1 to 25 of 56 Google-Cloud-Platform Jobs in Slough

Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight ...

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 ...

pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure, GCP CI/CD pipelines (GitLab, Jenkins) Desirable Skills Experience with prompt engineering, fine-tuning LLMs, and building RAG-based solutions. Knowledge of financial instruments, pricing models ...

close alignment with our technical vision and strategic roadmap. Responsibilities Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure Write, review, and manage modular, reusable Terraform code Operate and enhance CI/CD pipelines using GitHub Actions … modular and reusable patterns preferred) Strong foundation in Linux, networking, and container technologies Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable) Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups ...

designing and implementing RESTful APIs and microservices. Solid understanding of databases (SQL and NoSQL) and effective data modeling. Familiarity with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines. Experience with performance optimisation, security best practices, and scalable architectures. Excellent communication skills and ability to work effectively ...

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 ...

/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Excellent understanding of data governance, security, and compliance in regulated environments. Strong communication and stakeholder management skills. ...

FastAPI), with a strong SQL capability. Hands-on experience building data pipelines, APIs and backend services. Solid understanding of cloud platforms (Azure/GCP) and Bash scripting. Advanced Docker knowledge, including storage, volumes and permissions. Strong grounding in software engineering principles, version control and CI/CD. Ability ...

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 ...

real-time and bi-directional communication protocols and patterns (eg. WebSockets, SSE) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: Some experience ...

public APIs You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps, CI/CD practices and Cloud infrastructure (they use GCP but AWS experience is also fine) You have some experience with front end work using React (or similar) You're comfortable in a fast paced ...

mentor a small engineering team Architect and build scalable integrations across the e-commerce ecosystem Develop new features and infrastructure using Node.js, React, JavaScript, GCP Own and contribute to the technical roadmap Maintain high code quality, performance, and reliability Communicate effectively with both technical and non-technical stakeholders Implement data ...

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 ...

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 ...

public APIs You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps, CI/CD practices and Cloud infrastructure (they use GCP but AWS experience is also fine) You have some experience with front end work using React (or similar) You're comfortable in a fast paced ...

control, and system design Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes) Solid understanding of ML fundamentals (model training, evaluation, common architectures) Desired Skills (Bonus Points) Experience with MLOps tooling (MLflow ...

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. ...

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 security solutions for an enterprise across business verticals Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ ...

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 ...

first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel) Applied AI Architecture: You have built complex applications using Foundation Models/LLMs. You understand context window ...

with Java (essential) and Python Familiarity with databases, (e.g. SQL Server, Postgres) Experience with developing, testing, or deploying with cloud providers (e.g. AWS, GCP, Azure) Excellent problem-solving skills and clean coding habits Prior experience in finance, or high-performance environments Apply now! If you don't hear back ...

experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement ...

teams, with a strong servant-leadership approach Deep knowledge of cloud-native infrastructure, including: Kubernetes, Identity & Access Management (IAM), Public cloud environments (GCP and/or AWS), Managed databases Strong experience designing and maintaining CI/CD pipelines and GitOps workflows Proven ability to make pragmatic technical decisions ...

Data engineering experience such as pipelines and analytics Experience integrating LLMs, including prompt design and understanding model capabilities Deeper cloud experience, especially with GCP Experience with Encore, though this is easy to pick up Ways of Working Ownership mindset with comfort taking ideas from rough outline to implementation Execution ...