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- Tasks: Develop and optimise machine learning models, transitioning experiments into production.
- Company: Leading tech recruitment firm focused on AI adoption.
- Benefits: Full-time contract with competitive salary and dynamic work environment.
- Why this job: Join a cutting-edge team and mentor the next generation of ML engineers.
- Qualifications: Hands-on experience in Python and strong background in model governance.
- Other info: Exciting opportunities for growth in a fast-paced AI landscape.
The predicted salary is between 36000 - 60000 £ per year.
A leading tech recruitment firm is looking for an experienced ML Engineer to develop and optimize machine learning models. This role involves transitioning experiments into production, mentoring junior colleagues, and working with AWS ML services. You should have hands-on experience in Python and a strong background in experiments and model governance. The position offers a full-time contract and a mid-senior level title in a dynamic environment focused on AI adoption.
DV-Cleared ML Engineer: Production-Ready AI & GenAI in England employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DV-Cleared ML Engineer: Production-Ready AI & GenAI in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with machine learning or AI. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best machine learning projects. Include details about how you transitioned experiments into production and any AWS ML services you've used. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML engineering questions. Be ready to discuss your hands-on experience with Python and model governance. Practising with a friend can help you feel more confident when it’s your turn to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented ML Engineers like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace DV-Cleared ML Engineer: Production-Ready AI & GenAI in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning models and AWS ML services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 this role. We love seeing enthusiasm and a personal touch.
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! We’re keen to see examples of your hands-on experience and how you’ve transitioned experiments into production.
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 from our team!
How to prepare for a job interview at Anson McCade
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be ready to explain how you've transitioned experiments into production and the challenges you faced. This shows your hands-on expertise and problem-solving skills.
✨Showcase Your Python Skills
Since Python is crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so brush up on your Python knowledge and be ready to write clean, efficient code.
✨Familiarise Yourself with AWS ML Services
Research the specific AWS ML services relevant to the job. Be prepared to discuss how you've used these tools in past projects and how they can enhance AI adoption in the company. This will show your proactive approach and technical readiness.
✨Mentorship Mindset
As mentoring junior colleagues is part of the role, think about your past experiences in guiding others. Prepare examples of how you've supported team members in their learning and development, showcasing your leadership qualities.
