9 of 9 Workflow Jobs in Cambridgeshire

using AWS CDK. Experience with system design, performance optimization, observability, and operational excellence during parallel LLM streams. Strong intuition for UX design and a demonstrated commitment to building delightful, workflow-first products. Excellent communication skills and collaborative mindset, especially in fast-moving, cross-functional environments. Preferred Qualifications Background in scientific domains such as biology, chemistry, or complex systems is a More ❯

management. You will provide expert technical guidance on the Epic system's capabilities, working closely with Trust staff to enhance system efficiency, patient flow and experience. You will conduct workflow analysis, manage complex system configurations, and troubleshoot issues, ensuring successful integration with other departments and providing ongoing support for testing, upgrades and issue resolution. In collaboration with clinical and operational More ❯

Responsible for testing software applications or systems software Develops and executes test plans and scripts designed to detect problems Ensures the quality and success of various computing technologies Performs workflow analysis, documents test results, and recommends quality improvements Works with Applications Development/Systems Software Engineers to resolve software defects and diagnose/improve product configuration for current and future More ❯

requirements to our platform's offerings (e.g., Knowledge Hubs, Conversational AI, Real-time Insights, and Agentic Automation). Create detailed architecture documents, data flow diagrams, and technical specifications. MCP Workflow & Ontology Design: Architect the core intelligence for client solutions. This includes designing client-specific ontologies and defining the structure, logic, and composition of Model Context Protocols (MCPs) to automate complex More ❯

Developing and maintaining continuous integration and continuous deployment pipelines to allow for safe and quick code deployment. Utilising Kubernetes, including cluster provisioning, operations, workload optimization, custom controllers/operators, workflow orchestration, logging monitoring, security, and troubleshooting. Automating infrastructure provisioning, configuration, and deployment processes using tools such as Terraform The other stuff we are looking for Implements security practices as directed More ❯

and communication skills Experience with agile delivery and cross-functional teams A user-centric mindset with a focus on measurable outcomes Desirable: Experience with legal tech platforms (PMS, DMS, workflow automation) Knowledge of Microsoft Fabric, BI tools, and data analytics Familiarity with microservices, API management, and platform engineering Relevant certifications (e.g. TOGAF, Azure Solutions Architect) Benefits include: 25-30 days More ❯

years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization Track record of building and deploying ML models at scale Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks More ❯

CNC programmes for milling operations using CAD/CAM software Set and operate CNC machinery, ensuring safety and quality standards are met Manage tooling and materials to maintain efficient workflow Troubleshoot machine and programming issues during production Collaborate with colleagues to improve processes and drive productivity Experience Required: Proven experience in CNC milling - programming, setting, and operating Familiarity with Fanuc More ❯

and be part of making history. The Amazon SageMaker Pipelines team is seeking highly skilled and innovative Software Development Engineer to join our organization. SageMaker Pipelines provides a serverless workflow orchestration capability purpose-built for MLOps/LLMOps automation. This capability enables our customers to easily build, execute, and monitor repeatable end-to-end machine learning workflows through an intuitive … this role, you will be responsible for building and maintaining capabilities within our best-in-class machine learning offering, as well as scaling those systems to support our customers' workflow orchestration automation needs. Engineers on the Amazon SageMaker Pipelines team are expected to consistently experiment with new technologies and ideas in order to drive innovation and ensure SageMaker remains a More ❯