AI Engineer

About the job

Who we are We are one of the largest international law firms in the world. With over 30 offices across the globe, we strive to exceed the expectations of our clients, providing them with the highest-quality advice and legal insight, which combines the firm's global standards with in-depth local expertise. Our firm, work and people span jurisdictions, cultures, and languages. We offer our clients a truly international perspective. We believe every career should be rewarding and stimulating - full of opportunities to learn, thrive, and grow. That's why we're so proud of our inclusive, friendly, and team-based approach to work. Our one firm global strategy is focused on targeted growth led by the needs of our core clients, those who we can best support with the breadth and depth of Clifford Chance expertise, across the sectors and geographies, which matter most to them. You'll find our clients in commercial and industrial sectors, the financial investor community, governments, regulators, trade bodies, and not-for-profit organisations. But no matter who they are or why they've reached out to us, we provide a world-class service every step of the way. And that's possible thanks to the entrepreneurial spirit and conscientious approach to work that you'll find across all of our teams. Whichever area of the business you join, you'll become an integral part of an innovative, diverse and ambitious team of people. Clifford Chance is a place where the brightest minds and the best of colleagues meet. Job Description The role This role is a key contributor in the Data & Analytics, AI team: • The daily work primarily focuses on Natural Language processing (NLP). • This role will lead a range of data analytics efforts, including monitoring and improving the performance of our Natural Language Understanding (NLU) models. • Collaborate with legal technology advisors, business departments, innovation lab, finance team and work in the data science lab. • Further develop Clifford Chance's generative AI solutions. Who you will work with The candidate's primary role is to develop and deliver applications for internal organisation and service-based use. It will involve collaborating with other IT teams, internal product development teams and Data & Analytics, AI team members for the architectural design and implementation of these applications. The candidate will be actively involved not only in application design but also in the realisation of those designs as applications for the cloud. What you will be responsible for • Develop products as both on-premises and cloud-based applications in Python, whilst ensuring they align to Application, Enterprise, Security architecture as well as the whole-of-Government policies and framework. • Collaborate on creating architectural designs for on-premises and cloud-based applications, including relevant documentation to effectively explain architectural design concepts and solutions to various levels of stakeholders. • Recommend new software development methodologies, design patterns and approaches to continually improve product delivery as part of the Legal Technology Solutions. • Apply knowledge of Agile software development and DevOps to ensure best delivery of applications, ensuring focus is always kept on maintainability and scalability. • Identify potential and emerging technologies relevant to innovation for the Data Science Lab and wider Legal Technology Solutions group. • Contribute to the execution of data science use cases on a need basis.

Requirements

• Natural Language Processing (NLP)
• Python
• AI Services
• Azure AI Ecosystem

Qualifications

• BSc or greater in Data Science
• Computer Science
• Math
• Statistics

Preferred Technologies

• Natural Language Processing (NLP)
• Python
• AI Services
• Azure AI Ecosystem

About the company

Clifford Chance is one of the largest international law firms in the world with over 30 offices globally, providing high-quality legal advice and insight that combines global standards with in-depth local expertise. They are committed to an inclusive and team-based approach to work, focusing on targeted growth based on core client needs.