Are you ready to take your machine learning expertise to the next level? Join a fast-growing Data & AI team that’s shaping the future of artificial intelligence in finance, operations, and customer engagement. This is your chance to work on high-impact projects, experiment with the latest technologies, and transform cutting-edge AI models into scalable, production-grade solutions.

Why you’ll love this role:

• Be at the forefront of AI innovation in a dynamic, forward-thinking organisation
• Flexible hybrid working so you can thrive both at home and in the office
• Collaborate with an elite team of data, AI, and engineering professionals
• Gain exposure to GenAI, LLMs, RAG solutions, and MLOps at scale
• Unlock opportunities for career growth and professional development

What you’ll do:

• Design, build, and deploy machine learning solutions that solve real business problems
• Lead the development of next-gen GenAI, LLM, and RAG applications
• Develop scalable APIs, microservices, and data pipelines using MLOps best practice
• Deploy secure, scalable solutions across AWS, Azure, and GCP
• Work hand-in-hand with data scientists, engineers, and stakeholders to deliver production-grade applications
• Contribute to the AI capability roadmap , driving experimentation and adoption of emerging tech

What we’re looking for:

• 3–5+ years in ML engineering, data science, or software engineering with ML applications
• Advanced skills in Python and libraries like PyTorch, TensorFlow, scikit-learn, LangChain, Hugging Face
• Strong SQL skills, with experience across Snowflake, relational and NoSQL databases
• Hands-on expertise with cloud platforms, Docker, and API development
• Excellent communication and stakeholder engagement skills
• A curious mind and genuine passion for emerging technologies and continuous learning

🚀 If you’re excited by the thought of pushing boundaries in AI, building solutions that make a real impact, and growing your career in a high-performing environment — this role is for you.