8 of 8 Permanent Workflow Jobs in Crawley

Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labelling. Ensure robust, reproducible data loops to power iterative development. AI Workflow Design & Orchestration Orchestrate multiple models to deliver SOTA results. Partner with Production team, Software Engineers to bring AI solutions into real-world products. Architect ...

will play a key technical leadership role in defining and implementing the interoperability architecture that connects our treatment delivery system to the clinical workflow, working closely with partners, clinical customers, and internal cross-functional teams. The position requires flexibility in daily tasks with attention to detail and a self-motivated ...

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 ...

academic projects.* Experience with PyTorch, JAX, TensorFlow or a similar framework.* Familiarity with core agentic AI concepts such as tool calling, planning, memory and workflow orchestration.* An understanding of reinforcement learning, preference optimisation or sequential decision-making.* Some experience evaluating models or implementing ideas from machine-learning research. **Desirable*** Familiarity ...