9 of 9 Permanent GCP Jobs in Watford

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 ...

Solid experience with RESTful APIs, microservices, authentication/authorisation, and database design (SQL/NoSQL). Strong understanding of cloud platforms (AWS, Azure, or GCP). Experience mentoring junior developers or leading small development teams. Familiarity with AI/ML frameworks, data pipelines, or integrating large language models/APIs. ...

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 ...

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 ...

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 ...