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- Tasks: Lead an AI engineering team to create innovative machine learning solutions.
- Company: Join Chubb, a dynamic leader in the insurance industry with a focus on AI.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by developing cutting-edge AI products that solve complex challenges.
- Qualifications: 5+ years in Machine Learning, fluent in Mandarin and English, strong Python skills.
- Other info: Fast-paced environment with exciting projects and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The AI Team at Chubb is looking for a multilingual AI Engineer to join our fast-paced, high-energy team responsible for delivering bleeding edge solutions leveraging AI. This position offers the opportunity to lead an AI engineering team in delivering high quality AI products.
Major Responsibilities
- Work closely with a team of data scientists to design, build, and test machine learning models to solve complex business challenges on the Azure platform with a focus on English and non-English models.
- Research and implement state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
- Define individual tasks for the development team and track progress on a regular basis.
- Ensure high quality code that meets business objectives, quality standards, and secure web development guidelines.
- Build reusable tools to streamline the modeling pipeline and share knowledge.
- Manage project stakeholder expectations and communicate progress.
- React to shifting priorities without compromising deadlines and momentum.
Qualifications
Must have:
- 5+ years’ experience in Machine Learning (ML), with deep expertise in writing and reviewing production code in Python.
- Proficiency in Mandarin and English is essential.
- Knowledge of ML frameworks and libraries (such as TensorFlow/PyTorch), and exposure to various ML algorithms and their practical implementation in production at large scale.
- Experience with designing scalable end-to-end Machine Learning/NLP systems.
- Experience on distributed, high throughput and low latency architecture.
- Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
- Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
- Familiarity with Continuous Integration tools such as Jenkins.
Nice to have:
- Experience defining system architectures and exploring technical feasibility trade-offs is a huge plus.
- Experience in NLP feature engineering and SoTA modeling techniques, such as transformers (e.g., BERT, GPT) is a huge plus.
- Familiarity with end-to-end application development using full stack is a plus.
- Experience in P&C insurance is a plus.
AI Engineer in London employer: Chubblifefund
Contact Detail:
Chubblifefund Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and NLP. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. Practice explaining your past projects and how you tackled challenges. Confidence is key, so get comfortable talking about your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with machine learning, Python, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from work, we want to see your hands-on experience. Include links if possible, so we can check them out!
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 helps us keep everything organised – win-win!
How to prepare for a job interview at Chubblifefund
✨Know Your AI Stuff
Make sure you brush up on your machine learning concepts and frameworks like TensorFlow and PyTorch. Be ready to discuss your experience with different algorithms and how you've implemented them in production. This is your chance to show off your technical expertise!
✨Language Skills Matter
Since proficiency in Mandarin and English is essential, practice discussing your projects and technical terms in both languages. You might be asked to explain complex ideas in Mandarin, so being comfortable switching between languages will definitely give you an edge.
✨Show Your Team Spirit
The role involves working closely with data scientists and managing project stakeholders. Be prepared to share examples of how you've successfully collaborated in a team setting, defined tasks, and tracked progress. Highlighting your leadership skills will show that you're ready to take charge!
✨Be Ready for the Unexpected
In a fast-paced environment, priorities can shift quickly. Think of examples from your past where you had to adapt to changes without losing momentum. Showing that you can handle pressure and still deliver high-quality work will impress the interviewers.
