19 of 19 Permanent GCP Jobs in Guildford

tooling: Cursor, Windsurf, GitHub copilot • AI powered platform development: Lovable, Replit, Bolt • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines • Data Integration: Products integrating ML/AI models, databases, BI tools • UI/UX Awareness: Collaborate on interfaces, data visualisation ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them) IaC literacy (ideally Terraform) Software Architecture Microservices, monoliths ...

will work across cutting‐edge platforms including Payment Networks, Digital Banking, Emerging Payments, and highly scalable data and analytics environments built on Google Cloud Platform, Data Lakes and Power BI. This role involves modern engineering, integration, testing, and hands‐on development within a high‐impact digital landscape. Key Responsibilities Code ...

methods (linear, mixed‐integer, reinforcement learning desirable). Strong SQL and practical experience with production‐ready data pipelines. Experience working with cloud environments (AWS, GCP, or Azure). Energy and Market Experience (Highly Desirable) Understanding of electricity markets, PPAs, forecasting, imbalance settlement, or asset telemetry. Experience with data sources such ...

environment using FastAPI, Flask or Django • React or a modern JavaScript framework on the frontend • API design and integration • Cloud platforms such as AWS, GCP or Azure • Testing, code quality and production readiness • Collaborating with engineers, product and design teams It would be great if you also have experience with ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. Bachelor ...

model development, deployment decisions, and agentic AI design choices. Contribute to best practices in ML lifecycle management and agentic system governance. Experience with other GCP services like Cloud Storage, Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such ...

growth scaleup environment. Expert in Python and frameworks such as PyTorch or TensorFlow. Experience deploying AI models in production, preferably in cloud environments (AWS, GCP, Azure). Entrepreneurial mindset – able to make technical decisions in a fast-moving, ambiguous environment. Excellent communication skills and comfortable collaborating directly with founders. Experience ...

messaging. Design and develop consumer-facing web applications using React to create a seamless experience for small and large businesses. Optimize cloud infrastructure on GCP and enhance automated CI/CD pipelines using CircleCI and GitHub Actions. The ideal candidate: Extensive experience managing and troubleshooting complex event-driven microservice systems ...

consulting role for cloud-native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including … needed. Preferred Qualifications Strong hands-on experience with Kubernetes, Docker, containers, virtualization technologies (vSphere, OpenStack), and leading public cloud platforms such as AWS, Google Cloud Platform, and Azure. Industry certifications (AWS, Azure, Kubernetes), especially Certified Kubernetes Administrator (CKA) Proven experience with enterprise-grade security, compliance, and regulatory frameworks. Comfortable operating ...

with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while … Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data engineering, and software engineering. •Minimum 3 years in MLOps ...

Alliance partners Strong Client focus and commitment to continuous improvement Strong strategy, research, analytical and negotiation skills Strong knowledge and relationships with hyperscalers (AWS, GCP, Azure) Ability to proactively network and establish effective working relationships Excellent Presentation and communication skills - both written and verbal Attention to detail ...

product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP). What You'll Be Doing Lead the development and deployment of machine learning models used in a live SaaS product Own models ...

maintaining scalable APIs and backend services in Python using FastAPI Contributing to architectural decisions as the platform evolves and transitions from Azure to GCP Ensuring strong integration between frontend and backend with a focus on performance and maintainability Taking ownership of features from design through to deployment What … Comfortable working across the full stack and switching between frontend and backend problem solving Experience with MongoDB, Redis, and cloud platforms such as Azure, GCP, or AWS Experience working with data heavy or AI driven products is a bonus A proactive engineer who enjoys working in a small, fast moving ...

taking responsibility for deployments, testing, reliability, debugging, and performance. Have strong experience with: Node.js, Express.js React/Next.js (or similar) PostgreSQL/SQL Firestore GCP & Firebase Thrive in fast-paced, ambiguous, high-ownership environments. Bonus: Experience in hospitality tech or fintech. Tech Stack Languages & Frameworks: Node.js, Express.js, JavaScript, TypeScript, React … Next.js Styling: Tailwind CSS Databases: Firestore, PostgreSQL/SQL Infrastructure: Google Cloud Platform (GCP), Firebase Bonus: Experience building or integrating APIs at scale About the Company This start-up is reinventing how hospitality businesses connect with their customers, combining fintech-level reliability, smart integrations, real-time data, and delightful user ...

will support our client in the financial industry. You will work with cutting-edge technologies in reporting, analytics, and data engineering, including Google Cloud Platform, Big Data, Data Lakes, Warehouses, and Power BI. Key Responsibilities Database Management Systems (DBMS), Analytics, and Visualization. Cloud and Big Data technologies. Application programming, testing … debugging, and troubleshooting. Platform integration. Documentation. Your Profile Essential Skills/Knowledge/Experience Strong working and technical knowledge of GCP (GCS Buckets, BigQuery, Dataproc, Pub/Sub), Airflow, Spark, PySpark, Spark SQL, Hive. Good knowledge of Python (Pandas, NumPy, Wiresafe), SQL, Linux CLI, BigQuery. Experience with DBMS, Delta Tables ...