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- Tasks: Build and integrate ML models into applications using Python.
- Company: Leading AI solutions company at the forefront of technology.
- Benefits: Competitive salary, remote work, and opportunities to learn new tech.
- Why this job: Join a dynamic team and shape the future of AI with your skills.
- Qualifications: Strong experience in Generative AI, ML models, and Python coding.
The predicted salary is between 80000 - 110000 £ per year.
A leading AI solutions company is seeking a Machine Learning Engineer. The role involves building and integrating ML models into applications, writing production-ready code, and deploying AI solutions in cloud environments.
The ideal candidate has strong experience with Generative AI and ML Models, proven Python coding skills, and a desire to learn new technologies.
This is a full-time, remote position offering a competitive salary between £80,000 and £110,000.
Remote ML Engineer: GenAI & Production AI (Python) in England employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer: GenAI & Production AI (Python) in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or relevant forums. You never know who might have a lead on that perfect remote position.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Generative AI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python coding challenges and ML concepts. Practising with mock interviews can help us feel more confident when it’s time 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. It’s a great way to get noticed directly by our hiring team.
We think you need these skills to ace Remote ML Engineer: GenAI & Production AI (Python) in England
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python coding experience in your application. We want to see how you've used Python in real projects, especially in building and integrating ML models.
Talk About Your AI Experience: Don’t hold back on sharing your experience with Generative AI and ML models. We’re keen to know about the projects you’ve worked on and the impact they had!
Keep It Professional Yet Personal: While we love a professional tone, don’t forget to let your personality shine through. A bit of your unique style can make your application stand out from the crowd.
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 us!
How to prepare for a job interview at Jobster
✨Know Your ML Models
Make sure you brush up on your knowledge of machine learning models, especially those related to Generative AI. Be ready to discuss how you've built and integrated these models in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Since strong Python coding skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, production-ready code. Familiarise yourself with common libraries used in ML, like TensorFlow or PyTorch.
✨Understand Cloud Environments
As the role involves deploying AI solutions in cloud environments, make sure you know the ins and outs of platforms like AWS, Azure, or Google Cloud. Be prepared to discuss your experience with these services and how you've used them to deploy ML models.
✨Embrace Continuous Learning
The ideal candidate has a desire to learn new technologies, so be ready to talk about how you keep your skills sharp. Share any recent courses, certifications, or projects that showcase your commitment to staying updated in the fast-evolving field of AI.
