Resumen del rol

AI/ML Engineer

Requisitos y responsabilidades

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What you will own

  • Building and shipping generative AI features end to end: from model selection and fine-tuning through to the inference path that serves them.
  • Designing multi-agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost-aware at scale.
  • Owning the real-time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency.
  • Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability.
  • Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you.
  • Partnering with research and product teams to take ideas from experiment to a service customers depend on.

Requirements

  • 5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others.
  • Strong, current Python engineering, with production services built and shipped (FastAPI or similar).
  • Genuine hands-on GenAI depth: LLMs, RAG, agentic or multi-agent workflows, anomaly detection, and fine-tuning (for example LoRA or PEFT).
  • Real-time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost.
  • A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability.
  • Solid grounding in Docker and Kubernetes, and large-scale distributed systems on a major cloud.
  • Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity.

Nice to haves

  • Experience with vLLM or other serving frameworks alongside Triton and TensorRT.
  • Experience in security, networking, or other high-reliability domains.
  • Big-data tooling (Spark, Databricks, Snowflake) and modern MLOps practice.

What you will get

  • A genuine build mandate inside an established AI Core team, not a proof-of-concept that never ships.
  • Fully remote working anywhere in the UK, built around delivery rather than presence.
  • Competitive salary, strong benefits, and clear scope to grow into staff and principal-level influence.
  • The backing of C-Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end.

Benefits

  • Fully remote working anywhere in the UK, built around delivery rather than presence.
  • A clear path to grow into staff and principal-level technical influence.
  • Full support from C-Serv across the hiring process and beyond, with full-cycle accountability.
  • A values-led, woman-owned delivery partner built on empathy, integrity, collaboration, and growth.
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FocoAI ML EngineeringÁrea del rol
Señal de senioritySeniorNivel del candidato
StackDocker, Kubernetes, PythonSkills principales
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