Senior AI Infra Engineer - ML Platform & GPU Systems

Salient Group; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Equity grant

Job summary

Salient Group is hiring for a Member of Technical Staff focusing on AI infrastructure / ML platform in London. The role involves building a research platform that connects models, compute and data with scientists, enabling fast, reproducible experiments.

You will own GPU infrastructure for training and inference, design scalable data pipelines, and productionise research workflows. Hybrid London working is offered with meaningful equity in a well-funded environment.

Qualifications

• Proficient Python and strong software engineering fundamentals.
• Experience building ML infrastructure, ML platforms, MLOps or distributed systems in production.
• Understanding of modern ML lifecycle: data, training, evaluation, deployment, inference and monitoring.
• Experience with GPU workloads and performance/reliability challenges.
• Experience with containerisation and orchestration (Docker, Kubernetes).
• Strong knowledge of cloud infrastructure and Infrastructure-as-Code.
• Experience designing reliable data pipelines, APIs and distributed services.
• Ability to reason from first principles about requirements, scale and trade-offs.

Responsibilities

• Build the research platform connecting models, compute, data and scientific workflows for reproducible experiments.
• Own AI infrastructure: GPU training and inference with emphasis on scheduling, latency, throughput and cost.
• Develop scalable data pipelines for ingesting and serving scientific data.
• Productionise research: move ideas from notebooks to robust systems without excessive overhead.
• Improve model serving by profiling and optimizing inference workloads.

Skills

Python

ML infrastructure

GPU workloads

Docker

Kubernetes

Cloud IAC

Distributed systems

Tools

PyTorch

TensorRT

Job description

Salient Group is hiring for a Member of Technical Staff focusing on AI infrastructure / ML platform in London. The role involves building a research platform that connects models, compute and data with scientists, enabling fast, reproducible experiments.

You will own GPU infrastructure for training and inference, design scalable data pipelines, and productionise research workflows. Hybrid London working is offered with meaningful equity in a well-funded environment.