5 Big Data Jobs in Cambridge

the role demands both high technical aptitude and problem-solving abilities, motivation, and exceptional attention to detail. At Roku, we are a company of data-focused builders, particularly on the Search and Recommendations team. Every day, you'll have the opportunity to assess existing systems and find ways to … experience applying Machine Learning to concrete problems at large-scale. Strong CS fundamentals, with the ability to write algorithms with ease. Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models. Experience with advanced machine learning techniques, including … quality metadata and artwork. Proven familiarity with NLP approaches like Word2Vec or BERT, including identifying the right KPIs and objective functions. Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Experience building in-production Machine Learning systems Good more »

software strategy and architecture of cutting-edge market research tools. Develop, maintain, and manage applications, tools, and services. Ensure performance, stability, and security of data collection and processing platforms. Manage application and database deployments and infrastructure. Work in close collaboration with cross-functional teams to design, develop, and deliver … client-centric data platforms and applications. Stay at the forefront of technological advancements, continuously exploring and integrating new technologies. Tools and Technologies: You'll work with a diverse range of tools, including but not limited to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. … Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in Python, MS SQL, Java, AWS, JavaScript. Experience with ETL processes, data warehousing more »

various 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 seamless … Python programming 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. more »

various 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 seamless … Python programming 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. more »

working in AI, including GenAI applications across MLR and content generation, Health Innovation, Product Development, Medical, NLP, IT and solution development. - Analytical mindset and data-oriented with the ability to distil complex topics to support hyper care in a timely, effective manner. - Proven ability to work in a fast … visionary' mind-set to develop new approaches to tactical implementation for scaling digital initiatives. - At the cutting edge of knowledge on the application of big data, in AI, automation and personalisation in the healthcare landscape. When we put unexpected teams in the same room, we unleash bold thinking more »