176 to 200 of 1,413 GCP Jobs in London

ReactJS/Svelte/Webpack/HTML/CSS · Security - Oauth2 · Build Tools - Nx Dev/Yarn/npm · Platform - Docker/Nginx Desirable Technical Skills · Serverless · AWS/GCP – API Gateway/Lambda · Orchestration Stack – Kubernetes/Nomad · Experience with Java and Python Education & Experience Bachelor’s degree in computing, science, or engineering. At least 3 years of software More ❯

ReactJS/Svelte/Webpack/HTML/CSS · Security - Oauth2 · Build Tools - Nx Dev/Yarn/npm · Platform - Docker/Nginx Desirable Technical Skills · Serverless · AWS/GCP – API Gateway/Lambda · Orchestration Stack – Kubernetes/Nomad · Experience with Java and Python Education & Experience Bachelor’s degree in computing, science, or engineering. At least 3 years of software More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

GCP Engineer | 6 Month Contract | Outside IR35 £550 per day | Hybrid Location: Hybrid 2-4 days a month in London Contract Length: 6 Months Rate: £500-£600 a day Outside IR35 Industry: Defence - please bear in mind you must have a minimum of active SC clearance Overview We're looking for an experienced Google Cloud Platform (GCP) Engineer to support … of one of our Defence clients cloud infrastructure. We are looking for someone who can start within the next few weeks. Key Responsibilities Build, manage, and optimise infrastructure on GCP (Compute Engine, GKE, Cloud Storage, BigQuery, etc.) Automate deployments using Terraform or similar IaC tools Implement CI/CD pipelines and monitor cloud environments for performance and cost efficiency Ensure … cloud systems meet security and compliance standards Troubleshoot cloud-related issues and support development teams Requirements 3+ years of hands-on experience with GCP Strong knowledge of Terraform , Kubernetes (GKE) , and CI/CD tools Proficiency with Linux , networking , and cloud security Scripting skills in Python or Bash GCP certification (Professional Cloud Architect/DevOps Engineer) preferred If you are More ❯

ensure seamless integration of AI-driven controls with the Bank’s governance frameworks and operational processes. Design, build, and maintain scalable AI pipelines and applications on Google Cloud Platform (GCP), ensuring performance, security, and reliability. Create and maintain documentation for AI models, workflows, and automated controls, ensuring transparency and auditability. Continuously evaluate the effectiveness of automated controls and recommend enhancements … deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). More ❯

ensure seamless integration of AI-driven controls with the Bank’s governance frameworks and operational processes. Design, build, and maintain scalable AI pipelines and applications on Google Cloud Platform (GCP), ensuring performance, security, and reliability. Create and maintain documentation for AI models, workflows, and automated controls, ensuring transparency and auditability. Continuously evaluate the effectiveness of automated controls and recommend enhancements … deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). More ❯

ensure seamless integration of AI-driven controls with the Bank’s governance frameworks and operational processes. Design, build, and maintain scalable AI pipelines and applications on Google Cloud Platform (GCP), ensuring performance, security, and reliability. Create and maintain documentation for AI models, workflows, and automated controls, ensuring transparency and auditability. Continuously evaluate the effectiveness of automated controls and recommend enhancements … deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). More ❯

ensure seamless integration of AI-driven controls with the Bank’s governance frameworks and operational processes. Design, build, and maintain scalable AI pipelines and applications on Google Cloud Platform (GCP), ensuring performance, security, and reliability. Create and maintain documentation for AI models, workflows, and automated controls, ensuring transparency and auditability. Continuously evaluate the effectiveness of automated controls and recommend enhancements … deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). More ❯

or developer-focused products. Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling , and data/AI platforms. Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI . Proven ability to collaborate with engineering and research teams to align platform capabilities with end-user needs. Skilled in stakeholder management and influencing More ❯

with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience with Microsoft Fabric. Familiarity with other cloud platforms (AWS, GCP). Experience integrating with ERP systems such as SAP, Oracle, or Netsuite. Knowledge of Power Platform (Power Apps, Power Automate). Knowledge of Delta Lakehouse architectures and concepts. Experience with More ❯

languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience with Microsoft Fabric. Familiarity with other cloud platforms (AWS, GCP). Experience integrating with ERP systems such as SAP, Oracle, or Netsuite. Knowledge of Power Platform (Power Apps, Power Automate). Knowledge of Delta Lakehouse architectures and concepts. Experience with More ❯

languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience with Microsoft Fabric. Familiarity with other cloud platforms (AWS, GCP). Experience integrating with ERP systems such as SAP, Oracle, or Netsuite. Knowledge of Power Platform (Power Apps, Power Automate). Knowledge of Delta Lakehouse architectures and concepts. Experience with More ❯

languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience with Microsoft Fabric. Familiarity with other cloud platforms (AWS, GCP). Experience integrating with ERP systems such as SAP, Oracle, or Netsuite. Knowledge of Power Platform (Power Apps, Power Automate). Knowledge of Delta Lakehouse architectures and concepts. Experience with More ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production 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 ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production 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 ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production 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 ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production 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 ❯

systems (FastAPI, Flask, or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in More ❯