Jobs at Thoughtworks

The Lead Business Analyst collaborates with clients to define product roadmaps, facilitates agile workshops, and ensures delivery of impactful software solutions. Responsibilities include analyzing business problems, managing product backlogs, and mentoring team members.

As a Lead Developer, you'll guide teams in delivering high-quality software using best practices, collaborate with clients, and influence technical excellence.

Lead Developers at Thoughtworks guide client projects, leveraging modernisation strategies and AI technologies, ensuring high-quality software delivery and team collaboration.

Design, implement, and productionize machine learning and data science solutions. Lead experiments, model development, validation, and communicate insights to stakeholders. Collaborate with cross-functional teams, ensure data quality and ethical practices, and mentor junior data scientists.

The Business Development Manager at Thoughtworks will lead client growth by managing new opportunities, building relationships, and driving high-value sales in enterprise IT services, particularly within healthcare and public sectors.

The Client Partner will manage a portfolio of clients in the Public Sector, Healthcare & Life Sciences, driving revenue and maintaining relationships while overseeing account strategies and team leadership.

Lead technical delivery and act as primary client contact. Design solutions, write and review code, apply TDD/CI/DevSecOps, mentor engineers, collaborate on UX and prototypes, and guide teams from ideation to production while advocating best practices.

Develop and deliver high-quality software in collaborative, cross-functional teams using clean, test-driven, and continuous delivery practices. Write maintainable, object-oriented code, participate in pair programming and DevOps culture, and apply modern patterns and tooling to solve client problems while continuously learning and sharing knowledge.

Senior Machine Learning Engineers design and develop scalable architectures for ML applications, collaborating with teams to ensure effective deployment and maintenance of ML systems while driving functional streams of work and mentoring engineers.

Lead Developers ensure successful project delivery, adopt best practices, design technology solutions, oversee software delivery, and mentor teams in a client-facing role.