926 to 950 of 1,006 Data Pipeline Jobs in the UK

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data More ❯

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data More ❯

complex global environments, delivering critical support to clients in high-risk and technically demanding sectors. This is an opportunity to step into a pivotal in house role where data integrity, technical problem solving, and cloud first strategy meet international operations. We’re looking for a hands-on M365 Data Support Engineer who thrives on autonomy, precision … business leaders, technical stakeholders, and field teams worldwide, all while contributing to robust systems that underpin real world impact. Key areas of focus: Ownership of existing and future data pipelines, ensuring security, access, and seamless usability Building out innovative flows and apps using the Microsoft Power Platform Migrating legacy platforms to M365, in line with a cloud-first More ❯

intelligently to user behaviour. • Cross-functional execution : Lead product development from discovery through launch. Work closely with engineering, ML, design, and go-to-market teams. You will define data requirements, shape architecture and UX, and track product performance through clear metrics. • Go-to-market and monetisation: Develop pricing and packaging strategies for AI features. Test business models and … validate product-market fit. You will own the commercial success of your product areas. • Data-driven learning loops : Create feedback systems that capture user behavior, AI performance, and commercial outcomes. Use this data to run experiments, improve models, and refine user experiences. • Customer and internal enablement : Engage directly with early users and create internal tools, documentation … user-facing tools that use machine learning, especially in scheduling, coordination, or productivity software. • Technical fluency : You are comfortable with concepts like embeddings, intent detection, prompt design, and data pipelines. You don't need to code, but you understand enough to speak with engineers and data scientists with confidence. • Workflow thinking : You're passionate about redesigning More ❯

Join us. Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. The Data & Artificial Intelligence organization is … the fuel for EG transformation, traveler experience innovation, analytics and actionable insights, machine learning, competitive intelligence, partner, and supplier success. The Data & Artificial Intelligence organization is looking for a Distinguished Machine Learning Scientist who enjoys doing hands-on exploratory ML/AI projects. This Distinguished Scientist will help define large $1B problems or futuristic opportunities where ML/… improve organizational capabilities. Be hands-on and builds end-to-end design of models based on detailed understanding of business requirements, including general approach, choice of algorithm and data sources. Demonstrates an authoritative understanding of the business successes challenges and strategic objectives; draws from experience to evaluate solutions from the business' perspective and provide advice regarding opportunities and More ❯

measuring, and reporting market risk across trading activities and investment portfolios. You will leverage your strong analytical and programming skills to build and maintain robust risk models and data pipelines, ensuring the accuracy and efficiency of their risk management framework. We are looking for a self-starter who can collaborate with other teams and communicate effectively with stakeholders. … VaR), portfolio sensitivities, and other market risk metrics. Utilize Python programming language and relevant libraries (Pandas, NumPy, SciPy) to manipulate, analyze, and visualize market data. Build and maintain data pipelines for efficient ingestion, transformation, and cleansing of financial data from various sources. Conduct back-testing and stress-testing exercises to assess the effectiveness of risk models … methodologies, including econometrics. Proficiency in Python and relevant libraries (Pandas, NumPy, SciPy). Solid understanding of time series analysis techniques and statistical modeling. Experience with building and maintaining data pipelines for financial data. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced, dynamic environment. Experience with financial modeling and derivatives pricing. Knowledge of SQL More ❯

your best, and do the work of a lifetime About the role: We're looking for a Senior Backend Engineer to help us build and scale our backend data integration and search systems. You'll play a critical role in building and optimizing systems that connect with external platforms like Notion, Jira, Confluence, OneDrive, and others-powering our … of our users. As Senior Backend Engineer you will be responsible for: Architect and develop scalable, secure backend systems and APIs. Design and implement integrations with third-party data systems (e.g., Notion, Jira, Confluence, OneDrive). Work on enhancing our proprietary search engine , indexing and querying structured and unstructured data. Collaborate closely with the AI team to deliver … in Python and cloud-based architectures (preferably GCP). Strong understanding of modern software development best practices, including CI/CD, containerization, observability, and microservices . Experience with data integrations and APIs , particularly across enterprise tools. Familiarity with search indexing and large-scale data pipelines is a strong plus. Strong understanding of system design, distributed systems More ❯

leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. Job … instrumental in helping clients activate Striders platform through tailored integrations and scalable technical solutions. Were looking for a trusted technical advisor who thrives at the intersection of software, data, and customer success. This is an opportunity to shape how our clients operationalize strategic intelligence and to support Striders European expansion. Key Responsibilities In this role, you will serve … as the technical lead during both presales and post-sales engagements. Your responsibilities include: Leading architecture discussions with clientsguiding the design of integrations, data flows, and deployment strategies. Implementing and supporting secure access and identity workflows, such as SSO and role-based access. Building and maintaining custom data pipelines that enable structured and unstructured onboarding for More ❯

leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. Job … helping clients activate Strider's platform through tailored integrations and scalable technical solutions. We're looking for a trusted technical advisor who thrives at the intersection of software, data, and customer success. This is an opportunity to shape how our clients operationalize strategic intelligence and to support Strider's European expansion. Key Responsibilities In this role, you will … serve as the technical lead during both presales and post-sales engagements. Your responsibilities include: Leading architecture discussions with clients-guiding the design of integrations, data flows, and deployment strategies. Implementing and supporting secure access and identity workflows, such as SSO and role-based access. Building and maintaining custom data pipelines that enable structured and unstructured More ❯

Graduate Software Engineer (Data & Infrastructure) London, United Kingdom At Modo Energy, we're on a mission to build the information architecture for the energy transition - we want to be the only place to come to for information on the global journey to net zero. Take a look at our platform , where we provide open access to an array … us in shaping the culture of a rapidly growing team. The role As a software engineer you will be trusted with responsibility day one, adding value to our data and infrastructure team. You will be responsible for developing new features and ensuring they are scalable, reliable, and efficient to meet future demands. We're looking for engineers who … are hungry to learn quickly. This position requires a proactive approach and readiness to introduce modern practices to development, monitoring, maintaining, and improving our data pipelines and infrastructure. We offer multiple career progression paths based on your interests and experience, whether that be in data engineering or infrastructure. At Modo, there will be opportunities to deepen More ❯

making and quoting strategies across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making platform development using a range More ❯

your skills and experience talk with your recruiter to learn more. Base pay range Direct message the job poster from Arrows Director of Europe & Al/ML/Data - UK, DACH & BENELUX Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of Londons most exciting AI start-ups at … up - its a company where cutting-edge research meets practical, scalable product development. The Role: As a founding ML engineer, youll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. Youll work closely with product and engineering to integrate intelligent features into a user-facing product from day one. Youll … pragmatic about delivering impact! Python and modern ML libraries (e.g. PyTorch, TensorFlow, JAX) AWS and cloud infrastructure for scalable training and inference ML ops tooling, model monitoring, and data pipelines Bonus: experience with LLMs & generative AI is a strong plus What Theyre Looking For: Top-tier academic background in Computer Science, Engineering, Maths or a related field Oxbridge More ❯

collaborative design and development practices at the core, you will partner with technical leads, founders, senior leadership, and external clients to define and deliver complex inbound and outbound data integrations that unlock value at scale. You will: Define the integration roadmap & strategy, prioritising initiatives that multiply Winnow's impact and revenue. Work with cross scrum teams to deliver … secure, reliable APIs, data pipelines and third party connectors. Partner with Business Development to shape commercial proposals and manage client expectations throughout the integration lifecycle. Influence product direction in a fast paced environment and see your work rapidly deployed by hospitality businesses worldwide. Over time, based on business needs as well as capability and interest, your area of … and value of pursuing different strategic integration pathways to accelerate business growth. Define and maintain a multi year integration roadmap aligned to company OKRs and market opportunities. Build data driven business cases that quantify customer value, commercial impact and technical feasibility. Collaborate with enterprise customers to capture integration requirements and translate them into clear user stories and acceptance More ❯

homes, shifting usage to off-peak hours, and helping balance the grid. The energy network helps the grid achieve energy stability, a crucial requirement for growth of AI data centers and energy intensive industries. Weve raised $90M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and strategic angels like Nico Rosberg, co … automation. This role is both strategic and hands-on. Youll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams. What Youll Do Own the AI engineering roadmap and lead the development of AI-first features Productionize ML models, ensuring scalability, performance, and observability … with 5+ years of experience, including at least 2 years leading AI/ML engineering teams Deep experience deploying ML models into production environments Proficiency in designing scalable data pipelines and real-time inference systems Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker) Strong cross-functional collaboration skills, particularly with data More ❯

