726 to 750 of 926 Data Pipeline Jobs in the UK

be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that meet our client's needs. We are committed to democratising Computer Vision in the retail space, and your contributions will directly influence the impact … our solutions across various sectors. Responsibilities Model Development: Design, build, and deploy Large Vision Models (LVMs) for applications focused on enhancing customer experience, workforce efficiencies, and product performance. Data Preparation: Collaborate with data engineers to collect, preprocess, and curate large visual datasets required for training models, ensuring high-quality data pipelines. Algorithm Optimization: Iterate … in machine learning and computer vision. Drive innovation by applying new techniques and methods to our projects. Educational Background: Master's degree or equivalent experience in Computer Science, Data Science, or a related field with a strong focus on machine learning. Professional Experience: 5+ years of hands-on experience deploying Computer Vision models in production environments. Strong proficiency More ❯

by leading investors, we recently raised $16M in Series A funding to accelerate our vision of helping 1 billion people learn. The Role We're hiring our first Data Scientist to help us turn raw data into smart decisions, powerful product features, and personalised learning experiences. You'll work closely with the founders and engineers to … unlock insights, build production-ready models, and help shape the future of how people learn. This role sits at the intersection of product, data and engineering. If you're excited by high ownership, greenfield challenges, and making data a core part of a product people already love - this is the role for you. Key Responsibilities Analyse … data to inform product decisions Work with product and engineering to design data experiments and analyse user behaviour Develop scalable data pipelines and automate insights generation Create predictive models, segmentation logic, or recommendation engines as needed Communicate findings clearly to technical and non-technical stakeholders Drive the development of internal analytics tools and dashboards More ❯

Sr. Manager, Data Science, APP Gift Cards Gift Cards' mission is to drive Amazon's flywheel by inspiring people around the globe to gift or transact with confidence. We are looking for Sr. Manager, Data science, to transform how millions of customers discover, purchase, and share the perfect gift through data science innovation at … driving innovation and operational excellence. This role is pivotal to our mission, combining strategic vision, hands-on leadership, and scientific expertise. You will manage a diverse team of data scientists, business intelligence and data engineers, working collaboratively to deliver high-impact scientific solutions and scalable systems to improve customer experience and drive business growth. The role … focuses on identifying and solving ambiguous, high-value problems using state-of-the-art methodologies in machine learning (ML) as well as developing self-service data platforms for internal analytics. Key job responsibilities • Strategic Leadership: Define and execute the scientific vision for Gift cards, aligning with the broader business goals. Drive cross- organizational initiatives, identifying opportunities to leverage More ❯

ll bring the expertise. We'll provide the platform to succeed. Ready? It's time to do your thing. Who you'll be working with: Liberty IT's Data Science group partners directly with business stakeholders and global data science teams to create solutions for large business problems. You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of … insurance, for example in managing risk, and build solutions that enable Liberty Mutual to achieve this. You will have opportunities to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two More ❯

+ bonus + benefits We are working with a leading Financial Services organisation who have an excellent opportunity for an experience Quality Engineer to join their Data Reporting Product team. This is very much a hands off leadership role - focusing on best practice adoption, working with 3rd parties, engagement with senior stakeholders, however, we do require someone who … has come from a technical Datawarehouse testing background. You'll lead testing efforts across data warehouse solutions, driving quality across ETL processes, data pipelines, and system integrations.What You'll Do:* Define and execute testing strategies for data accuracy, quality, and performance* Lead a high-performing testing team and collaborate across Agile teams* Implement automated … testing frameworks integrated into CI/CD pipelines* Ensure data validation, consistency, and completeness across complex systemsWhat You'll Bring:* Background within data warehouse testing (ETL, pipelines, cloud-native platforms like Snowflake)* Experience building and maintaining test harnesses using tools like dbt (Data Build Tool) for automating data validation across ETL processes More ❯

Senior Power BI Developer Holborn, London – Hybrid (3 days in office) Up to £70,000 + benefits The Company A growing data consultancy delivering AI-powered customer analytics solutions across a wide range of industries. With a strong focus on insight automation and platform-led delivery, their work sits at the intersection of product, data science … BI Developer, you’ll play a hands-on role in designing and building client-facing dashboards that surface key customer and commercial metrics. You’ll work closely with data engineers and stakeholders to transform raw data into clear, actionable insight—with DAX modelling at the heart of it. Key Responsibilities: Design and deliver Power BI dashboards … for external clients Build scalable data models using DAX and SQL Run stakeholder workshops to define dashboard requirements Optimise performance using DAX Studio and best-practice modelling Support broader data integration and delivery with cross-functional teams What You’ll Bring Extensive BI development experience in a client-facing or consultancy setting Strong command of DAX More ❯

