351 to 375 of 1,455 GCP Jobs in England

technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your More ❯

level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance. Independent, self More ❯

technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your More ❯

learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. Knowledge of version control systems (e.g., Git) and CI/CD practices for ML workflows. Experience 3+ years of hands-on experience as a More ❯

models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes. Understanding of probability, statistics, and key supervised/unsupervised learning methods. Excellent communication skills, able to engage technical and non-technical stakeholders. The Package More ❯

engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques More ❯

in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ More ❯

in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ More ❯

in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ More ❯

in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ More ❯

in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ More ❯

in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ More ❯

Looking For Strong experience in web and mobile architecture and modern frameworks (JavaScript/TypeScript, Node.js, Python). Deep knowledge of APIs (REST, GraphQL) and cloud platforms (AWS, Azure, GCP). Hands-on experience managing external development teams. Commercially aware, pragmatic, and solutions-oriented. Confident communicating complex technical ideas to both technical and non-technical stakeholders. Why You'll Love More ❯

Looking For Strong experience in web and mobile architecture and modern frameworks (JavaScript/TypeScript, Node.js, Python). Deep knowledge of APIs (REST, GraphQL) and cloud platforms (AWS, Azure, GCP). Hands-on experience managing external development teams. Commercially aware, pragmatic, and solutions-oriented. Confident communicating complex technical ideas to both technical and non-technical stakeholders. Why You’ll Love More ❯

communicate technical concepts both verbally and in writing. Experience designing both analytical and operational data models. A genuine interest in AI technologies. Desirable extras: Cloud certifications (AWS, Azure, or GCP Data Services). Knowledge of data warehouse methods and techniques. Practical experience with AI tools and processes. Active involvement in data or technology communities. Whats on offer A salary of More ❯

/Galaxy administration/CLI. Implementation experience with container orchestration solutions (Kubernetes/OpenShift). Knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies (AWS, Azure, GCP). Understanding of distributed system architecture, high availability, scalability, and fault tolerance. Familiarity with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos. Excellent Unix/Linux skills. Familiarity More ❯

/Galaxy administration/CLI. Implementation experience with container orchestration solutions (Kubernetes/OpenShift). Knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies (AWS, Azure, GCP). Understanding of distributed system architecture, high availability, scalability, and fault tolerance. Familiarity with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos. Excellent Unix/Linux skills. Familiarity More ❯

trading strategies is highly desirable. Desired Skills Experience with specific LLM architectures (e.g., Transformers, RNNs). Familiarity with time series analysis techniques. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Strong software engineering skills and experience with version control systems (e.g., Git). Ability to work independently and as part of a team. While we understand the company More ❯

trading strategies is highly desirable. Desired Skills Experience with specific LLM architectures (e.g., Transformers, RNNs). Familiarity with time series analysis techniques. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Strong software engineering skills and experience with version control systems (e.g., Git). Ability to work independently and as part of a team. While we understand the company More ❯

trading strategies is highly desirable. Desired Skills Experience with specific LLM architectures (e.g., Transformers, RNNs). Familiarity with time series analysis techniques. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Strong software engineering skills and experience with version control systems (e.g., Git). Ability to work independently and as part of a team. While we understand the company More ❯

trading strategies is highly desirable. Desired Skills Experience with specific LLM architectures (e.g., Transformers, RNNs). Familiarity with time series analysis techniques. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Strong software engineering skills and experience with version control systems (e.g., Git). Ability to work independently and as part of a team. While we understand the company More ❯

trading strategies is highly desirable. Desired Skills Experience with specific LLM architectures (e.g., Transformers, RNNs). Familiarity with time series analysis techniques. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Strong software engineering skills and experience with version control systems (e.g., Git). Ability to work independently and as part of a team. While we understand the company More ❯

ES6/ES7) and libraries such as React , Redux , and D3 . Experience in Node.js and common tools like npm , webpack , etc. Understanding of cloud-based deployments (preferably using GCP or AWS) and serverless architectures . Familiarity with test frameworks such as Mocha , Cypress , and CI/CD pipelines (e.g., CircleCI). Solid grasp of Git , JIRA , and modern Agile More ❯

ES6/ES7) and libraries such as React , Redux , and D3 . Experience in Node.js and common tools like npm , webpack , etc. Understanding of cloud-based deployments (preferably using GCP or AWS) and serverless architectures . Familiarity with test frameworks such as Mocha , Cypress , and CI/CD pipelines (e.g., CircleCI). Solid grasp of Git , JIRA , and modern Agile More ❯

ES6/ES7) and libraries such as React , Redux , and D3 . Experience in Node.js and common tools like npm , webpack , etc. Understanding of cloud-based deployments (preferably using GCP or AWS) and serverless architectures . Familiarity with test frameworks such as Mocha , Cypress , and CI/CD pipelines (e.g., CircleCI). Solid grasp of Git , JIRA , and modern Agile More ❯