51 to 75 of 379 Workflow Jobs in the UK excluding London

data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends Collaborate with team ...

change activities across multiple business functions Providing technical support to commercial and production teams regarding SAP materials and lifecycle statuses Monitoring KPIs relating to workflow requests and supporting continuous improvement initiatives Essential Criteria: Demonstrated expertise in SAP Altias, SAP Ganesh, or related SAP modules. Extensive experience as SAP Ganesh user ...

Azure).· Hands-on Data Engineering development experience.· Excellent SQL skills at both a functional and non-functional level.· Knowledge of data integration and workflow applications (ideally Azure Data Factory).· Agile environment experience.· Branch-based source control experience.· Computer Science or STEM degree.· Experience coaching/training others.Up ...

Have AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. Youll enjoy: Remote-first working with offices in London ...

requirements into scalable solutions Delivering and optimising solutions across ITSM, ITOM, HR, CSM, Service Catalogue, App Engine and integrations (including collaboration tools) Driving automation, workflow efficiency, reporting and platform optimisation to maximise ROI Owning upgrades, lifecycle management, and continuous improvement of the platform Acting as a technical mentor and leader ...

voting workflows, reporting, and new AI-driven research capabilities. What you'll be doing Designing and building scalable backend services and APIs Working on workflow systems that support large-scale voting operations Prototyping and productionising AI-enabled features Refactoring and modernising legacy services Collaborating closely with engineers, product and operations ...

Python, with solid exposure to AWS or other cloud-based data tools. Familiarity with version control systems such as Git and workflow/orchestration tools such as Airflow. Proven ability to test and troubleshoot data systems, with a track record of improving reliability and accuracy. Excellent communication skills, with ...

principles, and clean code practices Participate in code reviews, sprint planning, and architecture sessions Collaborate closely with other developers, product teams, and stakeholders DevOps & Workflow Use Git for version control and CI/CD pipelines for deployment Work with Docker for containerised development What We’re Looking ...

your chance to shine and create innovative solutions to complex challenges!What Will You Be Doing Develop and maintain front-end components of their workflow automation platform using cutting-edge web technologies.Collaborate closely with the team to enhance Python back-end functionality, ensuring a seamless user experience.Assist in designing, implementing ...

standard operating procedures Ensure all AI processes meet best‐practice standards Design and deliver training to upskill colleagues on AI tools Support teams through workflow changes driven by GenAI adoption Collaborate with content teams to improve the knowledge base that powers GenAI accuracy Facilitate cross‐team knowledge sharing to encourage ...

teams operate. Your background and strengths include experience with: 3rd line infrastructure support with an automation focus Cloud and Microsoft enterprise environments Scripting, workflow automation, and configuration management Structured service delivery and ITIL-aligned processes You'll bring strong communication skills, a customer-focused approach, and the ability to engage ...

second-and third-line support for legal and business-critical applications, including: Document Management Systems (DMS) Practice and Case Management Systems (PMS/CMS) Workflow and matter lifecycle platforms Legal finance and time recording systems Investigate, diagnose, and resolve complex application-related incidents, service requests, and problems in line with ...

technology solutions that improve operational efficiency. Champion automation and data-driven decision-making across departments. Champion continuous improvement and performance tracking. Champion and assist workflow automation. Assist the improvement of data flow and visibility. Support data governance and ensure secure handling of client and operational data. Process & Procedure Optimisation Assist ...

automation, managing infrastructure as code, building CI/CD pipelines, providing self-service infrastructure, and being a partner to development teams to improve their workflow and remove blockers. Maintain and drive strong collaboration between federated domains underpinning internal cloud across CTO, and across the business lines and with vendors. Provide ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...