76 to 100 of 676 Workflow Jobs in England

have at least 5 years residency in the UK with no more than a 3-month break outside the UK. This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. Theyre ...

considered for the ideal candidate. NB: Please only apply if you already have UK Security Clearance (SC). Overview This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They ...

problem-solving skills, with the ability to analyze complex data sets and propose innovative solutions. Understanding of trading lifecycle, including order capture & execution, allocation workflow, settlement, and compliance requirements Must have strong technical skills in scripting, Python, PowerShell, C#, SQL or other programming languages Solid track record in application deployment ...

delivered to a high standard. What you'll be doing: Creating and executing test plans, test cases, and regression packs Performing functional, regression, integration, workflow, UI and basic API testing Validating data flows, business rules, and system behaviour across complex workflows Managing defects, test cycles, and traceability using Jira ...

systems and agents to streamline sourcing, research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets ...

internal teams (predominantly the tech team) Manage live customer projects from planning to final review Provide customer training to new and existing customers Deliver workflow advice to customers using the product Identify significant new projects Basic troubleshooting and escalation of issues to the tech team Gain an in-depth understanding ...

systems and agents to streamline sourcing, research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets ...

digital platforms, including Microsoft 365, CRM, ERP, PIM, Digital Asset Management and HR platforms Support and assist with digitisation projects such as system customisations, workflow automation, data migrations, and third party integrations Assist with building forms, workflows and process enhancements using Microsoft 365 and other tools Provide testing and user ...

trusted technical advisor for key clients Attend technical review meetings and present environment health insights Translate technical concepts into business-focused recommendations Process & Workflow Improvement Develop and refine SOPs, runbooks, and escalation workflows Improve documentation quality and ensure knowledge is shared Identify opportunities for automation and efficiency gains Skills ...

compliance with ISO 19650 information management principles. Process Optimization and Automation: Implement processes for automating data flow between BIM tools and CDE systems. Identify workflow improvement opportunities that enhance collaboration and data accessibility. Technical Leadership and Support: Provide guidance on the setup and integration of systems to meet project requirements. ...

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 ...

infrastructure, and frontend (React/TypeScript). You don’t wait for someone else to build the other half. Experience with event-driven or workflow orchestration systems. You understand what breaks when you move beyond simple request-response. Comfortable with AWS (EKS, IAM, networking) and modern CI/CD practices. ...

operational problems. Design and test AI-enabled improvements Working closely with product owners, service desk SMEs, and delivery teams, you will: Develop AI-driven workflow improvements (prompts, suggestions, automation patterns). Prototype simple AI agents or copilots that support service workflows. Ensure solutions align with governance, security, and permission models. ...

Familiarity with GitHub workflows and a passion for open-source development. AI-Assisted Development: Proficiency using AI development tools as part of the engineering workflow, with curiosity for exploring new tools and improving how the team works. Communication: Strong communication and interpersonal skills, with the ability to convey technical information ...

pipelines Coordinate with external engineering and technical departments to deploy systems within control rooms, OB units and cloud based environments Design and document graphics workflow diagrams to streamline production and reduce latency or failure points Identify and implement improvements for automation, redundancy and failover in live broadcast environments Standardise configuration ...

practices. Support learners across an extended transformation journey, guiding them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning ...

accuracy, data error rates, cycle times, on-time reporting). Systems Roadmap (non-tech ownership) Shape and maintain the commercial systems roadmap focused on workflow improvements, data integrity, and user experience. Commercial lead for integration of AFB supplier contracts into our commercial systems, working with Tech and system suppliers ...