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- Tasks: Build and optimise AI systems using cutting-edge machine learning models.
- Company: Leading UK investment firm with a focus on innovation and diversity.
- Benefits: Hybrid work model, competitive salary, and a supportive environment.
- Why this job: Join a dynamic team and make a real impact in the AI space.
- Qualifications: Strong Python skills and experience with machine learning frameworks.
- Other info: Collaborate with talented data scientists and engineers for career growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading investment company in the UK is seeking a Machine Learning Engineer to develop efficient AI systems. The role focuses on building and optimizing machine learning models and algorithms, requiring strong Python skills and experience with various ML frameworks. This position is hybrid, requiring office attendance three days a week. Ideal candidates will collaborate closely with data scientists and engineers to enhance machine learning capabilities. The company values diversity and provides a supportive work environment.
GenAI ML Engineer: Production Systems & MLOps in Manchester employer: Vanguard
Contact Detail:
Vanguard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI ML Engineer: Production Systems & MLOps in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. Building connections can give us the inside scoop on job openings and company culture.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is a great way to demonstrate your Python prowess and familiarity with ML frameworks to potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your past experiences. We recommend practicing coding challenges to sharpen your problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace GenAI ML Engineer: Production Systems & MLOps in Manchester
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 past projects, especially in building and optimising machine learning models.
Tailor Your Experience: When writing your application, focus on your experience with various ML frameworks. We love seeing how you've tackled challenges and what tools you've used to enhance your machine learning capabilities.
Collaborate Like a Pro: Since this role involves working closely with data scientists and engineers, share examples of your collaborative projects. We appreciate candidates who can demonstrate teamwork and effective communication.
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 any important updates from our team!
How to prepare for a job interview at Vanguard
✨Know Your Python Inside Out
Since strong Python skills are a must for this role, make sure you brush up on your Python knowledge. Be prepared to discuss your experience with libraries like NumPy, Pandas, and TensorFlow, and maybe even solve a coding challenge during the interview.
✨Familiarise Yourself with ML Frameworks
The job requires experience with various ML frameworks, so take some time to review the most popular ones like Scikit-learn, Keras, or PyTorch. Be ready to explain how you've used these frameworks in past projects and the impact they had on your work.
✨Showcase Your Collaboration Skills
This position involves working closely with data scientists and engineers, so be prepared to discuss examples of successful teamwork. Highlight any projects where you collaborated effectively, focusing on communication and problem-solving.
✨Embrace Diversity and Inclusion
The company values diversity, so it’s important to demonstrate your understanding and appreciation of different perspectives. Share experiences that showcase your ability to work in diverse teams and how it has enriched your professional journey.
