1 to 25 of 176 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 ...

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 ...

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 ...

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 ...

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 ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ ...

Jira, Confluence , and related engineering tools. Desirable Skills: Testing microservices at scale, including contract testing approaches. containerisation (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Understanding of BDD/TDD practices and quality driven engineering.Monitoring and observability tools (Grafana, Prometheus, ELK). Excellent communication and stakeholder management skills, with ...

Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code and modern testing practices ...

methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity ...