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For Companies At a Glance
- Tasks: Join a team to develop impactful ML/AI solutions and mentor juniors.
- Company: A global publishing company dedicated to improving society through education and research.
- Benefits: Enjoy profit share bonuses and flexible remote work options.
- Why this job: Be part of a passionate team that values data's power to change lives.
- Qualifications: Proficiency in Python, MLOps, and strong communication skills required.
- Other info: Work in Central London with just one day in the office per week.
The predicted salary is between 43200 - 72000 £ 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.
Apply now, read the job details by scrolling down Double check you have the necessary skills before sending an application.
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.
- Profit share bonus.
Skills and Experience
- Python.
- MLOps.
- Strong communication skills.
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 (London) 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 (London)
✨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 with Python and MLOps. Be ready to explain how you've implemented solutions in past projects, as this will showcase your practical experience and problem-solving skills.
✨Tip Number 3
Brush up on your communication skills. Since the role involves working with cross-functional teams, being able to articulate complex ideas clearly will be crucial. Consider practicing explaining technical concepts to non-technical audiences.
✨Tip Number 4
Network with professionals in the Machine Learning community. Attend meetups or webinars to connect with others in the field, which could lead to valuable insights or even referrals for the position at our company.
We think you need these skills to ace Machine Learning Engineer (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Machine Learning Engineer. Familiarise yourself with MLOps, Python, and the importance of data security as mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your proficiency in Python and any previous work with MLOps or mentoring roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and its impact on society. Mention specific projects or experiences that demonstrate your ability to deliver production-level ML/AI solutions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your communication is clear and professional, reflecting the strong communication skills required for the role.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Python Skills
As a Machine Learning Engineer, your proficiency in Python is crucial. Be prepared to discuss specific projects where you've used Python for machine learning tasks, and consider bringing along code samples or discussing algorithms you've implemented.
✨Understand MLOps Principles
Since the role involves implementing MLOps, make sure you can explain key concepts such as versioning, data security, and deployment strategies. Highlight any experience you have with these practices in previous roles.
✨Demonstrate Strong Communication Skills
This position requires collaboration with cross-functional teams. Prepare examples of how you've effectively communicated complex technical concepts to non-technical stakeholders, showcasing your ability to bridge the gap between data science and business needs.
✨Be Ready to Mentor
Mentoring junior team members is part of the job. Think about your past experiences in mentoring or training others, and be ready to discuss your approach to fostering growth and knowledge sharing within a team.
