51 to 75 of 110 Data Privacy Jobs in the City of London

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous pipeline evaluation frameworks for accuracy and performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and … systems into production. A proven track record of delivering scalable, reliable, and high-performance software solutions from concept to deployment. For more information on how we process your personal data, please refer to HCLTech’s Candidate Data Privacy Notice . More ❯

requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or financial services context. … Certification in Google Cloud (e.g., Professional Data Engineer, Professional Machine Learning Engineer). Understanding of data privacy, security, and ethical considerations in AI applications. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and More ❯

requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or financial services context. … Certification in Google Cloud (e.g., Professional Data Engineer, Professional Machine Learning Engineer). Understanding of data privacy, security, and ethical considerations in AI applications. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and More ❯

that modernise operations across the professional services sector. Formerly known as Ilicomm, a UK-based managed service provider, Nexian has grown to include digital consultancy, AI strategy, business analysis, data governance, and Microsoft technology services. We re also proud partners of Actionstep, a global leading SaaS practice management platform that is transforming the legal software space. Actionstep allows law … we want to hear from you. Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy More ❯

development, governance, ethics, and integration, shaping our innovation roadmap. Additionally, you will optimize algorithms with tools like Python, TensorFlow, PyTorch, scikit-learn, and cloud services (e.g., AWS SageMaker), including data analysis, model training, and validation. You will address issues in model accuracy, bias, and integration, complying with data privacy regulations while supporting growth. Finally, you will More ❯

and trading systems. - Experience with cloud platforms such as AWS or Azure. - Familiarity with containerization tools like Docker and Kubernetes. For more information on how we process your personal data, please refer to HCLTech’s Candidate Data Privacy Notice. More ❯

and trading systems. - Experience with cloud platforms such as AWS or Azure. - Familiarity with containerization tools like Docker and Kubernetes. For more information on how we process your personal data, please refer to HCLTech’s Candidate Data Privacy Notice. More ❯

technology. - Effective communication skills to interact with business and technical stakeholders. - Project management or Agile delivery experience is a plus. For more information on how we process your personal data, please refer to HCLTech’s Candidate Data Privacy Notice. More ❯

technology. - Effective communication skills to interact with business and technical stakeholders. - Project management or Agile delivery experience is a plus. For more information on how we process your personal data, please refer to HCLTech’s Candidate Data Privacy Notice. More ❯

and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers … pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications More ❯

and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers … pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications More ❯

ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy, compliance, and security in AI systems." Design, develop, and deploy containerized agent-based applications using Python, FastApi (programming experience in .NET, Java, or similar is desirable … business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.5 billion. Get the future you want | www.capgemini.com More ❯

ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy, compliance, and security in AI systems." Design, develop, and deploy containerized agent-based applications using Python, FastApi (programming experience in .NET, Java, or similar is desirable … business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.5 billion. Get the future you want | www.capgemini.com More ❯

Cloud AI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks covering data privacy (GDPR/UK GDPR), security accreditation, and ethical-AI standards. b. Oversee risk assessments and certifications, ensuring all deployments meet regulatory mandates. 5. Thought Leadership & External … and ethical-AI frameworks. Preferred Qualifications • Certifications: Azure Solutions Architect Expert, CISSP, or equivalent. • Experience with AI policy bodies, standards organizations, or government advisory panels. • Familiarity with cross-border data flows, emerging AI regulations, and open-source AI projects. Behavioral Competencies • Strategic Visionary: Anticipates AI trends, shapes long-term roadmaps, and aligns technology with business goals. • Executive Collaborator: Builds More ❯

Cloud AI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks covering data privacy (GDPR/UK GDPR), security accreditation, and ethical-AI standards. b. Oversee risk assessments and certifications, ensuring all deployments meet regulatory mandates. 5. Thought Leadership & External … and ethical-AI frameworks. Preferred Qualifications • Certifications: Azure Solutions Architect Expert, CISSP, or equivalent. • Experience with AI policy bodies, standards organizations, or government advisory panels. • Familiarity with cross-border data flows, emerging AI regulations, and open-source AI projects. Behavioral Competencies • Strategic Visionary: Anticipates AI trends, shapes long-term roadmaps, and aligns technology with business goals. • Executive Collaborator: Builds More ❯

ll do This is a senior, strategic consulting role — driving AI/ML security architecture, influencing C-suite direction, and ensuring security-by-design across complex AI systems and data pipelines. You’ll define and deliver AI security strategies, develop reference architectures, and provide expert guidance on risk management, data protection, and ethical AI governance. You’ll also … or advisory. Deep understanding of AI/ML security architecture, adversarial ML mitigation, and model governance. Current security certifications such as CISSP or CISM. Proven experience across cloud security, data privacy, and DevSecOps. Familiarity with frameworks including NIST, ISO 27001, TOGAF, SABSA. Excellent communication and stakeholder influence skills. Eligible for UK Security Clearance (SC). If you More ❯

