16 of 16 GCP Jobs in Somerset

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 ...

model behaviour, limitations, evaluation techniques, and real-world deployment challenges. Cloud-Native & Platform Skills Proven experience designing and deploying distributed systems on AWS, GCP, or Azure . Hands-on expertise with Docker, Kubernetes , and modern CI/CD pipelines. Comfortable working in regulated or high-compliance environments. Strong Engineering Mindset ...

operating Red Hat OpenShift in enterprise environments Solid Kubernetes expertise, including networking, storage, and ingress Experience running OpenShift on cloud platforms (AWS, Azure, or GCP) and on-prem Strong Linux and Red Hat ecosystem experience Experience working within the NHS or UK central government is essential Understanding of public sector ...

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 ...

distributed systems experience • Database experience (PostgreSQL, MySQL, MongoDB, etc.) • React experience (commercial or strong hands-on) • Knowledge of Docker/Kubernetes • Exposure to AWS, GCP, or Azure Contract Details: • £400/day – Outside IR35 • 6 months (likely extension) • Remote (UK) • Start ASAP If this sounds like you (or someone ...

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 ...

genuine interest in AI and emerging technologies Nice to Have Exposure to NLP, computer vision, or deep learning Cloud experience (AWS, Azure, or GCP) Internship, placement year, or academic project experience in AI or software engineering What's on Offer Salary between £35k – £40k Opportunity to work with the fastest ...

both web and mobile app environments. Key Skills: Node.js, TypeScript, BFF experience essential React.js & React Native Terraform, K8's, Docker Cloud experience (ideally GCP) Key details: Up to £550 per day, Outside IR35 Initial 3 months (extensions likely) Interviews Friday/Monday January 5th start date This is an exciting ...

onwards/Exchange/Office 365/Active Directory - Supporting Storage and Networking - Cloud platform support across MS Azure/AWS/GCP - SCCM/MS Enterprise Server/DHCP - NetApp - Working within a data centre environment - Microsoft Powershell - Linux Servers - Must be eligible for SC/DV clearance (preferable ...

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 ...

GCP Cloud Engineering, GCP DevOps & Infra Terraform/Terraform Cloud (IaaC) Python Scripting. Harness, Jenkins, GitHub Google Kubernetes (GKE), Container, Istio Service Mesh GCP Organisation Policy, Custom Org Policy (Policy as a Code) - Sentinel/OPA GCP and Terraform Certified Good to have experience working in an IDE Platform ...

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 ...