AI/ML Engineer
Role overview
Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management.
Our client is expanding its AI Core group and is looking for a Senior or Staff AI & ML Engineer in the UK. This is hands-on, build-focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi-agent systems, retrieval-augmented generation pipelines, anomaly detection, fine-tuned models, and the real-time inference layer that serves them.
If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat.
Responsibilities
- check_circle Building and shipping generative AI features end to end: from model selection and fine-tuning through to the inference path that serves them.
- check_circle Designing multi-agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost-aware at scale.
- check_circle Owning the real-time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency.
- check_circle Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability.
- check_circle Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you.
- check_circle Partnering with research and product teams to take ideas from experiment to a service customers depend on.
Basic qualifications
- 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.
Preferred qualifications
- 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.
Benefits
- check_circle Fully remote working anywhere in the UK, built around delivery rather than presence.
- check_circle A clear path to grow into staff and principal-level technical influence.
- check_circle Full support from C-Serv across the hiring process and beyond, with full-cycle accountability.
- check_circle A values-led, woman-owned delivery partner built on empathy, integrity, collaboration, and growth.
Tags & Focus Areas
About C-Serv
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