Senior Tech Lead, Quantitative Analytics Engineering
London, United Kingdom
GBP 72K-109K (estimate) Senior-level Full Time
Tasks
- Architect and implement cloud native solutions on Azure and analytics platforms
- Build API first SaaS and PaaS AI products
- Design scalable data pipelines for structured and unstructured financial data
- Develop agent based systems and AI workflows
- Drive adoption of prompt engineering fine tuning RAG and model evaluation
- Ensure model governance risk explainability and compliance
- Extend multi cloud and hybrid cloud platform for AI workloads
- Implement CI CD MLOps and LLMOps for AI systems
- Integrate AI agents and automation into business workflows
- Lead design development deployment of LLM powered analytics solutions
- Manage engineering team and external partners
- Mentor engineers in AI ML and software engineering best practices
- Own LLM engineering roadmap aligned to business priorities
Perks/Benefits
Skills/Tech-stack
API Development | Agile delivery | Autogen | Azure | C# | C++ | CI/CD | Cloud Native | Cloud Native Architecture | Data Pipelines | Data analytics | Databricks | DevOps | Embeddings | Financial Data | Financial Data Analytics | Fine Tuning | LLMOps | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Explainability | Model Governance | PaaS | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Risk compliance | SaaS | Scalability | Semantic Kernel | Snowflake | System design | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Architect | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Software Architect | Tech Lead
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