51 to 75 of 316 GCP Jobs in England with Remote Work Options

generative AI Adding vector search to production applications using vector databases Interacting with relational datasets with dynamic SQL Cloud computing platforms - Azure, AWS, or GCP Serverless architecture, azure function apps or similar (such as AWS lambda). Solid understanding of the following concepts: How embedding models work and how they more »

React, Angular and Vue. The automation of environmental and application deployment, scaling, and management using Kubernetes, Terraform, both in the cloud (AWS, Azure or GCP) or on-premise. About You You're an engineer at heart and enjoy the challenge of building complex software solutions You want to work across more »

and Confluence.Preferably you will also have:Industry certifications such as Scrum Master, Product Owner, BCS, ITIL, TOGAF, and Cloud certifications such as AWS/GCP/Azure among others.Proficiency or experience with a software development language e.g. Java, Python, SQL, HTML, JSON.At Deloitte we champion individuality, and we understand that more »

national. Experience in designing and building infrastructure using a DevOps mindset in any of the main public cloud providers including AWS/Azure/GCP Experience with distributed systems and ability to build secure cloud at scale Experience using containerization technologies (Docker, Kubernetes etc) Ability to manage key stakeholders, including more »

Extensive experience in designing and building infrastructure using a DevOps mindset in any of the main public cloud providers including AWS/Azure/GCP Extensive experience with distributed systems and ability to build secure cloud at scale Extensive experience using containerization technologies (Docker, Kubernetes etc) Ability to both manage more »

Preferred Qualifications: AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect) are a plus. Experience with other cloud providers (e.g., Azure, Google Cloud Platform) is desirable. Knowledge of containerization technologies such as Docker and Kubernetes. Experience with configuration management tools such as Ansible, Puppet, or Chef more »

Azure and GCP. Skills we’d love to see/Amazing Extras: Solution development and delivery into at least one cloud platform (AWS, Azure, GCP) Knowledge of Database systems and models. Ability to use wide variety of open-source technologies. Experience with logging/monitoring tools (DataDog, StackDriver, Prometheus etc more »

Actions, CircleCI etc) Skills we’d love to see/Amazing Extras: Solution development and delivery into at least one cloud platform (AWS, Azure, GCP) Knowledge of Database systems and models. Ability to use wide variety of open-source technologies. Experience with logging/monitoring tools (DataDog, StackDriver, Prometheus etc more »

Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem-solving skills and the ability to think critically and creatively. Excellent analytical skills with a deep understanding of statistical and machine more »

in Golang) Strong data structures & algorithms knowledge Excellent communication and teamwork skills Bonus points for: Trading experience (digital assets or traditional) Cloud platforms (AWS, GCP, Azure) Containerization (Docker) & caching technologies (Redis) Messaging/streaming tech (Kafka, RabbitMQ) Why Join? Fast-growing FinTech with a start-up vibe & global reach Cutting more »

as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience more »

and business goals. Bonus Skills for an Edge Experience in trading (digital assets or traditional) is a major plus. Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker) is a game-changer. Familiarity with caching technologies (Redis) and messaging/streaming tech (Kafka, RabbitMQ) will set you apart. Why more »

management 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 »

skilled 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 You more »

skilled 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 You more »

skilled 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 You more »

and test scalable and robust data pipelines, models, and applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc.Build and deploy production grade fine-tuned LLMs and RAG architecture.Create and manage the complex and robust prompts across the GenAI more »

and test scalable and robust data pipelines, models, and applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc.Build and deploy production grade fine-tuned LLMs and RAG architecture.Create and manage the complex and robust prompts across the GenAI more »

and test scalable and robust data pipelines, models, and applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc.Build and deploy production grade fine-tuned LLMs and RAG architecture.Create and manage the complex and robust prompts across the GenAI more »

and test scalable and robust data pipelines, models, and applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc.Build and deploy production grade fine-tuned LLMs and RAG architecture.Create and manage the complex and robust prompts across the GenAI more »

and test scalable and robust data pipelines, models, and applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc.Build and deploy production grade fine-tuned LLMs and RAG architecture.Create and manage the complex and robust prompts across the GenAI more »

required 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 »

version 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 »

to lead or support the definition of the delivery platform within that team. • You have experience working in the cloud (AWS/Azure/GCP) • You're an engineer at heart and enjoy the challenge of building elegant solutions • You want to work across a range of tech, trying out more »

Our Tech Stack: We are currently working with the following technologies: Kotlin (back-end/services are our current focus) Http4K/Result4k Google Cloud Platform/Cloud Run/Cloud Build/FireStore CI/CD Google Cloud Build. Also: Terraform with SonarQube, FOSSA, 42Crunch and Checkmarx Kafka (yeah more »