26 to 50 of 242 GCP Jobs in the South East

mitigation Error-correction Quantum Machine Learning Prior exposure to quantum SDKs (e.g., Qiskit, Cirq, PennyLane) and Quantum simulators. Hands-on experience with DevOps and infrastructure tools: Docker Cloud environments (GCP and AWS) CI/CD workflows Comfortable working remotely and asynchronously across time zones Benefits We offer competitive compensation with significant equity and benefits. Join a diverse, flexible workplace building More ❯

models for product catalogues, speech processing pipelines with web integration, MLOps platforms, rapid model serving, and real-time inference systems with corresponding user interfaces Cloud-Native Deployment: Ideally Google Cloud Platform expertise including rapid Cloud Run deployments, Vertex AI, Vector Search for product recommendations, Pub/Sub for order processing, monitoring, frontend hosting solutions, and Infrastructure as Code Performance & Evaluation More ❯

our data warehouse in Google BigQuery. We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most More ❯

with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other cloud environments (GCP/AWS). Familiarity with Git-based version control , CI/CD, and DevOps principles. Strong understanding of Power BI and DAX for building analytical models. Excellent problem-solving skills More ❯

degree in ML, mathematics, or statistics Knowledge of probabilistic and Bayesian modelling Solid software-engineering principles and experience with an OO language Familiarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such as Terraform More ❯

understand their needs Have excellent communication skills to build consensus with stakeholders, both internally and externally Possess deep knowledge of modern cloud infrastructure, including Infrastructure as Code, AWS, and GCP Strong candidates may have: Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL Low-level systems experience, for example Linux kernel More ❯

scripts/systems Experience working directly with software engineering best practices: source control, unit testing, code reviews, design documentation, excellent debugging, troubleshooting skills. Experience with Azure (ideally), AWS or GCP, Docker, Kubernetes, and Helm. Experience of operationally managing software components once live, including; observability, logging, metrics, error reporting, debugging and live incident management. Experience with Microsoft Sentinel, Microsoft's Defender More ❯

Experience developing and deploying AI models on Android mobile platforms. Proven experience in building and maintaining large-scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP). More ❯

for 4+ years’ hands-on backend Java development experience. Strong expertise in RESTful APIs and microservice architectures. Background in distributed systems, OOP, and networking fundamentals. Cloud environment experience (AWS, GCP, etc.), plus Docker/Kubernetes and CI/CD. Proven track record optimising apps for performance, memory, and scalability. SQL/NoSQL database experience, including deployment and integration. Knowledge of More ❯

or developer-focused products. Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling , and data/AI platforms. Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI . Proven ability to collaborate with engineering and research teams to align platform capabilities with end-user needs. Skilled in stakeholder management and influencing More ❯

best practices and architecture principles. Key Focus Areas Scalable cloud architecture DevOps & CI/CD implementation Governance & security compliance Must-Have Skills Cloud strategy and architecture (AWS, Azure, or GCP) Containerization: Docker, Kubernetes DevOps, CI/CD, automation Cloud security and governance standards Agile methodologies and stakeholder collaboration Experience & Education 10+ years of technical experience, with 5+ years in cloud More ❯

week in London. There is no visa sponsorship or support on offer, sadly. 5 years in the UK essential for financial checks (our client is financial services) AWS or GCP is NOT needed. Pure Azure is what our client works with. What's in it for you? A good base salary (Yes, there is a big range, but it depends More ❯

management skills when engaging with customers Significant experience of coding in Python and Scala or Java Experience with big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc. Experience with Terraform Prior experience in a customer-facing consultancy role More ❯

governance frameworks, steering committees, and executive stakeholder engagement. Track record of managing multi-million-pound portfolios and distributed delivery teams. Cloud, Infrastructure & Enterprise Technology: Solid understanding of cloud platforms (GCP, AWS, or Azure) and hybrid enterprise architectures. Experience in infrastructure modernization, large-scale migrations, and data center transformations. Awareness of enterprise technologies commonly used in banks (core banking, middleware, data More ❯

identify automation opportunities. Skills & Experience: Proven experience developing digital or media-focused technology solutions. Strong programming skills (JavaScript, TypeScript, Python, or similar). Experience with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with ETL/ELT processes and data visualisation More ❯

technologies is very important Strong ability to build, develop and scale technical organisations of 30 people or more Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices Experience of large scale platform migrations, customer transitions and maintaining service continuity Background working with blended QA teams and embedding quality engineering practices More ❯

technologies is very important Strong ability to build, develop and scale technical organisations of 30 people or more Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices Experience of large scale platform migrations, customer transitions and maintaining service continuity Background working with blended QA teams and embedding quality engineering practices More ❯

. Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. More ❯

HTML, CSS , and responsive design principles Strong understanding of Back End technologies and best practices Passion for writing clean, well-tested code Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills and the ability to explain technical ideas clearly A mindset focused on scalability, maintainability, and continuous learning Must be proficient in Node and React Nice to Have More ❯

HTML, CSS , and responsive design principles Strong understanding of Back End technologies and best practices Passion for writing clean, well-tested code Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills and the ability to explain technical ideas clearly A mindset focused on scalability, maintainability, and continuous learning Must be proficient in Node and React Nice to Have More ❯

version control Experience working with JavaScript frameworks such as React, Redux , Vue, Backbone, or Angular. Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in object-oriented programming , data structures , algorithms and web application development . More ❯

Cloud) API and microservices expertise Experience integrating with NHS or healthcare systems Docker, Kubernetes, CI/CD (Jenkins/GitLab/Azure DevOps) Cloud exposure (AWS/Azure/GCP) Knowledge of Kafka/RabbitMQ is a plus *Rates depend on experience and client requirements More ❯

Hugging Face, LangChain, and OpenAI/Anthropic APIs. Familiarity with DevOps & tooling (Git, CI/CD, API integration), front-end & visualization (Streamlit, Gradio, React), and cloud environments (AWS/GCP/Azure). Experience with vector and graph databases (Pinecone, FAISS, Neo4j). Understanding of model evaluation metrics and automation techniques. Awareness of AI ethics and responsible AI practices. Bachelor More ❯

For this role I am looking for a Senior Full Stack Java Developer with 5yrs+ exp with Java 11/17, Spring MVC, REST API's, Microservices, AWS/GCP/Azure with strong experience of working across the full stack with ReactJS/TypeScript on the front end. Skills nice to have: Docker, Kubernetes, Cypress, Playwright, TDD, BDD, Gradle More ❯

. Track record of thought leadership (invited talks, keynotes, conference leadership roles). Experience establishing standards for reproducibility, experimentation, and responsible AI. Cloud or AI/ML certifications (AWS, GCP, Azure) are a plus. Benefits Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for some of the most sophisticated More ❯