1 to 25 of 125 GCP Jobs in Central London

UKI.recruitment@tcs.com or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Job Title: GCP DevOps Engineer Job Type: Permanent Location: Manchaster/London Hours: 40 hours per week – Full time Ready to apply your data engineering expertise to build … reliable and scalable pipelines for enterprise platforms? We have an exciting opportunity for you — GCP DevOps Engineer. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful ...

GCP Architect London (Hybrid - 2-4 days onsite per month) £80,000-£90,000 + Benefits SC Clearance Eligibility Required We're working with a leading digital transformation consultancy delivering large-scale cloud, platform and AI programmes across enterprise and public sector clients. They're looking for a GCP Architect … proposals, technical discovery sessions and solution design workshops Tech Environment You'll work across a modern Google Cloud ecosystem including: Google Cloud Platform (GCP) Kubernetes/GKE Terraform Java and/or Python Cloud Run & Cloud Functions BigQuery, Cloud SQL & Spanner Vertex AI and AI-enabled services CI/ ...

hands‐on expertise across: Modern data stack & DataOps (Snowflake, Databricks). Platform architecture & engineering (ETL/ELT, modelling, warehousing). Cloud platforms (AWS, Azure, GCP). Programming (SQL essential, Python, Spark, Java/Scala). Data governance & security (including GDPR). Advanced analytics & AI/ML. Experience building and scaling ...

frameworks (LangChain, LlamaIndex) and vector databases Hands-on with distributed computing (Spark, Databricks) and microservices architecture Cloud experience with Azure (preferred), AWS, or GCP and lakehouse platforms Familiarity with DevOps tools (Git, CI/CD, Terraform) and Docker/Kubernetes Financial domain expertise in banking, capital markets, or fintech environments ...

responsible for opening and growing strategic enterprise accounts with a consultative approach focused on outcomes and business transformation. This includes: Core Google Cloud Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics … base salary Uncapped commission with significant earning potential Senior leadership influence on go-to-market strategy Opportunity to shape and expand Searce’s European GCP footprint Work with one of the largest Google Cloud partners globally, with deep engineering capabilities and a strong global client base This role is focused ...

years of experience working with SQL databases Strong experience in API development and automation Familiarity with cloud platforms such as AWS, Azure, or GCP Experience working in Agile environments Hands-on experience with CI/CD pipelines and version control systems Experience with Python is a plus Qualifications & Experience: Bachelor ...

automated/offline evaluation, safety/guardrails, telemetry, versioning and CI/CD for ML. Cloud engineering: Azure (preferred) and/or AWS/GCP; Kubernetes/Docker; serverless (Azure Functions/Lambda); secure networking/IAM. Data engineering: Spark/Databricks, ETL/ELT pipelines; integration with client data ...

Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure, AWS, and GCP Lead MLOps strategy (MLflow, Kubeflow, SageMaker, Vertex AI) and CI/CD pipelines Ensure scalable deployments using Kubernetes, Docker, and Infrastructure-as-Code Enterprise Integration ...

working with distributed systems, managing complex data flows, integrations, and service-to-service communication. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP acceptable), including compute, serverless, messaging, storage, and identity/access management. Familiarity with containerisation (Docker, Kubernetes) and modern deployment patterns, including microservices and serverless architectures. ...

Negotiable + Benefits We are seeking an AI Engineer to design, build, and deploy Generative AI and AI‐driven applications using Google Cloud Platform (GCP) and leading Large Language Models (LLMs) such as ChatGPT (OpenAI) and Claude (Anthropic). This role is hands‐on and delivery‐focused: you will move … workflows and agents using platforms such as ChatGPT (OpenAI) and Claude (Anthropic). Cloud & Platform Engineering (GCP) Develop and deploy AI solutions on Google Cloud Platform, leveraging services such as Vertex AI, BigQuery, Cloud Run, and secure API integrations. Implement scalable, resilient architectures suitable for production use in a regulated ...

sufficient to: review and challenge modelling approaches, ensure models are production‐ready and correctly evaluated. Hands‐on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments. Expert knowledge of MLOps and CI/CD, including: Git‐based workflows, Infrastructure as Code (e.g. Terraform), automated testing ...

orchestration frameworks (e.g., Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead‐letter queues, error isolation). Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high ...

Python engineering skills and experience building API-based services Experience with modern data architectures and system design Experience working in cloud environments (AWS, Azure, GCP, or Databricks) Familiarity with CI/CD pipelines and modern engineering practices Experience with vector databases (e.g. Pinecone, Chroma) Experience with agent frameworks (e.g. LangChain ...

cloud and hybrid environments. Key Skills & Experience: • Strong experience in Platform Engineering, DevOps, SRE, or Cloud Engineering • Hands-on experience with AWS, Azure, or GCP • Infrastructure as Code experience – Terraform, Ansible, CloudFormation, or Bicep • Kubernetes and containerisation experience (Docker/OCI) • CI/CD pipeline design and automation • Strong networking ...

experience as per the tech listed below, preferably with Financial Services experience. Your professional experience + 10 years Cloud Engineering experience with AWS and GCP Snowflake Cloud Dev Ops Java Python CI/CD Pipeline Dev Kubernetes Terraform Software engineering for AWS DevOps tooling Deliverables: Responsibilities but not limited ...

development teams Core Competencies Skilled in designing distributed, event driven systems Platform and application development Has recently designed services that reside on AWS, Azure, GCP or hybrid environments Has the ability to work in and has strong knowledge of agile development and modern CD/CI approaches Understands how security ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

/NoSQL databases , including data modeling and validation Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP) Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic ...

enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. ...

Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS Services essential; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Strong development experience in Python and Boto3 • Data Security Posture Management (DSPM) platform knowledge • Experience ...

consistent releases Monitor systems using dashboards and alerts Support incident response and help troubleshoot issues Requirements: Basic understanding of cloud platforms (AWS, Azure, or GCP) Familiarity with Linux systems and networking basics Familiarity with Docker Exposure to Infrastructure as Code concepts Basic scripting (e.g. Bash, Python) Familiarity with the TypeScript ...

orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery ...

pipelines, and data workflows Experience with data modelling, data governance, and data quality practices Exposure to cloud platforms such as AWS, Azure, or GCP Familiarity with orchestration tools and modern data engineering frameworks Understanding of DevOps/DataOps principles Strong communication skills and ability to engage with both technical ...

asset classes such as FX, Fixed Income, or Derivativ esFamiliarity with CI/CD pipelines and DevOps practic esExperience with cloud platforms (AWS, GCP, or Azur e)Why Appl y Work on critical, high-impact trading syste msExposure to front office technology and business stakeholde rsCollaborative, fast-paced environment within ...

APIs, distributed systems, and PostgreSQL Experience building scalable microservice or event-driven architectures Strong experience with Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure) Experience mentoring engineers and leading technical projects Comfortable working in fast-paced startup environments Experience with AI/LLM integrations is highly desirable Python ...