My Financial Services client is seeking to recruit a AI Security & Compliance Engineer/Specialist on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. You will ensure the secure, ethical, and compliant development of AI solutions across the organisation. This role is central to embedding security, privacy … and regulatory controls into the design and engineering of AI products-including Microsoft Copilot, custom AI agents, and broader generative AI applications. You will work closely with engineering, architecture, legal, security and risk teams to define and implement controls across the AI lifecycle, ensuring alignment with internal policies and external regulations such as the EUAIAct, FCA guidance, and GDPR. A key part of this role involves leveraging Microsoft Purview to enforce data governance, classification, and compliance across AI systems. You will also collaborate with the AI Governance Lead to assess and support the onboarding of new AI systems into the bank, ensuring that all solutions meet More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Pontoon
Job Title: AI Security & Compliance Engineer Duration: 6-month contract Location: London - Hybrid (2 days per week on site) Rate: £700 Inside. Role Overview: Our organization is seeking a technically skilled and proactive AI Security & Compliance Engineer/Specialist. This role is central to embedding security, privacy, and regulatory controls into the design and engineering of AI products, including Microsoft Copilot, custom AI agents, and broader generative AI applications. What You'll Do: As an AI Security & Compliance Engineer, your responsibilities will include: Secure AI Engineering & Design Collaboration: - Partner with engineering teams to implement security-by-design and privacy-by-design principles. - Define and enforce technical controls for data access, model transparency … human oversight, and audit logging. AI Risk & Compliance Architecture: - Design compliance frameworks aligned with the EUAIAct and ISO/IEC 42001. - Conduct technical risk assessments and collaborate on developing model cards and risk registers. Microsoft Purview Integration: - Leverage Microsoft Purview for data classification, loss prevention policies, and compliance reporting. AI System Onboarding More ❯
My Financial Services client is seeking to recruit a AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. As a Back-End AI Engineer, you will design and deploy secure, scalable AI services that power next-generation use cases across client intelligence, document processing … and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure AI services from lab to production, ensuring scalability and compliance Develop … robust APIs for LLMs, RAG pipelines, agentic workflows and document intelligence systems Embed cybersecurity and data privacy controls across all AI workflows (e.g., encryption, anonymisation, access logging) Collaborate with the CISO function on threat modeling, security reviews, and AI-specific control design. Integrate with enterprise IAM systems, enforcing RBAC, least privilege Conduct vulnerability scans, pen-test remediation, and More ❯
My Financial Services client is seeking to recruit a Microsoft Power Platform/Agentic AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. You will lead the development of intelligent, enterprise-grade AI solutions using Microsoft's low-code ecosystem. This role focuses on building … Copilot Studio agents, Power Automate workflows, and Power Apps that integrate with enterprise systems and leverage Azure OpenAI, Microsoft Graph, and Azure AI services. You will design and orchestrate agentic workflows that automate high-value tasks across banking functions such as compliance, risk, and document processing-while ensuring alignment with cybersecurity, data governance, and regulatory frameworks (e.g., EUAIAct, FCA guidance). Accountabilities & Responsibilities Power Platform & Copilot Studio Development Design and build conversational agents using Microsoft Copilot Studio. Develop Power Automate flows triggered by AI agents or business events. Create Power Apps frontends integrated with GenAI services and enterprise data. Build and manage custom connectors to internal APIs and third-party services. More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Pontoon
AI Back End Engineer** (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (2 - 3 days on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile Are you ready to shape the future of AI in financial services? We are looking for a talented AI Back-End Engineer to … within the investment banking sector. This is an exciting opportunity to work in a greenfield environment, where you will play a crucial role in designing and deploying secure, scalable AI services that drive next-generation use cases, including client intelligence, document processing, and risk management. Key Responsibilities: Architect & Implement: Design and deploy secure AI services from lab to … Create robust APIs for large language models (LLMs), retrieval-augmented generation (RAG) pipelines, agentic workflows, and document intelligence systems. Cybersecurity & Privacy: Integrate cybersecurity and data privacy controls across all AI workflows, including encryption, anonymisation, and access logging. Collaborate with CISO: Work closely with the Chief Information Security Officer (CISO) function on threat modelling, security reviews, and AI-specific More ❯