homes, shifting usage to off-peak hours, and helping balance the grid. The energy network helps the grid achieve energy stability, a crucial requirement for growth of AI data centers and energy intensive industries. We've raised $90M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and strategic angels like Nico Rosberg … This role is both strategic and hands-on. You'll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams. What You'll Do Own the AI engineering roadmap and lead the development of AI-first features Productionize ML models, ensuring scalability, performance, and … with 5+ years of experience, including at least 2 years leading AI/ML engineering teams Deep experience deploying ML models into production environments Proficiency in designing scalable data pipelines and real-time inference systems Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker) Strong cross-functional collaboration skills, particularly with data More ❯

of trade, business, and investment systems. You'll also be at the forefront of the Security Operations Centre (SOC), overseeing the identification, collection, and analysis of security event data to generate high-fidelity, actionable alerts for cyber analysts. Working closely with the SOC Manager, you'll ensure that security tooling and data pipelines are current, effective … roadmaps are achieved as expected, ensuring requirements, policies, and standards to govern all activities and outputs are met. Reviewing high-priority or high-complexity analysis of security event data to manage security incident response, making key decisions on reporting or escalations for monitoring Containing and remediating those incidents, identifying potential process improvements. Communicating with a broad range of More ❯

techniques Develop and optimise execution algorithms to enhance trade performance Collaborate with portfolio managers, traders, and other researchers to refine investment strategies Maintain and improve research infrastructure, including data pipelines and backtesting frameworks Monitor model performance and adapt strategies to changing market conditions Job Requirements: Strong quantitative and analytical skills, with experience in systematic research or trading Proficiency … is an excellent opportunity to work in an innovative environment where cutting-edge research and technology drive investment decisions. Our client offers a collaborative culture, access to advanced data resources, and the opportunity to develop impactful systematic strategies. Interested? Register today, confidentially, with one of our friendly and dedicated recruitment specialists by clicking here More ❯

Do: Develop responsive and intuitive front-end interfaces using Blazor/Razor Components Translate UX designs and wireframes into performant, user-friendly features Build and integrate APIs and data pipelines across mobile and desktop environments Contribute to a platform-wide adoption of AI-enhanced development (e.g. automated testing, design audits) Support scalable cloud architecture using Docker, Kubernetes, and … DevSecOps workflows (GitHub, CI/CD, automated testing) Experience in the enterprise infrastructure, construction, or engineering sectors is highly desirable, especially where digital workflows, field operations, or geospatial data have played a role. Bonus Points For: Exposure to event streaming platforms (e.g. Kafka, SQS, EventHub) Familiarity with SQL/NoSQL, CosmosDB, or Kusto (KQL) Knowledge of IoT protocols More ❯

Do: Develop responsive and intuitive front-end interfaces using Blazor/Razor Components Translate UX designs and wireframes into performant, user-friendly features Build and integrate APIs and data pipelines across mobile and desktop environments Contribute to a platform-wide adoption of AI-enhanced development (e.g. automated testing, design audits) Support scalable cloud architecture using Docker, Kubernetes, and … DevSecOps workflows (GitHub, CI/CD, automated testing) Experience in the enterprise infrastructure, construction, or engineering sectors is highly desirable, especially where digital workflows, field operations, or geospatial data have played a role. Bonus Points For: Exposure to event streaming platforms (e.g. Kafka, SQS, EventHub) Familiarity with SQL/NoSQL, CosmosDB, or Kusto (KQL) Knowledge of IoT protocols More ❯

Q4 2024, led by Notable Capital, CRV and Heavybit. At its core, LocalStack provides a high-fidelity emulator and local cloud development platform. Imagine developing cloud applications and data pipelines entirely on your local machine within a lightweight cloud sandbox, running in Docker! Our mission is to empower developers to rapidly build and test their cloud applications, allowing … month ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago Senior Software Engineer Real-Time Data Applications London, England, United Kingdom 1 day ago Senior Software Development Engineer in Test - 100% Remote - Europe Tottenham, England, United Kingdom 2 weeks ago London, England, United Kingdom … Kingdom 4 months ago Senior Software Engineer - MySQL (Remote) London, England, United Kingdom 3 months ago London, England, United Kingdom 1 week ago Senior Software Development Lead - Backend Data Services London, England, United Kingdom 4 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 13 hours ago London, England, United Kingdom 3 weeks ago More ❯

