176 to 200 of 1,109 GCP Jobs in the UK

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

NoSQL/distributed databases, such as MongoDB. Proven delivery of streaming pipelines and real-time data processing solutions. Cloud experience with AWS, Azure, or GCP (open to any). Skilled with containerisation technologies: Docker and Kubernetes. Experience implementing and maintaining CI/CD pipelines and modern DevOps practices. What ...

modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down complex ...

modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down complex ...

Apache Spark, Flink). Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control ...

/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using ...

model behaviour, limitations, evaluation techniques, and real-world deployment challenges. Cloud-Native & Platform Skills Proven experience designing and deploying distributed systems on AWS, GCP, or Azure . Hands-on expertise with Docker, Kubernetes , and modern CI/CD pipelines. Comfortable working in regulated or high-compliance environments. Strong Engineering Mindset ...

such as Maven or Gradle Nice to have Experience with React, JavaScript, HTML and CSS Familiarity with cloud platforms such as AWS, Azure or GCP Knowledge of CI/CD tools such as Jenkins or GitHub Actions Experience with microservices and database technologies like PostgreSQL or MySQL This ...

/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online ...

Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput ...

Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput ...

/ML integration within enterprise architectures Deep knowledge of data modelling, distributed systems, and micro-services Experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes) Solid understanding of data governance, security, and regulatory compliance Excellent communication and stakeholder management skills Modis International Ltd acts as an employment agency ...

/ML integration within enterprise architectures Deep knowledge of data modelling, distributed systems, and micro-services Experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes) Solid understanding of data governance, security, and regulatory compliance Excellent communication and stakeholder management skills Modis International Ltd acts as an employment agency ...

pipelines, ML workflows, and analytics platforms. Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps ...

/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Excellent understanding of data governance, security, and compliance in regulated environments. Strong communication and stakeholder management skills. ...

/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Excellent understanding of data governance, security, and compliance in regulated environments. Strong communication and stakeholder management skills. ...