Top AI & Machine Learning Jobs

Design and implement production-ready Python applications using GenAI (LLMs) and vector search. Build document chunking and embedding pipelines, integrate solutions with stakeholders, optionally develop frontends (Angular/React), and use containerization and IaC for deployments while ensuring coding, testing, and security best practices.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

Lead AI-driven data and analytics programmes in financial services, mentoring teams and ensuring delivery of measurable outcomes.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.

The Lead AI Technical Architect will define banking use cases, bridge business and tech stakeholders, and contribute to AI/ML product development in financial services.

Design, build, and deploy production-grade AI applications using LLMs, RAG, and agent architectures. Implement vector-database-backed retrieval solutions, create scalable REST APIs and cloud-native backends, and collaborate with cross-functional teams to translate business requirements into robust AI solutions following engineering best practices.

As a Data Analytics Principal Consultant, you'll lead data transformation initiatives, mentor consultants, and engage with stakeholders in financial services to drive data literacy and innovation.

Lead AI product strategy and roadmaps for financial services clients; identify high-value use cases, run prototyping/POCs, and guide integration of LLMs, RAG, embeddings, and agentic AI into enterprise platforms while advising senior stakeholders and cross-functional teams.

Lead AI and generative-AI transformation programs for banking clients: define AI strategy and roadmaps, advise executives across banking lines, partner with architecture and delivery teams to pilot and scale solutions, mentor consulting teams, and drive business development and thought leadership.

The Senior AI Engineer will design, build, and deploy generative AI systems, collaborating with clients to drive AI adoption and deliver business impact in financial services.