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.
