OverviewvLex is a global legal intelligence platform that provides legal professionals with access to the most extensive collection of legal and regulatory information in the world, all on one award-winning and unique platform. vLex develops cutting-edge technology, including artificial intelligence and data analytics, to help millions of users access the most relevant and accurate information.At vLex, we pride ourselves on being at the forefront of legal technology. Our cutting-edge artificial intelligence (AI) solutions are designed to empower legal professionals, streamline workflows, and provide unparalleled access to the knowledge and resources necessary for success. Our customers include legal professionals, academics, governments, and enterprises in over 70 countries. We provide case law, legislation, books, journals, and legal news, and build intelligent software to streamline and enhance legal research.The Role: ML EngineerJoin our team of innovative developers building cutting-edge products that leverage machine learning and large language models. You'll work with Python, Java, VespaAI, AWS, LLMS (ChatGPT, Claude 2) to create robust, scalable solutions that push boundaries. This is a chance to play a key role in developing technology that shapes the future while working in a fast-paced, collaborative environment focused on rapid iteration.We rely on AWS to handle infrastructure so we can concentrate on creating truly remarkable products powered by the latest advancements in AI. If you're a talented developer eager to work with some of today's most exciting tech, this is the team for you!The Tech StackWe build our products using Python and Java, enabling robust and performant code leveraging VespaAI's machine learning capabilities. Our tech stack runs on AWS, allowing us to focus on rapid iteration while relying on AWS for security, availability, and scalability. vLex also takes advantage of the latest LLM technologies from OpenAI and Anthropic to develop class-leading products and services.Responsibilities:Develop and productionise scalable machine learning systems using tools like VespaAI, Python, JavaLeverage large datasets across case law, legislation, regulations, journals, and news to generate ML modelsWork closely with business leaders, engineers, and content teams to identify and execute high-impact AI products and servicesImplement robust model monitoring, testing, auditing, and other controls for qualityFollow model and data governance, ethics, and compliance best practicesRequirements:MS/PhD in Computer Science, Maths, Physics or related technical field5+ years building commercial or research ML applicationsExpert in algorithms like classification, NLP, graph neural networks, etc.#J-18808-Ljbffr