Head of Data and AI UK Based

9 hours, 37 minutes ago
Full-time
Executive
Data Science and Analytics
StarCompliance

StarCompliance

StarCompliance is a leading provider of compliance and regulatory software for the financial services industry. They offer solutions that help businesses monitor conflicts, meet regulatory obligations, reduce risk, and comply with confidence. Their pro...

Capital Markets
201-500
Founded 1999

Description

  • Design and build the data platform, including ingestion, transformation, storage, warehousing or lake architecture, and data modelling.
  • Establish scalable, governed data pipelines with data quality, lineage, security and accessibility for AI and machine learning use cases.
  • Build and deploy production Generative AI features, including LLM applications, RAG and AI agents.
  • Create evaluation, testing, monitoring and improvement practices for AI systems, including reliability, safety, hallucination, latency and cost management.
  • Provide technical direction for supervised machine learning initiatives such as risk scoring, classification and decision prediction.
  • Embed AI-assisted workflows across requirements, coding, code review, testing, documentation, debugging and operations.
  • Measure and improve engineering productivity, delivery speed, test coverage and software quality through AI-enabled practices.
  • Lead, mentor and directly manage data engineers, ML engineers and data scientists while remaining active in coding, architecture and proofs of concept.
  • Partner with the CTO, Product Director, Engineering, Architecture and Security teams to deliver the data and AI roadmap.
  • Establish governance, risk management, security and traceability controls for data and AI systems in a regulated environment.

Requirements

  • Proven experience personally building modern data platforms, including ingestion pipelines, transformation, warehousing or lake architecture, and data modelling.
  • Strong Python and SQL skills, with the ability to write production-quality code.
  • Experience designing scalable, reliable production data pipelines and architectures.
  • Demonstrable experience building and deploying production Generative AI or LLM-powered features.
  • Practical experience with RAG, AI agents or similar LLM application architectures.
  • Experience evaluating, testing, monitoring and improving production AI systems.
  • Strong understanding of supervised machine learning, including model selection, calibration, explainability, validation and monitoring.
  • Experience using AI to measurably improve engineering team productivity, delivery speed or quality across the software development lifecycle.
  • Proven technical team leadership experience with direct reports, while remaining hands-on with code, architecture and technical reviews.
  • Experience with Azure and/or Snowflake, MLOps, CI/CD, automated model deployment or model monitoring (preferred).
  • Experience building production predictive scoring or classification models and working in regulated industries such as financial services, banking, insurance, fintech or regtech (preferred).
  • High standards of integrity, professionalism and ethical conduct when handling sensitive data and technology.

Interested in this position?

Apply directly on the company website

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