AI/ML Engineer

C-Serv

AI/ML Engineer working on generative AI features at one of the recognized names in application security. Hands-on role focused on developing reliable systems under real constraints.

Posted 6/29/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping generative AI features, with a strong focus on real-time inference optimization using NVIDIA Triton and TensorRT. Proficient in Python and FastAPI for developing reliable microservices, while mentoring and leading technical teams in high-performance environments.

Highest-signal resume keywords

Generative AI ExpertiseReal-Time Inference OptimizationPython EngineeringMicroservices ArchitectureDocker and Kubernetes

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Applicant Tracking System Keywords

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Hard Skills

Generative AIPythonFastAPINVIDIA TritonTensorRTAnomaly DetectionFine-TuningDockerKubernetesBig-Data Tooling

Soft Skills

MentoringTechnical Leadership

Tools & Technologies

FastAPIDockerKubernetesNVIDIA TritonTensorRTSparkDatabricksSnowflake

Industry Keywords

MicroservicesReal-Time InferenceLarge-Scale Distributed SystemsMLOpsHigh-Reliability Domains

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerKubernetesMicroservicesPythonSpark

About the role

Key responsibilities & impact

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

What you’ll need

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 have
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

Comp & perks

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.