226 to 250 of 1,294 Permanent GCP Jobs

platform, ML or data infrastructure Strong Python development skills Experience with training pipelines and distributed workloads Docker and containerisation expertise Experience with cloud platforms (GCP preferred) Infrastructure-as-Code experience (Terraform preferred) Desirable Experience MLOps for robotics, autonomous systems or embodied AI Kubeflow, SkyPilot or similar tooling ONNX and TensorRT ...

mentoring experience. Agile project delivery, roadmap planning, and milestone management. Engineering management covering architecture, testing, and software delivery. Strong technical skills including Python, Linux, GCP, Git, APIs, and CI/CD. Experience with cloud platforms, Docker/Kubernetes, and AI‐enabled development. Desirable: Experience with power systems, SCADA, energy trading ...

with SAP Ariba, Cloud Integration Gateway (CIG), and SAP BTP Experience defining enterprise architecture or technology strategies. Exposure to multi-cloud environments (Azure, AWS, GCP). Experience with DevSecOps, platform engineering, and automation frameworks. TOGAF, SAP, cloud, or integration platform certifications. ...

problems and taking ownership. You'll ideally have experience with: Python development. Building production SaaS or enterprise software products. Cloud platforms (AWS, Azure or GCP). Designing scalable backend architectures and APIs. Enterprise authentication and security (OAuth2, OpenID Connect, SSO, RBAC, JWT or similar). Databases including PostgreSQL and modern ...

with SAP Ariba, Cloud Integration Gateway (CIG), and SAP BTP Experience defining enterprise architecture or technology strategies. Exposure to multi-cloud environments (Azure, AWS, GCP). Experience with DevSecOps, platform engineering, and automation frameworks. TOGAF, SAP, cloud, or integration platform certifications. ...

with SAP Ariba, Cloud Integration Gateway (CIG), and SAP BTP Experience defining enterprise architecture or technology strategies. Exposure to multi-cloud environments (Azure, AWS, GCP). Experience with DevSecOps, platform engineering, and automation frameworks. TOGAF, SAP, cloud, or integration platform certifications. ...

with SAP Ariba, Cloud Integration Gateway (CIG), and SAP BTP Experience defining enterprise architecture or technology strategies. Exposure to multi-cloud environments (Azure, AWS, GCP). Experience with DevSecOps, platform engineering, and automation frameworks. TOGAF, SAP, cloud, or integration platform certifications. ...

SonarQube, Docker, Kubernetes). Proficiency with source control systems (Git), including branching strategies and code review practices. Hands-on experience with cloud platforms (especially GCP), Kubernetes, Docker, and Infrastructure as Code. Familiarity with monitoring, logging, alerting, and SRE concepts (Prometheus, Grafana, ELK, etc.). Experience with test automation tools (JUnit ...

SonarQube, Docker, Kubernetes). Proficiency with source control systems (Git), including branching strategies and code review practices. Hands-on experience with cloud platforms (especially GCP), Kubernetes, Docker, and Infrastructure as Code. Familiarity with monitoring, logging, alerting, and SRE concepts (Prometheus, Grafana, ELK, etc.). Experience with test automation tools (JUnit ...

engineering productivity, quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring ...

supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency ...

supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency ...

microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: £110,000 crica/25% bonus/28 days holiday/Holiday Purchase Scheme/Occasional travel/Health Insurance ...

microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: £110,000 crica/25% bonus/28 days holiday/Holiday Purchase Scheme/Occasional travel/Health Insurance ...

microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: £110,000 crica/25% bonus/28 days holiday/Holiday Purchase Scheme/Occasional travel/Health Insurance ...

dependency risk management. Hands‐on experience integrating repositories with GitHub, Jenkins, and Azure DevOps pipelines. Experience working in cloud environments (Azure preferred; AWS/GCP acceptable). Proficiency with automation and scripting (Python, Groovy, Terraform, etc.). Knowledge of modern SDLC and DevSecOps operating models. Compensation/Benefits Information (This ...

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 ...

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 ...

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 ...

data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience with graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge ...

Apple's technology stack Experience building and operating enterprise‐grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on‐prem environments Preferred Qualifications Demonstrated ability to deliver end‐to‐end AI products - from problem framing and experimentation through to globally deployed ...

building and leading customer-facing data products or analytics platforms. Deep expertise in Snowflake and modern cloud platforms, especially Azure (experience with AWS or GCP a plus). Strong technical proficiency with the modern data engineering stack, including tools such as dbt, Coalesce, Airflow, Fivetran, and Python. Familiarity with DataOps ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...