376 to 400 of 476 Remote Data Pipeline Jobs

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 ...

Quantiphi is seeking an Associate Technical Architect - Data Experience to lead data warehouse and lakehouse design on AWS. Remote (UK) role with 8+ years of experience, focusing on scalable data pipelines, governance, and analytics platforms. The role requires deep AWS data services ...

Homerun B.V. is seeking a Senior Data Platform Engineer to design and own data pipelines for regenerative land-use projects. In this hands-on role, you will develop robust ETL workflows across various diverse data sources and make architectural decisions while closely collaborating with … subject matter experts. Applicants should have strong data engineering skills, experience in building production data pipelines, and familiarity with cloud platforms. This position permits remote work, with some attendance required at the London office. #J-18808-Ljbffr ...

Opus have partnered with a global FinTech company who're undergoing a large transformation to move their existing data platform from BigQuery to Snowflake. - Rate: £450 per day (Outside IR35) - Start Date: September 2026 - Length : 6 months - Working pattern : Fully-remote Key Requirements: Strong Snowflake experience (ideally 2+ … years) Experience with data platform migrations, particularly into Snowflake Building data pipelines, lineage frameworks, dynamic tables and semantic views Strong SQL and Python skills Experience with dbt (or similar tools such as Dataform) Exposure to Snowflake Cortex and Streamlit applications is highly desirable Agile environment experience ...

Cognizant in London is seeking an experienced Azure Databricks Data Engineer to design, develop, deploy, and optimize scalable data solutions on Microsoft Azure. You will build production-grade data pipelines with Delta Lake, Unity Catalog, and Databricks tools. The role requires hands-on expertise … PySpark, Python, SQL, and Spark architecture, plus experience with GitLab-based CI/CD, Databricks Asset Bundles, and Azure Data Lake Storage. #J-18808-Ljbffr ...

Artio is seeking a Senior Full Stack Engineer to own the technical architecture and platform behind our risk models. You will bridge software, data engineering and data science to deploy AI-driven insights for early-stage carbon insurance. The role is hands-on and autonomous, based … London with hybrid work. You will scale geospatial data pipelines and collaborate with founders and the data team to ship features from concept to production. #J-18808-Ljbffr ...

solutions, significant changes and alignment with Microsoft and enterprise architecture best practice. Define and validate architecture patterns for OneLake, Lakehouses, Warehouses, notebooks, data pipelines, dataflows, semantic models, Power BI and supporting Azure services. Review and strengthen the council's Bronze, Silver and Gold Medallion architecture, ensuring that transformations … reusable data products and reporting layers are consistent, scalable and supportable Review and strengthen Fabric and supporting Azure governance standards, including resource groups, subscriptions, ownership, tagging, RBAC, monitoring, cost management, workspace creation, lifecycle management and environment separation About you: You will have the following experiences: Proven experience designing ...

Software Engineer - Senior Department: Factor Employment Type: Permanent - Full Time Location: London, UK Description Factor is an API driven, AI powered retail data platform for global energy utilities. We use deep machine learning to help energy retailers accurately value the energy they sell: improving margins, unlocking more competitive … priced, forecast, and delivered globally. As a senior engineer, you will play a pivotal role in developing the core of our system: scalable data pipelines, pricing engines, and APIs that support real time decision making for energy retailers and their customers. You’ll work in a highly capable ...

develop AI solutions using LLMs and generative AI, including iterating on prompts and workflows to improve output quality. Build and maintain scalable data pipelines, applying best practices in data preparation to ensure quality and reliability. Help standardise and reuse AI workflows, making it easier for teams ...

across Checkout, while ensuring AI technologies are deployed in a safe, governed, and resilient manner. The successful candidate will work closely with Engineering, Data Governance, GRC, and business teams to embed security into AI systems, assess AI-related risks, and help the organisation adopt AI securely at scale. … will act as the bridge between cyber security and emerging AI technologies. You will help shape how Checkout secures AI tools, models, data pipelines, and supporting infrastructure, while also identifying opportunities to use AI to strengthen cyber defence capabilities. This is a hands-on role suited to someone ...

carbon-dioxide fluxes, and their coupling with the atmosphere, including links with atmospheric composition. It works closely with colleagues specialising in atmospheric composition, data assimilation, atmospheric modelling, machine learning, evaluation and operations, as well as with Member and Co-operating States and external partners, to support the delivery … European Commission Strengthen ECMWF’s engagement with WMO G3W and take a proactive role in collaborations with the wider greenhouse-gas observation, modelling, data-assimilation and inverse-modelling communities, representing ECMWF where appropriate Design numerical experiments, develop robust scientific software and support the transition of scientifically mature developments ...

accuracy, resolution rate, and time saved. Diagnose cases where systems are technically "working" but producing poor outcomes, and close the gap. Partner with Data Engineering on shared platforms (infrastructure, CI/CD, data pipelines, security and governance) and contribute to shared standards, schemas, and best practices ...

happy standing on site talking to teams about the root cause of a problem as you are developing bespoke tools, automation scripts, or data pipelines to solve the problem back at the office. You have the experience to know when traditional engineering tools are good enough. The sort … digital skills you have might include: Advanced construction or manufacturing planning software or business process simulation. Python for automation Data visualisation e.g. PowerBI , Jupyter Notebooks or JavaScript libraries Database development Computational design frameworks like Grasshopper/Dynamo AEC data integration tools ,e.g. Speckle Digital development ...

