Forward Deployed Engineer - ML (London)

Location: London; in-person work required

Company

hirify.global is building an infrastructure layer for AI workloads, providing instant GPU access, fast container starts, native storage, low-latency inference, model fine-tuning, and production-ready sandboxes.

What you will do

• Architect and optimize production AI workloads on hirify.global for leading AI companies and foundation model labs.
• Work on LLM serving, model training including SFT and RLHF, audio pipelines, scientific computing, and other demanding workloads.
• Conduct technical demos, experiments, and proofs of concept that demonstrate hirify.global’s performance advantages.
• Contribute to open-source projects and publish technical content across the AI stack.
• Collaborate with product and sales teams as both an engineer and product stakeholder.
• Build trusted relationships with CTOs, engineering leaders, and ML leads working on frontier AI.

Requirements

• 2+ years of professional ML engineering experience, ideally including inference optimization, model training, GPU programming, or ML infrastructure.
• Familiarity with model-serving toolchains such as vLLM or SGLang and training toolchains such as slime, verl, or TRL; deep expertise in at least one toolchain is sufficient.
• Strong communication skills, including the ability to explain technical architecture to engineering teams and articulate tradeoffs to technical leadership.
• Genuine interest in working directly with customers and solving their technical problems.
• Willingness to work in person in London.

Nice to have

• Side projects, open-source contributions, or published work in ML or systems performance.

Culture & Benefits

• Work directly with category-defining AI companies and foundation model labs.
• Collaborate with software engineers, computational scientists, ML engineers, former founders, researchers, and experienced engineering and product leaders.
• Opportunity to contribute to open-source projects and publish technical content.
• Full-time, in-person work in London.