13 of 13 GCP Jobs in Lincoln

reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

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 ...

Engineers to learn and grow. Essential Skills: Python JavaScript/Typescript. They use Vue.js but are open to any React.js engineers AWS/GCP MongoDB DynamoDB Nice to haves: Experience building a product from scratch Kubernetes/Terraform experience Architecture background ...

services, infrastructure automation, and cloud-native solutions by utilising your software development knowledge and your DevOps proficiency across AWS and GCP. Desired Skills: Golang GCP, AWS Kubernetes (cloud-native), Terraform This is a great opportunity for a Senior Software Engineer who: Has experience building cloud-native software and platform solutions ...

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 ...

strong background in IT architecture across business, data, applications and infrastructure - Experience within the retail sector - Good understanding of cloud technologies (AWS, Azure, GCP) - A background in delivering on modernisation/transformation programmes - Strong communication skills and ability to present at senior level ...

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 ...

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 ...