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- Tasks: Join us as a Machine Learning Engineer to build and enhance our AI-driven platform.
- Company: Work with a market leader in publishing, collaborating with giants like The Times and The Guardian.
- Benefits: Enjoy hybrid working, regular team events, and a dynamic work environment.
- Why this job: Be part of an innovative team, enjoy autonomy, and make a real impact in the publishing industry.
- Qualifications: Proficiency in Python, scikit-learn, Kubernetes, and AWS is essential.
- Other info: This role offers a chance to work on business-critical platforms in a supportive team.
The predicted salary is between 43200 - 72000 £ per year.
Great opportunity for a talented ML Engineer (Python, scikit-learn, Kubernetes, AWS) to join an AI driven SaaS platform for the publishing industry.
The Company: Market leading business that works with publishing giants such as The Times and The Guardian. Their AI driven SaaS platform enables the automation of their social media and email outreach campaigns.
The Role: They are seeking a Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) to build out their business-critical platform. You will be expected to work end-to-end across their ML (Python, scikit-learn, Kubernetes, AWS) platform and will be afforded a considerable amount of autonomy. The ideal candidate will work in autonomous, cross functional teams entrusted with business-critical platforms.
Benefits: Regular team events.
If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested in this role then please apply below and I will be in touch with more details.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting and Book and Periodical Publishing
Machine Learning Engineer – Hybrid Working (Greater London) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer – Hybrid Working (Greater London)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, scikit-learn, Kubernetes, and AWS. Having hands-on experience or projects showcasing these skills can significantly boost your chances.
✨Tip Number 2
Network with professionals in the AI and machine learning field, especially those who work in publishing or similar industries. Engaging with them on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects and experiences in detail during interviews. Be ready to explain your thought process, the challenges you faced, and how you overcame them, particularly in relation to ML platforms.
✨Tip Number 4
Stay updated on the latest trends and advancements in machine learning and AI. Being knowledgeable about current developments can help you stand out during discussions and demonstrate your passion for the field.
We think you need these skills to ace Machine Learning Engineer – Hybrid Working (Greater London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, scikit-learn, Kubernetes, and AWS. Use specific examples of projects you've worked on that demonstrate your skills in machine learning.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience in building ML platforms and working in cross-functional teams.
Showcase Relevant Projects: If you have any personal or professional projects related to machine learning, include them in your application. This could be GitHub repositories or case studies that showcase your problem-solving skills and technical expertise.
Highlight Soft Skills: Since the role involves working autonomously and in teams, emphasise your communication skills and ability to collaborate effectively. Provide examples of how you've successfully worked in team settings or led projects.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, scikit-learn, Kubernetes, and AWS during the interview. Be prepared to discuss specific projects where you've applied these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Products
Research the AI-driven SaaS platform and its applications in the publishing industry. Understanding how your role as a Machine Learning Engineer contributes to their business will show your genuine interest and help you answer questions more effectively.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or case studies related to machine learning, as this will help you articulate your thought process and approach to real-world problems.
✨Demonstrate Team Collaboration
Since the role involves working in cross-functional teams, be ready to discuss your experiences collaborating with others. Share examples of how you've worked autonomously while still contributing to team goals, as this aligns with the company’s expectations.
