Company Overview
Multiverse Computing is a fast-growing deep‑tech company founded in 2019, recognized by CB Insights as one of the 100 most promising AI companies globally. It is the largest quantum software company in the EU, with 250+ employees worldwide delivering advanced AI and quantum solutions to industries such as finance, energy, manufacturing, telecom and industrials.
Role
Solutions Architect – Pre‑sales Team (London, UK). The role bridges the gap between our technology and customers’ needs, crafting innovative, scalable, and robust AI‑powered solutions.
Key Requirements
- Previous experience in a technical partner pre‑sales or consulting role with a heavy emphasis on partner and customer‑facing interactions (e.g., Solutions Architect, Sales Engineer, Implementation Consultant).
- Excellent communication and presentation skills; ability to interface with technical and non‑technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; ability to run hands‑on product demos independently.
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on‑premise, and hybrid deployment models.
- Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.
- Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).
- Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).
- Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).
- Hands‑on coding skills in Python, SQL, 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.
Preferred Qualifications
- Experience with Computer Vision models, Speech models, Vision‑Language models, and other modalities.
- Experience with AI model optimization, quantization, or deployment to edge devices.
- Hands‑on experience designing RAG pipelines and/or multi‑agent systems.
- 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.
Location & Travel
Applicants must have legal authorization to work in the United Kingdom and must be available to travel as required.
Perks & Benefits
- Equal pay guaranteed.
- Signing bonus.
- Relocation package (if applicable).
- Eligibility for educational budget according to internal policy.
- Hybrid opportunity.
- Flexible working hours.
- Language classes and discounted lunch options.
- High‑paced, cutting‑edge environment.
- Career development plan; opportunities to learn and teach.
Equal Opportunity Statement
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
