AI & Data Engineering Consultant
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Role details
Tech stack
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Job description
- Design and deliver GenAI, LLM, RAG and agentic AI solutions.
- Build scalable Azure data platforms, data pipelines and data products.
- Develop semantic models, ontologies, knowledge graphs and information architectures.
- Deliver AI agents, automation, analytics and Power BI solutions.
- Integrate enterprise, engineering, asset and operational data.
- Take AI solutions from strategy and architecture through development, deployment and MLOps.
- Work with business and technical stakeholders to deliver measurable outcomes.
Requirements
- Generative AI, LLMs, RAG and AI agents
- Python and machine learning
- Data engineering, ETL/ELT and data integration
- Azure cloud and modern data platforms
- Power BI and analytics
- Semantic data modelling, ontologies and knowledge graphs
- MLOps and production AI delivery
- Strong consulting and stakeholder management skills, Experience in Energy & Utilities, Infrastructure, Engineering, Asset Management or other asset-intensive/regulatory environments is highly desirable., A hands-on AI and Data Engineering professional who can combine GenAI, data engineering, semantic knowledge and cloud technologies to solve complex business and operational challenges and deliver scalable, production-ready solutions.
Benefits & conditions
Negotiable
About the company
This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited (βARMβ). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.
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