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- Tasks: Create a proof of concept using structured datasets and focus on anomaly detection.
- Company: Leading UK recruitment agency with a focus on innovation.
- Benefits: Remote work, hands-on project experience, and the chance to showcase your skills.
- Why this job: Apply your analytical expertise in a practical setting and make a real impact.
- Qualifications: Strong Python skills and experience with structured data.
- Other info: Ideal for those seeking to grow in a dynamic, remote environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment agency in the UK is seeking an experienced Data & ML Contractor to deliver a proof of concept using structured datasets. You will focus on data preparation, feature engineering, and anomaly detection while ensuring clear communication of findings to stakeholders.
Strong Python skills are essential, along with experience in structured data expertise. This remote role offers the chance to engage in a practical, hands-on project approach, ideal for those looking to apply their analytical expertise.
Remote ML PoC Engineer - Anomaly Detection & Insights employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML PoC Engineer - Anomaly Detection & Insights
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and ML field. Let them know you're on the lookout for opportunities, and who knows? They might just have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving anomaly detection and structured datasets. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in data preparation and feature engineering. Be ready to discuss your thought process and how you tackle challenges in your projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications with us!
We think you need these skills to ace Remote ML PoC Engineer - Anomaly Detection & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with structured datasets and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for this remote ML PoC Engineer role. Share specific examples of your work in data preparation and anomaly detection to grab our attention.
Showcase Your Communication Skills: Since clear communication is key, make sure to demonstrate your ability to convey complex findings in a straightforward manner. We love candidates who can bridge the gap between technical details and stakeholder understanding!
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 during the process!
How to prepare for a job interview at trg.recruitment
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the types of structured datasets you’ll be working with. Brush up on your data preparation and feature engineering techniques, as you might be asked to discuss specific examples or challenges you've faced in previous projects.
✨Showcase Your Python Skills
Since strong Python skills are essential for this role, be prepared to demonstrate your coding abilities. You could be asked to solve a problem on the spot, so practice common ML libraries like Pandas, NumPy, and Scikit-learn. Having a few code snippets ready to share can also help illustrate your expertise.
✨Communicate Clearly and Effectively
As the role involves communicating findings to stakeholders, practice explaining complex concepts in simple terms. Think about how you would present your insights from anomaly detection to someone without a technical background. Clear communication can set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to ML projects, their expectations for the proof of concept, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
