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- Tasks: Design and deploy innovative machine learning models in production.
- Company: Prominent technology firm with a focus on cutting-edge ML solutions.
- Benefits: Competitive compensation and a flexible hybrid work environment.
- Why this job: Join a team of experts and make an impact in the AI field.
- Qualifications: Over 5 years of experience in ML, strong Python skills, and a relevant degree.
- Other info: Collaborate with engineers and data scientists on large datasets.
The predicted salary is between 43200 - 72000 £ per year.
A prominent technology firm is seeking a Senior Associate, Machine Learning Engineer to contribute to innovative ML solutions. This role involves designing and deploying machine learning models in production, collaborating with engineers and data scientists, and working with large datasets.
Candidates should have over 5 years of experience, strong skills in Python, and a relevant degree. Competitive compensation and a hybrid work environment are offered.
Senior ML Engineer — Production AI & MLOps (Hybrid UK) in London employer: TWG Global
Contact Detail:
TWG Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Production AI & MLOps (Hybrid UK) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in ML or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings and you might just find the perfect Senior ML Engineer role waiting for you. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior ML Engineer — Production AI & MLOps (Hybrid UK) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and MLOps. We want to see how your skills in Python and working with large datasets align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about ML and how your background makes you the perfect fit for our team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any innovative ML solutions or projects, don’t hold back! Share links or descriptions of your work that demonstrate your expertise and creativity in deploying models in 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’re considered for this exciting opportunity with us at StudySmarter!
How to prepare for a job interview at TWG Global
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked with in detail. Be prepared to explain how you designed and deployed them, the challenges you faced, and how you overcame them. This shows your hands-on experience and problem-solving skills.
✨Brush Up on Python Skills
Since strong Python skills are a must for this role, review key libraries and frameworks relevant to machine learning, like TensorFlow or PyTorch. Be ready to demonstrate your coding abilities, perhaps even through a live coding exercise during the interview.
✨Collaborate Like a Pro
This position involves working closely with engineers and data scientists, so be prepared to discuss your teamwork experiences. Share examples of successful collaborations and how you contributed to achieving common goals. Highlight your communication skills and adaptability.
✨Showcase Your Data Handling Expertise
Working with large datasets is crucial for this role. Be ready to talk about your experience with data preprocessing, cleaning, and analysis. Discuss any tools or techniques you've used to manage and manipulate data effectively, as this will demonstrate your capability in handling real-world challenges.
