51 to 75 of 142 Workflow Jobs in the South East

skills * Strong troubleshooting and problem-solving ability Desirable skills: * XML, XSLT, HTML, APIs or SSRS * Software implementation or Professional Services experience * User training delivery * Workflow, document management or financial software solutions * Project management or software testing experience The role may involve UK and occasional international travel. Hybrid working once passed ...

data and AI products * Conducting statistical analysis and regression modelling to generate insights * Creating dashboards and visual outputs for business stakeholders * Supporting AI workflow development, including exposure to large language models * Working with cloud technologies, particularly Azure, to support deployment * Collaborating with front end and UI teams to create user ...

skills with the ability to engage stakeholders effectively Comfortable working across multiple teams and managing competing priorities Desirable Skills Experience with Power Automate and workflow automation Familiarity with ITIL processes and tools such as ServiceNow ...

business systems and Microsoft 365. Experience managing suppliers and multiple concurrent projects. Skilled in stakeholder engagement and communication. Proficient in Power BI and workflow automation tools. Good understanding of data security, integrations, and risk. Experience using AI-enabled tools (e.g. Microsoft Copilot). Organised, pragmatic, and delivery-focused under pressure. ...

solutions within a Microsoft Azure ecosystem. Develop intelligent search, knowledge retrieval and conversational AI capabilities. Create prototypes focused on automation, document analysis, summarisation and workflow optimisation. Support predictive analytics and data-driven decision-making initiatives. Produce clear technical documentation, implementation notes and handover materials. Collaborate closely with stakeholders to demonstrate ...

content supply chains. Support design of workflows covering content ingest, production, post-production, asset management, storage, distribution, and archiving. Identify opportunities for workflow automation and operational efficiencies. Build relationships across Editorial, Technology, Commercial, Data Privacy, and Operations teams. Navigate a complex stakeholder landscape, facilitating decision-making across multiple business functions. ...

Experience delivering transformation in regulated environments Track record of driving measurable business impact Desirable Financial Crime, KYC, CDD or onboarding experience AI, automation, or workflow transformation exposure Experience in complex enterprise change Skills & Capabilities Outcome-driven, execution-focused leader Strong ability to bridge strategy and delivery Product mindset with experience ...

Office applications Desirable A basic level of technical knowledge/experience. Very good understanding of the service expectations of client customers. Proven workflow management skills within an IT environment Excellent problem-solving skills and root cause analysis Ability to develop relationships with ISP's Excellent people skills and a desire ...

benefits data (e.g., company car CO2 emissions, medical premiums) to ensure accuracy before migration into the live payroll system. 2. Process Re-engineering & Integration Workflow Design: Map and overhaul the current HR-to-Payroll data pipeline, replacing manual month-end/year-end processes with automated, real-time data sharing. ...

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 ...

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 ...

appropriate and strong awareness of accuracy, bias and compliance. Bringing the ability to design and reuse prompt templates to support consistent, high-quality workflow outputs, and skilled in using AI to triage, classify and analyse information within Centrica policy guardrails. Strong ability to recognise higher-risk scenarios and escalate ...