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For Companies At a Glance
- Tasks: Join our Global Analytics team to develop and optimise AI models and pipelines.
- Company: Dynamic tech company in London focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in AI engineering while working with cutting-edge technologies.
- Qualifications: 5 years of AI/ML experience and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
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 like LoRA, 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 using WebSockets 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 in Python. You have a strong commitment to clean coding standards (SOLID/DRY), modular design, and comprehensive unit testing.
AI Engineer (Fluent Portuguese & English) | London, UK employer: Chubb
Contact Detail:
Chubb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Fluent Portuguese & English) | London, UK
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and model training. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to AI engineering. Practice explaining your past projects and how you tackled challenges—confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace AI Engineer (Fluent Portuguese & English) | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your Python expertise and any relevant projects you've worked on, especially those involving model training and inference optimization.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention your fluency in Portuguese and English, as it’s key for this position!
Showcase Your Projects: If you've worked on any AI projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing real-world applications of your skills, especially if they involve LLMs or production-grade solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining the StudySmarter team!
How to prepare for a job interview at Chubb
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and techniques in AI, especially those related to model training and fine-tuning. Be ready to discuss your experience with Large Language Models and how you've adapted them for specific tasks.
✨Showcase Your Python Skills
Since Python is crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, maintainable code that adheres to best practices like SOLID and DRY.
✨Understand Inference Optimization
Familiarise yourself with concepts like TTFT, quantization, and caching strategies. Be prepared to explain how you've optimised inference pipelines in past projects and the impact it had on performance.
✨Communicate Effectively
This role requires collaboration with various stakeholders, so practice articulating complex technical concepts in simple terms. Think about examples where you've successfully bridged the gap between technical and commercial requirements.