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- Tasks: Design and develop impactful ML models for AI adoption and mentor junior colleagues.
- Company: Leading technology firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, career growth, and the chance to work on cutting-edge security solutions.
- Why this job: Make a significant impact on AI and security while advancing your skills.
- Qualifications: Strong Python skills and experience with AWS ML services and model deployment.
- Other info: Join a dynamic team and lead exciting experimentation cycles.
The predicted salary is between 42000 - 84000 £ per year.
A leading technology firm in Greater London is looking for an experienced Machine Learning Engineer to design and develop ML models impacting AI adoption. The role involves leading experimentation cycles, transitioning models to production, and mentoring junior colleagues.
Candidates should have strong Python skills and a solid background in AWS ML services, along with experience in deploying ML models. This position offers an opportunity to make a significant impact on security solutions in the UK.
Machine Learning Engineer - GenAI & Production ML employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - GenAI & Production ML
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning Engineers. 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 ML projects, especially those involving Python and AWS. 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 common ML concepts and algorithms. Be ready to discuss your past experiences, especially around transitioning models to production and mentoring others. Confidence is key!
✨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 Machine Learning Engineer - GenAI & Production ML
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and experience with AWS ML services in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Machine Learning Engineer position. Mention any relevant projects or experiences that demonstrate your ability to lead experimentation cycles and mentor others.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm 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’re considered for this exciting opportunity to impact security solutions in the UK.
How to prepare for a job interview at Anson McCade
✨Know Your ML Models Inside Out
Make sure you can discuss the ML models you've worked on in detail. Be prepared to explain your design choices, the challenges you faced, and how you overcame them. This shows your depth of knowledge and experience.
✨Showcase Your Python Skills
Since strong Python skills are a must, brush up on your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures. Being able to demonstrate your coding prowess will set you apart.
✨Familiarise Yourself with AWS ML Services
Research the specific AWS ML services relevant to the role. Be ready to discuss how you've used these services in past projects, and think about how they can be applied to the company's needs. This will show that you're proactive and well-prepared.
✨Prepare for Leadership Questions
As this role involves mentoring junior colleagues, expect questions about leadership and teamwork. Think of examples where you've successfully led a project or helped others grow. This will highlight your ability to contribute to the team dynamic.
