AI Engineer (Fluent in Mandarin & English)

Chubb European Group Ltd.; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work

Private Medical cover

Employee Share Purchase Plan

Life Assurance

Gym membership

Learning & development

Employee Assistance

Job summary

Chubb European Group Ltd. in London seeks an AI Engineer to own end-to-end AI production pipelines, from training LoRA/PEFT models to high-performance inference delivery for voice and text applications.

The role emphasizes engineering rigor, maintainable Python, and scalable solutions within containerized microservices, leveraging Docker/Kubernetes and modern CI/CD practices.

Qualifications

• 5+ years in AI/ML engineering with production experience.
• Strong Python coding standards (SOLID/DRY) and testing.
• Hands-on experience with LLM training cycles and PEFT.
• Experience with high-performance inference servers (vLLM/TGI/Triton).
• Proficient in Linux and containerized workloads with CI/CD.

Responsibilities

• Lead LLM adaptation for domain tasks using LoRA/QLoRA/PEFT.
• Architect and optimize inference pipelines for low TTFT and high throughput.
• Build real-time AI pipelines using WebSockets and SSE for voice/text apps.
• Deploy and monitor models in Docker/Kubernetes-based microservices.
• Collaborate with analysts and stakeholders to align business needs with tech solutions.

Skills

AI/ML engineering

Python

LLM training

Inference optimization

MLOps

Docker/Kubernetes

Linux

RAG

Tools

vLLM

TGI

Triton

Docker

Kubernetes

Job description

London, United Kingdom

Job Description

Position Overview

We are seeking an AI Engineer to join our Global Analytics team in London. This role is focused on the end-to-end lifecycle of production-grade AI, from training and fine-tuning specialized models to architecting high-performance inference pipelines.

The ideal candidate views AI as a rigorous engineering discipline. Beyond building models, you will be responsible for writing high-quality, maintainable Python code and ensuring that every solution—whether a voice agent or a document processor—is built for reliability, low latency, and global scale.

Key Responsibilities

• Model Training & Fine-Tuning: Lead the adaptation of Large Language Models (LLMs) for domain-specific tasks using techniques likeLoRA, QLoRA, and PEFT to balance performance with resource efficiency.
• Inference Optimization: Architect and optimize inference pipelines to minimize TTFT (Time to First Token) and maximize throughput. This includes implementing quantization, caching strategies, and efficient batching.
• Production Engineering: Build and maintain real-time AI pipelines usingWebSockets and SSE, ensuring seamless low-latency delivery for voice (ASR/TTS) and text applications.
• Architecture & MLOps: Deploy and orchestrate models within containerized microservice architectures (Docker/Kubernetes), ensuring robust monitoring, security, and scalability.
• Collaborative Delivery: Work closely with Business Analysts and internal stakeholders to bridge the gap between commercial requirements and technical implementation.

Qualifications

Technical Requirements

• Professional Experience: 5+ years in AI/ML engineering with a documented history of moving complex models from research into production.
• Python Mastery: Deep proficiency inPython. You have a strong commitment to clean coding standards (SOLID/DRY), modular design, and comprehensive unit/integration testing.
• Generative AI Deep Dive: Hands-on experience with LLM training cycles, parameter-efficient fine-tuning (PEFT), and sophisticated prompt engineering.
• Inference Stack: Experience with high-performance inference servers (e.g., vLLM, TGI, or Triton) and an understanding of how to optimize models for GPU deployment.
• Infrastructure: Comfortable working in Linux-based environments and proficient in managing containerized workloads and automated CI/CD pipelines.
• Advanced RAG: Experience building production-ready Retrieval-Augmented Generation systems, including vector database management and semantic search optimization.

Preferred Qualifications

• Experience in the insurance or financial services sector.
• Deep knowledge ofGPU architecture, CUDA, and hardware-level performance optimization.
• Familiarity with Document Intelligence frameworks (OCR, layout analysis, and multimodal extraction).
• MUST be fluent in Mandarin OR Cantonese and English

We offer in return!

• Competitive salary & pension scheme
• discretionary bonus scheme
• 25 days annual leave plus ability to purchase 5 additional days
• hybrid working options
• Private Medical cover
• Employee Share Purchase Plan
• Life Assurance
• Subsidised gym membership
• Comprehensive Learning & development offerings
• Employee Assistance program

Integrity. client focus. respect. excellence. teamwork

Our core values dictate how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and supportive.

Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.

We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.

Job Info

• Job Identification 34325
• Job Schedule Full time
• Regular or Temporary Regular
• Job Category Analytics Engineering
• Business Unit United Kingdom
• Legal Employer Chubb European Group SE UK Branch