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- Tasks: Contribute to AI/ML projects using Python and shape innovative AI-powered products.
- Company: Dynamic decision-making consultancy based in Greater London.
- Benefits: Competitive pay, flexible work options, and growth opportunities.
- Why this job: Join a fast-paced team and make an impact in the AI/ML field.
- Qualifications: Strong programming skills in Python and experience with LLMs and data analysis.
- Other info: Collaborative environment with exciting career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A decision-making consultancy in Greater London is looking for an AI/ML Engineer to contribute to AI/ML initiatives focusing on software engineering using Python. Ideal candidates will possess strong programming skills, a solid foundation in LLMs, and experience in data processing and analysis. This role offers competitive compensation, flexibility, and opportunities for growth within a cross-functional, fast-paced team that shapes AI-powered products.
AI/ML Engineer (Python) — Production ML & LLMs employer: proSapient
Contact Detail:
proSapient Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer (Python) — Production ML & LLMs
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to LLMs and data processing. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding of AI/ML concepts. We love candidates who can discuss their thought process and problem-solving strategies, so be ready to dive deep!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who want to shape AI-powered products with us.
We think you need these skills to ace AI/ML Engineer (Python) — Production ML & LLMs
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your programming prowess in Python. We want to see how you've used it in past projects, especially in AI/ML contexts. Don't just list your skills; give us examples of how you've applied them!
Talk About Your LLM Experience: If you've worked with large language models, let us know! Share specific projects or challenges you've tackled. This will help us understand your depth of knowledge and how you can contribute to our initiatives.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity over fluff. Make sure your passion for AI/ML shines through without unnecessary jargon or lengthy explanations.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 libraries like NumPy, Pandas, and TensorFlow, as well as any projects you've worked on that showcase your programming prowess.
✨Showcase Your LLM Knowledge
Since the role focuses on LLMs, prepare to talk about your understanding of large language models. Be ready to explain how they work, their applications, and any hands-on experience you have with them. This will demonstrate your expertise and enthusiasm for the field.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and knowledge of data processing and analysis. Practice coding challenges and be prepared to walk through your thought process during the interview. This will help you stand out as a strong candidate.
✨Emphasise Team Collaboration
This role is part of a cross-functional team, so highlight your experience working collaboratively. Share examples of how you've successfully contributed to team projects in the past, and express your eagerness to work in a fast-paced environment where teamwork is key.
