1 to 25 of 207 Remote/Hybrid GCP Jobs in the UK excluding London

Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent ...

Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure or GCP also considered) Knowledge of software engineering best practices (testing, CI/CD, Git) Experience with containerised workloads (Docker, Kubernetes/EKS) Comfort working in Agile ...

delivery across cloud environments. Strong consulting and communication skills – comfortable engaging with clients and influencing decisions. Shipped production systems on Azure, AWS or GCP with operational ownership (you build it, you run it). IaC expertise (Terraform preferred) + CI/CD (GitHub Actions/GitLab CI) + container platforms ...

with distributed computing frameworks like Hive/Hadoop and Apache Spark. Expertise in data modeling, schema design, and data visualization tools. Experience working in GCP and/or AWS is a plus. Experience with JavaScript, Node.js and React is nice to have. Experience deploying services on Kubernetes is a plus. ...

architecture, implementation, and optimisation.* Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc.* Experience designing and supporting implementation of large-scale data ...

data platforms and AI/ML solutions Define and influence data & AI strategy at enterprise level Design scalable solutions across cloud ecosystems (AWS, Azure, GCP) Lead implementation of MLOps frameworks and model lifecycle management Architect advanced AI use cases (NLP, LLMs, Agentic AI) Drive best practice across data governance, modelling ...

LLMs, and MLOps. Expert‐level understanding of NLP, Embeddings, and Prompt Engineering. Expert proficiency in Python, React, and TypeScript. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion ...

environments Strong knowledge of CI/CD platforms such as Jenkins, GitLab CI and Azure DevOps Experience managing cloud environments (Azure preferred, AWS or GCP also considered) Strong understanding of networking, security and system administration principles Experience with Docker, Kubernetes and container orchestration Proficiency in scripting languages such as Bash ...

/CD (Continuous Integration/Continuous Deployment) pipelines and tools, automating build, test, and deployment processes Experience with cloud platforms (e.g., AWS, Azure, GCP) Experience with SQL including the ability to write complex queries and optimise database performance, e.g. Postgres, MS SQL Server Experience in financial services a plus Required ...

experience working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG) Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered) Strong understanding of APIs, microservices, and distributed systems Familiarity with tools like Docker, Kubernetes , and CI/CD pipelines Experience working with data ...

Strong skills in Python and SQL, with exposure to big data or ML frameworks Experience working with cloud platforms such as Azure, AWS or GCP Understanding of CI/CD, MLOps or infrastructure-as-code practices Confidence communicating technical concepts to non-technical audiences Eligible for SC clearance (5+ years ...

architecture decisions and engineering best practices Supporting the deployment and monitoring of ML applications in production Tech environment includes: Python AWS/Azure/GCP Kubernetes & Docker FastAPI Infrastructure as Code CI/CD pipelines ML frameworks such as PyTorch/TensorFlow What they’re looking for: Strong Python engineering ...

using and configuring monitoring tools, ideally Grafana and Prometheus, to identify insights and alert to potential issues Experience using and configuring cloud infrastructure (ideally GCP but Azure also desirable) Experience with IaC tools (ideally Terraform) Experience with Docker, Kubernetes and Helm Knowledge of security and reliability best practices for cloud ...

microservices using Java for container platforms such as Docker or Kubernetes Solid understanding of databases SQL and NoSQL Hands‐on experience working with AWS, GCP or similar cloud services Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf Demonstrated ability to drive ...

microservices using Java for container platforms such as Docker or Kubernetes Solid understanding of databases SQL and NoSQL Hands‐on experience working with AWS, GCP or similar cloud services Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf Demonstrated ability to drive ...

with DevOps, continuous integration tools (Jenkins, Gitlab CI, Teamcity, Docker and Kubernetes) Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies Experience with Unit Testing frameworks – pytest/pyunit and cypress, playwright for UI testing Experience of developing web applications using Flask, FastAPI, Django ...

Experience with Python, SQL, Spark (and ideally Scala) Hands-on delivery of ML solutions in production Exposure to cloud platforms (AWS, Azure, or GCP) Understanding of DevOps, containers, and Infrastructure-as-Code Strong problem-solving and stakeholder communication skills The offer Work on cutting-edge AI and ML projects Opportunity ...

frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify ...

frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify ...

technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such ...

configuration management. Kubernetes for container orchestration. Experience with microservices, API design, event-driven systems. Understanding of Docker, cloud platforms (AWS/Azure/GCP), and observability tools. Personal Attributes Strong analytical and problem-solving skills. Clear communicator with varied audiences. Proactive, collaborative, and delivery-focused. Enthusiastic about continuous learning ...

cd...) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

with hands-on experience in building complex systems Deep understanding of: Distributed systems and microservices architectures APIs and platform design Cloud infrastructure (AWS, Azure, GCP) DevOps, CI/CD pipelines, and system reliability Proven experience leading large-scale, cross-team technical programs Preferred Qualifications Experience delivering AI/ML-based ...