Backend: Kotlin/Spring Boot, Python/FastAPI - Frontend: TypeScript, React, Next.js . Headless CMS, Design systems. - CI/CD: ArgoCD, GitHub Actions - Infrastructure: GCP, Kubernetes, Terraform, Grafana - Data: Postgres, dbt, BigQuery, Airflow, Hex What You'll Be Doing Igniting Potential: Lead, mentor, and empower a high-performing team of 3-6 engineers, focusing relentlessly on outcomes that … making complex ideas simple and compelling. Thrive in a dynamic product trio , collaborating seamlessly with product and design to rapidly build, test, and launch groundbreaking ideas. Are fiercely data-driven , challenging teams to measure impact and demonstrate undeniable added value . Exhibit an unwavering attention to detail and an unyielding commitment to delivering impeccable, high-quality code . … revolutionise health together! Bonus Points - Not required, but WOW us! Experience or exposure to the intricacies of payment systems . A proven ability to tackle scalability challenges (backend, data pipelines). Experience working hand-in-hand with Support teams , with an understanding of best practices for handling support at scale. A background in building cutting-edge web or More ❯

Role: Ontology Consultant Duration: Initial 6-month contract Location: UK (Remote) Duties Key Responsibilities: Ontology Development and Knowledge Engineering Design, build, and maintain ontologies to support data integration and semantic reasoning. Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI applications … and use cases. Utilize Semantic Graph tools for rule-based inference and semantic reasoning. Employ Property Graph tools like Neo4j, Amazon Neptune, and TigerGraph for network analytics and data exploration. Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply network science techniques to analyze and interpret complex relationships … within graph data. Develop algorithms and models to extract insights from graph structures and relationships. Use network insights to enhance AI systems’ ability to reason across interconnected data sets. Skills Required Skills and Qualifications Strong expertise in ontologies, including their design, implementation, and application in real-world scenarios. Proficiency in graph database technologies, with hands-on experience in More ❯

Role = Ontology Consultant Duration = Initial 6-month contract Location = UK (Remote) Job Spec Key Responsibilities Ontology Development and Knowledge Engineering Design, build, and maintain ontologies to support data integration and semantic reasoning. Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI … and use cases. Utilize Semantic Graph tools for rule-based inference and semantic reasoning. Employ Property Graph tools like Neo4j , Amazon Neptune , and TigerGraph for network analytics and data exploration. Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply network science techniques to analyze and interpret complex relationships … within graph data. Develop algorithms and models to extract insights from graph structures and relationships. Use network insights to enhance AI systems’ ability to reason across interconnected data sets. Skills Required Skills and Qualifications Strong expertise in ontologies , including their design, implementation, and application in real-world scenarios. Proficiency in graph database technologies , with hands-on experience in More ❯

Role = Ontology Consultant Duration = Initial 6-month contract Location = UK (Remote) Job Spec Key Responsibilities Ontology Development and Knowledge Engineering Design, build, and maintain ontologies to support data integration and semantic reasoning. Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI … and use cases. Utilize Semantic Graph tools for rule-based inference and semantic reasoning. Employ Property Graph tools like Neo4j , Amazon Neptune , and TigerGraph for network analytics and data exploration. Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply network science techniques to analyze and interpret complex relationships … within graph data. Develop algorithms and models to extract insights from graph structures and relationships. Use network insights to enhance AI systems’ ability to reason across interconnected data sets. Skills Required Skills and Qualifications Strong expertise in ontologies , including their design, implementation, and application in real-world scenarios. Proficiency in graph database technologies , with hands-on experience in More ❯

databases through proactive management and automation. Key Responsibilities Design, manage, and optimise SQL Server databases (on-prem cloud) Oversee replication, backup, failover, and recovery across Azure regions Automate data pipelines via Azure Data Factory & Logic Apps Collaborate with engineering, security, and architecture teams Independently lead projects and maintain technical documentation Review and enhance SQL performance through … Server 2019+ and Azure SQL Skilled in performance tuning, troubleshooting, and T-SQL development Proficiency in PowerShell, Azure CLI, and DevOps automation (CI/CD) Deep understanding of data security, encryption, and auditing. Interested? Apply now or send your CV to Dani for more information. More ❯