Data/AI Specialist
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Ready to work across the full spectrum of AI and Data?
My clients are looking for an ambitious and technically curious AI & Data Engineer to join a growing team working on innovative AI and data-driven solutions.
This is an opportunity for someone who enjoys exploring new technologies, building intelligent solutions and working across different areas of the AI landscape. Whether your background is in traditional Machine Learning, Generative AI, Agentic AI or Data Engineering, we're interested in hearing from you.
You'll have the opportunity to work on a variety of projects, helping organisations turn complex data into practical business solutions while contributing to the next generation of AI-powered applications.
Artificial Intelligence & Machine Learning
- Traditional AI and Machine Learning techniques, including predictive modelling, classification and regression.
- Generative AI, LLMs and applications built around large language models.
- Agentic AI, including AI agents, multi-agent systems and autonomous workflows.
- NLP, RAG architectures, prompt engineering and AI integrations.
- Developing, testing and deploying intelligent applications.
Data Engineering
- Building and maintaining data pipelines and ETL/ELT processes.
- Working with structured and unstructured data.
- Basic data modelling, data transformation and data integration.
- Supporting the development of reliable and scalable data architectures.
Cloud & Microsoft Ecosystem
- Microsoft Azure and its cloud-based data and AI services.
- Azure AI services, Azure Machine Learning and Azure OpenAI.
- Power BI for reporting, visualisation and business intelligence.
- Microsoft Fabric, Data Factory or Databricks would be advantageous.
What they are looking for
We're open to different technical backgrounds and levels of specialisation. You don't need to tick every box.
You could be:
- An AI Engineer experienced in LLMs, Generative AI or Agentic AI.
- A Machine Learning Engineer with experience in traditional AI and predictive modelling.
- A Data Engineer looking to move further into AI and Machine Learning.
- A Data Scientist with practical experience deploying models and building AI solutions.
- A technically minded developer with exposure to Azure, AI and data technologies.
Ideally, you'll bring:
- Experience with Python and/or SQL.
- Exposure to at least one area of AI or Machine Learning.
- A basic understanding of data engineering and data pipelines.
- Some experience with cloud environments, ideally Microsoft Azure.
- Exposure to Power BI or other business intelligence tools.
- A willingness to learn, experiment and keep up with the rapidly evolving AI landscape.
Why consider this opportunity?
- Work across traditional AI, Machine Learning and cutting-edge Agentic AI.
- Get involved in real-world AI implementations rather than purely theoretical projects.
- Develop your technical expertise across the Microsoft Azure ecosystem.
- Collaborate with talented technical teams and work on varied projects.
- Opportunity to grow your skill set across AI, Data Engineering and Cloud.