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- Tasks: Research data, create predictive models, and collaborate on ML solutions.
- Company: Join ClearML, a leading open-source MLOps platform trusted by top brands.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship from MLOps experts.
- Why this job: Dive into the exciting world of machine learning and make a real impact.
- Qualifications: Recent graduates with knowledge of SQL and Python are encouraged to apply.
The predicted salary is between 28800 - 48000 £ per year.
Join us to advance data science and machine learning. ClearML is a rapidly growing open source MLOps platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation, ensuring their work is reproducible and scalable.
We are looking for a junior Machine Learning Engineer to join our growing team. In this role, you will collaborate across our development and product teams and will have a chance to work with our MLOps experts in the exciting areas of machine learning, deep learning, DevOps, and AI. The ideal candidate will be a recent graduate who wants to learn how to create and fine-tune models from large amounts of raw information and optimize them. You will work with our team to learn to build ML/DL data pipelines to extract valuable business insights, analyse trends, and help us make better decisions.
We expect you to be highly analytical with a knack for analysis, math, and statistics, and a passion for machine learning and research. Critical thinking and problem-solving skills are also required.
Responsibilities:- Research and analyse valuable data sources and automate processes
- Perform preprocessing of structured and unstructured data
- Review large amounts of information to discover trends and patterns
- Create predictive models and machine-learning algorithms
- Modify and combine different models through ensemble modeling
- Organise and present information using data visualisation techniques
- Develop and suggest solutions and strategies to business challenges
- Work together with engineering and product development teams to build and test ML/DL solutions stretching the entire spectrum of ML operationalisation from data processing, model training, hyperparameter tuning, deployment, and model management
- Graduate role, no experience necessary, remote opportunity
- Knowledge of SQL and Python; familiarity with Scala, Java, or C++ is a plus
- Familiar with Kubernetes and/or perhaps similar container system
- Strong math and analytical skills, with business acumen
- Strong communication and presentation skills
- Good problem-solving abilities
- BSc or BA degree in Computer Science, Engineering or other relevant area
Junior Machine Learning Engineer employer: ClearML
Contact Detail:
ClearML Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and coding challenges to boost your confidence and impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at ClearML.
We think you need these skills to ace Junior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Machine Learning Engineer role. Highlight any relevant projects or coursework that showcase your skills in Python, SQL, and machine learning concepts. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for machine learning and why you’re excited about joining us at ClearML. Share specific examples of your analytical skills and problem-solving abilities.
Showcase Your Projects: If you've worked on any machine learning projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, so include links to your GitHub or any relevant portfolios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at ClearML
✨Know Your Tech Stack
Make sure you brush up on your knowledge of SQL and Python, as these are crucial for the role. Familiarity with other languages like Scala, Java, or C++ can give you an edge, so don’t hesitate to mention any experience you have with them.
✨Showcase Your Analytical Skills
Prepare to discuss how you've used your analytical skills in past projects or studies. Think of specific examples where you’ve had to analyse data, discover trends, or solve complex problems. This will demonstrate your critical thinking abilities.
✨Understand MLOps Fundamentals
Since this role involves working with MLOps, it’s essential to understand the basics of machine learning operationalization. Familiarise yourself with concepts like model training, hyperparameter tuning, and deployment processes to show that you’re ready to dive into the work.
✨Practice Your Communication Skills
You’ll need to present your findings and collaborate with various teams, so practice explaining complex concepts in simple terms. Being able to communicate effectively will set you apart and show that you can work well in a team environment.