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- Tasks: Develop and deploy machine learning models for an exciting SaaS product.
- Company: Leading tech recruitment agency with a focus on innovation.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and make a real impact in marketing technology.
- Qualifications: Strong experience with Python and ML libraries like TensorFlow.
- Other info: Collaborative environment with dynamic projects and career advancement potential.
The predicted salary is between 30000 - 42000 £ per year.
A leading tech recruitment agency is seeking a skilled Machine Learning Engineer to develop and deploy machine learning models for a dynamic SaaS product. The ideal candidate will have strong experience with Python and ML libraries like TensorFlow. This role requires collaboration with product and engineering teams to integrate AI into workflows, and offers the flexibility of remote work within the UK. Join a forward-thinking team focused on impactful solutions in the marketing technology space.
Remote ML Engineer: Build Production AI for SaaS in Liverpool employer: TechByte Talent Ltd
Contact Detail:
TechByte Talent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer: Build Production AI for SaaS in Liverpool
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in SaaS or machine learning. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python and TensorFlow. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote ML Engineer: Build Production AI for SaaS in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML libraries like TensorFlow. 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 excited about the opportunity to work with us at StudySmarter and how you can contribute to our dynamic SaaS product.
Showcase Collaboration Skills: Since this role involves working closely with product and engineering teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love teamwork!
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 TechByte Talent Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with ML libraries like TensorFlow. Be ready to discuss your past projects and how you've used these tools to solve real-world problems.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product and engineering teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects you've been part of.
✨Understand the SaaS Landscape
Familiarise yourself with the marketing technology space and how AI can enhance SaaS products. Being able to discuss current trends and challenges will show that you're not just technically skilled but also industry-savvy.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team, the product, and their vision for AI integration. This shows your genuine interest and helps you assess if it's the right fit for you.
