Head of Data & AI
New
UK BasedFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- SnowflakeAzureData engineeringMicroservicesLLMMLOpsGenerative AI
Requirements
- Proven delivery of production-grade AI and ML systems at scale.
- Deep experience with generative AI and LLM-based application architectures, including fine-tuning, prompt engineering, RAG, and agentic frameworks.
- Strong knowledge of vector databases and semantic search (e.g., Pinecone, Weaviate, pgvector, Azure AI Search).
- Deep background in modern data engineering, ELT/ETL patterns, and large-scale data pipeline architectures.
- Hands-on experience with Snowflake or equivalent cloud data warehouses.
- Strong Azure ecosystem experience, including Azure Data Factory, Azure Synapse, Azure OpenAI Service, and Azure Machine Learning.
- Strong software engineering fundamentals with experience in cloud-native, microservices, and event-driven architectures.
- Proven experience building and leading high-performing Data/AI engineering teams.
- Experience within financial services, regtech, compliance, surveillance, or similarly regulated domains.
Responsibilities
- Own the end-to-end technical strategy and execution roadmap for AI-enabled product capabilities across the StarCompliance platform.
- Drive adoption of generative AI, LLM-based architectures, predictive analytics, graph intelligence, recommendation systems, and semantic search.
- Develop the data foundation strategy to ensure clean, trusted, and well-governed data.
- Build robust MLOps capabilities, including model training pipelines, versioning, monitoring, A/B experimentation, and drift detection.
- Build, mentor, and scale a high-performing Data & AI organization across data engineering, data science, ML engineering, and analytics.
- Work closely with the CTO and executive team to align AI and data initiatives with company strategy.
- Partner with the Product Director to co-own the AI roadmap, prioritization, and delivery outcomes.
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