, and some familiarity contributing to large codebase. Understanding of data pipeline and ETL process. Familiarity with different tools and cloud service for data enabling application development. Desirable for the role Postgraduate degree or more »

Job Title: Data Scientist** **Location: Cambridge, UK** Are you a talented Data Scientist with a passion for applying advanced analytical techniques to solve complex problems? We are seeking a skilled individual with a science or mathematics-based degree to join our dynamic team in Cambridge. **Company … Overview:** We are a leading technology company dedicated to innovation in data analytics and machine learning. Our mission is to transform data into actionable insights that drive strategic decisions and innovation across various industries. **Role and Responsibilities:** - Develop and implement advanced statistical models and machine learning … algorithms. - Analyse large datasets to identify trends, patterns, and correlations. - Collaborate with cross-functional teams to understand business objectives and provide data-driven solutions. - Design and maintain scalable data pipelines and architectures. - Present findings and insights to stakeholders in a clear and concise manner. **Required Skills more »

components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine learning models into production systems, ensuring … and strong proficiency in Python development Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. Excellent communication more »