2,351 to 2,375 of 2,978 Data Pipeline Jobs in the UK

deliver on Investor Services AI strategy: Identify strategic opportunities for AI to solve critical business problems across Custody, Funds, Securities Finance and Data solutions.Problem Solving & Innovation: Act as a relentless problem solver, deeply understanding business challenges within Investor Services and translating them into innovative, AI-powered product solutions. … Champion creative thinking, exploring uncharted territories to develop novel approaches.Deep Technical & Architectural Leadership: Possess comprehensive understanding the underlying AI models, scalable infrastructure, data pipelines, and deployment architectures. Work together with engineers and architects to guide technical design decisions, ensuring the scalability, performance, robustness, and architectural integrity of Generative ...

deliver on Investor Services AI strategy: Identify strategic opportunities for AI to solve critical business problems across Custody, Funds, Securities Finance and Data solutions. Problem Solving & Innovation: Act as a relentless problem solver, deeply understanding business challenges within Investor Services and translating them into innovative, AI-powered product … Champion creative thinking, exploring uncharted territories to develop novel approaches. Deep Technical & Architectural Leadership: Possess comprehensive understanding the underlying AI models, scalable infrastructure, data pipelines, and deployment architectures. Work together with engineers and architects to guide technical design decisions, ensuring the scalability, performance, robustness, and architectural integrity ...

production deployment. Work across backend, frontend, and interacting with LLMs and ML models. Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. Deliver experiments and new features … poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit ...

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition … vision-language applications.Adapt agent workflows, models, tools, retrieval systems and configurations for production use.Integrate AI systems with enterprise APIs, databases, applications and data platforms.Develop reusable connectors, APIs and Model Context Protocol tools.Build automated CI/CD, testing, configuration management and deployment workflows.Implement authentication, access control, secrets management, security ...

production ML/AI platforms on Microsoft Azure. You will coach a compact team of MLOps, Analytics and AI Engineers, and collaborate with Data Science and Software teams to push reliable, auditable models into production. The role emphasises governance, CI/CD, and scalable data pipelines. ...

agents, automation, and intelligent search. You will help move AI use cases from prototype into production, working closely with product teams, software engineers, data specialists, and business stakeholders. The role will suit someone who is hands-on, commercially aware, and confident building AI-enabled applications that solve real … workflows. Work with cloud platforms to support scalable AI deployment. Integrate GenAI features into existing products, platforms, and business systems. Build and maintain data pipelines, vector search, embeddings, and knowledge retrieval workflows. Support experimentation, model evaluation, testing, monitoring, and optimisation. Work with software engineering teams to ensure ...

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy … language applications. Adapt agent workflows, models, tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access ...

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition … language applications. Adapt agent workflows, models, tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access ...

team’s deliverables and outputs — what is committed, what is delivered, to what standard, and by when.Allocate people and effort across the demand pipeline, and be the person who says no, not yet, or not like that.Hold the engineering bar through design and code review, and grow engineers into … signals from one desk into a supported, firm-wide capability, and lead the build-out of citizen developer workflows through to production.Expose data and capability through Accio, our centralised MCP server, and as skills, tools, and connectors on Nexus, building reusable components rather than one-off integrations.Co-build ...

European market leader in customs services, operating across 15 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company, dedicated to expanding its presence through strong organic growth and strategic acquisitions. Its key priorities include digital transformation, operational excellence and customer experience … against a baseline, and demonstrably better than what it replaced. By month twelve: There is a working evaluation process others can use, a ranked pipeline of next opportunities, and at least two colleagues outside IT operating what you have built without you in the room. What We Offer ...

European market leader in customs services, operating across 15 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company, dedicated to expanding its presence through strong organic growth and strategic acquisitions. Its key priorities include digital transformation, operational excellence and customer experience … against a baseline, and demonstrably better than what it replaced. By month twelve: There is a working evaluation process others can use, a ranked pipeline of next opportunities, and at least two colleagues outside IT operating what you have built without you in the room. What We Offer ...

applications on AWS . Integrate Large Language Models (LLMs), vector databases, and modern AI frameworks into production systems. Build secure, reliable, and performant data pipelines to power AI applications. Collaborate with product managers, engineers, and stakeholders throughout the deployment lifecycle. Optimize AI solutions for performance, reliability, and cost. … developing Generative AI applications using modern LLMs. Strong understanding of AI application architecture, APIs, and distributed systems. Experience working with structured and unstructured data . Ability to rapidly prototype solutions and iterate in fast-moving customer environments. Excellent problem-solving and debugging skills. Strong communication skills with ...

Fusion, Revit, 3DS Max, Maya), including tooling to support reproducible experiments and product deliveryWork across product and engineering boundaries, including lightweight frontend integration, data pipelines, service orchestration, experimentation tooling, or internal product workflows when neededWork with CI/CD systems (Jenkins, GitHub Actions) and containerized deployments (Docker … contribute to observability and reliability of servicesWrite robust, well-tested code and participate actively in code reviews and design discussions; follow security and data-handling best practicesCollaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped featuresDocument designs ...

Fusion, Revit, 3DS Max, Maya), including tooling to support reproducible experiments and product deliveryWork across product and engineering boundaries, including lightweight frontend integration, data pipelines, service orchestration, experimentation tooling, or internal product workflows when neededWork with CI/CD systems (Jenkins, GitHub Actions) and containerized deployments (Docker … contribute to observability and reliability of servicesWrite robust, well-tested code and participate actively in code reviews and design discussions; follow security and data-handling best practicesCollaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped featuresDocument designs ...

