226 to 250 of 2,162 GCP Jobs in London

analytical environments for credit risk. Able to design scalable solution architecture for credit risk platforms. DesirableExperience designing architectures involving Azure Data Lake, Databricks, AWS, GCP or similar modern data platforms. Relevant cloud certifications (e.g. Azure Solutions Architect Expert).Experience working within regulated industries (finance or other data-sensitive environments).Knowledge ...

frameworks and integration design·Using Python and SQL to build robust, scalable AI and data solutions·Working with cloud platforms such as AWS, Azure, GCP or Databricks·Supporting MLOps, LLMOps, CI/CD and software engineering best practice·Collaborating with technical and non-technical stakeholders across complex programmes·Helping identify ...

Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP). Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon). Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop ...

part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working ...

technical stakeholders. Nice to haves: Experience securing API access and implementing access control mechanisms at the application level. Multi‐cloud infrastructure experience – AWS, Azure, GCP, and more. Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET. Mentorship/leadership experience supporting junior ...

scaling teams Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large-scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines ...

software development lifecycle. Experience with Spring Boot, Spring Framework and microservices architecture. Exposure to Node.js, TypeScript, Express.js or Nunjucks. Experience with AWS, Azure or GCP, Docker, Kubernetes and DevOps practices. Experience with Terraform and CI/CD tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality digital ...

frameworks)Experience with agent frameworks (LangChain, LangGraph, AutoGen, or similar)Solid understanding of APIs, backend services, and microservices architecturesExperience working with cloud platforms (AWS, GCP, or Azure) and containerised systems (Docker, Kubernetes)Familiarity with event-driven or serverless architecturesExperience with CI/CD pipelines, testing, and infrastructure as codeComfortable debugging ...

growth of engineers around you through technical mentorship and coachingMinimum qualificationsDeep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning ...

Iceberg for efficient, reliable table management and data lake optimization Experience architecting and implementing enterprise-scale data warehouses on cloud platforms (e.g., AWS, Azure, GCP), including migration from legacy systems Advanced proficiency in designing and optimizing data models for analytics, reporting, and business intelligence use cases Demonstrated ability to automate ...

data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem‐solving skills and ability to work independently ...

data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).Experience managing data science teams and coaching team members. Problem-solving skills and ability to work independently and as a leader ...

data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving skills and ability to work independently ...

Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools ...

.NET), and databases (SQL, NoSQL, vector databases, ETL)Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CDStrong focus on automated testing, logging, monitoring, and overall system reliabilityExperience working in Agile teams, including active participation in sprint ...

architectures (e.g., Kafka, Apache Storm, CouchbaseDB/NoSQL, Spring). Familiarity with modern infrastructure paradigms, such as containerization (OpenShift/Kubernetes) and cloud platforms (GCP/AWS) is highly advantageous. Understanding of AI, machine learning, or advanced quantitative analytics applications in financial systems is a strong plus. Outstanding Communication ...

NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools ...

TypeScript), and know how to build robust, production-grade systems. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications. You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes. ...

advantageous: Vertex AI Large Language Models (LLMs) Agentic AI Docker CI/CD Infrastructure as Code Microservices Event-driven architecture AWS Google Cloud Platform (GCP) You don't need to have experience with every technology listed, but a strong interest in modern AI engineering and cloud-native development would … highly beneficial. Technology Stack The current technology environment includes: React TypeScript Node.js AWS Google Cloud Platform (GCP) Vertex AI REST APIs Large Language Models (LLMs) Agentic AI Git CI/CD The Person We're looking for someone who is: Entrepreneurial and genuinely excited by startup environments. Comfortable working with ...

with ML, backend, and product What We’re Looking For 4+ years in platform/DevOps/infra Strong Kubernetes, Docker, cloud (AWS/GCP/Azure) GPU workloads/ML infra Experience designing & operating multi-tenant architectures with strict tenant isolation Familiarity with autoscaling & service isolation Experience with ...

Nice to have: GitOps tooling such as Argo CD or Flux, progressive delivery, service mesh technologies, multi-cluster or multi-region Kubernetes at scale, GCP compute and networking, cloud cost optimization or FinOps, multi-organization infrastructure unification, open-source infrastructure or platform engineering contributions, especially in the CNCF ecosystem. Условия ...

expectations; ability to coach managers/leads and influence leaders on safe scaling patterns Preferred qualifications, capabilities, and skills Experience with cloud native infrastructure (GCP/AWS) and Infrastructure as Code tools such as Terraform or Crossplane Experience working in FinTech or highly regulated environments Previous experience in platform engineering ...

shift security left across the full delivery lifecycle. Responsibilities: Design and implement cloud security architectures onAWS (primary), with exposure to Azure and/or GCP being advantageous Build and maintain secure infrastructure usingInfrastructure as Code (Terraform), including reusable, security-hardened modules and reference patterns Integrate security tooling and automated controls ...

Kubernetes and related tooling. Deep understanding of cloud-native and traditional networking architectures. Proven experience designing and operating scalable, secure and resilient networks in GCP or AWS. Strong understanding of networking fundamentals (TCP/IP, BGP, routing, DNS, NAT, Firewalls, IPAM, Load Balancers, VPN). Extensive experience writing and maintaining ...

Kubernetes and related tooling. Deep understanding of cloud‐native and traditional networking architectures. Proven experience designing and operating scalable, secure and resilient networks in GCP or AWS. Strong understanding of networking fundamentals (TCP/IP, BGP, routing, DNS, NAT, Firewalls, IPAM, Load Balancers, VPN). Extensive experience writing and maintaining ...