Back
Metro location and in-demand ML/AI role with moderate brand and specialized generative-AI skill requirements.
Requires niche generative-AI, cloud, and regulated financial-services experience, limiting cross-industry transferability.
Multiple mandatory technical skills, generative-AI expertise, and regulated-environment experience make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, deploy, and optimize AI-powered solutions including generative AI, LLMs, and RAG pipelines within a regulated financial services environment.
Ensure high code and model quality, system observability, compliance with governance and security standards, and stakeholder satisfaction.
Provide technical leadership, mentoring, and contribute to reusable AI frameworks and internal AI communities to drive AI adoption and continuous improvement.
Strong software engineering experience in Python and production-grade AI solution development.
Hands-on expertise with generative AI technologies such as LLMs, prompt engineering, embeddings, vector search, and RAG pipelines.
Experience working in regulated environments (banking, insurance, pensions, or asset management) with governance, security, and risk control requirements.
Work Experience Required: Proven experience delivering quality AI and software solutions in enterprise-scale environments.
Experienced in cloud platforms preferably Microsoft Azure, with skills in DevSecOps, containerization (Docker, Kubernetes), and agile methodologies.
Demonstrates expertise in observability, MLOps, model performance monitoring, and data governance tools like Microsoft Purview or Databricks Unity Catalog.
Able to collaborate cross-functionally translating complex business problems into AI solutions, and provide technical leadership within teams and AI communities.