326 to 350 of 878 Workflow Jobs in the UK

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 ...

multiple LLMs (OpenAI, Anthropic, etc.). You go far beyond basic API wrappers and understand context management, prompt engineering, and model behavior. AI-Assisted Workflow: You already use AI coding assistants (Claude Code, Copilot, Cursor) to accelerate your own engineering workflow. Rapid Iteration: Comfort operating at extreme velocity in ambiguous ...

architecture Experience enabling and governing Microsoft 365 Copilot, including data readiness and risk mitigation Strong understanding of intelligent automation concepts, including Power Automate for workflow orchestration and AI Builder for embedding AI capabilities into business processes within governed environments Ability to translate compliance, risk, security, and automation requirements into business ...

Lead development of business dashboards for monitoring and tracking financial and operational KPIs. Reduce system fragmentation and manual reconciliation risks, replacing them with AI workflow orchestration solutions. Technology-Enabled Trading & Risk Excellence Digitally enhance commodity trading platforms with: Real-time analytics Risk management dashboards Exposure visibility Margin intelligence tools Strengthen ...

environment A track record of shipping meaningful product improvements and delivering measurable outcomes Experience working across both customer-facing products and internal tools or workflow systems Strong analytical and commercial judgement, with a clear focus on impact Excellent collaboration skills and the ability to work effectively across multiple functions Strong ...

Skills and Qualifications Proven experience working within a Supply Chain or Consumer Retail environment. Technical Tooling: Demonstrable experience using JIRA/Confluence for workflow management and appropriate process mapping tooling for requirement documentation. Minimum of 3+ years in an analytical role, with evidence of delivering projects that achieved measurable efficiency ...

Time Management: Can generally use time effectively and is working towards improving task prioritisation and deadline management. Organisation: Can prioritise daily tasks, manage personal workflow, and utilise basic tools to keep track of responsibilities. Planning: Can identify opportunities for improvement, propose plans, and organise resources without explicit instructions. Communication ...

with popular ERP technologies (e.g. Workday, Microsoft Dynamics 365, SAP or Oracle Demonstrable experience in implementing e-invoicing solutions Experience with data, analytics and workflow automation tools. (e.g. Alteryx, Power BI) Skills we’d love to see/Amazing Extras: Across GCT we would welcome applications from those qualified ...

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 ...

articulate how these tools have changed the way they design, write, and review code. Candidates who have not yet incorporated such tools into their workflow, or who regard them sceptically, are unlikely to be a good fit for this role. Desirable Experience The following are not strictly required, but candidates ...

equivalent). Understanding of monitoring and alerting systems (e.g., Dynatrace, Datadog, Splunk, Azure Monitor). Knowledge of ITSM processes (Incident, Problem, Change, Request) and workflow automation. Experience integrating automation with CI/CD, APIs, and cloud-native services. Strong understanding of identity models, RBAC, and secure automation practices. Ability nonrepresentational ...