ML Platform Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
ML Platform Engineer (AI): Building and operating the infrastructure powering AI products, from model training and evaluation to deployment, inference, observability, and continuous improvement, with an accent on reliability, scalability, and cost efficiency. Focus on designing high-throughput, low-latency model serving systems, developing reproducible ML pipelines, and turning evolving model requirements into production-ready platforms.
Location: Hybrid in London, United Kingdom
Company
's A1 Engineering team is building a proactive AI assistant for conversations, errands, organization, and everyday workflows.
What you will do
- Build and operate ML infrastructure and platforms for AI products.
- Design systems for model training, evaluation, deployment, inference, and experimentation.
- Optimize model serving and inference infrastructure for high throughput and low latency.
- Develop reliable data, training, evaluation, release, and continuous-improvement pipelines.
- Build evaluation, benchmarking, observability, monitoring, tracing, and alerting infrastructure.
- Collaborate with AI engineers, researchers, and product engineers to deliver scalable production systems.
Requirements
- Strong software engineering fundamentals and experience building production systems.
- Experience with ML infrastructure, platforms, or production machine learning systems.
- Experience with model deployment, inference, evaluation, or data pipelines.
- Strong understanding of distributed systems and system reliability.
- Ability to write clean, maintainable, production-quality code.
- Ability to work in a hybrid role based in London, United Kingdom.
Culture & Benefits
- Fast-moving environment focused on ownership, experimentation, and continuous improvement.
- Work closely with AI engineers, researchers, and product teams.
- Build reusable ML platform primitives instead of duplicating infrastructure across products.
- Improve AI systems across reliability, scalability, latency, throughput, and cost efficiency.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →