Remote ML Platform Engineer: Scalable AI Infrastructure

Harper Adams University; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental

Vision

Savings plan

Paid time off

Job summary

Harper Adams University is seeking a Machine Learning Platform Engineer to build and operate the infrastructure that powers AI products. You will design systems for training, evaluation, deployment, and inference, and you will optimize model serving for high throughput with low latency.

The role requires ML/AI experience and strong production software skills. You will collaborate with AI engineers, researchers, and product teams to productionize evolving models in a fully remote setting.

Qualifications

• Must have ML/AI experience and strong software engineering fundamentals.
• Experience building ML infrastructure, platforms, or production ML systems.
• Experience with model deployment, inference, evaluation, or data pipelines.
• Strong understanding of distributed systems and reliability.
• Ability to write clean, production-quality code.
• Comfortable in ambiguous, fast-moving environments.

Responsibilities

• Build and operate ML infrastructure and platforms powering AI products.
• Design systems for training, evaluation, deployment, inference, and experimentation.
• Build and optimize model serving and inference infra for high throughput and low latency.
• Improve reliability, scalability, latency, and cost efficiency of AI systems.
• Develop reliable pipelines for data prep, training, evaluation, release, and improvement.
• Create tooling that enables ML engineers and researchers to ship models faster.
• Develop evaluation and benchmarking infrastructure to measure model quality and regressions.
• Build observability, monitoring, tracing, and alerting for AI/ML workloads.
• Identify bottlenecks and improve system performance across the ML stack.
• Collaborate with AI engineers, researchers, and product teams to productionize evolving models.

Skills

ML/AI experience

Production systems

Distributed systems

Code quality

Ownership & initiative

Tools

Python

PyTorch

JAX

vLLM / ML serving infra

TensorRT-LLM

Cloud infrastructure

GPU tooling

Vector databases

Job description

Harper Adams University is seeking a Machine Learning Platform Engineer to build and operate the infrastructure that powers AI products. You will design systems for training, evaluation, deployment, and inference, and you will optimize model serving for high throughput with low latency.

The role requires ML/AI experience and strong production software skills. You will collaborate with AI engineers, researchers, and product teams to productionize evolving models in a fully remote setting.