Senior Power BI Developer Holborn, London – Hybrid (3 days in office) Up to £70,000 + benefits The Company A growing data consultancy delivering AI-powered customer analytics solutions across a wide range of industries. With a strong focus on insight automation and platform-led delivery, their work sits at the intersection of product, data science … BI Developer, you’ll play a hands-on role in designing and building client-facing dashboards that surface key customer and commercial metrics. You’ll work closely with data engineers and stakeholders to transform raw data into clear, actionable insight—with DAX modelling at the heart of it. Key Responsibilities: Design and deliver Power BI dashboards … for external clients Build scalable data models using DAX and SQL Run stakeholder workshops to define dashboard requirements Optimise performance using DAX Studio and best-practice modelling Support broader data integration and delivery with cross-functional teams What You’ll Bring Extensive BI development experience in a client-facing or consultancy setting Strong command of DAX More ❯

daily to our panel of over 24 million registered members to understand opinion and behaviors around the world. We have a strong reputation as a source of accurate data and we're trusted by the world's biggest brands to get it right, making us the most quoted market research source in the world. With operations in the … India and Asia Pacific, YouGov has one of the world's largest research networks. About Brandindex BrandIndex is YouGov's flagship brand intelligence platform that transforms consumer survey data into insights for businesses: it monitors thousands of brands globally to deliver a comprehensive view of brand health. Through continuous data collection and analysis, BrandIndex enables customers … YouGov's "Be Fast" value through rapid adaptation and delivery. When joining us, you'll find colleagues who are committed to "Getting it Right," making decisions based on data and best practices while never compromising on quality or integrity. We embrace diverse perspectives and backgrounds, and we prioritize a positive atmosphere where effective work and quick thinking are More ❯

Two Circles is a global sports agency. We drive growth for sports properties by delivering deeper connections with fans, through the intelligent use of data and technology. We work with some of the world's biggest sports organisations - including the NFL, Premier League, Formula 1, AFL, Wimbledon and UEFA - and have been named Sport Industry Agency of the … back-end development patterns. Nice to Have Experience with platforms like Braze, Google Analytics, Adobe Analytics, Contentful, or Sitecore. Experience across technology domains including CMS, CRM, Martech platforms, data pipelines, analytics, and cloud services. Exposure to CDPs (e.g., Bloomreach, Segment, BlueConic, Tealium) and data integration pipelines. Understanding of data modelling, ETL processes, and basic More ❯

s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact. Role focus - Foundation Models for Biology Architect, build, and scale our foundational AI infrastructure. You'll … large-scale genomic foundation models. Design and implement scalable and efficient distributed computing platforms leveraging cloud (AWS/GCP/Azure) and HPC clusters. Develop highly automated, reproducible data pipelines and CI/CD workflows that accelerate model development, testing, and deployment. Performance-tune infrastructure and models, optimizing resource utilization (GPU/TPU) and significantly improving computation efficiency. … and accuracy. In 3 months you'll directly own and have created a prototype model architecture, demonstrated significant algorithmic improvements, and contributed to scaling methods for large-scale data ingestion and training. In 6 months you'll have developed a high-performance version of a foundation model, implemented key algorithmic optimizations that boost scalability and throughput, and published More ❯

Are you ready to transform the insurance industry? Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. Having achieved rapid growth since being founded in 2011, we've won over 1.5 million customers in Home, Motor and Pet insurance … Monitoring: Implement and maintain a monitoring framework to be able to flag underperforming models and the necessary actions needed to be taken. Research & Development: Explore and create new data sources, modelling techniques and any other innovative methods to improve the overall Risk Pricing Function and become industry leading. Collaboration Across Teams: Partner with Underwriting, Fraud, Risk & Reserving, Tech … and regulatory governance. Familiarity with pricing/modelling software: e.g. Emblem, Radar, Earnix etc Hands-on experience with statistical modelling (e.g. GLMs, GBMs, clustering) applied to risk pricing Data proficiency: SQL, Experience handling large, complex datasets Strong communication skills, with the ability to present technical insights to non-technical stakeholders. Demonstrated ability to manage and prioritise multiple projects More ❯

ll join the Platform & AI Enablement team within our GPTO Engineering organization, reporting to the Sr. Director Engineering API. The team is responsible for building and supporting the data and AI platforms that underpin our industry-leading Business Planning Software solutions. This is a highly hands-on role focused on designing, building, and operating scalable systems that integrate … event-driven, batch & streaming data flows, and AI capabilities into the platform. Your Impact Build and maintain core platform capabilities that support high-throughput batch, streaming, and AI-powered workloads. Develop resilient, observable, and scalable systems using Apache Kafka, Flink, Pulsar, and cloud-native tools. Collaborate with AI/ML engineers to operationalize models and enable generative AI … use cases such as prompt-based insights or automation. Deliver reliable integrations with data lakes, event stores, and analytics systems, ensuring data flows efficiently across the business planning ecosystem. Contribute full-stack code where needed, including React-based frontends and backend services in Java and Python. Write clean, maintainable, well-tested code with an emphasis on More ❯

