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.
