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- Tasks: Design and build production systems while analysing data processing pipelines.
- Company: Leading consulting firm in Greater London with a focus on AI initiatives.
- Benefits: Competitive compensation and growth opportunities in a collaborative environment.
- Why this job: Join a dynamic team and drive impactful AI projects using cutting-edge technology.
- Qualifications: Strong Python skills and experience with LLMs and data science tools.
The predicted salary is between 36000 - 60000 £ per year.
A leading consulting firm in Greater London seeks an AI / ML Engineer to drive AI initiatives focusing on practical software engineering with Python.
Responsibilities include:
- Designing and building production systems
- Analyzing data processing pipelines
- Working across real-time data streams
Ideal candidates have robust Python skills and experience with LLMs, data science tools, and web frameworks. This role offers competitive compensation and growth opportunities in a collaborative environment.
AI/ML Engineer — Production-Grade LLM & Data Systems employer: proSapient
Contact Detail:
proSapient Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer — Production-Grade LLM & Data Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving LLMs and data processing. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data systems. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI/ML Engineer — Production-Grade LLM & Data Systems
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real projects, especially in building production systems or working with data processing pipelines.
Talk About Your Experience with LLMs: If you've worked with large language models, let us know! Share specific examples of how you've implemented them in your previous roles, as this is a key part of the job we're offering.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you're a great fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at proSapient
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any frameworks or libraries you've used. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Showcase Your LLM Experience
Prepare to talk about your experience with large language models (LLMs). Have specific examples ready that highlight how you've implemented LLMs in past projects. This will show your potential employer that you have the practical knowledge they’re looking for.
✨Understand Data Processing Pipelines
Familiarise yourself with data processing pipelines and be prepared to discuss how you've designed or improved them in previous roles. Being able to articulate your thought process and the impact of your work will impress the interviewers.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions about the company's AI initiatives and team dynamics. This not only shows your interest but also helps you gauge if the company is the right fit for you.
