151 to 175 of 810 Workflow Jobs in England

and integrating with RESTful APIs in a production environment. Cloud-Based Environments - Familiarity with deploying and maintaining applications in cloud platforms (AWS, Azure, GCP). Version Control - Solid Git workflow knowledge for collaborative development. Office : Nottingham or Birmingham | Hybrid working Salary : £45,000 - £55,000 + strong benefits Benefits include: 30% pension contribution + 25 days AL (increases by More ❯

with relevant ML libraries/frameworks (pandas, numpy, sklearn, TensorFlow, PyTorch) Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with ML workflow orchestration tools (e.g., Airflow, Prefect, Kubeflow) and ML feature or data platforms (e.g., Tecton, Databricks, etc.) Experience with cloud platforms (AWS, GCP/Vertex, Azure), Docker, and Kubernetes Solid coding More ❯

ML engineering, with a focus on large language models and AI operations. Strong expertise in designing and deploying LLMs in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, or similar), and cloud platforms (AWS, GCP, Azure). This is a full-time, permanent role, with a flexible hybrid More ❯

global organisation. This role is ideal for someone passionate about building robust data architectures, enabling actionable insights, and driving analytics maturity across the business. Enjoy owning the full analytics workflow from raw ingestion to dashboards. Value clean, documented, and tested data models. Have a product mindset and embrace stakeholder feedback. Stay current with modern data tooling and best practices. Key More ❯

ERP projects (D365), translating finance processes into system solutions. Act as a trusted advisor to finance teams, improving processes and controls through technology. Oversee integrations across HRIS, ERP, and workflow tools to streamline reporting and automation. Identify and resolve technical and operational issues during implementation and post–go-live phases. Uphold security standards and assist in aligning systems with compliance More ❯

ERP projects (D365), translating finance processes into system solutions. Act as a trusted advisor to finance teams, improving processes and controls through technology. Oversee integrations across HRIS, ERP, and workflow tools to streamline reporting and automation. Identify and resolve technical and operational issues during implementation and post–go-live phases. Uphold security standards and assist in aligning systems with compliance More ❯

global organisation. This role is ideal for someone passionate about building robust data architectures, enabling actionable insights, and driving analytics maturity across the business. Enjoy owning the full analytics workflow from raw ingestion to dashboards. Value clean, documented, and tested data models. Have a product mindset and embrace stakeholder feedback. Stay current with modern data tooling and best practices. Key More ❯

ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including More ❯

ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including More ❯

data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: £130K & Bonus + benefits More ❯

data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: £130K & Bonus + benefits More ❯

and non-technical colleagues Able to set own agenda & manage own time - this is a stand-alone role, but will involve working closely with the business functions Confident managing workflow and projects to a deadline In return our client can offer an excellent basic salary plus benefits, a hybrid working environment and fantastic development opportunities. BBBH33733 More ❯

and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends Collaborate with team members to implement AI and More ❯

and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends Collaborate with team members to implement AI and More ❯

and prioritizing opportunities to deliver new capabilities. Build and maintain robust MLOps pipelines for scalable, reproducible, and automated model development, deployment, and monitoring. Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance. Essential Skills Master’s degree in Machine Learning, Mathematics, or More ❯

experience in C and C# . Familiarity with Django for web-based tools. Knowledge of Docker containerization. Exposure to Azure cloud services. Experience using Jira for issue tracking and workflow management. What We Offer A chance to work on industry-leading print technology used worldwide in a company recognised for excellence and a winner of King’s Awards for Enterprise More ❯

experience managing or leading automation or technical support teams Strong hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI) Experience with ServiceNow , including integrations and workflow management Knowledge of UiPath or similar RPA tools advantageous Strong process design, governance, and documentation capability Excellent stakeholder management and team development skills Experience managing service transition or bringing outsourced More ❯

requirements. Translate business needs into clear and concise functional specifications. Facilitate workshops, interviews, and meetings to gather insights and drive alignment. Develop process models, use cases, user stories, and workflow diagrams. Work closely with product owners to prioritize requirements and manage backlogs. Support the development and testing teams by clarifying requirements and ensuring alignment with business goals. Identify risks, issues More ❯

requirements. Translate business needs into clear and concise functional specifications. Facilitate workshops, interviews, and meetings to gather insights and drive alignment. Develop process models, use cases, user stories, and workflow diagrams. Work closely with product owners to prioritize requirements and manage backlogs. Support the development and testing teams by clarifying requirements and ensuring alignment with business goals. Identify risks, issues More ❯

backend systems Integrate APIs, enrich Data, and deliver robust, scalable Data pipelines Implement modern IaC practices for deployment and automation Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features Autonomy & Ambiguity - discover, design, and build without micromanagement. Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to More ❯

backend systems Integrate APIs, enrich Data, and deliver robust, scalable Data pipelines Implement modern IaC practices for deployment and automation Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features Autonomy & Ambiguity - discover, design, and build without micromanagement. Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to More ❯

backend systems Integrate APIs, enrich Data, and deliver robust, scalable Data pipelines Implement modern IaC practices for deployment and automation Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features Autonomy & Ambiguity - discover, design, and build without micromanagement. Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to More ❯

backend systems Integrate APIs, enrich Data, and deliver robust, scalable Data pipelines Implement modern IaC practices for deployment and automation Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features Autonomy & Ambiguity - discover, design, and build without micromanagement. Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to More ❯

backend systems Integrate APIs, enrich Data, and deliver robust, scalable Data pipelines Implement modern IaC practices for deployment and automation Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features Autonomy & Ambiguity - discover, design, and build without micromanagement. Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to More ❯

backend systems Integrate APIs, enrich Data, and deliver robust, scalable Data pipelines Implement modern IaC practices for deployment and automation Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features Autonomy & Ambiguity - discover, design, and build without micromanagement. Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to More ❯