776 to 800 of 3,437 GCP Jobs in the UK

industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning ...

within multidisciplinary teamsExperience 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 ...

within multidisciplinary teamsExperience 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 ...

clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure componentsAdditional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms. Familiarity ...

industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning ...

strong coaching and mentorship style Deep understanding of modern data architectures, data integration best practices, orchestration patterns, and cloud-based data platforms (AWS, GCP, or Azure) Technical credibility with data engineering practices: strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands ...

delivery experience with contribution to practice growth through proposition development and knowledge sharingCloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code Experience & Qualifications: Experience: Minimum 7–10 years in data architecture, engineering, or consulting roles, with ...

industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning ...

8+ years of commercial software engineering experience. Experience owning and operating production distributed systems end-to-end. Strong TypeScript or Python expertise. Deep Google Cloud Platform experience, or equivalent cloud platform knowledge. Proven track record of designing, building and operating large-scale systems. Improving engineering standards, quality processes or software ...

patterns, DRY principles, Clean Code, and microservices architecture.* Technical Ecosystem: Proficient with modern DevOps and cloud tools, including Git, Docker, Kubernetes, and cloud platforms (GCP preferred).* Financial Domain Awareness: Good foundational understanding of financial products, risk management concepts, or risk methodologies (e.g., SPAN, VaR).* Analytical Aptitude: Strong mathematical ...

architects and product development teams, fostering an environment of innovation and excellence. Required Skills Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure). Understanding of database design and data warehouse principles. Strong understanding of investment data, good to have Knowledge of one or more programming languages ...

engineering fundamentals: cloud, reliability, security, monitoring, CI/CD Technical environment (Not hands-on coding daily, but technically credible) Cloud: AWS/Azure/GCP AI/ML delivery: model deployment, MLOps/LLMOps, monitoring, iteration Platform foundations: Kubernetes (EKS/AKS), CI/CD, GitOps concepts Observability: metrics, logs ...

engineering culture also values curiosity, humility, trust, ownership and team spirit. Our technical stack is C# on .NET Core Linux, React, TypeScript, PostgreSQL, Google Cloud Platform, Docker, Kubernetes, Terraform, RabbitMQ and Circle CI.Explore Our Tech Blog: If you're curious about the kind of challenges our engineering team tackles ...

validation and Agentic AI testing approaches. Provide quality architecture across a diverse technology landscape , including Microsoft Dynamics 365, Power Platform, OutSystems, Azure APIM, GCP data platforms, APIs, event-driven integrations and AI/ML products. Champion shift-left and engineering-led quality practices , promoting TDD, BDD, continuous testing and risk ...

automate workflows. Strong IAM fundamentals: least privilege, cross‐account roles, permission boundaries, federated identity, and privileged access management. Comfortable working across Azure/GCP in addition to AWS - multi‐cloud exposure is a plus. In‐depth knowledge of information security principles and cybersecurity frameworks relevant to cloud environments: MITRE ...

About the Role As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations , you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO ...

Experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions, TeamCity, Spacelift or similar tools)Experience with cloud platforms (AWS preferred; Azure or GCP also valuable)Hands-on experience with Infrastructure as Code, particularly TerraformStrong experience with observability practices (logging, monitoring, alerting)Familiarity with tools such as New Relic ...

where applicable. Skills, Knowledge and Expertise Technical Expertise: MS Fabric, Power BI, data modelling, SQL, Python, ETL tools, cloud platforms (Azure/AWS/GCP), and working knowledge of AI productivity tools including Microsoft Copilot and Claude. Data Governance & Quality: Strong understanding of data governance frameworks, data quality management, stewardship ...

data lakes Experience using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS Strong experience working with Kafka technologies Clear understanding of data structures, algorithms, software design, design patterns and core programming concepts Good understanding ...

Описание: Universal Music Group UK is the UK's leading music-based entertainment company. It shapes culture through artistry and helps UK artists produce, distribute, and promote critically acclaimed and commercially successful music for audiences ...

identify risks and mitigations for their ML and DS programmes, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP) Working with clients in key areas of ML model governance, such as in defining philosophies including fairness, transparency, interpretability, and accountabilityYour Skills and Experience … version control, testing, MLOps, CI/CD and API designHands on experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning studio) Be a 'lifelong learner' and can demonstrate a drive ...

Who we are DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS ...

collaboration. Essential Demonstrated vulnerability management experience in a role such as vulnerability analyst, specialist, or engineer. Strong technical knowledge of cloud platforms (aws, gcp) and cloud-native security architecture. Experience with kubernetes and container security principles. Security knowledge in AWS/GCP. Basic scripting skill for automation purposes (Python ...

certification systems. While the primary focus of this role involves support of bare‐metal on‐premises infrastructure, experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is desirable. Incident Response & Technical Troubleshooting: Serve as a technical responder for production incidents occurring during US GTH market ...

insurance, telecom, public sector, manufacturing, retail). Technical Expertise Extensive experience with Microsoft Fabric core featuresProficiency in cloud ecosystems (Specifically Azure, optionally AWS and GCP are an advantage) and infrastructure-as-code (e.g., Terraform).Strong background in databases, data warehouses, and distributed processing frameworks. Familiarity with BI and data exploration ...