19 of 19 Synthetic Data Jobs in the UK

Insights and Artificial Intelligence - UK We are seeking a highly capable and strategic VP Digital Insights and Artificial Intelligence to lead on own the strategy, implementation, and governance of data, analytics and AI platform architecture across the organization. This newly created role is responsible for shaping the company's approach to information management, enterprise data management, which includes … data governance, data quality and data management; analytics, predictive analytics, and AI - while also ensuring the design, delivery, and continuous improvement of the underlying technology platforms that enable these capabilities. This leader will partner with business stakeholders, IT, and data science teams to identify high value opportunities, deliver innovative and responsible AI solutions, and build a … the following tasks: Leadership Define and lead the enterprise wide Digital Insights & AI Platform Strategy, ensuring alignment with business priorities and long term technology roadmaps Establish governance frameworks for data, analytics, and AI to ensure quality, security, and ethical use Drive adoption of AI, automation, and analytics solutions across business functions to maximise ROI and efficiency Information and Data More ❯

Head of Data & AI – Global AI Innovation Initiative Location: Manchester (Hybrid - 2 times per week) Salary: £110K-£140K + Bonus + Benefits We’re working with a multi-£billion global leader in market insights and analytics, operating in over 90 countries , on a multi-million-pound AI transformation programme . This is a rare opportunity to join a build … productising these for real-world, high-impact internal use . You’ll be stepping into a Leading AI position, leading the engineering vision and hands-on delivery for a synthetic data platform that will be deployed to consultants globally. This is a strategic initiative with a budget in the tens of millions of pounds and direct accountability to … scaling to £30–50M in the coming years. You’ll be working at the heart of an executive-backed programme, shaping a product that combines LLM agents, digital twins, synthetic data replicates, and agentic workflow modelling —all built on cutting-edge Python, GCP, and Vertex AI foundations. What You’ll Be Doing Taking full engineering and architectural ownership More ❯

these for real-world, high-impact internal use . You’ll be stepping into a Lead AI Engineer position, leading the engineering vision and hands-on delivery for a synthetic data platform that will be deployed to consultants globally. This is a strategic initiative with a budget in the tens of millions of pounds and direct accountability to … scaling to £30–50M in the coming years. You’ll be working at the heart of an executive-backed programme, shaping a product that combines LLM agents, digital twins, synthetic data replicates, and agentic workflow modelling —all built on cutting-edge Python, GCP, and Vertex AI foundations. What You’ll Be Doing Taking full engineering and architectural ownership … of a synthetic data platform already in the advanced build phase. Driving MLOps and production deployment workflows across GCP, Vertex AI, and model lifecycle management. Making critical design decisions—defending your technical strategy and knowing when to push back. Collaborating with data scientists, engineers, and external delivery partners to deliver at pace. Navigating complex political and organisational More ❯

We are hiring a senior Data Engineer to lead the development of intelligent, scalable data platforms for Industry 4.0 initiatives. This role will drive integration across OT/IT systems, enable real-time analytics, and ensure robust data governance and quality frameworks. The engineer will collaborate with cross-functional teams to support AI/ML, GenAI, and … IIoT use cases in manufacturing and industrial environments. Key Responsibilities Architect and implement cloud-native data pipelines on AWS or Azure for ingesting, transforming, and storing industrial data. Integrate data coming from OT systems (SCADA, PLC, MES, Historian) and IT systems (ERP, CRM, LIMS) using protocols like OPC UA, MQTT, REST. Design and manage data lakes, warehouses … platforms for predictive analytics, digital twins, and operational intelligence. Define and maintain asset hierarchies, semantic models, and metadata frameworks for contextualized industrial data. Implement CI/CD pipelines for data workflows and ensure lineage, observability, and compliance across environments. Collaborate with AI/ML teams to support model training, deployment, and monitoring using MLOps frameworks. Establish and enforce data More ❯

countries who consent to sharing their opinions, motivations, and behaviours. Job Description The Role This is a strategic, high-impact opportunity to own and build the future of data at Cint. As the Principal Product Manager for Data Innovation, you will be the single-threaded owner responsible for defining and executing the product strategy for our emerging synthetic data and data collaboration products. Your mission is to leverage Cint’s vast, high-quality data assets to create new, scalable data products that create a durable competitive advantage. You will be responsible for the multi-year vision, commercial success, and go-to-market strategy for products that enable our customers to gain deeper insights … unique blend of deep technical understanding, commercial acumen, and a "build-from-scratch" entrepreneurial mindset. You will be the company's subject matter expert, partnering closely with R&D, data science, and commercial leadership to bring a new category of products to market. What You Will Do Own the Vision: Develop and promote a multi-year product vision for More ❯

pipelines (e.g., GitLab), covering both per-commit and nightly executions. Guide the team in developing resilient, self-healing scripts compatible with Redwood UX and quarterly Oracle updates. Oversee test data strategy for synthetic data generation, GDPR compliance, and test reusability. Implement test traceability by mapping test cases to Jira stories, acceptance criteria, and business processes. Promote and … enforce Tosca best practices: version control, test data management, test case design, and virtualization. Collaborate with development, product, and DevOps teams to align QA efforts with agile sprint planning and release goals. Required Skills & Experience Extensive hands-on experience with Tosca : model-based testing, test case design, test data management, and business component reuse. Strong experience in Oracle … equivalent experience). Strong understanding of modular and scalable automation design principles. Preferred Qualifications Experience leading QA in agile, DevOps-driven teams . Familiarity with GDPR compliance and test data privacy practices. Strong analytical and troubleshooting skills to identify and resolve test automation issues efficiently. Excellent communication, stakeholder management, and team collaboration capabilities. More ❯

CI/CD pipelines (e.g., GitLab), ensuring both per-commit and nightly execution coverage. Develop resilient, self-healing scripts compatible with Redwood UX and quarterly Oracle updates. Manage test data strategy, including synthetic data generation, GDPR compliance, and reusable datasets. Maintain test traceability by mapping test cases to Jira stories, acceptance criteria, and business processes. Follow Tosca … best practices: version control, test data management, test case design, and virtualization. Collaborate closely with development, product, and DevOps teams to ensure QA automation aligns with sprint and release objectives. Required Skills & Experience Strong hands-on experience with Tosca: model-based testing, test case design, test data management, and business component reuse. In-depth knowledge of Oracle Fusion … preferred or equivalent experience). Strong understanding of modular and scalable automation design principles. Preferred Qualifications Experience working in agile, DevOps-driven teams. Familiarity with GDPR compliance and test data privacy best practices. Strong problem-solving and troubleshooting abilities for automation issues. Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an More ❯

CI/CD pipelines (e.g., GitLab), ensuring both per-commit and nightly execution coverage. Develop resilient, self-healing scripts compatible with Redwood UX and quarterly Oracle updates. Manage test data strategy, including synthetic data generation, GDPR compliance, and reusable datasets. Maintain test traceability by mapping test cases to Jira stories, acceptance criteria, and business processes. Follow Tosca … best practices: version control, test data management, test case design, and virtualization. Collaborate closely with development, product, and DevOps teams to ensure QA automation aligns with sprint and release objectives. Required Skills & Experience Strong hands-on experience with Tosca: model-based testing, test case design, test data management, and business component reuse. In-depth knowledge of Oracle Fusion … preferred or equivalent experience). Strong understanding of modular and scalable automation design principles. Preferred Qualifications Experience working in agile, DevOps-driven teams. Familiarity with GDPR compliance and test data privacy best practices. Strong problem-solving and troubleshooting abilities for automation issues. Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an More ❯

Avaloq Software Engineer to join our Wealth Practice in the UK. In this role, you'll play a key part in designing, developing, and maintaining high-quality software and data structures to support our evolving data platforms. You'll collaborate across teams to support data migration, cleansing, enrichment, scripting, and reconciliation—ensuring we deliver reliable and scalable … expertise in Avaloq technologies, database management, and software development—combined with a solid understanding of the Avaloq Enterprise-Wide Object Model—will be critical in shaping and enhancing our data capabilities. This is a fantastic opportunity to bring your passion for innovation into a fast-paced, dynamic environment where your impact will be tangible. Skills Must have You will … have between 5+ years experience working as an Avaloq Developer. Mapping physical data from Avaloq and other platforms to the Enterprise Data Model, ensuring adherence to reference data standards and clear conceptual definitions. Experience with external API integration. Reviewing and optimizing Avaloq APDM outcomes, defining treatment strategies, and improving system performance. Integrating the Avaloq APDM with external More ❯