ll join the Platform & AI Enablement team within our GPTO Engineering organization, reporting to the Sr. Director Engineering API. The team is responsible for building and supporting the data and AI platforms that underpin our industry-leading Business Planning Software solutions. This is a highly hands-on role focused on designing, building, and operating scalable systems that integrate … event-driven, batch & streaming data flows, and AI capabilities into the platform. Your Impact Build and maintain core platform capabilities that support high-throughput batch, streaming, and AI-powered workloads. Develop resilient, observable, and scalable systems using Apache Kafka, Flink, Pulsar, and cloud-native tools. Collaborate with AI/ML engineers to operationalize models and enable generative AI … use cases such as prompt-based insights or automation. Deliver reliable integrations with data lakes, event stores, and analytics systems, ensuring data flows efficiently across the business planning ecosystem. Contribute full-stack code where needed, including React-based frontends and backend services in Java and Python. Write clean, maintainable, well-tested code with an emphasis on More ❯

Impact: You will enable S&P ratings business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web … applications, data pipelines, big data, machine learning and multi-cloud. Active participation in all scrum ceremonies, follow AGILE best practices effectively. Play a key role in the development team to build high-quality, high-performance, scalable code. Document and demonstrate solutions using technical design docs, diagrams, and stubbed code. Collaborate effectively with technical and non-technical … observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while More ❯

through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni - and counting. In addition to … these skills then we would love to work with you! AI/ML Solution Architecture: Designing and deploying machine learning models and AI solutions tailored to engineering and data team workflows. Agentic AI Design: Expertise in building autonomous AI agents capable of decision-making, using frameworks like LangChain. LLM Integration & Customization: Proficiency in integrating large language models (LLMs … into applications, including fine-tuning and prompt engineering for business-specific use cases. AI for Data Engineering: Implementing AI-powered data pipelines, ETL automation, and leveraging AI for data quality and governance. AI Infrastructure & MLOps: Experience with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps best practices More ❯

partners. Continuing to support and complement Ripple's Payments, Custody and Stablecoin business units WHAT YOU'LL DO: Design and build scalable, low-latency microservices and event-driven data pipelines to support high-throughput trading systems. Champion data engineering best practices including schema evolution, data contracts, and data quality across event streams. … Collaborate with cross-functional teams to model, publish, and maintain high-quality data products aligned with enterprise standards. Implement CI/CD pipelines, automated testing, infrastructure-as-code, and monitoring solutions to ensure operational excellence. Lead end-to-end software development efforts-from gathering requirements to deployment and production support. Contribute to engineering excellence through mentoring, code reviews … proficiency in Java or similar languages (Golang, Scala, etc.). Proven track record building large-scale, low-latency distributed systems in trading or financial environments. Deep understanding of data streaming, order management systems, and modern persistence technologies (e.g., Aurora, DynamoDB). Experience working in front-office trading environments, ideally with exposure to FX and/or crypto trading More ❯

offered on a permanentbasis. What you'll do: Research and develop new AI technologies capable of positively impacting performance and efficiency Improving ML processes, such as experiment tracking, data versioning, model versioning Analytical techniques for extracting insight from a variety of data sources Training infrastructure planning and maintenance Monitoring of models in production Building, maintaining, and … monitoring data pipelines Supporting evaluation/comparison of ML models requirement Qualification: Graduated from a computer science, software engineering, or related degree program Experience: 5+ years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical More ❯

stop shop for self-service insights using cutting edge tech and modern microservices architecture in the cloud. You will support the team in enhancing the backend APIs and data pipelines as well as the UI, enabling clients to clean, match and enrich the data they transact with us and access insights reports. In addition, there will … for production-level systems. AWS cloud experience and ability to design systems with a cloud-first mindset Familiarity with front-end development About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain … deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people More ❯

Engineer II to join the Private Label Solutions (PLS) Machine Learning Engineering. You will join a team that builds and maintains the infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for our ranking problems, recommendation engines, and pricing optimization systems. Your work will contribute substantial value to our partners and EG by ensuring our … a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant impact for the business. You will gain expertise in ML infrastructure, data engineering, cloud computing, and scalable system design while working closely with our ML scientists to bring their models to life in production. This role requires an individual with a … grow with us, wed love to hear from you. In this role, you will: Design and implement scalable infrastructure for deploying ML models in production. Build and maintain data pipelines for efficient processing and feature engineering. Optimize compute resources and enhance model serving performance. Set up monitoring and logging systems for deployed ML models. Collaborate with ML scientists More ❯

