1 to 25 of 244 Workflow Jobs in London

formats. Familiarity with Azure AI Services, including Azure ML, Azure OpenAI, and Cognitive Services. Experience using Git and Azure DevOps for source control and workflow automation. Strong analytical, debugging, and problem-solving abilities with attention to detail. Desirable Exposure to Power BI, Dataverse, or data mesh concepts. Experience with

Infrastructure as Code. Exposure to Datadog for Database Monitoring. About Us We’re a diverse group of visionary innovators who provide trading and workflow automation software, high-value analytics, and strategic consulting to corporations, central banks, financial institutions, and governments. Founded in 1999, we’ve achieved tremendous growth by bringing

data pipelines and transformation workflows using Databricks and Python. Ensure data platforms support analytics, business intelligence, and emerging GenAI/ML needs. Pipeline Development & Workflow Management Develop, optimise, and monitor ETL/ELT pipelines across various data sources. Implement data validation, governance, quality assurance, and security best practices. Maintain

build both Canvas and Model-Driven Power Apps. Configure and customise Dynamics 365, SharePoint Online, and Power Pages, including the use of plugins, custom workflow assemblies, JavaScript, and extended Azure/Office 365 capabilities. Work with Microsoft Power BI to support reporting and data visualisation requirements. Maintain an awareness

Exposure to data governance, compliance, and security best practices. Knowledge of Python Programming Knowledge and willingness to learn and use Kestra, and orchestration and workflow automation platform.

Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate the people around you. The Opportunity Shape the data backbone of a next-generation AI platform.

orchestration frameworks, and shared infrastructure that accelerates research and experimentation. Collaborate closely with researchers to create efficient, reliable, and standardized environments for innovation. Tooling & Workflow Automation Design and deliver internal tools used directly by traders and researchers on discretionary desks. Projects may involve streamlining workflows, improving data accessibility, and supporting

internal data capabilities as the volume and complexity of our data and ML models grow and business needs evolve. Major Responsibilities Support the entire workflow of the ER data model: data pipeline development, ELT performance, timely loading of data sets, and maintenance of data models via the use of monitoring

Cloud, Databricks) are a strong plus Technical Skills: • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL) • Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow) • Experience with programming languages such as Python, Java, or Scala. Python is highly preferred • Basic understanding of cloud platforms

production Automation Architecture Deep knowledge of automation tools including GitHub Actions, Terraform, and Ansible Experience with business process automation (RPA) tools like Appian Workflow orchestration experience (Airflow, Prefect) Ability to build custom automation frameworks using Python or similar languages Full-Stack Development Solid software engineering background with proficiency in Python

requirements to drive digital and AI-empowered HR platforms deployment Knowledge and experience in implementing Oracle HCM Cloud as well as HR Ticketing/Workflow Management Tools (e.g. ServiceNow HRSD, Salesforce). Managing vendor relationships and technology selection processes. In-depth knowledge and ability to design and optimize HR Operating

protocols, SWIFT messaging, or regulatory reporting frameworks. Experience with cloud platforms (AWS, GCP, Azure). Familiarity with data pipelines, scheduling tools, or workflow orchestration.

data pipelines and optimizing large-scale workloads on the Databricks Data Intelligence Platform. The ideal candidate is strong in PySpark, Delta Lake, Azure services, workflow automation, and performance tuning. Key Responsibilities Build and maintain scalable batch and streaming pipelines using Databricks notebooks, Jobs, and Workflows. Optimize Spark and Delta Lake

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

experimenting with frameworks such as Hugging Face or LangChain is highly desirable. AI literacy and an interest in using AI tools to improve workflow and product outcomes. Degree in Computer Science (or similar) from a good University highly desirable. Nice to Have: Familiarity with message brokers (Kafka, SQS/

systems. Strong command of modern IT Service Management (ITSM) and operational excellence frameworks that blend automation, human support, and security. Experience in AI-driven workflow transformation and adoption of next-generation productivity and collaboration tools. Demonstrated ability to lead complex, geographically dispersed teams through change in challenging, high-pressure environments

between business users and technologists. Lead discovery workshops, conduct detailed process mapping, and perform gap analysis to understand workflows, pain points, and opportunities for workflow optimization. Requirements Definition & Documentation: Translate business needs into clear, concise, and actionable requirements. Develop and own key project artifacts, including Business Requirements Documents (BRDs), Functional

SaaS forensics, including collection and analysis of collaboration and audit artefacts. Competence with scripting or automation languages (e.g. PowerShell, Python, SQL) for forensic workflow optimisation. Exposure to AI and machine learning applications in forensic and eDiscovery contexts (e.g. triage, clustering, anomaly detection, generative summarisation). Experience integrating forensic outputs within

payment flows interact with product behaviour. Prior exposure to compliance, risk, audit, policy, or regulatory projects. Familiarity with dbt, Airflow, or other data-workflow tools. What you'll get for your hard work This is a level 3 position. Cleo has 5 internal levels of competency within Product Analytics.

within an AWS environment. Day to day, you'll: Oversee end-to-end data operations, ensuring all loads complete successfully and identifying and resolving workflow issues within Airflow Manage and triage incident tickets, investigating discrepancies and implementing fixes to maintain data accuracy and performance Drive automation initiatives, helping to reduce

external sources, ensuring data quality, governance, and integrity.* Implement efficient data models and schemas within Snowflake, and use DBT for transformation, orchestration, and workflow management.* Optimise ELT/ETL processes for improved performance, cost efficiency, and scalability.* Troubleshoot and resolve data pipeline issues swiftly and effectively across the data platform.

suited to someone who's confident communicating with data, product, and engineering teams, not a 'heads-down coder' type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics

efficiency and control improvement Assist with project management, including planning, execution, and rollout of new initiatives such as system upgrades, new functionalities and workflow enhancements Participate in initial discussions and requirement gathering to ensure operational readiness and prepare necessary documentation for project meetings Create testing scripts and scenario test cases

years' work experience within IT Systems administration in any sector Proficiency in Okta and Google Workspace administration Experience with Okta Workflows for workflow automation Expertise in MacOS and Windows device support & management - 2nd/3rd line level support essential Familiarity with MDM solutions for Windows and macOS Proficiency in network

implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market