Avaloq Software Engineer to join our Wealth Practice in the UK. In this role, you'll play a key part in designing, developing, and maintaining high-quality software and data structures to support our evolving data platforms. You'll collaborate across teams to support data migration, cleansing, enrichment, scripting, and reconciliation—ensuring we deliver reliable and scalable … expertise in Avaloq technologies, database management, and software development—combined with a solid understanding of the Avaloq Enterprise-Wide Object Model—will be critical in shaping and enhancing our data capabilities. This is a fantastic opportunity to bring your passion for innovation into a fast-paced, dynamic environment where your impact will be tangible. Skills Must have You will … have between 5+ years experience working as an Avaloq Developer. Mapping physical data from Avaloq and other platforms to the Enterprise Data Model, ensuring adherence to reference data standards and clear conceptual definitions. Experience with external API integration. Reviewing and optimizing Avaloq APDM outcomes, defining treatment strategies, and improving system performance. Integrating the Avaloq APDM with external More ❯

achieves success. The role: Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation. Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases. … Contribute to benchmarking and ongoing improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in Computer … record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent More ❯

achieves success. The role: Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation. Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases. … Contribute to benchmarking and ongoing improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in Computer … record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent More ❯

making, and control. Integrate AI algorithms into both enterprise-scale and edge-deployed systems . Work with customers to translate complex problems into AI-powered solutions . Lead on data strategy , from collection and simulation to training and validation. Ensure AI safety, ethics, explainability , and compliance with defence standards. Define best practices in MLOps , model evaluation, and continuous integration. … fusion . Excellent communication and problem-solving skills. Desirable Extras Publications in leading AI/ML or robotics conferences (e.g. NeurIPS, CVPR, ICLR, ICRA). Experience with MLOps pipelines, synthetic data, and model optimisation for edge devices . Understanding of sensor fusion, perception pipelines , and AI safety principles . What’s on Offer Highly competitive base salary. Generous More ❯

of their applied AI and research strategy. The role Lead the development of computer vision models (2D/3D pose estimation, video analysis, biomechanics). Apply Generative AI techniques (synthetic data, video generation, code generation, intelligent agents) to improve automation, scale, and personalisation. Manage and mentor a small, specialist team. Define the AI/ML innovation strategy across … Ensure robustness, accuracy, and real-time performance of deployed models. Keep pace with emerging research and technologies, bringing new ideas into production. Partner with domain experts to translate biomechanical data into actionable insights. What we’re looking for Strong background in computer vision and video-based deep learning, (ideally pose estimation, biomechanics or human movement) Proven technical leadership experience More ❯

of their applied AI and research strategy. The role Lead the development of computer vision models (2D/3D pose estimation, video analysis, biomechanics). Apply Generative AI techniques (synthetic data, video generation, code generation, intelligent agents) to improve automation, scale, and personalisation. Manage and mentor a small, specialist team. Define the AI/ML innovation strategy across … Ensure robustness, accuracy, and real-time performance of deployed models. Keep pace with emerging research and technologies, bringing new ideas into production. Partner with domain experts to translate biomechanical data into actionable insights. What we’re looking for Strong background in computer vision and video-based deep learning, (ideally pose estimation, biomechanics or human movement) Proven technical leadership experience More ❯

the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on … edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments. Research and integrate state-of-the-art Vision Transformers (ViTs More ❯

build fair face-matching and deepfake-detection models. Train and benchmark large-scale vision-language models for document extraction. Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton. Profile, debug and improve model training speed on multiple GPUs. Create a large-scale dataset for deepfake detection. Experiment with More ❯

build fair face-matching and deepfake-detection models. Train and benchmark large-scale vision-language models for document extraction. Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton. Profile, debug and improve model training speed on multiple GPUs. Create a large-scale dataset for deepfake detection. Experiment with More ❯

build fair face-matching and deepfake-detection models. Train and benchmark large-scale vision-language models for document extraction. Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton. Profile, debug and improve model training speed on multiple GPUs. Create a large-scale dataset for deepfake detection. Experiment with More ❯