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For Companies At a Glance
- Tasks: Join a team to create impactful ML/AI solutions and mentor others.
- Company: Be part of a global publishing company dedicated to improving society through education.
- Benefits: Enjoy a competitive salary, profit share bonus, and WFH allowance.
- Why this job: Make a difference with data while working in a passionate, collaborative environment.
- Qualifications: Proficiency in Python, Azure, and MLOps; strong communication skills required.
- Other info: Work in Central London with just one day in the office per week.
The predicted salary is between 65000 - 80000 £ per year.
Location: Central London – 1 day per week in the office
We are currently recruiting a Machine Learning Engineer to join a global publishing company. Producing high-quality educational resources, they are publishing impactful research that has the power to improve society and empower policy makers.
The Opportunity
This is an opportunity to join an organisation with people who are passionate about data and its ability to empower and improve lives.
- Work with cross-functional teams to deliver production level ML/AI solutions
- Implement MLOps with a focus on versioning and data security
- Champion Machine Learning across the business
- Mentor junior members of the team
Skills and Experience
- Python
- MLOps
- Strong communication
If you would like to be considered for the role and feel you would be an ideal fit with our team, then please send your CV to us by clicking on the Apply button below.
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Machine Learning Engineer employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in Machine Learning and MLOps. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase your experience with Python and Azure by preparing examples of past projects. Be ready to explain how you implemented ML solutions and the impact they had on your previous teams or organizations.
✨Tip Number 3
Highlight your communication skills and stakeholder management experience. Think of specific instances where you successfully collaborated with cross-functional teams or mentored others, as this aligns well with the role's requirements.
✨Tip Number 4
Research the company’s mission and values, especially their focus on educational resources and societal impact. Being able to articulate how your personal values align with theirs can make a strong impression during the interview.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, Python, and MLOps. Emphasize any projects or roles where you've worked with cross-functional teams or mentored others.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and its impact on society. Mention specific examples of how you've implemented ML solutions and your approach to stakeholder management.
Highlight Communication Skills: Since strong communication is key for this role, provide examples in your application that demonstrate your ability to convey complex technical concepts to non-technical stakeholders.
Showcase Your MLOps Knowledge: Discuss your experience with MLOps practices, particularly focusing on versioning and data security. This will show that you understand the operational side of machine learning.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and Azure in detail. Highlight specific projects where you've implemented MLOps, focusing on versioning and data security.
✨Demonstrate Your Passion for Data
Express your enthusiasm for how data can empower and improve lives. Share examples of how you've used data-driven insights to make impactful decisions in previous roles.
✨Prepare for Cross-Functional Collaboration
Since the role involves working with cross-functional teams, be ready to discuss your experience in collaborating with different departments. Provide examples of successful teamwork and how you managed stakeholder expectations.
✨Mentorship Mindset
As mentoring junior members is part of the role, think about your past experiences in guiding others. Be prepared to share how you approach mentorship and support team development.
