£550 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: This role is for an experienced Azure AI Engineer responsible for designing and implementing AI solutions using Microsoft Azure technologies. The candidate will lead development efforts, collaborate with engineering teams, and engage directly with clients to ensure successful delivery. The position requires strong technical skills in data modeling, machine learning, and generative AI frameworks. The role is hybrid, allowing for a mix of on-site and remote work.
Key Responsibilities:
- Gather business requirements and translate them into scalable data, ML, and GenAI solutions.
- Lead the development of ML models, PoCs/MVPs, and supporting data architectures.
- Partner with engineering teams to build and deliver high-value solutions within the Azure ecosystem.
- Present insights, recommendations, and solution demos to stakeholders and clients.
- Work directly with customers to understand needs and ensure successful delivery of core solution components.
- Contribute to product roadmaps and introduce new technologies that enhance data and AI capabilities.
Key Skills:
- Advanced technical knowledge of Microsoft Azure stack, including Databricks.
- Strong experience with data modelling and data warehousing principles.
- Proficient working with big data, unstructured data and documents.
- Experience with one or more generative AI and LLM frameworks and tools.
- Strong appreciation for engineering best practices, such as DevOps and CICD for deployment.
- Excellent communication skills.
Salary (Rate): £550 daily
City: London Area
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
A contract opportunity for an experienced Azure AI Engineer , with demonstrable experience designing, building and implementing AI solutions for customers, at the forefront of MS Azure technologies. The successful candidate will have commercial experience leading a team or working independently.
Responsibilities:
- Gather business requirements and translate them into scalable data, ML, and GenAI solutions.
- Lead the development of ML models, PoCs/MVPs, and supporting data architectures.
- Partner with engineering teams to build and deliver high-value solutions within the Azure ecosystem.
- Present insights, recommendations, and solution demos to stakeholders and clients.
- Work directly with customers to understand needs and ensure successful delivery of core solution components.
- Contribute to product roadmaps and introduce new technologies that enhance data and AI capabilities.
Technical Skills / Experience:
- Advanced technical knowledge of Microsoft Azure stack, including Databricks.
- Strong experience with data modelling and data warehousing principles.
- Proficient working with big data, unstructured data and documents.
- Experience with one or more generative AI and LLM frameworks and tools.
- Strong appreciation for engineering best practices, such as DevOps and CICD for deployment.
- Excellent communication skills.
Additional Information:
- Day rate: Up to £550/day
- IR35: Outside
- Initial Duration: 3 months (significant opportunity for extension)
- Location: Hybrid with 1-2 day a week onsite
- All applicants must have the right to work in UK