1 to 25 of 155 GCP Jobs in the North of England

understanding of streaming concepts (event time, state, backpressure) Experience building ETL/ELT or real-time data pipelines Familiarity with AWS (or Azure/GCP) Knowledge of distributed systems, microservices, and performance optimisation Experience with CI/CD, Git, and modern software engineering practices Nice to Have Exposure to platforms ...

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 ...

proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker ...

container orchestration (Docker, Kubernetes, etc) and a scripting language (e.g. Python, Bash) Proven experience (ideally 4+ years) of at least one major cloud provider (GCP, AWS, Azure) and Kubernetes experience Strong experience of Site Reliability Engineering practices and principles Strong experience in operational monitoring and dash-boarding for applications ...

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 ...

Java and JVM-based systems (3+ years coding experience preferred) Solid background in system design, distributed systems, and cloud architectures (AWS/Azure/GCP) Passion for clean code, testing, and performance optimization Excellent communication, leadership, and decision-making skills A mindset for innovation, problem-solving, and continuous improvement Bonus ...

experience in container orchestration (Docker, Kubernetes, etc) and a scripting language (e.g. Python, Bash. 4+ years' experience of at least one major cloud provider (GCP, AWS, Azure) and Kubernetes experience. Strong experience of Site Reliability Engineering practices and principles. Strong experience in operational monitoring and dash-boarding for applications ...

experience in container orchestration (Docker, Kubernetes, etc) and a scripting language (e.g. Python, Bash) 4+ years' experience of at least one major cloud provider (GCP, AWS, Azure) and Kubernetes experience Strong experience of Site Reliability Engineering practices and principles Strong experience in operational monitoring and dash-boarding for applications ...

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 ...

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 ...

automated testing Experience working in Agile/Scrum environments Strong communication and collaboration skills Desirable Skills Experience with cloud platforms (AWS/Azure/GCP) Containerisation (Docker/Kubernetes) Messaging technologies (Kafka/RabbitMQ) Experience with monitoring and observability tools Working Arrangements Hybrid: 2 days onsite in Sheffield , 3 days ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

industry experience in one of following: Java, Typescript, Python, Go, C#, React, Angular, Vue, Svelte. Experience with Cloud Native technologies (AWS, Azure or GCP) Hands-on experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Build automation tools to support ...

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/ ...

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 ...

/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online ...

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 ...

develop Experience in Some or All of the Following Distributed computing technologies such as Spark and Databricks Cloud platforms including AWS, Azure, or GCP Workflow orchestration tools such as Airflow CI/CD, version control, and infrastructure as code Desirable Experience within financial services, consulting, or risk environments Degree ...

code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional ...

experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability ...

SDKs.* Extensive experience with observability tools like NewRelic, Datadog, or Splunk.* Strong proficiency in Infrastructure as Code (Terraform, Ansible) and cloud platforms (AWS, GCP, or Azure).* Deep understanding of containerization and orchestration using Docker and Kubernetes.* Advanced coding skills in Python, Go, or Java for building robust automation ...

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 ...

Django Channels, Flask, RESTful APIs.* Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.* Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls.* Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality ...