Data/AI Engineer | Digital & Data

• Design & build ML/LLM solutions: Develop, fine-tune, and deploy machine learning and large language model solutions - from predictive models and classifiers to GenAI applications, chatbots, and retrieval-augmented generation (RAG) systems;
• Build robust data foundations: Design and maintain the databases and data pipelines that feed your models, ensuring data is clean, structured, and production-ready;
• Engineer for production: Apply solid software engineering practices - version control, testing, CI/CD, monitoring - to take models from prototype to reliable, scalable production systems;
• Integrate AI into business workflows: Work closely with client teams to understand business needs and translate them into AI-powered solutions and process automation;
• Collaborate across teams: Partner with data analysts, BI developers, and consultants to combine AI capabilities with Power BI dashboards and broader data architecture;
• Stay ahead of the curve: Keep up with fast-moving developments in ML/LLM tooling and bring new techniques and best practices into our projects.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field;
• 1–3 years of hands-on experience in machine learning engineering, AI/LLM development, or a related discipline;
• Strong experience with Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, or similar;
• Practical experience working with LLMs, including prompt engineering, fine-tuning, RAG, or agentic workflows;
• Solid SQL skills and experience designing and working with relational or analytical databases;
• Familiarity with software engineering practices, including Git, testing, CI/CD, and containerization (Docker);
• Experience or comfort working with cloud platforms such as Azure, AWS, or similar, and/or Microsoft Fabric;
• Fluent English, with the ability to explain technical concepts clearly to non-technical audiences;
• A proactive mindset, curiosity, and strong attention to detail.

Nice to Have

• Exposure to MLOps tooling and model monitoring in production;
• Experience with Power BI or other BI tools;
• Previous freelance or consulting experience, particularly working with cross-functional teams.

The role will be shaped around your strengths—whether you’re more research-oriented, engineering-focused, or looking to grow across both areas. If you love working with data and AI and want to build solutions that matter, we’d love to hear from you!

• Professional Growth – We support your career development, offering performance and salary reviews once a year to ensure your progress is recognized and rewarded;
• Flexible Working Hours – Manage your workday with flexibility and the option to work from home when needed, while enjoying our city-centre office as a convenient, collaborative workspace;
• Culture & Connection – From team bonding activities like Christmas parties and summer events to spontaneous celebrations, monthly breakfasts, or team lunches, we celebrate wins—big or small—together;
• Gifts Programme – Welcome boxes, birthday surprises, and holiday cheer ensure your special moments are always recognized.