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- Tasks: Build and deploy cutting-edge machine learning models for a transformative PropTech platform.
- Company: Rapidly scaling SaaS business revolutionising property data management.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of property technology with your ML expertise.
- Qualifications: Experience in machine learning and a passion for innovative tech solutions.
- Other info: Exciting environment with potential for significant career advancement.
The predicted salary is between 43200 - 72000 £ per year.
We are partnering with a rapidly scaling PropTech SaaS business transforming how property data is enriched, automated, and delivered across multi-tenant environments. They are now hiring a Machine Learning Engineer to help build intelligent, production-grade ML systems at the core of their platform.
Responsibilities:
- Build and deploy machine learning models.
Machine Learning Engineer employer: Run-Time Group Ltd
Contact Detail:
Run-Time Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your past experiences. Practising coding challenges and system design questions can also give you a leg up when it comes to technical interviews.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented Machine Learning Engineers like you. Plus, applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience and skills that match the job description, especially those related to building and deploying ML models.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with the company's mission in transforming property data. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any machine learning projects, be sure to include them in your application. Whether it's a personal project or something from your previous job, showcasing your hands-on experience can really set you apart.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Run-Time Group Ltd
✨Know Your ML Basics
Make sure you brush up on the fundamentals of machine learning. Be ready to discuss algorithms, model evaluation metrics, and the differences between supervised and unsupervised learning. This will show your interviewer that you have a solid foundation.
✨Showcase Your Projects
Prepare to talk about your previous projects involving machine learning. Highlight specific challenges you faced, how you overcame them, and the impact your work had. This gives the interviewer insight into your practical experience and problem-solving skills.
✨Understand Their Tech Stack
Research the technologies and tools used by the company. Familiarise yourself with their preferred programming languages, frameworks, and any specific ML libraries they might use. This shows your enthusiasm and readiness to integrate into their team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to machine learning and their future projects. This not only demonstrates your interest but also helps you gauge if the company aligns with your career goals.
