76 to 100 of 165 Data Privacy Jobs in 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 ❯

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 ❯

ChatGPT, Claude, and Perplexity to enhance prompt performance and relevance. Support the design and implementation of AI-powered chatbots within DealCloud to improve user interaction and automation. Collaborate with data engineers and visualisation specialists to embed AI-driven insights into dashboards and business workflows. Continuously monitor and improve prompt effectiveness, ensuring contextual accuracy and user satisfaction. Maintain clear documentation … translate business requirements into prompt strategies and AI-driven solutions. Familiarity with Capsa and Filament Sifter platforms is a strong plus. Ability to work cross-functionally with product managers, data scientists, and business stakeholders. Strong documentation skills for prompt libraries, use cases, and performance metrics. Experience collaborating with external AI vendors and managing technical partnerships. Understanding of ethical AI … principles, bias mitigation, and responsible AI deployment. Familiarity with data privacy regulations (e.g., GDPR, HIPAA) and secure data handling practises. Excellent communication and documentation skills. Strong analytical and problem-solving skills. Ability to work independently. 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 ❯

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 ❯

employees, and business partners from every background. We are constantly learning and striving to do better, and we expect all staff to take an active part in this process. Data Privacy As part of our recruitment process, Hyperlayer Limited collects and processes personal data relating to job applicants. We are committed to being transparent about how … we collect and use this data and to meeting our data protection obligations. To read more, click here. More ❯

API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to … and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday scheme Paid More ❯

highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London. The ideal candidate will have a strong background in AI/ML frameworks, scalable system design, and Python-based development, along … architecture and development of AI/ML solutions, ensuring scalable and efficient design. Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks. Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications. Optimize model performance and manage end-to-end ML lifecycle (data ingestion, training, evaluation, deployment). … Mentor junior engineers and contribute to code reviews, best practices, and technical decision-making. Implement MLOps pipelines for continuous training, deployment, and monitoring of models. Ensure compliance with data privacy and security regulations (GDPR, etc.). Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field. 7+ years of professional More ❯

tools to streamline workflows and enhance output quality. System Administration: Act as administrator for key platforms such as Microsoft 365, SharePoint, and Salesforce. Cybersecurity & Compliance: Enforce cybersecurity policies, ensure data privacy compliance, and conduct regular risk assessments in collaboration with the compliance team. Vendor Management: Serve as the main contact for IT vendors and partners, overseeing service … dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: gb/en/privacy-notice. More ❯

About the Role (Dubai based) We are seeking an experienced and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You … a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership Define and execute the long-term strategy for Data Science & ML aligned with company goals. Champion a culture of innovation, experimentation, and scientific rigor. Stay on top of industry trends and emerging technologies in AI/ML, particularly … needs Partner with engineering and product teams to deploy GenAI solutions that are scalable, secure, and responsible. Team & People Management Build, mentor, and retain a world-class team of data scientists, ML engineers, and research scientists. Foster a collaborative, inclusive, and high-performance team culture. Implement best practices for experimentation, model development, and production deployment. Cross-functional Collaboration Work More ❯

About the Role (Dubai based) We are seeking an experienced and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You … a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership Define and execute the long-term strategy for Data Science & ML aligned with company goals. Champion a culture of innovation, experimentation, and scientific rigor. Stay on top of industry trends and emerging technologies in AI/ML, particularly … needs Partner with engineering and product teams to deploy GenAI solutions that are scalable, secure, and responsible. Team & People Management Build, mentor, and retain a world-class team of data scientists, ML engineers, and research scientists. Foster a collaborative, inclusive, and high-performance team culture. Implement best practices for experimentation, model development, and production deployment. Cross-functional Collaboration Work More ❯

About the Role (Dubai based) We are seeking an experienced and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You … a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership Define and execute the long-term strategy for Data Science & ML aligned with company goals. Champion a culture of innovation, experimentation, and scientific rigor. Stay on top of industry trends and emerging technologies in AI/ML, particularly … needs Partner with engineering and product teams to deploy GenAI solutions that are scalable, secure, and responsible. Team & People Management Build, mentor, and retain a world-class team of data scientists, ML engineers, and research scientists. Foster a collaborative, inclusive, and high-performance team culture. Implement best practices for experimentation, model development, and production deployment. Cross-functional Collaboration Work More ❯

About the Role (Dubai based) We are seeking an experienced and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You … a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership Define and execute the long-term strategy for Data Science & ML aligned with company goals. Champion a culture of innovation, experimentation, and scientific rigor. Stay on top of industry trends and emerging technologies in AI/ML, particularly … needs Partner with engineering and product teams to deploy GenAI solutions that are scalable, secure, and responsible. Team & People Management Build, mentor, and retain a world-class team of data scientists, ML engineers, and research scientists. Foster a collaborative, inclusive, and high-performance team culture. Implement best practices for experimentation, model development, and production deployment. Cross-functional Collaboration Work 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

and deliver the technology vision and product roadmap in collaboration with the CEO and founding team. Design and build blockchain-based solutions for property transactions, ownership verification and secure data exchange. Lead the architecture, development and scaling of a modern, cloud-native platform. Own security, data governance and compliance frameworks. Build, mentor and lead a small, high-performing … technologies (e.g. Ethereum , Hyperledger Fabric , smart contracts, tokenisation) Cloud infrastructure (e.g. AWS , Microsoft Azure , Google Cloud Platform ) Backend frameworks (e.g. Node.js , Python , Go ) Frontend frameworks (e.g. React , Next.js , Vue.js ) Data security, encryption standards, secure API architecture and GDPR compliance Strong understanding of distributed systems, data privacy and secure infrastructure. Entrepreneurial mindset with the ability to work More ❯

SDLC end-to-end - define, implement, and continually refine agile processes for planning, branching, testing, deployment, and code review.• Provide technical leadership across multiple product lines, guiding developers and data engineers through architectural decisions and code quality standards.• Shape the platform architecture, ensuring scalable, secure, cloud-native design across AI, data, and API layers.• Mentor and develop the … a direct path to our Founding Team.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 ❯

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 ❯

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 ❯