1 to 25 of 72 GCP Jobs in Berkshire

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 ...

communication, leadership, and mentoring skills. Nice-to-have Familiarity with Next.js, Micro Frontends, and Server-Side Rendering (SSR). Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools such as Terraform. Background in data visualization or AI-driven UX design. Contributions to open-source projects or active ...

paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar). Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes. Experience in managing and deploying services ...

front end Containerisation with Docker CI pipelines using GitLab or similar Infrastructure as code using Terraform Cloud native platforms such as Azure, AWS, or GCP The team invests heavily in reusable components, templates, and internal platforms to improve speed, quality, and consistency across services The role You will be responsible ...

transformation logic Strong experience with data pipelines and orchestration tools Hands-on experience with big data ecosystems (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure data services) Advanced skills with Tableau, Power BI, or Looker, including data source optimization and dashboard automation Proficiency in Python or R for scripting ...

modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down complex ...

NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Experience of using AI to accelerate software development (using Github Copilot Coding Agents or similar) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation ...

confidence to take ownership. Nice to have (not essential): Next.js or other React frameworks. Containerisation (Docker) and CI/CD pipelines. Cloud experience (AWS, GCP or Azure). Experience or strong interest in AI/ML/LLMs and how they can enhance product features. Package & working pattern Salary ...

RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. Nice to Have: Experience in frontend development ...

Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience highly desirable A hands-on role with real impact, autonomy, and senior stakeholder exposure. ...

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 ...

LLMs, NLP, computer vision, or recommendation systems. Solid understanding of data pipelines, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, or GCP) and ML deployment strategies. Strong communication skills and experience mentoring or leading technical initiatives. Nice to Have Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex ...

Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems ...

JavaScript/TypeScript (Node.js) Strong understanding of backend architectures, REST/GraphQL APIs, and data modelling Experience with containerisation (Docker) and cloud platforms (GCP, AWS, or similar) Familiarity with LLM or AI APIs Exposure to agentic frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) Practical experience with databases (SQL/NoSQL) Strong ...

RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection ...

Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/CD (GitHub Actions, GitLab CI, CircleCI) You have experience of leading technical deployments ...

years of professional experience. Deep understanding of the Android ecosystem. Cloud & Architecture (Must Have): Experience working with at least one major cloud provider (AWS, GCP, or Azure) and a solid grasp of system architecture (designing APIs, selecting databases, and high-level system flow). While you don't need ...

large-scale distributed systems. Strong proficiency in programming languages such as Golang, Java, or Python. Extensive experience with cloud infrastructure providers (AWS, Azure, or GCP). Deep knowledge of container orchestration platforms like Kubernetes. Exceptional problem-solving skills and a passion for building scalable, secure solutions. Excellent communication skills ...

/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving ...

based orchestration), AIOps platforms (anomaly detection, noise reduction, predictive insights), and streaming/data pipelines (Kafka, Pub/Sub, Dataflow) Familiarity with cloud-native (GCP/Azure/AWS), Kubernetes, API-first integration, and observability stacks (metrics, logs, traces) Experience in ML/AI (feature engineering, MLOps, model monitoring), automation ...

NoSQL experience Preferred Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents ...

data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. Experience with one or more major cloud environments—Azure, GCP, or AWS—is also expected. In return for your skills and dedication, you will receive a comprehensive package designed to support your development and celebrate ...

startups or small, high-ownership teams Strong backend experience with Python or similar, PostgreSQL, and cloud infrastructure with Azure preferred but AWS or GCP also relevant Frontend experience with modern TypeScript frameworks like Next.js or React, and an eye for building clean, intuitive product experiences Experience designing and operating data ...

developing APIs You have a good appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps, CI/CD practices and Cloud infrastructure (they use GCP but AWS experience is also fine) You're comfortable in a fast paced, sometimes ambiguous start-up environment with changing priorities You have an interest ...

Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc. ...