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- Tasks: Design and scale production ML systems while training AI models and deploying frameworks.
- Company: Leading UK tech firm with a remote-friendly culture.
- Benefits: Competitive compensation, personal growth opportunities, and technical influence.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 4+ years in ML, strong Python skills, and experience with PyTorch and TensorFlow.
- Other info: Perfect for tech enthusiasts looking to make an impact remotely.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology firm based in the UK is seeking a Machine Learning Engineer with over 4 years of experience to design and scale production ML systems. The role involves collaborating on ML system integration, training AI models, and deploying high-quality frameworks.
Candidates should have strong Python skills and experience with tools like PyTorch and TensorFlow.
The position offers a remote-friendly culture, competitive compensation, and opportunities for personal growth and technical influence.
Senior ML Engineer - LLMs, RAG & CV, Remote in Leeds employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - LLMs, RAG & CV, Remote in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with ML. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving LLMs, RAG, and CV. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with PyTorch and TensorFlow. Practice coding challenges and system design questions to boost your confidence.
✨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 Senior ML Engineer - LLMs, RAG & CV, Remote in Leeds
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 4+ years of experience in ML systems. We want to see how you've designed and scaled production systems, so share specific projects or achievements that showcase your skills.
Get Technical: Since we're all about Python, PyTorch, and TensorFlow, don’t hold back on the technical details! Let us know how you've used these tools in your previous roles to train AI models and deploy frameworks.
Tailor Your Application: Take a moment to customise your application for this role. We love seeing candidates who understand our needs and can demonstrate how their background aligns with the job description. It shows us you’re genuinely interested!
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 Jobster
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around LLMs, RAG, and CV. Be ready to discuss your past projects in detail, showcasing how you've designed and scaled production ML systems.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to ML frameworks like PyTorch and TensorFlow.
✨Collaborate Like a Pro
This role involves collaboration, so be prepared to talk about how you've worked with others in the past. Share examples of how you integrated ML systems or trained AI models as part of a team.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s ML projects and culture. This shows your genuine interest and helps you gauge if it’s the right fit for you.
