1 to 25 of 121 GCP Jobs in the East of England

Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

happy to work in a Golang-first environment Scalable systems: experience with microservices, event-driven architecture, and high-throughput APIs Cloud-native: AWS or GCP experience, containerisation, orchestration, and horizontal scaling Product-focused mindset: enjoys building systems that directly improve user experience and business outcomes Collaboration: Agile, TDD, CI/ ...

happy to work in a Golang-first environment Scalable systems: experience with microservices, event-driven architecture, and high-throughput APIs Cloud-native: AWS or GCP experience, containerisation, orchestration, and horizontal scaling Product-focused mindset: enjoys building systems that directly improve user experience and business outcomes Collaboration: Agile, TDD, CI/ ...

happy to work in a Golang-first environment Scalable systems: experience with microservices, event-driven architecture, and high-throughput APIs Cloud-native: AWS or GCP experience, containerisation, orchestration, and horizontal scaling Product-focused mindset: enjoys building systems that directly improve user experience and business outcomes Collaboration: Agile, TDD, CI/ ...

happy to work in a Golang-first environment Scalable systems: experience with microservices, event-driven architecture, and high-throughput APIs Cloud-native: AWS or GCP experience, containerisation, orchestration, and horizontal scaling Product-focused mindset: enjoys building systems that directly improve user experience and business outcomes Collaboration: Agile, TDD, CI/ ...

happy to work in a Golang-first environment Scalable systems: experience with microservices, event-driven architecture, and high-throughput APIs Cloud-native: AWS or GCP experience, containerisation, orchestration, and horizontal scaling Product-focused mindset: enjoys building systems that directly improve user experience and business outcomes Collaboration: Agile, TDD, CI/ ...

mentor more junior team members internally. The successful candidate will: Architect and manage platforms for our public and private sector clients on Google Cloud Platform, AWS and Azure when needed Be familiar with Gitops practices and workflows Build CI/CD pipelines, automation (Ansible, Terraform), and containerised solutions Collaborate with ...

mentor more junior team members internally. The successful candidate will: Architect and manage platforms for our public and private sector clients on Google Cloud Platform, AWS and Azure when needed Be familiar with Gitops practices and workflows Build CI/CD pipelines, automation (Ansible, Terraform), and containerised solutions Collaborate with ...

mentor more junior team members internally. The successful candidate will: Architect and manage platforms for our public and private sector clients on Google Cloud Platform, AWS and Azure when needed Be familiar with Gitops practices and workflows Build CI/CD pipelines, automation (Ansible, Terraform), and containerised solutions Collaborate with ...

mentor more junior team members internally. The successful candidate will: Architect and manage platforms for our public and private sector clients on Google Cloud Platform, AWS and Azure when needed Be familiar with Gitops practices and workflows Build CI/CD pipelines, automation (Ansible, Terraform), and containerised solutions Collaborate with ...

architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them) IaC literacy (ideally Terraform) Software Architecture Microservices, monoliths ...

architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them) IaC literacy (ideally Terraform) Software Architecture Microservices, monoliths ...

architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them) IaC literacy (ideally Terraform) Software Architecture Microservices, monoliths ...