276 to 300 of 2,165 GCP Jobs in London

industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning ...

engineering fundamentals: cloud, reliability, security, monitoring, CI/CD Technical environment (Not hands-on coding daily, but technically credible) Cloud: AWS/Azure/GCP AI/ML delivery: model deployment, MLOps/LLMOps, monitoring, iteration Platform foundations: Kubernetes (EKS/AKS), CI/CD, GitOps concepts Observability: metrics, logs ...

engineering culture also values curiosity, humility, trust, ownership and team spirit. Our technical stack is C# on .NET Core Linux, React, TypeScript, PostgreSQL, Google Cloud Platform, Docker, Kubernetes, Terraform, RabbitMQ and Circle CI.Explore Our Tech Blog: If you're curious about the kind of challenges our engineering team tackles ...

automate workflows. Strong IAM fundamentals: least privilege, cross‐account roles, permission boundaries, federated identity, and privileged access management. Comfortable working across Azure/GCP in addition to AWS - multi‐cloud exposure is a plus. In‐depth knowledge of information security principles and cybersecurity frameworks relevant to cloud environments: MITRE ...

Experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, TeamCity, Spacelift or similar tools)Experience with cloud platforms (AWS preferred; Azure or GCP also valuable)Hands-on experience with Infrastructure as Code, particularly TerraformStrong experience with observability practices (logging, monitoring, alerting)Familiarity with tools such as New Relic ...

collaboration. Essential Demonstrated vulnerability management experience in a role such as vulnerability analyst, specialist, or engineer. Strong technical knowledge of cloud platforms (aws, gcp) and cloud-native security architecture. Experience with kubernetes and container security principles. Security knowledge in AWS/GCP. Basic scripting skill for automation purposes (Python ...

certification systems. While the primary focus of this role involves support of bare‐metal on‐premises infrastructure, experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is desirable. Incident Response & Technical Troubleshooting: Serve as a technical responder for production incidents occurring during US GTH market ...

insurance, telecom, public sector, manufacturing, retail). Technical Expertise Extensive experience with Microsoft Fabric core featuresProficiency in cloud ecosystems (Specifically Azure, optionally AWS and GCP are an advantage) and infrastructure-as-code (e.g., Terraform).Strong background in databases, data warehouses, and distributed processing frameworks. Familiarity with BI and data exploration ...

Senior Python Developer - PYTHON/REACT/AZURE/GCP - i s required by fast growing and highly successful international organisation. They are seeking an experienced Senior Python Developer to help evolve and extend their platform while guiding technical direction and supporting team development. This role centres on solving real ...

Senior Python Developer - PYTHON/REACT/AZURE/GCP - i s required by fast growing and highly successful international organisation. They are seeking an experienced Senior Python Developer to help evolve and extend their platform while guiding technical direction and supporting team development. This role centres on solving real ...

modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes ...

trivial pieces of work and delivering them. Desirable Experience with micro services. Some experience with performance, accessibility or security testing. Cloud platform experience (AWS, GCP, Azure). Prior experience mentoring junior engineers or interns. Experience with Infrastructure as Code (IaC) and configuration management tools such as Terraform, CloudFormation, or Ansible ...

Model Context Protocol (MCP) and agent communication standards Experience with vector databases, RAG architectures, and semantic search systems Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services Experience in SaaS or enterprise software companies Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining ...

distribution requirements. Preferred: Knowledge of the index business preferred. Experience with agentic solution incorporation Handson experience with cloud-based data platforms and distribution, preferably GCP Familiarity with authentication, SFTP security, RESTful API design. Experience providing functional leadership, mentoring, or coaching within a product or delivery organisation. Personal Attributes Ability ...

token management, latency, and cost tradeoffs Basic understanding of web technologies including JavaScript, HTML, and CSS Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases SQL or NoSQL Ability tovalidate, evaluate, and improve AI-generated outputs ...

engineering culture also values curiosity, humility, trust, ownership and team spirit. Our technical stack is C# on .NET Core Linux, React, TypeScript, PostgreSQL, Google Cloud Platform, Docker, Kubernetes, Terraform, RabbitMQ and Circle CI.Explore Our Tech Blog: If you're curious about the kind of challenges our engineering team tackles ...

Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/ ...

delivery and adoption. Advanced SQL skills with experience querying large datasets accurately and efficiently. Experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS. Experience building dashboards, reporting products and self-serve insight tools. Strong understanding of data modelling, ETL/ELT processes and data quality. Working ...

towards identifying areas for improvement or re-imagination through technology. Technical Acumen: Strong grasp of modern technology stacks, cloud platforms (e.g., Azure, AWS, GCP), APIs, data structures, and the software development lifecycle. Working knowledge of public cloud technologies and basic DevOps principles. Solution-Oriented Problem Solving: Ability to break down ...

ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake) and their integration with Databricks. Experience with data ingestion, transformation, and quality control processes. Excellent problem-solving skills and the ability to think critically under pressure. ...

autonomous workflows Machine Learning — model development, training, evaluation, and deployment APIs & backend development — FastAPI, REST APIs, microservices architecture Vector databases & embeddings Cloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scale Version control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in production Data ...

skills using debuggers, logs, etc. Strong understanding of test-driven development using Jest, Cypress, Java script, Junit, Mockito. Experience with Public clouds like AWS, GCP will be added advantage. Experience with OpenShift, Docker and Kubernetes. Understanding of build and deployment tools like, Jenkin. Teckton, UDeploy, Harness, NPM, Maven, Gradle. Implement ...

Experience with Apache Flink and Apache Beam · Experience with Kafka · Familiarity with Apache Camel · Experience with NoSQL databases (Cassandra, DynamoDB) and Redis · Cloud experience (GCP or AWS) · Docker and Kubernetes · ML model serving or feature stores · A/B testing platforms · Terraform or infrastructure as code · Performance and scalability optimisation ...

autonomous workflows Machine Learning — model development, training, evaluation, and deployment APIs & backend development — FastAPI, REST APIs, microservices architecture Vector databases & embeddings Cloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scale Version control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in production Data ...

Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/ ...