At a Glance
- Tasks: Design and build scalable ML models for customer-facing products and operational tools.
- Company: Join Xcede, a forward-thinking company at the forefront of AI and logistics.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of a growing team in London focused on cutting-edge technology.
- Why this job: Make an impact in AI while working on innovative projects in a dynamic team.
- Qualifications: Strong foundation in statistics, Python, SQL, and experience with ML model deployment.
The predicted salary is between 60000 - 80000 € per year.
Xcede is seeking a skilled Machine Learning Engineer to design and build scalable models that power features in customer-facing products and operational tooling. The ideal candidate will have a strong foundation in statistics and experience deploying ML models into production environments.
Solid Python and SQL skills are required, alongside familiarity with tools like Airflow and AWS services. This role is based in London, part of a growing team focused on innovative technology at the intersection of AI and logistics.
ML Engineer - Real-Time Forecasting & Scalable AI in London employer: Xcede
At Xcede, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer competitive benefits, continuous learning opportunities, and the chance to work on cutting-edge AI projects that make a real impact in logistics. Join us to be part of a dynamic team where your contributions are valued and your professional growth is supported.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer - Real-Time Forecasting & Scalable AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML 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 projects, especially those involving real-time forecasting and scalable AI. 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 and SQL skills. Practice coding challenges and be ready to discuss your experience with tools like Airflow and AWS. Confidence is key!
✨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 ML Engineer - Real-Time Forecasting & Scalable AI in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in real projects, especially if you've deployed ML models before!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to the job description. Mention your experience with scalable models and any relevant tools like Airflow or AWS that you’ve worked with.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured information that showcases your experience without unnecessary fluff. Remember, clarity is key!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting role!
How to prepare for a job interview at Xcede
✨Know Your ML Fundamentals
Brush up on your statistics and machine learning concepts. Be ready to discuss how you’ve applied these in real-world scenarios, especially in deploying models into production. This will show that you have a solid foundation and can handle the technical challenges of the role.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve problems or write code snippets, so practice common algorithms and data manipulation tasks. Highlight any projects where you've used these skills effectively.
✨Familiarity with Tools is Key
Make sure you’re familiar with tools like Airflow and AWS services. If you’ve used them in past projects, be ready to share specific examples. This will help you stand out as someone who can hit the ground running in their tech stack.
✨Understand the Company’s Focus
Research Xcede and their focus on AI and logistics. Be prepared to discuss how your skills align with their goals and how you can contribute to innovative technology solutions. Showing genuine interest in their mission can make a great impression.
