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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid/Senior Solution Architect - UK - **Company:** Multiverse Computing - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Architecture, Python (Programming Language), Language Modeling, Tensorflow, Azure Machine Learning, Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Scikit Learn, Kubernetes, Information Technology, Low Latency, ONNX (Open Neural Network Exchange) Format, HuggingFace, Machine Learning Operations, Hardware Infrastructure, Software Coding, Docker - **Published:** September 18, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-6F4379C5174DE0B4FD/ ## About the Role * Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (ie Solutions Architect, Sales Engineer, Implementation Consultant, Forward Deployment Engineer) * Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently. * Knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (eg, SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models. * Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, safetensors, HuggingFace model hub). * Understanding of benchmarking and LLM performance evaluation (accuracy, latency, throughput). * Hands-on coding skills in Python, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). * Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. * Must be available to travel as needed for meetings, conferences, and project requirements. * Languages: English., * Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities. * Experience with AI model optimization, quantization, or deployment to edge devices. * Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (eg, Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. * Hands-on experience designing RAG pipelines and/or multi-agent systems * Understanding of sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). * Experience designing data architectures (batch & streaming) and working with big data technologies. * Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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