9 of 9 GCP Jobs in Portsmouth

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 ...

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 ...

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 ...

streamline repetitive tasks. Collaborate with developers to help troubleshoot basic deployment and build issues. Assist in configuring cloud services (AWS/Azure/GCP) for efficient resource usage and scaling. Understand the basics of configuration management using tools like Ansible or Chef. Requirements Currently pursuing (or recently completed) B.Tech/… detail. Good written and verbal communication skills. Nice to Have (Bonus) Exposure to Python or Bash scripting. Knowledge of cloud platforms (AWS, Azure, GCP). Basic understanding of containerization (Docker). Understanding of CI/CD concepts or Infrastructure-as-Code principles. What You'll Gain Practical exposure to modern ...

Strong experience with modern data platforms and architectures Comfortable working in a client-facing data role Experience across cloud and data tools (Azure, AWS, GCP, Databricks, Snowflake, etc.) Confident communicator with both technical and non-technical stakeholders Passion for data & AI and emerging technologies The details: Location: Bristol - Once ...

when to refactor. You prioritize \"boring\" reliability for mission-critical data. Our Tech Direction We currently utilize Node.js, Python, MongoDB, and AWS/GCP, with a Flutter frontend. As a founding member, you will have a decisive vote on our database strategy (e.g., Postgres/pgvector), queue management, and stack ...

constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything … LLMs/applied NLP Strong SQL skills and experience with structured & semi-structured data Experience with FastAPI, REST APIs, and microservices Cloud experience (Azure, GCP, or AWS) Familiarity with CI/CD and modern DevOps workflows Highly Desirable Graph data, network analysis, or GNNs Spatial/geospatial data experience Containerisation ...

maintaining scalable APIs and backend services in Python using FastAPI Contributing to architectural decisions as the platform evolves and transitions from Azure to GCP Ensuring strong integration between frontend and backend with a focus on performance and maintainability Taking ownership of features from design through to deployment What … Comfortable working across the full stack and switching between frontend and backend problem solving Experience with MongoDB, Redis, and cloud platforms such as Azure, GCP, or AWS Experience working with data heavy or AI driven products is a bonus A proactive engineer who enjoys working in a small, fast moving ...

Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. You'll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture … products. What You'll Be Doing Design, develop, and deploy advanced machine learning and deep learning models into production. Architect scalable LLMOps pipelines on GCP/Vertex AI, including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows ...