801 to 825 of 1,007 Data Pipeline Jobs in the UK

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 ❯

Senior Data Engineer Salary: £85K - £95K Location: London - Flexible working Data Idols are working with a fast-growing, product-led tech company to hire a Senio Data Engineer and help shape the data platform. They are looking for this person to provide technical leadership and lead projects end to end. The Opportunity … to have real technical ownership over the systems and models that power decision making across the entire organisation. In this role, you'll drive the design of robust data pipelines, evolve our warehouse strategy, and align cross-functional teams around shared, reusable models. You'll be part of a company that takes data seriously, where your … Strong Python SQL Experience working with GCP dbt If you are looking for a new challenge, then please submit your CV for initial screening and more details. Senior Data Engineer More ❯

security architecture for AI/ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments … testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. * Define and enforce robust access controls … authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. * Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to mitigate potential risks. * Provide technical guidance and support to cross-functional teams during the design, development, and deployment of AI/ More ❯

Business/Data Analyst – KDB & Python | Greenfield Build | Investment Banking -EXPERIENCE IN KDB+ IS Essential- A leading investment bank is building a brand-new team for a greenfield project and is looking for a Business/Data Analyst with strong KDB and Python skills. Key Responsibilities: Gather and analyze business requirements from front-office and tech … teams. Build data models and analytics solutions using KDB+/q and Python. Define data pipelines and ensure data quality and performance. Translate business needs into actionable insights and documentation. Requirements: Experience in financial services, ideally trading or investment banking. Strong hands-on skills in KDB+/q and Python . Solid understanding of … market data and financial instruments. Excellent communication and stakeholder management skills. Why Apply? Join a greenfield build with full ownership from day one. Work with cutting-edge tech in a high-impact, front-office environment. Be part of a collaborative and fast-paced team shaping a new platform. More ❯

Business/Data Analyst – KDB & Python | Greenfield Build | Investment Banking -EXPERIENCE IN KDB+ IS Essential- A leading investment bank is building a brand-new team for a greenfield project and is looking for a Business/Data Analyst with strong KDB and Python skills. Key Responsibilities: Gather and analyze business requirements from front-office and tech … teams. Build data models and analytics solutions using KDB+/q and Python. Define data pipelines and ensure data quality and performance. Translate business needs into actionable insights and documentation. Requirements: Experience in financial services, ideally trading or investment banking. Strong hands-on skills in KDB+/q and Python . Solid understanding of … market data and financial instruments. Excellent communication and stakeholder management skills. Why Apply? Join a greenfield build with full ownership from day one. Work with cutting-edge tech in a high-impact, front-office environment. Be part of a collaborative and fast-paced team shaping a new platform. More ❯

Role: Technical Product Owner Industry: Sports Data Salary: Up to £80,000 Location : London/Hybrid Are you a talented Product Owner with a good understanding of data engineering concepts? Are you interested in progressing to the role of Product Manager over time? Are you excited by Sports/Sports data and taking ownership … of a brand-new team? If so, this could be the perfect next role for you! This global leader in real-time sports data delivery is used by some of the worlds largest betting operators. Having recently hired a new Chief Product Officer, the Product team is only a few months old and this role will join a … newly formed data engineering/analytics team. What are they looking for: 2-3 years as a Product Owner/Product Manager Good understanding of data engineering concepts and data pipelines Familiarity with data analytics practices, modern BI tools, and reporting workflows Experience working in agile environments with cross functional teams Previous More ❯

Full Stack Data Engineer - AI Research £92K Hybrid London (3 Days … Onsite) We're hiring a Full Stack Data Engineer to join an elite AI research team in London. You'll be hands-on with end-to-end pipeline development-onboarding, filtering and packaging massive datasets (text, image, video) that will power LLM agents used in cutting-edge automation and FAIR research. This isn't your average data role-it's technical, research-focused, and sits right at the intersection of data engineering and software craftsmanship. What's in it for you? Annual Salary up to £92,000 doe Length : Through December 2025, with possibility of extension Contract Type : Inside IR35 - PAYE - paid via Principle HR on a weekly basis Location : 3 days onsite More ❯

a Manual QA Test Engineer with hands-on experience in SnapLogic to join my clients growing team on a contract basis. You will be responsible for testing integrations, data pipelines, and workflows built using the SnapLogic platform, ensuring quality, stability, and performance across various projects. Key Responsibilities Design and execute manual test cases for SnapLogic pipelines and integrations. … Validate data transformations, API integrations, and ETL workflows. Collaborate with developers, business analysts, and integration architects to understand functional and non-functional requirements. Identify, document, and track bugs through to resolution. Maintain test documentation, including test cases, test results, and issue logs. Support UAT and production release verification. Ensure data accuracy and integrity across systems and … integrations. Required Skills & Experience 1+ years of experience testing SnapLogic integrations (required). Strong background in manual testing , particularly for APIs, data pipelines, and enterprise integrations. Experience with JSON, REST APIs, SQL , and data validation. Familiarity with tools like Postman, JIRA, Confluence, or similar. Strong analytical and problem-solving skills. Excellent communication skills and attention to More ❯