proofs of concept, leveraging AI/Gen AI tooling to accelerate delivery ("vibe coding"). Build and integrate AI, Generative AI and Data-driven features into products. Work within an Agile environment, contributing to sprint planning, stand-ups and iterative delivery. Collaborate closely with product, design and data … DynamoDB, etc.). Demonstrable experience in rapid prototyping and AI-assisted/"vibe coding" workflows. Exposure to AI, Generative AI and/or Data projects and tooling. Experience working in Agile delivery environments. Excellent communication skills and proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable ...

proofs of concept, leveraging AI/Gen AI tooling to accelerate delivery ("vibe coding"). Build and integrate AI, Generative AI and Data-driven features into products. Work within an Agile environment, contributing to sprint planning, stand-ups and iterative delivery. Collaborate closely with product, design and data … DynamoDB, etc.). Demonstrable experience in rapid prototyping and AI-assisted/"vibe coding" workflows. Exposure to AI, Generative AI and/or Data projects and tooling. Experience working in Agile delivery environments. Excellent communication skills and proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable ...

make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance … retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. ...

core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers our digital decision … into the environments where it matters most, whether that is protecting nations, infrastructure and lives, or transforming how commercial organisations reason over their data and make high-stakes decisions. As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production ...

core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers our digital decision … into the environments where it matters most, whether that is protecting nations, infrastructure and lives, or transforming how commercial organisations reason over their data and make high-stakes decisions. As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production ...

into infrastructure and deployment workflows from the start. AI-Assisted DevOps Automation Use AI-assisted and agentic tools to automate repetitive DevOps work, including pipeline creation,IaCgeneration, environment provisioning, deployment workflows, and operational runbooks. Experiment with tools such as GitHub Copilot , Cursor , Codex , and similar solutions to improve engineering … platform engineering tooling. Experience with security automation, policy-as-code, cost optimization, or FinOps practices in cloud environments. Exposure to AI infrastructure,MLOps, data pipelines, or supporting engineering teams that build AI-enabled products. Working Locations Croatia, Zagreb - Hybrid Croatia, Pula - Hybrid UK - Remote Why Join Us? Join ...

Engineer, you will define the quality and verification strategy across CoMind’s entire software stack from embedded real-time systems to cloud-side data pipelines. You will move beyond task-level execution to architect the infrastructure and 'compliance-as-code' processes that provide the engineering team with high … 14971. Proven ability to design 'compliance-as-code' workflows that integrate risk controls directly into the CI/CD pipeline and automate regulatory evidence generation. Technical Proficiency: Advanced Python and C/C++; extensive experience building scalable test infrastructure for both embedded hardware and cloud-side data ...

tool integration (including emerging protocols like MCP). Responsible AI Frameworks: Define and enforce AI governance, risk, and safety frameworks (covering bias, data privacy, and model risk) aligned with regulatory requirements. Team Leadership and Delivery: Mentoring and leading a team of AI engineers and architects, driving … accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active UK SC Clearance is essential. Experience: 10+ years in software, data engineering, or solution architecture, with at least 3-5 years focused specifically on applied AI/ML or Generative AI. Hands-on GenAI Depth ...

tool integration (including emerging protocols like MCP). Responsible AI Frameworks: Define and enforce AI governance, risk, and safety frameworks (covering bias, data privacy, and model risk) aligned with regulatory requirements. Team Leadership and Delivery: Mentoring and leading a team of AI engineers and architects, driving … accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active UK SC Clearance is essential. Experience: 10+ years in software, data engineering, or solution architecture, with at least 3-5 years focused specifically on applied AI/ML or Generative AI. Hands-on GenAI Depth ...

tool integration (including emerging protocols like MCP). Responsible AI Frameworks: Define and enforce AI governance, risk, and safety frameworks (covering bias, data privacy, and model risk) aligned with regulatory requirements. Team Leadership and Delivery: Mentoring and leading a team of AI engineers and architects, driving … accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active UK SC Clearance is essential. Experience: 10+ years in software, data engineering, or solution architecture, with at least 3-5 years focused specifically on applied AI/ML or Generative AI. Hands-on GenAI Depth ...

tool integration (including emerging protocols like MCP). Responsible AI Frameworks: Define and enforce AI governance, risk, and safety frameworks (covering bias, data privacy, and model risk) aligned with regulatory requirements. Team Leadership and Delivery: Mentoring and leading a team of AI engineers and architects, driving … accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active UK SC Clearance is essential. Experience: 10+ years in software, data engineering, or solution architecture, with at least 3-5 years focused specifically on applied AI/ML or Generative AI. Hands-on GenAI Depth ...

tool integration (including emerging protocols like MCP). Responsible AI Frameworks: Define and enforce AI governance, risk, and safety frameworks (covering bias, data privacy, and model risk) aligned with regulatory requirements. Team Leadership and Delivery: Mentoring and leading a team of AI engineers and architects, driving … accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active UK SC Clearance is essential. Experience: 10+ years in software, data engineering, or solution architecture, with at least 3-5 years focused specifically on applied AI/ML or Generative AI. Hands-on GenAI Depth ...