51 to 75 of 500 GCP Jobs in London

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 : £40,000 – £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 : £40,000 – £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 : £40,000 – £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 : £40,000 – £45,000 plus More ❯

building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus More ❯

power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a strong code-first, data as a product mindset at all times, where testing … as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement and oversee data governance, quality, and security measures. Monitoring, Optimization and Troubleshooting: Monitor data pipelines … such as Apache Airflow, Informatica, or Talend. Strong understanding of data governance and best practices in data management. Experience with cloud platforms and services such as AWS, Azure, or GCP for deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache More ❯

Yapily stays up, come rain or snow What You Bring Essential Skills Cloud architecture: Well used to best practices around, using, managing and operating a cloud infrastructure on AWS, GCP or Azure Automation skills: Solving classes of problems rather than individual tickets. Able to automate tasks using shell scripts and/or Python/Ruby/Golang and ensuring we More ❯

is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and security More ❯

is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and security More ❯

systems and microservices We're looking for candidates who have: Experience in designing and implementing cloud-native microservices-based distributed systems in a major cloud provider like AWS or GCP You have a bias to ship and iterate alongside product management and design partners Experience with object-oriented programming languages. We mostly use Java but appreciate a variety of languages More ❯

and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for data pipelines Understanding of data privacy and healthcare compliance (GDPR, HIPAA, ISO 62304) Strong software engineering practices: Git, testing, reproducibility, documentation Experience deploying More ❯

the ways of data engineering across the organisation. Obtain a wide and varied understanding of how our internal teams and client banks operate. Work with cloud-based infrastructure (AWS, GCP) for hosting data solutions and applications. Collaborate with clients, solution architects and other engineers to help meet the client goals. Proven experience in development and maintenance of a cloud-based More ❯

. Comfortable working with modern development tools, CI/CD pipelines, and version control. Exposure to at least one of the following would be beneficial: Cloud-based infrastructure (AWS, GCP, or Azure) Infrastructure-as-Code tools (e.g. Pulumi, Terraform, or similar) Mobile app development (React Native, Flutter, etc.) Video streaming or real-time data processing What's on Offer Equity More ❯

workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. What More ❯

Experience: 10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

Experience: 10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

Experience: 10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

Experience: 10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

integration, ETL, and data modelling Advanced skills in SQL, Python, or similar Strong knowledge of data governance, quality, and security best practices Experience with cloud architectures (AWS, Azure, or GCP) Track record of designing and implementing data management frameworks and operating models Excellent communication skills, able to engage both technical and non-technical stakeholders Leadership experience within data teams Desirable More ❯

Responsibilities Design, implement, and manage enterprise systems including networks, storage, databases, Exchange/Microsoft 365, Entra ID, authentication and mobility solutions. Administer and support cloud-based platforms (Azure, AWS, GCP) and on-prem infrastructure. Deliver expert-level support for escalated incidents and mentor junior engineers. Implement and maintain container platforms (Docker, Kubernetes) and automation frameworks (Terraform, Ansible, CI/CD More ❯

and privacy by design; align to service standards and accessibility where relevant. Tech you'll likely use LLM frameworks : LangChain, LlamaIndex (or similar) Cloud & Dev : Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI Data & MLOps : BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to have) Front ends (for internal tools) : Streamlit/Gradio/ More ❯

in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, you’ll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. What More ❯

in IAM, endpoint security, and data protection technologies, with proven ability to design and scale global solutions. Experience with security engineering in hybrid and cloud-native environments (AWS, Azure, GCP). Proven track record in automating security controls, implementing zero-trust models, and supporting 24x7 security operations. Strong understanding of compliance frameworks and risk management strategies. Preferred Qualifications: Certifications such More ❯

DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯

DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