10 of 10 Remote/Hybrid GCP Jobs in Essex

/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 ...

Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. Bachelor ...

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 ...

infrastructure). Deep understanding of data architecture principles for relational, NoSQL, and cloud-based data stores. Strong familiarity with modern data platforms (AWS, Azure, GCP), data modelling tools, and integration patterns. Experience assessing existing architectures and making recommendations for improvements. Knowledge of data governance, data standards, interoperability, compliance, and ethics ...

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 ...

Required Skills and Experience Proven experience managing full systems lifecycles, including the Software Development Lifecycle Strong knowledge of cloud platforms (Azure essential; AWS or GCP beneficial) Expertise in infrastructure, networking, security, and hybrid environments Excellent communication and stakeholder management skills What We Offer Hybrid working arrangement requiring ...

Alliance partners Strong Client focus and commitment to continuous improvement Strong strategy, research, analytical and negotiation skills Strong knowledge and relationships with hyperscalers (AWS, GCP, Azure) Ability to proactively network and establish effective working relationships Excellent Presentation and communication skills - both written and verbal Attention to detail ...

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 ...