801 to 825 of 4,065 Google-Cloud-Platform Jobs

trading workflows (metals experience a strong plus). Familiarity with REST APIs, message queues (Kafka/RabbitMQ) or real-time data feeds. Exposure to cloud platforms (AWS/GCP) and infrastructure as code. Background in statistical analysis or machine learning (applied to trading workflows desirable but not required). If you’re interested please reply with an updated CV More ❯

trading workflows (metals experience a strong plus). Familiarity with REST APIs, message queues (Kafka/RabbitMQ) or real-time data feeds. Exposure to cloud platforms (AWS/GCP) and infrastructure as code. Background in statistical analysis or machine learning (applied to trading workflows desirable but not required). If you're interested please reply with an updated CV More ❯

trading workflows (metals experience a strong plus). Familiarity with REST APIs, message queues (Kafka/RabbitMQ) or real-time data feeds. Exposure to cloud platforms (AWS/GCP) and infrastructure as code. Background in statistical analysis or machine learning (applied to trading workflows desirable but not required). If you’re interested please reply with an updated CV More ❯

trading workflows (metals experience a strong plus). Familiarity with REST APIs, message queues (Kafka/RabbitMQ) or real-time data feeds. Exposure to cloud platforms (AWS/GCP) and infrastructure as code. Background in statistical analysis or machine learning (applied to trading workflows desirable but not required). If you’re interested please reply with an updated CV More ❯

trading workflows (metals experience a strong plus). Familiarity with REST APIs, message queues (Kafka/RabbitMQ) or real-time data feeds. Exposure to cloud platforms (AWS/GCP) and infrastructure as code. Background in statistical analysis or machine learning (applied to trading workflows desirable but not required). If you’re interested please reply with an updated CV More ❯

trading workflows (metals experience a strong plus). Familiarity with REST APIs, message queues (Kafka/RabbitMQ) or real-time data feeds. Exposure to cloud platforms (AWS/GCP) and infrastructure as code. Background in statistical analysis or machine learning (applied to trading workflows desirable but not required). If you’re interested please reply with an updated CV More ❯

and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams to automate CI/CD and MLOps processes using More ❯

of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯

of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯

of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯

of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain how More ❯

tools such as MLflow, 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 for production ML (Prometheus, Grafana More ❯

tools such as MLflow, 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 for production ML (Prometheus, Grafana More ❯

tools such as MLflow, 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 for production ML (Prometheus, Grafana More ❯

tools such as MLflow, 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 for production ML (Prometheus, Grafana More ❯

tools such as MLflow, 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 for production ML (Prometheus, Grafana More ❯

agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/GCP) and containerisation (Docker) Bonus points: Experience in early-stage startups or 0→1 environments. You’ve owned product – from idea to production impact Analytics experience (PostHog, Mixpanel). Terraform or More ❯

agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/GCP) and containerisation (Docker) Bonus points: Experience in early-stage startups or 0→1 environments. You’ve owned product – from idea to production impact Analytics experience (PostHog, Mixpanel). Terraform or More ❯

agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/GCP) and containerisation (Docker) Bonus points: Experience in early-stage startups or 0→1 environments. You’ve owned product – from idea to production impact Analytics experience (PostHog, Mixpanel). Terraform or More ❯

agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/GCP) and containerisation (Docker) Bonus points: Experience in early-stage startups or 0→1 environments. You’ve owned product – from idea to production impact Analytics experience (PostHog, Mixpanel). Terraform or More ❯

agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/GCP) and containerisation (Docker) Bonus points: Experience in early-stage startups or 0→1 environments. You’ve owned product – from idea to production impact Analytics experience (PostHog, Mixpanel). Terraform or More ❯

Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative and innovative work environment with awesome career growth opportunities 34 days More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center More ❯

drift. GenAI/LLMs: RAG, prompt engineering, LoRA fine-tuning, safety, evaluation. Tooling: Python, pandas/PySpark, MLflow, Weights and Biases, Docker, Kubernetes, Terraform, GitHub Actions. Cloud: AWS, GCP, Azure. Soft Skills: problem framing, stakeholder communication, technical writing. What you will bring: 3+ years building and deploying ML systems in production Strong Python and applied ML/DL experience. More ❯