Senior Data Scientist – Credit Risk Modelling £70-100,000 (dependent on experience) REMOTE WITHIN UK THE COMPANY This is an exceptional opportunity to join a well-funded fintech startup at a pivotal moment in its journey. With backing from respected investors and a founding team experienced in launching and scaling high-growth ventures, the business is now entering … acquisition, behavioural, and collections Choose and justify modelling techniques (traditional, hybrid, or even ML-informed) Define the credit strategy and lending criteria from the ground up Partner with data engineering to ensure the data pipelines and feature stores support what you need Play a hands-on role in regulatory documentation, governance, and model risk management YOUR … statistical and analytical skills with proficiency in Python Understanding of regulatory requirements relating to credit risk, including model governance and validation Experience collaborating with cross-functional teams including data engineering and product Self-starter with the ability to operate autonomously and take initiative in an unstructured environment SALARY AND BENEFITS Base salary from £70-100,000 depending on More ❯

work with our media client on their Content Metadata testing team which is responsible for a centralised metadata system providing manual and automatic ways for teams to access data on their products. The role is to provide test expertise and support to the engineering teams working across the Content Metadata products. This exciting position involves performing exploratory, regression … integration and cross-browser testing of a React front-end as well as back-end APIs, data pipelines and data stores. The successful applicant will have experience with cloud platforms especially AWS (Lambda, CloudWatch and S3), familiarity with API testing tools like Postman, SoapUI or RestAssured and good knowledge of JavaScript or TypeScript. Familiarity with CI More ❯

new technologies Perception Model Lifecycle Management: Lead the end-to-end development of scalable ML models for critical perception tasks (object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment Team Leadership & Mentorship: Build, mentor, and lead a high-performing team of machine learning engineers, fostering a culture of innovation, technical excellence … limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us . Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply … for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with More ❯

possible in research. We do impactful work with amazing organisations ranging from well-known brands to life-changing non-profits. Join us! About the role As a Senior Data Scientist you will be instrumental in shaping the technical backbone of the analytics function at Focaldata. In this role, you'll develop advanced R tools and scalable solutions to … implementation of cutting-edge modelling techniques. You'll collaborate on diverse projects, enhance our analytics infrastructure, and mentor team members in best practices. If you're passionate about data science, skilled in R, and eager to make an impact in public opinion and research, we'd love to hear from you. What you'll do This is a … will be: Build internal R packages to automate and standardise core tasks like weighting, modelling, and charting. Develop scalable tooling to support our research and analytics teams-from data pipelines to custom dashboards. Lead the development and deployment of advanced modelling techniques (e.g. multilevel regression, segmentation, random forest models, text analysis). Collaborate with the wider team on More ❯

Clean Code: Write clear, well-documented, and reusable code in line with engineering best practices. Help architect a scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and integrity. Requirements : Bachelors or Masters degree in a STEM field (e.g. Computer Science, Mathematics, Engineering). 0.53 years of experience in machine … weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago Graduate Software Engineer ML Data Platform London, England, United Kingdom 1 week ago London, England, United Kingdom 18 hours ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 month ago Greater More ❯

maintain scalable, secure Python-based back-end services and APIs Develop and deploy cloud-native applications on AWS (e.g., Lambda, ECS, S3, RDS) Integrate with third-party financial data providers and internal portfolio systems Collaborate closely with front-end developers, DevOps, and business stakeholders Write clean, testable code and contribute to CI/CD pipelines and automated deployments … and deployment workflows Desirable: Experience with alternative asset strategies such as private credit, real estate, or private equity Exposure to event-driven systems (Kafka, Redis) and ETL/data pipelines Familiarity with portfolio management tools or investment data modeling Knowledge of security and compliance requirements in financial cloud environments Additional Information Competitive salary + discretionary bonus More ❯

Clean Code: Write clear, well-documented, and reusable code in line with engineering best practices. Help architect a scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and integrity. Requirements : Bachelor’s or Master’s degree in a STEM field (e.g. Computer Science, Mathematics, Engineering). 0.5–3 years of More ❯

Clean Code: Write clear, well-documented, and reusable code in line with engineering best practices. Help architect a scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and integrity. Requirements : Bachelor’s or Master’s degree in a STEM field (e.g. Computer Science, Mathematics, Engineering). 0.5–3 years of More ❯

develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks. Build, integrate, and maintain machine learning models and solutions-from data pipelines to API deployment and user-facing interfaces. Collaborate with product managers, compliance experts, and engineers to translate business needs into intelligent technologies. Develop robust backend systems and APIs … models (LLMs, predictive/classification, agentic workflows), ensuring security and compliance standards are met. Implement best practices for MLOps, including CI/CD, automated testing, model versioning, and data validation. Architect integrations with vector databases, cloud platforms, and retrieval-augmented generation systems. Qualifications: 3+ years of experience delivering full-stack AI/ML applications in production. Proficiency in More ❯

services using .NET Core/.NET 6+ Collaborate efficiently on an AI-driven project alongside the customers Lead Backend Engineer Work closely with ML Engineers, App Developers, and Data teams for integrated feature delivery Design and build RESTful APIs to expose AI models and LLM prompt-based services Integrate trained ML models into backend systems supporting real product … features Build and maintain infrastructure for data ingestion, processing, and secure storage Support full end-to-end testing with QA and development teams to prevent security or data issues Create services to manage data ingestion for model training and dynamic personalization Implement access controls, password policies, and SSO using existing client authentication models Secure … APIs and data pipelines with encryption and appropriate authentication measures Required Skills and Experience Proven experience in .NET Core/.NET 6+ development Strong understanding of REST API design and backend microservices architecture Experience working on AI/ML integrations in production environments Familiarity with secure coding practices and enterprise-level data protection standards Comfortable with More ❯

Were looking for a data and technology-oriented Staff Software Engineering Manager to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care? Flatiron Health is a healthtech company using data for good to power … the US, Europe and Asia to transform patients real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group. What You'll Do This role will design and develop technology … challenges Rapidly iterate on products while maintaining engineering practices that ensure quality and security Promote technical excellence and elegant infrastructure design with teammates and customers Work with complex data pipelines using a variety of data processing tools Bring or develop a deep knowledge of healthcare in the UK, including data sources, security requirements, and More ❯