Engineer II to join the Private Label Solutions (PLS) Machine Learning Engineering. You will join a team that builds and maintains the infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for our ranking problems, recommendation engines, and pricing optimization systems. Your work will contribute substantial value to our partners and EG by ensuring our … a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant impact for the business. You will gain expertise in ML infrastructure, data engineering, cloud computing, and scalable system design while working closely with our ML scientists to bring their models to life in production. This role requires an individual with a … with us, we'd love to hear from you. In this role, you will: Design and implement scalable infrastructure for deploying ML models in production. Build and maintain data pipelines for efficient processing and feature engineering. Optimize compute resources and enhance model serving performance. Set up monitoring and logging systems for deployed ML models. Collaborate with ML scientists More ❯

memory, guardrails, orchestration, trace management, and tool marketplaces. System Integration - Integrate AI and GenAI applications into existing systems and workflows, ensuring smooth and efficient operation. Infrastructure - Collaborate with data engineering teams to build scalable data pipelines and infrastructure supporting AI apps and agents. Evals - Monitor and evaluate the performance of AI apps, agents, and the overall … agentic AI system. Stakeholder Collaboration - Work closely with cross-functional teams, including project managers, platform engineers, data engineers, solution engineers, data scientists, and business stakeholders to define, design, and implement new features. Stay Updated - Keep current with the latest trends and advancements in AI and machine learning, and apply relevant innovations to projects. Documentation and Knowledge More ❯

Subject Matter Expert (SME) on Technical and Functional domain areas. What we value Demonstrated experience in Python, PySpark and SQL (AWS Redshift, Postgres, Oracle). Demonstrated experience building data pipelines with PySpark and AWS. Application development experience in financial services with hands on designing, developing, and deploying complex applications.Demonstrated ability to translate business requirements in a technical design … looking for, we don't necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit. About State Street What we do. State Street is one of the largest custodian banks … markon the financial services industry. For more than two centuries, we've been helping our clientssafeguard and steward the investments of millions of people. We provide investment servicing, data& analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive More ❯

Senior Data Engineer - Product Metrics & Tooling (Contract) This one's for the data engineers who don't just ship pipelines -you care about what's being measured, and why. We're looking for a contract Data Engineer to join a small but mighty team focused on building metrics, dashboards, and data solutions … that actually help improve customer support tools in a global tech company (yes, that scale). What you'll be doing: Build and own data pipelines + success metrics for customer-facing tools Design experiments, surface insights, and create dashboards that people use Work with DS, Eng and PMs-but with a good amount of autonomy Help shape … how product support and knowledge tooling gets measured The must-haves: 5+ years hands-on with SQL & Python Strong data modelling + visualisation (Tableau, MicroStrategy etc.) Azure Data Factory, Airflow or similar integration tools Bonus: analytics mindset and experience working with customer support or product teams The Offer: Annual Salary up to £86,000 doe and More ❯

Senior Data Engineer - Product Metrics & Tooling (Contract) This one's for the data engineers who don't just ship pipelines -you care about what's being measured, and why. We're looking for a contract Data Engineer to join a small but mighty team focused on building metrics, dashboards, and data solutions … that actually help improve customer support tools in a global tech company (yes, that scale). What you'll be doing: Build and own data pipelines + success metrics for customer-facing tools Design experiments, surface insights, and create dashboards that people use Work with DS, Eng and PMs-but with a good amount of autonomy Help shape … how product support and knowledge tooling gets measured The must-haves: 5+ years hands-on with SQL & Python Strong data modelling + visualisation (Tableau, MicroStrategy etc.) Azure Data Factory, Airflow or similar integration tools Bonus: analytics mindset and experience working with customer support or product teams The Offer: Annual Salary up to £86,000 doe and More ❯

the bridge between technical teams and business partners managing contact centers, translating operational challenges into scalable, AI-powered solutions. As a Product Manager, you will collaborate closely with data analysts, engineers, UX designers, business partners, and vendor partners to drive initiatives that enhance agent performance, improve customer satisfaction, and uncover insights from unstructured conversational data. You will own … center leaders to understand user needs, compliance requirements, and operational workflows. Translate business problems into technical requirements, ensuring robust design, integrations, and performance across platforms. Lead platform configuration, data model alignment, and vendor collaboration for systems such as Genesys Cloud, CallMiner, and NICE. Lead vendor evaluations, contract renewals, and partnerships, ensuring alignment with internal requirements. Collaborate with data engineering and analytics teams to ensure speech/text data is actionable and reliable. Drive end-to-end solution delivery-from technical planning and integration through deployment and adoption. Supervise product performance, manage technical backlogs, and deliver regular updates to business and technical partners. What you will bring: 8+ years of product management experience, with at More ❯