76 to 100 of 365 GCP Jobs in the City of London

encryption techniques. Knowledge of integration with enterprise systems, APIs, cloud services, and data pipelines. Hands-on experience with DevOps, containerization, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP) for blockchain deployment. Strong experience in solution architecture, technical leadership, and mentoring of engineering teams. Excellent communication, stakeholder management, and problem-solving skills with the ability to translate business needs More ❯

frequency trading environments. What You Bring 4+ years of experience in software engineering, with a focus on market data systems. Strong Python skills and familiarity with cloud platforms (AWS, GCP, or Azure). Experience with tick data and building tick data pipelines. Proficiency with Parquet-based file storage; Iceberg experience is a plus. Familiarity with Kubernetes, containerization, and modern orchestration More ❯

ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. Please More ❯

DevOps, CI/CD, and automation tools. Strong communication skills and ability to work with technical and non-technical teams. Nice to have: Cloud computing experience (Azure, AWS, or GCP). Knowledge of AQR Reporting (ECB). Exposure to Agile delivery environments. Understanding of enterprise architecture standards. Apply now or email Barry.Ansell@HarringtonStarr.com for a faster review. More ❯

essential Experience of deep analysis gaining actionable insight from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than More ❯

you ✨ You’ll thrive in this role if you are: Skilled in TypeScript across the stack (Node.js with Koa/Express and React or similar) Experienced with cloud platforms (GCP preferred: Cloud Run, Cloud Functions) and CI/CD pipelines ☁️ Confident with databases (Firestore or other NoSQL) and infrastructure patterns (Terraform/IaC) A strong problem-solver 🧩 with a collaborative More ❯

About you Youll thrive in this role if you are: Skilled in TypeScript across the stack (Node.js with Koa/Express and React or similar) Experienced with cloud platforms (GCP preferred: Cloud Run, Cloud Functions) and CI/CD pipelines Confident with databases (Firestore or other NoSQL) and infrastructure patterns (Terraform/IaC) A strong problem-solver with a collaborative More ❯

plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms (GCP preferred, or AWS/Azure) 🔍 Strong analytical mindset and ability to solve complex problems 🤝 Excellent communication and collaboration skills ⚙️ Experience with data engineering, MLOps, or automation tools is a plus More ❯

multiple programming languages, including JavaScript and TypeScript, and willing to dive into coding when necessary. A solid understanding of the services offered by major public cloud providers (AWS, Azure, GCP) and a track record of building enterprise-grade applications on one of these platforms. You will also have excellent communication skills with demonstrable experience in leading teams/projects in More ❯

with telecom technologies (OSS, BSS, IMS, NAT/CGNAT, IPv4/IPv6). Understanding of Big Data and data governance. Strong knowledge of cloud platforms including AWS, Azure, and GCP, as well as hybrid/private data centres. Experience with CI/CD tools and technologies such as Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, and Datadog. Experience leading multi More ❯

Java (with a willingness to cross-train into Go). The wider application stack also includes Python and Ruby , and the platform is hosted on AWS (with migration to GCP underway). What You’ll Do Design and build scalable microservices in Go , contributing to a growing distributed architecture. Develop intuitive, performant React components that enhance the user experience. Collaborate More ❯

e.g., AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Experience in designing and implementing enterprise-grade AI solutions More ❯

GCP Architect - Manager £75,000 to 90,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Role: Google Cloud Architecture Manager Location: London or Manchester (Hybrid) Salary: £75,000 - £90,000 + benefits Clearance: Must hold active SC security clearance Overview We are seeking an experienced Google Cloud Architecture Manager to lead the design, delivery … managing teams of engineers and architects, and ensuring that solutions are secure, scalable, and aligned to business objectives. The ideal candidate will bring deep expertise in Google Cloud Platform (GCP) , strong leadership capabilities, and hands-on experience with modern cloud infrastructure, automation, and security best practices. Key Responsibilities Lead the architecture and delivery of complex Google Cloud solutions across enterprise … and leadership to engineers and junior architects, fostering technical growth. Skills & Experience Required Active SC Security Clearance (essential). Professional-level Google Cloud certification required. Proven expertise in Google Cloud Platform services (Compute Engine, App Engine, GKE, Cloud Storage, IAM, VPC, etc.). Strong experience in architecting and engineering cloud-based solutions that meet both functional and non-functional requirements. More ❯

in Data Engineering or Data Platform development Experience working with First-Party Data Strong SQL and Python fluency (data transformations, orchestration, automation) Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

well-tested code Create and optimise RESTful APIs with strong attention to performance and security Model and optimise MongoDB schemas for scalable data access Deploy and maintain services on GCP , using CI/CD pipelines (GitHub Actions) Diagnose and resolve backend performance or scalability issues Collaborate in an agile environment with cross-functional teams Qualifications Degree in Computer Science or More ❯

enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave More ❯

re looking for Strong experience with Java, Scala, Kotlin, or another JVM language. Solid understanding of modern software engineering principles — from CI/CD to cloud-native development (AWS, GCP, or Azure). Experience with frameworks like Spring Boot, Micronaut, or Ktor is a plus. A mindset geared toward collaboration, curiosity, and continuous improvement. More information Salary up to £100k More ❯

Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. - Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. - Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: - Hybrid/Remote Option: Freedom to work from anywhere in the More ❯

Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux environments Bonus Experience: Prior work in biomedical NLP, literature mining, or clinical informatics More ❯

/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/Azure 🌍 What They’re Looking For Proven experience building scalable data pipelines in real-time or near real-time environments Strong background in data architecture, performance tuning, and distributed More ❯

/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/Azure What Theyre Looking For Proven experience building scalable data pipelines in real-time or near real-time environments Strong background in data architecture, performance tuning, and distributed systems More ❯

to document-based or NoSQL stores (e.g. MongoDB, Postgres) Strong grasp of core data architecture concepts including schema design and modelling principles Experience working in cloud environments (AWS or GCP ideal) Version control best practices (Git), plus familiarity with automated testing or CI/CD pipelines Bachelor's degree in Computer Science, Software Engineering, or a related field Bonus Skills More ❯

s or Master’s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent). Benefits This More ❯

customer value over bureaucracy About You 3+ years’ experience building backend systems at scale Strong in C#, Python , Go , Java or similar backend languages Familiar with cloud platforms (AWS, GCP, or Azure) Pragmatic engineer who values both speed and quality Excited by cybersecurity - no prior experience needed, just curiosity London-based or able to collaborate in-person regularly This is More ❯

client relationships and ensure alignment between business goals and technical delivery. What You’ll Bring 5+ years in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP). Expertise in Snowflake development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3, Data More ❯