1 to 25 of 228 Remote/Hybrid GCP Jobs in the UK excluding London

Application Architect L1 (AI/ML & Agentic AI Platforms) Skill Group: GCP AI/ML – Vertex AI Location: Manchester, UK (2 Days Onsite) Employment Type: Long-Term Contract Role Overview We are seeking an experienced Application Architect L1 with strong expertise in Google Cloud AI/ML technologies , Agentic … solutions using Google Gemini on Vertex AI , orchestration frameworks, and knowledge-driven architectures. This role requires deep technical proficiency in Python , Google Cloud Platform (GCP) , containerized deployments, and semantic data modeling, along with experience building intelligent systems powered by LLMs, RAG pipelines, and autonomous agents. The position is based ...

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 ...

/ELT or streaming data pipelines Good understanding of distributed systems and microservices architecture Experience working with cloud platforms, ideally AWS (Azure or GCP also considered) Exposure to CI/CD pipelines and DevOps practices Experience with Terraform or similar Infrastructure as Code tools Familiarity with Docker and Kubernetes Comfortable ...

Working with stakeholders in interviews to create designs and user stories for solutions Javascript/Typescript React Python SQL Cloud platform experience (AWS, Azure, GCP) CI/CD, DevOps Testing Additional experience with the following would be beneficial but not essential: Java Infrastructure, Docker, Kubernetes and container services Containers ...

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 ...

Cloud transformation, the dRE II will be aligned to data product pods ensuring that our data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly. Accountabilities: Automate data tasks on Google Cloud Platform (GCP). Work with data domain owners, data scientists, and other stakeholders … maintain data infrastructure, including data pipelines, databases, data warehouses, and data processing platforms on GCP. Measure and monitor the quality of data on GCP data platforms. Implement robust monitoring and alerting systems to proactively identify and resolve issues in data systems. Respond to incidents promptly to minimize downtime and 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 ...

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 ...

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 ...

systems Coaching teams and influencing DevSecOps maturity across programmes Supporting live systems and solving complex operational challenges Expereince Required: Cloud & Platforms AWS (Azure/GCP a bonus) DevSecOps & Automation CI/CD (GitLab or similar) Infrastructure as Code (Terraform, Ansible, Puppet) Scripting/automation (Python, Bash, Rust etc.) Containers & Architecture ...

Person Solid commercial experience in DevOps, Platform Engineering or Site Reliability - with experience operating at a senior level. Strong cloud expertise (AWS, Azure or GCP) Container orchestration (Kubernetes). Infrastructure as Code experience & CI/CD tooling knowledge. Database and replication exposure (e.g. Postgres, MongoDB). Strong scripting skills (Python ...

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 ...

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/ ...

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/ ...

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 ...

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 ...

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 ...

plain and simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master-level proficiency ...