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- Tasks: Develop and maintain AI/ML pipelines while collaborating with data scientists.
- Company: Leading multinational tech company focused on innovation and employee well-being.
- Benefits: Flexible remote work, comprehensive benefits package, and commitment to your growth.
- Why this job: Join a dynamic team and make an impact in the AI/ML field.
- Qualifications: 2-5 years of machine learning experience and strong Python programming skills.
- Other info: Exciting opportunity for career advancement in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading multinational tech company is seeking an AI / ML Engineer to develop and maintain robust AI/ML pipelines. The role requires 2 to 5 years of experience in machine learning engineering and strong programming skills in Python. You will collaborate with data scientists and deploy AI models in production environments, utilizing cloud technologies and MLOps practices. This position offers a flexible remote working option and a comprehensive benefits package, reflecting the company's commitment to employee well-being.
AI/ML Engineer: Scale LLMs & Pipelines (Remote) in London employer: Pythian
Contact Detail:
Pythian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer: Scale LLMs & Pipelines (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community on LinkedIn or attend virtual meetups. 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 involving LLMs and pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding MLOps practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI/ML Engineer: Scale LLMs & Pipelines (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning engineering and programming skills in Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your skills can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any AI/ML pipelines or deployed models in production, make sure to mention them! We appreciate concrete examples that demonstrate your hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Pythian
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant AI/ML frameworks. Be ready to discuss your previous projects in detail, especially those involving pipelines and model deployment.
✨Showcase Your Collaboration Skills
Since you'll be working closely with data scientists, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success.
✨Understand MLOps Practices
Familiarise yourself with MLOps principles and cloud technologies. Be prepared to discuss how you would implement these practices in real-world scenarios, as this will show your readiness for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI/ML initiatives and their approach to remote work. This not only shows your interest but also helps you gauge if the company is the right fit for you.
