26 to 50 of 114 Workflow Jobs in the North of England

Strong experience with AWS services and infrastructure as code using Terraform Data engineering expertise using Apache Spark and Python, including development in Jupyter Notebooks Workflow orchestration and containerisation experience with Apache Airflow and Docker Version control and CI/CD proficiency using GitLab, including automated pipelines SC Cleared DevOps Engineer ...

Platform, or other conversational AI frameworks. Strong understanding of LLMs, prompts, grounding, and RAG workflows. Proficiency with Power Automate, APIs, JSON, Microsoft Graph, and workflow automation. Experience working with Microsoft 365 services (SharePoint, Outlook, Teams, OneDrive). Ability to translate business requirements into technical solutions. Familiarity with data governance, identity ...

Platform, or other conversational AI frameworks. Strong understanding of LLMs, prompts, grounding, and RAG workflows. Proficiency with Power Automate, APIs, JSON, Microsoft Graph, and workflow automation. Experience working with Microsoft 365 services (SharePoint, Outlook, Teams, OneDrive). Ability to translate business requirements into technical solutions. Familiarity with data governance, identity ...

approaches Contributing to CI/CD pipelines and improving deployment automation Using AI-assisted coding tools as part of your day-to-day development workflow Supporting testing, validation, and production readiness of migrated services What We’re Looking For We’re looking for engineers who are confident working in fast ...

Automation expertise to all business areas, ensuring optimal investment in the toolset and delivery of solutions in line with industry best practices. Lead workflow strategy, design, and build, integrating with other Microsoft services and third-party solutions to achieve the strategic objectives of the organisation. Create and manage a catalogue ...

Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools Why This Role is Exciting Work directly with the founder on a startup backed ...

Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools Why This Role is Exciting Work directly with the founder on a startup backed ...

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 ...

flows). Strong analytical skills with experience in data interpretation, reporting, and turning insights into action. Ability to design and configure simple automations (e.g. workflow tools, low-code/no-code platforms). Excellent stakeholder management skills- capable of translating between business users and technical teams. Strong documentation and process ...

Redmine. Experience working with Salesforce (CRM) and process‐mapping/design tools including Visio and Figma (or equivalent). Strong understanding of process mapping, workflow automation, continuous improvement principles, and control frameworks. Excellent verbal and written communication skills, with experience engaging and managing stakeholders across both business and technology teams. ...

Keeping ticket records accurate and up to date Communicating clearly with users, translating technical issues into simple terms Collaborating with wider IT teams and workflow managers Supporting ad hoc tasks and project work as required Ensuring compliance with security and health & safety policies Essential Skills & Experience Previous IT support experience ...

activities Assist with integration monitoring and data quality checks Continuous Improvement & Governance Identify recurring issues and recommend process or system improvements Support automation and workflow enhancement initiatives Ensure compliance with IT governance, security, and change management processes Participate in audit and compliance activities Stakeholder Management Act as a liaison between ...

through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing ...

observable integration layer Collaborate with Product, QA, and DevOps to deliver high-quality releases Use AI-assisted development tools as part of your daily workflow Requirements (Must Have) Experience with C#/.NET Core Strong experience with ASP.NET Core/Web API Modern JavaScript/TypeScript experience Experience with ...

ready features that rely on services such as Anthropic Claude, AWS Bedrock, and OpenAI. AI-assisted development will be a core part of your workflow, and you will help shape how it is adopted across the engineering team. This role is ideal for someone who has already worked ...

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 ...