19 of 19 GCP Jobs in Lincolnshire

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 ...

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 ...

with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability ...

with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability ...

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 ...

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 ...

with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability ...

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 ...

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 ...

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 ...

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 ...

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 ...