11 of 11 Workflow Jobs in West London

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 ...

Software Engineer, GraphRAG, TypeScript, AWS, Remote, CO7428A A pre-seed start-up building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight, requires an AI Software Engineer/Knowledge Graph Specialist. The AI Software Engineer will be contracted initially for a month as they ...

Reports to: Technology Director/Executive Sponsor Location: Remote with occasional travel to London (2 times a month- paid for) Contract: Full-time, permanent Base Salary: £70,000 £80,000 location and experience dependent + ...

automated, robust data cleaning pipelines that follow software best-practices (in Python) Implementing integrations between the core algorithm (machine-learning or optimization) and a workflow orchestration paradigm such as Dagster Implementing software in a cloud-based deployment pipeline with Continuous Integration/Continuous Deployment (CI/CD) principles Building logging … experiment tracking (e.g. MLflow) Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker, ECS) nice to have Experience in code testing (unit, integration, end-to-end tests) Strong ...

Temporary Administrative Assistant (Tech Industry) Are you ready to dive into the exciting world of tech? Our client, a dynamic organisation in the technology sector, is seeking a detail-oriented Administrative Assistant to join their ...