151 to 175 of 765 Permanent GCP Jobs

workflows for machine learning. Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications: Advanced Degree: A Master's or Ph.D. in a relevant quantitative field. Healthcare Domain Experience: Experience developing and deploying AI/ ...

Location: Perth, Sydney and Melbourne, Australia (Relocation support considered) About the Role We are seeking a skilled Cloud Engineer to design, implement and maintain scalable cloud infrastructure solutions supporting enterprise environments across Australia. This role ...

Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help … build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: Design, build ...

Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help … build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: Design, build ...

Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help … build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: Design, build ...

delivery within a commercially focused data product environment . This role is 60% leadership/strategy and 40% hands on working with Python, SQL, GCP, AI solutions. As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance ...

Cloud Reliability role supporting large-scale cloud systems. Strong Kubernetes experience, including operating production clusters. Hands‐on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads. Experience working with large compute clusters; exposure ...

consistent releases Monitor systems using dashboards and alerts Support incident response and help troubleshoot issues Requirements: Basic understanding of cloud platforms (AWS, Azure, or GCP) Familiarity with Linux systems and networking basics Familiarity with Docker Exposure to Infrastructure as Code concepts Basic scripting (e.g. Bash, Python) Familiarity with the TypeScript ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

development teams Core Competencies Skilled in designing distributed, event‐driven systems Experience in platform and application development Designed services that reside on AWS, Azure, GCP or hybrid environments Strong knowledge of agile development and modern CD/CI approaches Understanding of how security design is integrated into the solution design ...

TypeScript. What will give you a competitive edge (preferred qualifications): Expert-level understanding of NLP, Embeddings, and Prompt Engineering. 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 ...

development teams Core Competencies Skilled in designing distributed, event driven systems Platform and application development Has recently designed services that reside on AWS, Azure, GCP or hybrid environments Has the ability to work in and has strong knowledge of agile development and modern CD/CI approaches Understands how security ...

TypeScript.**What will give you a competitive edge (preferred qualifications):*** Expert-level understanding of NLP, Embeddings, and Prompt Engineering.* 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 ...

DevOps, or Jenkins Solid Terraform and Ansible skills for infrastructure and configuration as code Cloud experience across one or more of AWS, Azure, or GCP Understanding of containerisation (Docker), secrets management, and pipeline security practices Scripting in Python, JavaScript, or similar Strong understanding of networking, SSL, VPN, and certificate lifecycle ...

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 ...

data warehousing concepts Experience building and maintaining ETL/ELT pipelines in production environments Exposure to cloud platforms such as Azure, AWS, or GCP Familiarity with modern data architectures (e.g. lakehouse or layered approaches such as Bronze/Silver/Gold) Strong problem-solving skills, with experience handling incidents ...

using declarative configurations and JSON/YAML based pipelines, ensuring consistency, repeatability, and auditability across environments. Enabled cloud native platform delivery across Azure and GCP, aligning infrastructure, application deployment, and security controls through code. Embedded DevSecOps practices, observability, and pipeline instrumentation to improve visibility into pipeline performance, failures, and operational ...

MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails ...