AI Engineer (Portuguese & English)

Salary: £60,000 - 100,000 per year Requirements: • We require 5+ years in AI/ML engineering with a documented history of moving complex models from research into production. • We require deep proficiency in Python, with a strong commitment to clean coding standards, modular design, and comprehensive unit and integration testing. • We require hands-on experience with LLM training cycles, parameter-efficient fine-tuning (PEFT), and sophisticated prompt engineering. • We require experience with high-performance inference servers such as vLLM, TGI, or Triton, and an understanding of how to optimize models for GPU deployment. • We require comfort working in Linux-based environments and proficiency in managing containerized workloads and automated CI/CD pipelines. • We require experience building production-ready Retrieval-Augmented Generation systems, including vector database management and semantic search optimization. • We require fluency in Portuguese and English. • Preferred: experience in the insurance or financial services sector. • Preferred: deep knowledge of GPU architecture, CUDA, and hardware-level performance optimization. • Preferred: familiarity with Document Intelligence frameworks, including OCR, layout analysis, and multimodal extraction. Responsibilities: • We will lead the adaptation of Large Language Models for domain-specific tasks using techniques such as LoRA, QLoRA, and PEFT. • We will architect and optimize inference pipelines to minimize TTFT and maximize throughput, including quantization, caching strategies, and efficient batching. • We will build and maintain real-time AI pipelines using WebSockets and SSE for low-latency delivery for voice and text applications. • We will deploy and orchestrate models within containerized microservice architectures using Docker and Kubernetes, ensuring monitoring, security, and scalability. • We will work closely with Business Analysts and internal stakeholders to bridge commercial requirements and technical implementation. Technologies: • AI • Architect • CI/CD • CUDA • Docker • Fine-tuning • Hardware • Kubernetes • LLM • Linux • Python • Security • vLLM • MLOps • RAG More: We are seeking an AI Engineer to join our Global Analytics team in London. This role focuses on the end-to-end lifecycle of production-grade AI, from training and fine-tuning specialized models to architecting high-performance inference pipelines. We value AI as a rigorous engineering discipline and expect solutions to be built for reliability, low latency, and global scale. We offer a competitive salary and pension scheme, discretionary bonus scheme, 25 days annual leave plus the ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, subsidised gym membership, comprehensive learning and development offerings, and an Employee Assistance Program. Our core values are integrity, client focus, respect, excellence, and teamwork, and we are committed to an ethical, collaborative, supportive, and inclusive working environment. last updated 34 week of 2026