1 to 25 of 64 Workflow Jobs in the South West

agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g., AWS AgentCore). Define and govern DevOps, platform engineering and observability standards, including CI/CD pipelines, infrastructure-as-code, containerisation (Docker, Kubernetes), monitoring, alerting ...

/or Ansible Data Engineering SQL databases including PostgreSQL, MySQL, or SQL Server Data modelling and data warehousing Large-scale data processing with Spark Workflow orchestration using Airflow MLOps & Platform Engineering Machine learning deployment and monitoring MLOps tooling and automation CI/CD pipelines and DevOps best practices Observability & Reliability ...

audience. Translate between technical and business language fluidly and write compelling proposals and specifications. AI-Augmented Development : Integrate AI tools strategically into your development workflow and that of the team. Review AI-generated code with the same rigour as human code and never ship code you don't fully understand. ...

Implement and manage hybrid data solutions across on-premises and Azure environments Build and maintain PostgreSQL database solutions Manage Elasticsearch deployments and optimisation Implement workflow automation using Azure Data Factory Develop and support Real Time event streaming solutions using Kafka and NATS Support security, authentication and access management using technologies ...

opportunities to improve warehouse processes, inventory control and operational efficiency.Support Lean and Continuous Improvement initiatives across the operation.Participate in process mapping, waste reduction and workflow optimisation projects.Measure and report on improvement project outcomes.Support the implementation of best practices across warehousing and supply chain operations.WMS & Systems DevelopmentAct as a key site ...

improve warehouse processes, inventory control and operational efficiency. Support Lean and Continuous Improvement initiatives across the operation. Participate in process mapping, waste reduction and workflow optimisation projects. Measure and report on improvement project outcomes. Support the implementation of best practices across warehousing and supply chain operations. WMS & Systems Development ...

ensure deals progress smoothly and efficiently Ensuring compliance with pricing, approval and operational processes Identifying and resolving issues that may impact revenue recognition Workflow & Stakeholder Management Managing and prioritising incoming requests in line with SLA requirements Communicating effectively with internal stakeholders on progress and timelines Balancing urgent requests alongside ongoing ...

Experience Excellent communication and stakeholder management skills. Ability to gather, analyse and clearly present business requirements. Experience producing functional specifications, process maps and workflow documentation. Strong organisational skills with excellent attention to detail. Ability to communicate effectively with both technical and non-technical audiences. Experience using JIRA or similar project ...

support commercial decision-making. Skills & Experience: Advanced Power BI development and data visualisation capability. Experience using Alteryx and ETL processes for data preparation, workflow automation and data quality management. Strong experience working with market data platforms such as Nielsen and Kantar. Strong analytical and storytelling skills with the ability ...

available for reporting, analytics, and operational use. Key Responsibilities Design, build, and support data pipelines and integrations between BMfS systems (e.g. case management, payments, workflow) and DDAP. Implement and maintain ETL/ELT processes, ensuring data is accurate, timely, and fit for purpose. Monitor, troubleshoot, and resolve data pipeline failures ...

skills in Python and SQL Experience working with at least some of: Distributed computing frameworks (e.g. Spark, Databricks) Cloud platforms (AWS, Azure, or GCP) Workflow orchestration tools (e.g. Airflow) Strong understanding of data system reliability, testing, and performance Experience troubleshooting and improving production data systems Strong problem-solving skills ...

will act as a key systems champion, helping drive user adoption, process improvement, and best practice usage. You will also support configuration, testing, reporting, workflow improvements, and ongoing system enhancements, while liaising with both internal stakeholders and external suppliers. Key Responsibilities Provide first-line and second-line support for Microsoft ...

Engineering and UnderwritingOversee end-to-end product and data pipeline workflowsWork closely with senior stakeholders and business leadership teamsDrive delivery priorities, sprint planning and workflow managementProduce and interpret analytical and operational reports using tools such as Excel and TableauEnsure effective collaboration between technical and non-technical teamsSupport process improvement ...

Engineering and UnderwritingOversee end-to-end product and data pipeline workflowsWork closely with senior stakeholders and business leadership teamsDrive delivery priorities, sprint planning and workflow managementProduce and interpret analytical and operational reports using tools such as Excel and TableauEnsure effective collaboration between technical and non-technical teamsSupport process improvement ...

renewals Ensure all sales activity follows agreed process, pricing and approval frameworks Proactively identify and resolve blockers that may delay revenue recognition Ticket & Workflow Management Manage incoming requests via Zendesk, prioritising according to revenue impact and SLA Balance urgent tactical requests with ongoing operational responsibilities Provide clear communication back ...

PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects ...

internal processes and improve productivity. Build intelligent assistants, automation scripts, and integrations across business systems. Create reusable automation frameworks and components to accelerate development. Workflow & Operational Efficiency Analyse existing business processes and identify opportunities for automation and optimisation. Implement workflow automation solutions that reduce manual effort and improve operational efficiency. … experience integrating OpenAI or similar AI technologies into business workflows. Experience working with Microsoft Copilot Enterprise or similar enterprise AI tools. Strong understanding of workflow automation, APIs, and system integrations. Knowledge of IT security principles, identity management, and data protection. Experience implementing governance frameworks and best practices for AI systems. ...

Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations Ready to take your career to the next level? Apply today ...

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 ...

internal processes and improve productivity. Build intelligent assistants, automation scripts, and integrations across business systems. Create reusable automation frameworks and components to accelerate development. Workflow & Operational Efficiency Analyse existing business processes and identify opportunities for automation and optimisation. Implement workflow automation solutions that reduce manual effort and improve operational efficiency. … experience integrating OpenAI or similar AI technologies into business workflows. Experience working with Microsoft Copilot Enterprise or similar enterprise AI tools. Strong understanding of workflow automation, APIs, and system integrations. Knowledge of IT security principles, identity management, and data protection. Experience implementing governance frameworks and best practices for AI systems. ...

change initiation process are completed accurately and in a timely manner, maintaining compliance with governance standards. Use project management tools to administer the workflow of change within value streams. Ensuring that all documentation is maintained to provide a clear and complete record for all change initiatives. Working with colleagues within ...

service modelling principles •Knowledge of BMC Remedy and/or BMC Helix •Experience producing process maps, integration designs, and operating models •Understanding of APIs, workflow automation, and service integrations •Strong stakeholder management and communication skills •Experience in regulated, government, or defence environments is desirable #LI-SB2 Together, as owners ...

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 ...