126 to 150 of 722 Google-Cloud-Platform Jobs in England

for the group and individual projects Build strong working relationships with subject matter experts Requirements Strong use of public cloud service providers e.g., GCP, AWS, Azure, Oracle Strong experience in research publications or released software projects Ability to plan and manage a research project independently with a significant software more »

the Kubernetes community. Knowledge of the wider cloud-native landscape, encompassing CI/CD methodologies, container orchestration, and leading cloud platforms (AWS, GCP, Azure). Exceptional problem-solving aptitude and adeptness in working autonomously as well as in team environments. Company Benefits: Private Equity Shares Private Health Care more »

and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise in the Maritime more »

GitLab, CircleCI, or similar, and infrastructure-as-code tools like Terraform, CloudFormation, or Ansible. Hands-on experience with cloud platforms, AWS, Azure, or GCP, and securing cloud-based environments. Solid understanding of containerisation technologies Docker, Kubernetes and securing containerised applications. Our client offers an attractive benefits package that more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You more »

ML solutionsExperience deploying models into production in a cloud environment.Experience working in the Insurance industry is essentialGood communication skillsTech: Python, SQL, AWS/GCP/AzureSALARY AND BENEFITSBasic salary 85,000-100,000Hybrid workingBenefits package and BonusHOW TO APPLYPlease register your interest for this role by sending your CV more »

computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with the ability to translate technical concepts into tangible business outcomes. Exceptional communication and presentation more »

have a good understanding of the full software development lifecycle including production deploymentIdeally you will have experience with cloud based services (AWS, Azure, GCP)You are degree educated, Computer Science or similar discipline from a top tier universitySalary & benefits:As a Support Engineer/Developer you will earn a more »

e.g., Redshift, BigQuery, Snowflake). • Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). • Exposure to cloud platforms (e.g., AWS, GCP, Azure) and their data services is highly desirable. • Excellent problem-solving skills and attention to detail. • Strong communication skills and the ability to work collaboratively more »

identifying training needs, motivating and performance managing the team. * AWS multi-tenant serverless platform * C#, Go * MS SQL, MongoDB, DynamoDB * React, JavaScript * Azure, GCP We are not expecting the Head of Software Enginerring to be an expert in all the technologies above, just a strong basis knowledge and passion more »

OR Polyglot Engineers that have done .Net are also welcome if they have worked on the above. Public Cloud (AWS ideally but Azure, GCP is also fine). Test Driven Development. (Bonus) Experience with Javascript would be a bonus Kubernetes DDD What’s in it for you? Salary up more »

features from API conception to database design Experience with Node.js, Typescript, and SQL databases (preferably Postgres) Practical experience with cloud platforms like AWS, GCP, or Azure Comfortable working with message queues and/or event-driven architectures (e.g. SQS/SNS, Pub/Sub, Kafka, RabbitMQ) Experience with Docker more »

control systems (e.g., Git) PREFERRED QUALIFICATIONS: Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau, Power BI). COMPENSATION & BENEFITS: Competitive salary up to £100,000 + bonus. Comprehensive more »