At a Glance
- Tasks: Design and implement data-driven AI solutions with a focus on scalable machine learning systems.
- Company: Leading investment company in Manchester with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on cutting-edge AI projects that make a real difference.
- Qualifications: Strong programming skills in Python and experience in building ML pipelines.
- Other info: Collaborative environment with a focus on staying current with AI trends.
The predicted salary is between 36000 - 60000 £ per year.
A leading investment company based in Manchester is seeking a skilled Machine Learning Engineer to help design and implement data-driven AI solutions. In this role, you will work closely with data scientists and engineers to develop scalable machine learning systems.
Responsibilities include:
- Building ML pipelines
- Conducting model evaluations
- Staying current with AI trends
The position offers a hybrid working model, requiring in-office presence three days a week and strong programming proficiency, especially in Python.
GenAI ML Engineer — Production-Ready AI Systems in Manchester employer: Vanguard Group, Inc.
Contact Detail:
Vanguard Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI ML Engineer — Production-Ready AI Systems in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. 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 projects, especially those involving ML pipelines and AI solutions. 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 Python skills and understanding the latest AI trends. Practice common ML interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace GenAI ML Engineer — Production-Ready AI Systems in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them in your application. We’re keen to see your hands-on experience and how you’ve tackled real-world problems using AI solutions.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Vanguard Group, Inc.
✨Know Your ML Basics
Brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation techniques, and the latest trends in AI. This will show that you’re not just a coder but someone who understands the theory behind the practice.
✨Showcase Your Python Skills
Since strong programming proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Discuss Your Experience with ML Pipelines
Be prepared to talk about your experience building ML pipelines. Share specific examples of projects where you’ve implemented these systems, the challenges you faced, and how you overcame them. This will highlight your practical experience and problem-solving abilities.
✨Stay Current with AI Trends
Research the latest developments in AI and machine learning. Being able to discuss recent advancements or tools can set you apart from other candidates. It shows your passion for the field and your commitment to continuous learning.