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- Tasks: Design and build AI prototypes while collaborating with engineers and data scientists.
- Company: A leading digital innovation company in the UK with a focus on cutting-edge technology.
- Benefits: Remote work, competitive salary, and opportunities for technical problem-solving.
- Why this job: Join a dynamic team and make an impact in the exciting field of AI.
- Qualifications: Strong ML development skills, Python experience, and understanding of MLOps.
- Other info: Great opportunities for collaboration and career growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A digital innovation company in the UK is seeking a Machine Learning Engineer to design, build, and refine AI prototypes. This remote role involves collaboration with engineers and data scientists to create scalable solutions and ensure robust deployment.
Ideal candidates have:
- Strong ML development skills
- Experience with Python
- A solid understanding of MLOps
The position offers a dynamic work environment and opportunities for technical problem-solving and collaboration.
Remote ML Engineer - AI Prototyping & CI/CD in London employer: Olive Jar Digital
Contact Detail:
Olive Jar Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer - AI Prototyping & CI/CD in London
✨Tip Number 1
Network like a pro! Reach out to fellow engineers and data scientists on platforms like LinkedIn. Join relevant groups and participate in discussions to get your name out there and discover hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI prototypes and projects. This is your chance to demonstrate your ML development skills and MLOps knowledge, making you stand out to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding of CI/CD processes. Practice common ML problems and be ready to discuss your past projects in detail—this will help us see how you think and solve problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application reflects your passion for AI and collaboration.
We think you need these skills to ace Remote ML Engineer - AI Prototyping & CI/CD in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong ML development skills and experience with Python in your application. We want to see how you can design and build AI prototypes, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for this role. Mention your understanding of MLOps and how it relates to the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Remember, less is often more!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Olive Jar Digital
✨Know Your ML Basics
Brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation metrics, and the latest trends in AI. This will show that you’re not just familiar with Python but also understand the core concepts behind ML.
✨Showcase Your Prototyping Skills
Prepare to talk about any AI prototypes you've built in the past. Highlight your role in the project, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand MLOps
Since the role involves CI/CD, make sure you can explain how you’ve implemented MLOps practices in previous projects. Discuss tools you’ve used for deployment and monitoring, as this will show your readiness for a robust deployment environment.
✨Collaborative Mindset
This position requires working closely with engineers and data scientists. Be prepared to share examples of how you’ve successfully collaborated in the past. Emphasise your communication skills and ability to work in a team, as this is crucial for a dynamic work environment.
