176 to 200 of 756 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 ...

About the Role Grade Level (for internal use): 14 The Team The Enterprise Solutions Technology division includes workflow solutions across Lending, Reg & Compliance, Global Markets and Software business. Enterprise Solutions provides industry‐leading set of integrated tools, solutions and data services that help our clients make efficient investment decisions, operate ...

invited oral) and DAI 2025, with work adopted by top global universities and companies The Role You own the agent layer. Every AI workflow that runs on DeepFlow - the scaffolding, the prompts, the tool integrations, the evaluation pipeline - is your responsibility. Your decisions about agent architecture, provider selection, and quality ...

cross-functionally with operations teams. Exposure to reconciliation, accounting, or control-focused workflows Experience building systems in regulated or audit-sensitive contexts Familiarity with workflow orchestration tools Experience productising internal automation into scalable applications, including operational dashboards or internal tools (e.g., TypeScript, React, Next.js or similar) This is an interesting ...

data, and ML teams – Translate product and data requirements into secure, scalable platform designs; provision tooling and environments for ML experimentation, data pipelines, and workflow orchestration Provision and secure LLM and agentic AI infrastructure – Deploy and manage generative AI toolkits, model serving endpoints and data governance for AI workloads Drive ...

regression testing. Knowledge, Skills and Abilities: Experience of working on Air Cargo management systems and expert level knowledge in the domain the Air Cargo workflow (sales or operations) Knowledge of industry inter-system message formats, rules and applications Excellent written and oral communications skills in English Knowledge of relational ...

coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. We’re looking for engineers who have integrated these tools into their professional workflow, not just experimented casually • Spec‐driven development — ability to write clear technical specifications that can be used to drive both human and AI‐assisted implementation ...

system at The Royal Marsden, specifically working in the Beaker (labs) team directly supporting our Molecular Diagnostic/Genomics laboratories to deliver some major workflow improvement projects. We are seeking an experienced and passionate individual who is ideally certified or accredited in at least one Epic application, preferably with experience ...

division of IMG Studios who are specialists in bespoke live video networking and production solutions. Cingularity operate at each stage of the remote production workflow, delivering quality network designs and primary distribution services to premium broadcast networks and sports rights holders globally. Please follow this link to understand more about ...

executive leadership building partner engineering teams within enterprise software ecosystems Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures. Experience launching production‐hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes. Ability to translate platform ...

internal processes and improve productivity. Build intelligent assistants, automation scripts, and integrations across business systems. Create reusable automation frameworks and components to accelerate development. Workflow & Operational Efficiency Analyse existing business processes and identify opportunities for automation and optimisation. Implement workflow automation solutions that reduce manual effort and improve operational efficiency. … experience integrating OpenAI or similar AI technologies into business workflows. Experience working with Microsoft Copilot Enterprise or similar enterprise AI tools. Strong understanding of workflow automation, APIs, and system integrations. Knowledge of IT security principles, identity management, and data protection. Experience implementing governance frameworks and best practices for AI systems. ...

incidents, conducting root cause analysis, managing SLAs, and improving resiliency across business-critical data feeds. Requirements: SQL Python/Bash ETL/ELT support Workflow orchestration (Airflow or Dagster) AWS data services (Athena, S3, MWAA, Iceberg) Data quality monitoring & incident management Nice to Have: Airbyte DBT Apache Spark Grafana ...