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- Tasks: Lead AI model training and fine-tuning while optimising inference pipelines for performance.
- Company: Join a dynamic Global Analytics team in London focused on cutting-edge AI solutions.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in AI engineering while collaborating with talented professionals.
- Qualifications: Fluency in Spanish and English, plus experience in AI and Python coding.
- Other info: Be part of a forward-thinking company that values innovation and teamwork.
The predicted salary is between 36000 - 60000 £ 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.
AI Engineer (Fluent in Spanish & English) in London employer: Chubb Ltd.
Contact Detail:
Chubb Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Fluent in Spanish & English) in London
✨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 and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving model training and inference optimisation. This is your chance to demonstrate your expertise in Python and AI engineering.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practice explaining your thought process clearly, as communication is key when collaborating with teams.
✨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 in Spanish & English) in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with AI and Python. We want to see how you've tackled similar challenges in the past, so don’t hold back on those details!
Tailor Your Application: Make your application stand out by tailoring it to our job description. Use keywords from the posting, especially around model training and inference optimization, to show us you’re the perfect fit for the role.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Avoid jargon unless it’s relevant, and make sure we can easily understand your experience and skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Chubb Ltd.
✨Brush Up on Your AI Knowledge
Make sure you’re well-versed in the latest AI trends and technologies, especially those related to model training and fine-tuning. Familiarise yourself with techniques like LoRA and QLoRA, as well as inference optimisation strategies. This will show your passion for the field and your readiness to tackle the challenges of the role.
✨Showcase Your Coding Skills
Since writing high-quality Python code is a key part of the job, be prepared to discuss your coding experience. Bring examples of your work or even be ready for a coding challenge. Highlight how you ensure your code is maintainable and efficient, especially in production environments.
✨Demonstrate Your Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous projects, particularly around building and optimising AI pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing how you approached problems and what the outcomes were.
✨Communicate Effectively in Both Languages
As fluency in both Spanish and English is essential, practice articulating your thoughts clearly in both languages. Be ready to switch between them if needed during the interview. This will not only demonstrate your language skills but also your ability to communicate complex technical concepts to diverse stakeholders.