Fusion, Revit, 3DS Max, Maya), including tooling to support reproducible experiments and product deliveryWork across product and engineering boundaries, including lightweight frontend integration, data pipelines, service orchestration, experimentation tooling, or internal product workflows when neededWork with CI/CD systems (Jenkins, GitHub Actions) and containerized deployments (Docker … contribute to observability and reliability of servicesWrite robust, well-tested code and participate actively in code reviews and design discussions; follow security and data-handling best practicesCollaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped featuresDocument designs ...

standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with - and raise the technical bar for - ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future … experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands ...

tackle real‐world problems, particularly in automating complex, manual processes in a range of real‐world verticals. Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various … practices. You Might Thrive In This Role If You: Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Have experience building GenAI‐focused applications with the latest technologies, including but not limited to Agents, reasoning models ...

Revit, 3DS Max, Maya), including tooling to support reproducible experiments and product delivery Work across product and engineering boundaries, including lightweight frontend integration, data pipelines, service orchestration, experimentation tooling, or internal product workflows when needed Work with CI/CD systems (Jenkins, GitHub Actions) and containerized deployments (Docker … observability and reliability of services Write robust, well-tested code and participate actively in code reviews and design discussions; follow security and data-handling best practices Collaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped features Document ...

safely trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends. Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices. Implement infrastructure-as-code for platform … pipelines. REST APIs, Graph APIs, TMF Open APIs. NETCONF/RESTCONF, gRPC, vendor APIs. API management and orchestration. Intent-to-configuration workflows. Data pipelines. Vector databases and graph APIs. MCP integration. Security frameworks and compliance controls. Observability and logging. Preferred Certifications Kubernetes CKA/CKAD. Terraform Associate. ...

safely trigger network actions.* Support deployment and operation of AI platforms such as Vertex AI or similar.* Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends.* Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices.* Implement infrastructure-as-code for platform … pipelines.* REST APIs, Graph APIs, TMF Open APIs.* NETCONF/RESTCONF, gRPC, vendor APIs.* API management and orchestration.* Intent-to-configuration workflows.* Data pipelines.* Vector databases and graph APIs.* MCP integration.* Security frameworks and compliance controls.* Observability and logging.**Preferred Certifications*** Kubernetes CKA/CKAD.* Terraform Associate. ...

existing codebase while growing your skills in an agile, supportive environment. Required Skills & Experience of the Software Engineer: Strong Python: Writing and maintaining data pipelines. Able to solve complex problems. Excellent written, oral and visual communication skills to explain complex information. Enjoys and works well in a team … modifying existing/legacy codebases; good documentation and PR practices. SQL Databases: PostgreSQL and SQLite experience (schema design, migrations, basicperformance tuning). Orchestration & data engineering: experience with workflow/orchestration tools (Prefect or similar) and distributed task queuing (e.g. Celery, RabbitMQ). Testing & automation: writing unit and basic ...

consultative problem‐solving skills. This individual must be comfortable navigating complex enterprise environments, engaging with C‐suite leaders, and collaborating with engineers, data scientists, and delivery teams to craft compelling, high‐value AI solutions. Responsibilities Strategic Pre‐Sales & Deal Support Serve as the senior technical‐sales advisor … that resonate with non‐technical leaders. Facilitate strategy workshops, use‐case prioritization sessions, and AI roadmapping discussions. Solution Design & Technical Credibility Collaborate with data science, engineering, and architecture teams to design viable, scalable solution approaches. Validate feasibility, scope, and risks, and required capabilities for proposed AI solutions. Bring ...

complex operational challenges in a technology and music environment. What You'll Do You coordinate the day-to-day processing of digital usage data, ensuring high levels of accuracy and timely delivery across the global Digital Operations function. You oversee cross-functional operational projects from planning through … monitor operational performance and key metrics, identifying opportunities to improve processes and service delivery. You develop a detailed understanding of AMRA's digital data pipelines, operational processes, and reporting workflows to help resolve complex issues and identify future opportunities. You build strong relationships with senior stakeholders, department leaders ...

4.0 and IoT solutions, including smart tooling, vision systems, automation and real-time machine monitoring.Design solutions for device connectivity, sensor integration and industrial data management.Work with manufacturing teams to identify opportunities for new digital technologies and take solutions from concept through to deployment.Support existing automation, IoT, machine … projects.Strong stakeholder and communication skills.A relevant technical degree, such as Computer Engineering or Electrical & Electronic Engineering, or equivalent.Great if you also haveExperience with data pipelines, databases, AI/machine learning, AWS, Azure, Grafana, Node-RED, statistical analysis, Digital Twins or Lean Six Sigma would be an advantage.Why Thales ...

business requirements and enterprise standards. Take technical ownership of AI and software solutions through design, build, integration, testing and deployment. Build APIs, integrations, data pipelines and cloud‐native solutions that enable scalable AI applications. Evaluate, implement and optimise ML and LLM technologies, balancing performance, cost and risk. Lead … software engineering and integration experience. Experience delivering AI, machine learning or generative AI solutions in production environments. Strong understanding of system architecture, APIs, data engineering and cloud platforms. Demonstrated ability to evaluate and implement ML/LLM technologies against business requirements. Experience leading client engagements from discovery through ...