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For Companies At a Glance
- Tasks: Join a team to create impactful ML/AI solutions and mentor juniors.
- Company: A global publishing company dedicated to improving society through education and research.
- Benefits: Flexible work with one day in the office and opportunities for professional growth.
- Why this job: Be part of a passionate team that values data's power to make a difference.
- Qualifications: Proficiency in Python, MLOps experience, and strong communication skills required.
- Other info: Work in Central London with a collaborative and innovative culture.
The predicted salary is between 42000 - 84000 £ 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.
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
Familiarise yourself with the latest trends in machine learning and MLOps. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Prepare examples of your previous work that showcase your experience with Python and MLOps. Be ready to explain how you implemented solutions and the impact they had on your team or project.
✨Tip Number 3
Highlight your communication skills by preparing to discuss how you've collaborated with cross-functional teams in the past. This will show that you can effectively champion machine learning initiatives across the business.
✨Tip Number 4
Consider mentoring opportunities you've had, whether formal or informal. Sharing these experiences can illustrate your leadership qualities and your ability to support junior team members.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and MLOps. Include specific projects or roles where you've implemented machine learning solutions, as this will demonstrate your relevant skills.
Showcase Communication Skills: Since strong communication is a key requirement, consider including examples in your application that illustrate how you've effectively communicated complex technical concepts to non-technical stakeholders.
Highlight Mentorship Experience: If you have experience mentoring junior team members, be sure to mention it. This aligns with the company's desire for someone who can champion machine learning and support team development.
Express Passion for Data: In your cover letter or personal statement, convey your passion for data and its potential to improve lives. Relate this to the company's mission of producing impactful educational resources.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and MLOps in detail. Bring examples of projects you've worked on that demonstrate your ability to implement production-level ML/AI solutions.
✨Communicate Effectively
Strong communication is key for this role. Practice explaining complex technical concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders.
✨Demonstrate Your Passion for Data
Express your enthusiasm for data and its potential to make a positive impact. Share any relevant experiences or projects where you've used data to drive meaningful outcomes.
✨Prepare for Team Collaboration Questions
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with others. Think of examples where you've successfully worked in a team setting and mentored junior members.