ll do This is a senior, strategic consulting role — driving AI/ML security architecture, influencing C-suite direction, and ensuring security-by-design across complex AI systems and data pipelines. You’ll define and deliver AI security strategies, develop reference architectures, and provide expert guidance on risk management, data protection, and ethical AI governance. You’ll also … or advisory. Deep understanding of AI/ML security architecture, adversarial ML mitigation, and model governance. Current security certifications such as CISSP or CISM. Proven experience across cloud security, data privacy, and DevSecOps. Familiarity with frameworks including NIST, ISO 27001, TOGAF, SABSA. Excellent communication and stakeholder influence skills. Eligible for UK Security Clearance (SC). If you More ❯

of users at launch, and compound impact across multiple product, not just one. Role Description You’ll lead end-to-end backend development across our products: scoping services, designing data models and APIs, building, testing, shipping, and iterating in tight cycles. This is an early-stage, hands-on role with significant autonomy and responsibility to drive backend product development … collaborating closely with founders, creators, and product/design to turn lean specs into reliable, scalable services. Responsibilities Implement features end-to-end on the backend (APIs → data models → integrations) and maintain quality while moving fast. Run tight build, test, iterate, ship loops; provide realistic estimates and surface blockers early. Manage tech debt pragmatically ; record key decisions as lightweight … services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). More ❯

of users at launch, and compound impact across multiple product, not just one. Role Description You’ll lead end-to-end backend development across our products: scoping services, designing data models and APIs, building, testing, shipping, and iterating in tight cycles. This is an early-stage, hands-on role with significant autonomy and responsibility to drive backend product development … collaborating closely with founders, creators, and product/design to turn lean specs into reliable, scalable services. Responsibilities Implement features end-to-end on the backend (APIs → data models → integrations) and maintain quality while moving fast. Run tight build, test, iterate, ship loops; provide realistic estimates and surface blockers early. Manage tech debt pragmatically ; record key decisions as lightweight … services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). More ❯

GCP, Azure) Key responsibilities: Develop Solution Design Documents (SDDs) for security solutions, ensuring alignment with enterprise architecture and security policies. Design and architect solutions across various security domains including: Data Loss Prevention (DLP) Security Information and Event Management (SIEM) Identity and Access Management (IAM) Endpoint Detection and Response (EDR), MDM, and Endpoint Management tools Cloud and On-Prem Security … operations, application teams, compliance, and risk management to gather requirements and translate them into secure technical designs. Evaluate and recommend security products, tools, and technologies. Ensure solutions meet compliance, data privacy, and regulatory requirements (e.g., GDPR, HIPAA, ISO 27001). Support solution implementation teams with architecture guidance and technical documentation. Maintain up-to-date knowledge of emerging More ❯

GCP, Azure) Key responsibilities: Develop Solution Design Documents (SDDs) for security solutions, ensuring alignment with enterprise architecture and security policies. Design and architect solutions across various security domains including: Data Loss Prevention (DLP) Security Information and Event Management (SIEM) Identity and Access Management (IAM) Endpoint Detection and Response (EDR), MDM, and Endpoint Management tools Cloud and On-Prem Security … operations, application teams, compliance, and risk management to gather requirements and translate them into secure technical designs. Evaluate and recommend security products, tools, and technologies. Ensure solutions meet compliance, data privacy, and regulatory requirements (e.g., GDPR, HIPAA, ISO 27001). Support solution implementation teams with architecture guidance and technical documentation. Maintain up-to-date knowledge of emerging More ❯

Engineering Location: London (Hybrid) Duration: 6-Month Contract Rate: £600 - £650 (Inside IR35) Key Essential Skills: Extensive and recent hands-on experience in ServiceNow case management system design , including data models, workflows, integrations, and user interfaces. Proven track record of designing, building, and implementing case management solutions specifically on ServiceNow (priority), or on other leading case management platforms such … rolling out best-in-class solutions for one of the world’s leading financial organizations. Role & Responsibilities: Lead end-to-end system design for case management solutions using ServiceNow (data models, workflows, integrations, UI) Collaborate with central ServiceNow architecture to implement robust design governance within Financial Crime systems Develop lower-level designs and, if needed, hands-on proposals (coding … external systems (CRM, Billing, Access, Document Repositories) Support code reviews, testing, and release management with best practices guidance Implement automation and orchestration for streamlined case management Ensure compliance with data privacy/regulatory frameworks (GDPR, FCA) Uphold technical quality and design standards per clients Digital Blueprint and Enterprise Architecture Communicate solution design and present to governance forums More ❯

Engineering Location: London (Hybrid) Duration: 6-Month Contract Rate: £600 - £650 (Inside IR35) Key Essential Skills: Extensive and recent hands-on experience in ServiceNow case management system design , including data models, workflows, integrations, and user interfaces. Proven track record of designing, building, and implementing case management solutions specifically on ServiceNow (priority), or on other leading case management platforms such … rolling out best-in-class solutions for one of the world’s leading financial organizations. Role & Responsibilities: Lead end-to-end system design for case management solutions using ServiceNow (data models, workflows, integrations, UI) Collaborate with central ServiceNow architecture to implement robust design governance within Financial Crime systems Develop lower-level designs and, if needed, hands-on proposals (coding … external systems (CRM, Billing, Access, Document Repositories) Support code reviews, testing, and release management with best practices guidance Implement automation and orchestration for streamlined case management Ensure compliance with data privacy/regulatory frameworks (GDPR, FCA) Uphold technical quality and design standards per clients Digital Blueprint and Enterprise Architecture Communicate solution design and present to governance forums More ❯