1 to 25 of 82 GCP Jobs in the Thames Valley

GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We're seeking a skilled … GCP DevOps Engineer to architect and maintain cloud-native infrastructure that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP). Implement ...

leadership role.. Proven experience designing and delivering cloud-native applications on a large scale. Deep expertise in cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation). Strong experience with technologies such as Messaging systems, managed databases, container orchestrators, or similar. Solid understanding ...

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 containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control ...

guardrails into pipelines and Terraform modules. Key Skills and Experience: Proven experience operating production systems on a major cloud (AWS/Azure/GCP) with solid cloud fundamentals (networking, IAM, storage, compute, HA/DR). Hands‐on IaC with Terraform (modules, state, CI validation, policy checks). Strong ...

Familiarity with CI/CD, automated testing, and version control Passion for data, analytics, and AI-driven problem solving Nice to Have: Cloud (AWS, GCP, Azure), Kafka/gRPC, React, Infrastructure as Code, ML/data processing experience Why Join? Work on greenfield data and AI initiatives Build scalable systems ...

Strong proficiency in Java, spring boot Solid understanding of Docker Compose, Kubernetes, and Amazon EC2. Expertise in at least one major cloud platform (AWS, GCP, or Azure). Proven experience in media or OTT streaming solutions is a strong plus. Strong knowledge of microservices, RESTful APIs, and event-driven architectures. ...

frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/Langfuse, Gen AI/Agentic AI, Cloud platforms (Azure AI Foundry, AWS Sagemaker/Bedrock, GCP Vertex AI), MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Preferred Delivered AI projects within Agile frameworks Experience on Model Feedback Analysis, topic modelling ...

econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability ...

Python, Bash, YAML). Familiarity with security and DevOps tools (Jenkins, Docker, Kubernetes, security scanning tools). Strong understanding of cloud platforms (AWS, Azure, GCP) and their security features, especially SaaS integrations. Experience with CI/CD pipelines and secure software delivery. Knowledge of regulatory frameworks such as NIST ...

improve reliability, and streamline delivery workflows. Tech Stack & Tools DevOps & Platform: Kubernetes, Docker, Terraform, Argo CD, CI/CD pipelines Cloud & Infrastructure: AWS, Azure, GCP (cloud-agnostic mindset) Compute & Storage: GPU-enabled infrastructure, high-performance storage systems, high-speed networking Observability: Monitoring, logging, and alerting tools across distributed systems What ...

Tech You'll Use Backend: Python, PostgreSQL, BigQuery, MySQL Frontend: TypeScript, React, styled-components Testing: Jest, React Testing Library, Cypress, pytest Cloud & Infra: AWS, GCP, ECS Fargate, Terraform, Docker CI/CD: GitHub Actions, automated pipelines No one is expected to know everything — what matters is strong engineering fundamentals ...

products and platforms working in alignment with our AI development teams Technical Environment: * Cloud Platforms: Multi-cloud environment (Microsoft Azure, AWS and GCP) * Languages: C#, Go, JavaScript * Development Practices: AI and Agile methodologies, CI/CD, Infrastructure as Code * Quality Assurance: Mix of in-house and outsourced QA resources * Operations ...

products and platforms working in alignment with our AI development teams Technical Environment: Cloud Platforms: Multi-cloud environment (Microsoft Azure, AWS and GCP) Languages: C#, Go, JavaScript Development Practices: AI and Agile methodologies, CI/CD, Infrastructure as Code Quality Assurance: Mix of in-house and outsourced QA resources Operations ...

critically. Data Engineering: Experience building ETL pipelines and working with streaming technologies such as Kafka is beneficial. Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack tooling. Communication: Ability to explain technical findings to traders and business stakeholders. Comfortable working in a fast-paced, collaborative environment ...

statistics Knowledge of probabilistic and Bayesian modelling Solid software-engineering principles and experience with an OO language Familiarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such as Terraform ...

deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp ...

e.g., Docker) and CI/CD systems. Understanding of networking concepts (TCP/IP, serial interfaces, device communication). Experience with cloud platforms (AWS, GCP, Azure). Familiarity with embedded systems, device provisioning, or firmware interactions. Experience with performance tuning in Linux or systems-level optimization. The company offer ...

e.g., Docker) and CI/CD systems. Understanding of networking concepts (TCP/IP, serial interfaces, device communication). Experience with cloud platforms (AWS, GCP, Azure). Familiarity with embedded systems, device provisioning, or firmware interactions. Experience with performance tuning in Linux or systems-level optimization. The company offer ...

/CSSA preferred) • Experience building and integrating RESTful APIs • Strong database experience: SQL/NoSQL (PostgreSQL, Oracle) • Cloud experience: AWS/Azure/GCP • Containerization: Docker & Kubernetes Looking forward to seeing your applications ...

delivery. Responding to incidents and driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security ...

Confident SQL across TSQL, ANSI SQL, Spark SQL. Real experience with cloud data services (Azure Data Factory, Databricks, Synapse, or equivalents on AWS/GCP). Ability to dive deep into datasets, understand structure, and communicate insights clearly. Experience working with structured and unstructured data at scale. Bonus points ...

frameworks like PyTorch, TensorFlow, or scikit-learn in applied settings Proven background in deploying ML systems on cloud platforms such as AWS, Azure, or GCP Familiar with containerisation and orchestration tools such as Docker and Kubernetes Experienced in working across ambiguous or high-risk environments, with the ability to structure ...

libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). Understanding of software engineering principles and version control (Git). Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus. Excellent problem-solving abilities with a passion for turning data into insight. Strong communication skills and a collaborative mindset. What ...

/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving ...

level expertise Background in Analytics, Engineering, Data Science, or Consulting Skilled in tools like Python, SQL, Spark, Power BI, and cloud platforms (AWS, Azure, GCP) Strong problem-solving and communication skills Comfortable in client-facing environments Active SC or DV Clearance is a must ...