At a Glance
- Tasks: Design and implement cutting-edge AI systems using ML engineering and Python.
- Company: Leading professional services firm in Greater London with a focus on innovation.
- Benefits: Hybrid working model, extensive training, health resources, and competitive perks.
- Why this job: Join a dynamic team and make a real impact in the world of AI and NLP.
- Qualifications: Experience in AI & ML engineering and proficiency in Python required.
- Other info: Unique opportunity for growth in a fast-paced, supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading professional services firm in Greater London seeks an experienced AI & ML Engineer to design and implement production-grade AI systems. In this role, you will leverage your expertise in ML engineering and Python to develop transformative AI capabilities, supporting audit quality and insights.
The position offers a hybrid working model and various benefits, including extensive training opportunities and health resources, making it a unique chance to thrive in a dynamic environment.
AI & ML Engineer - Production AI & NLP employer: RSM
Contact Detail:
RSM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & ML Engineer - Production AI & NLP
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving production-grade AI systems. 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 your technical knowledge and soft skills. Practice common interview questions related to AI and ML, and be ready to discuss how you've applied your expertise in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, you'll be the first to know about new opportunities tailored just for you!
We think you need these skills to ace AI & ML Engineer - Production AI & NLP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML engineering. We want to see how your skills in Python and production-grade systems can shine through, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI and NLP, and how you envision contributing to our mission of enhancing audit quality with transformative AI capabilities.
Showcase Your Projects: If you've worked on any cool AI or ML projects, make sure to mention them! We love seeing practical examples of your work, especially if they relate to production systems or innovative solutions in the field.
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 about the process!
How to prepare for a job interview at RSM
✨Know Your AI & ML Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss your previous projects, especially those involving production-grade systems. They’ll want to see how you’ve applied your skills in real-world scenarios.
✨Python Proficiency is Key
Since Python is a crucial part of the role, be prepared to demonstrate your coding skills. You might be asked to solve problems or even write code during the interview. Practise common algorithms and data structures in Python to show off your expertise.
✨Understand Their Business
Research the firm and understand how AI can enhance audit quality and insights. Think about how your skills can contribute to their goals. This will not only impress them but also help you tailor your answers to align with their needs.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team, projects, and the hybrid working model. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it’s a great way to engage with your interviewers!