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- Tasks: Support the development and maintenance of cutting-edge machine learning models.
- Company: Join a dynamic team focused on innovative ML solutions in London.
- Benefits: Enjoy a hybrid work environment with potential for contract extension.
- Why this job: Perfect for curious minds eager to grow in machine learning and collaborate with experts.
- Qualifications: Some experience with Python, ML libraries, and SQL is required.
- Other info: This is a 12-month fixed-term contract with a salary range of £30,000 - £40,000.
The predicted salary is between 30000 - 40000 £ per year.
Junior ML Engineer (Fixed-Term Contract)
Location: London (Hybrid)
Contract Length: 12 months (extension possible)
Salary: £30,000 – £40,000
About the Role:
Join our team as a Junior ML Engineer and gain hands-on experience in supporting the development and maintenance of cutting-edge machine learning models. This is a fantastic opportunity for a passionate and curious individual eager to grow in the field of ML.
Key Responsibilities:
- Assist in running and maintaining machine learning pipelines.
- Troubleshoot and resolve issues in ML operations.
- Collaborate with senior engineers and data scientists to support project goals.
- Contribute to scaling up ML initiatives across the organisation.
- Learn and develop skills in machine learning engineering and best practices.
Requirements:
- Some experience with Python, ML libraries (e.g., TensorFlow, PyTorch), and SQL.
- Understanding of machine learning concepts and workflows.
- Curiosity and eagerness to learn and develop new skills.
- Strong problem-solving abilities and a proactive attitude.
- Excellent team collaboration and communication skills.
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Junior ML Engineer (Fixed-Term Contract) employer: Evolution
Contact Detail:
Evolution Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior ML Engineer (Fixed-Term Contract)
✨Tip Number 1
Familiarize yourself with the specific ML libraries mentioned in the job description, like TensorFlow and PyTorch. Consider working on small projects or contributing to open-source projects that utilize these tools to showcase your hands-on experience.
✨Tip Number 2
Engage with the ML community by joining forums, attending meetups, or participating in hackathons. This will not only expand your network but also expose you to real-world problems and solutions that can enhance your understanding of machine learning.
✨Tip Number 3
Prepare to discuss your problem-solving approach during interviews. Think of specific examples where you've successfully troubleshot issues in ML operations or similar fields, as this will demonstrate your proactive attitude and strong analytical skills.
✨Tip Number 4
Show your eagerness to learn by researching the latest trends and advancements in machine learning. Being able to discuss recent developments or innovative techniques during your interview can set you apart as a passionate candidate ready to grow in the field.
We think you need these skills to ace Junior ML Engineer (Fixed-Term Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Python, ML libraries like TensorFlow or PyTorch, and any SQL knowledge. Emphasize your problem-solving skills and eagerness to learn.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your curiosity to grow in the field. Mention specific projects or experiences that demonstrate your skills and enthusiasm.
Showcase Relevant Projects: If you have worked on any machine learning projects, include them in your application. Describe your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Prepare for Technical Questions: Be ready to discuss your understanding of machine learning concepts and workflows during the interview process. Brush up on common ML algorithms and be prepared to explain how you've applied them.
How to prepare for a job interview at Evolution
✨Show Your Passion for Machine Learning
Make sure to express your enthusiasm for machine learning during the interview. Share any personal projects or experiences that demonstrate your curiosity and eagerness to learn in this field.
✨Highlight Relevant Skills
Discuss your experience with Python, ML libraries like TensorFlow or PyTorch, and SQL. Be prepared to provide examples of how you've used these skills in past projects or coursework.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles or projects and how you approached solving them. This will showcase your proactive attitude and strong problem-solving skills.
✨Emphasize Team Collaboration
Since the role involves working closely with senior engineers and data scientists, be ready to talk about your experiences in team settings. Highlight how you communicate effectively and contribute to group goals.
