1 to 25 of 66 Permanent Workflow Jobs in the North West

ongoing transformation initiatives and support the development of scalable digital capabilities across Supply Operations. Key Responsibilities • Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes • AI & Analytics: Support ...

powered solutions using large language models (LLMs) Apply prompt engineering and context engineering techniques Build use cases such as: Chatbots Document processing AI copilots Workflow automation Data Integration & Quality Integrate data from multiple internal and external sources Ensure data quality, consistency, and reliability across platforms Collaboration & Stakeholder Engagement Work closely ...

Team: Work closely with function specific AI engineers and analysts to understand their data needs and unblock them quickly. Bring AI Into Your Own Workflow: Use AI tooling to accelerate your own engineering, from code generation to pipeline documentation to data quality checks. Team & Operations Share What You Know: Champion ...

understand data requirements and turn them into practical engineering solutions. Support the design of curated data models for reporting and analytical consumption. Monitor workflow performance, troubleshoot failures and improve the reliability of data processes. Contribute to better documentation, governance, naming standards, lineage and data access practices. Identify opportunities to automate ...

Primavera Unifier, Aconex and CDEs such as SharePoint and ProjectWise. Ability to design robust technical architectures covering integration models, data structures, coding frameworks, workflow design and interoperability patterns relevant to project controls ecosystems. Experience assessing and optimising existing systems architectures, identifying opportunities to improve reliability, scalability and analytical capability. Background ...

Primavera Unifier, Aconex and CDEs such as SharePoint and ProjectWise. Ability to design robust technical architectures covering integration models, data structures, coding frameworks, workflow design and interoperability patterns relevant to project controls ecosystems. Experience assessing and optimising existing systems architectures, identifying opportunities to improve reliability, scalability and analytical capability. Background ...

pipelines and Git-based workflows Practical experience using AI coding tools (e.g. GitHub Copilot, Cursor, Claude) as a core part of your daily development workflow — not just autocomplete, but agent-led development, spec-driven development and prompt engineering for code generation Ability to read, review and reason about AI-generated ...

major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong commercial awareness with the ability to assess business value and prioritise AI initiatives effectively Excellent stakeholder management and communication ...

understanding of data reliability, controls and issue resolution. Experience working with cloud data services such as Azure, AWS or GCP. Exposure to lakehouse technologies, workflow scheduling or reporting platforms would be beneficial. Strong communication skills, with the ability to work across technical teams and business users. Why Consider This Role ...

Ensures technical guardrails are enforced via designs. May perform additional duties as assigned. Skills, Knowledge & Experience Expert knowledge of design and implementation of enterprise workflow systems, distributed architecture, intranet/internet architecture, and communication architectures. Senior level knowledge of the system development life cycle, along with system and application program ...

automation, and advanced analytics. Drive continuous improvement of procurement platforms, ensuring they evolve with business needs. Evaluate emerging technologies and tools (e.g. AI, analytics, workflow automation) to enhance procurement performance. System Implementation & Optimisation Lead or support end-to-end implementation of procurement systems (e.g. P2P, sourcing, contract lifecycle management ...

React Native app on the Expo/EAS toolchain EAS Build, Submit, and Update; comfortable dropping into Xcode or Gradle when the managed workflow isn't enough File-based routing, a responsive theming system, animation and gesture libraries Local persistence and query caching patterns OIDC authentication with platform-specific session ...

/Laravel, TypeScript, Vue.js and related web technologies. Use AI-assisted coding tools (e.g. Claude Code, Codex, Cursor, Gemini) as part of your everyday workflow, not as a novelty but as a core part of how you plan, write and review code. Design, build and extend agentic features ...

building reliable software in a collaborative engineering environment. AI-assisted development tools such as Claude Code and Cursor are already embedded into the teams workflow, and engineers are encouraged to use them to improve delivery efficiency while applying strong technical judgement. What Youll Be Doing Building and improving business-critical ...

Have – AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. You’ll enjoy: Remote-first working with offices ...

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 ...

developers using our profiling tools Contribution to the development of new features, including work planning, feature design, and consideration of User Experience/workflow Design and development of new profiling tools and methodologies The creation of automated tests, contributing to our DevOps pipeline to maintain the fast cadence and high ...

major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem ...

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 ...

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 ...

internal developer portal capabilities Engineering data platforms, including ELT workflows, DBT and SQL-based data pipelines Observability and monitoring Grafana platforms Internal automation and workflow platforms that support software delivery and engineering operations You’ll also contribute to broader platform engineering initiatives, including: Streamlining software delivery workflows and engineering practices ...

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 ...