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- Tasks: Design, build, and deploy AI and data science solutions in a collaborative environment.
- Company: Leading international organisation with global exposure and a hybrid working model.
- Benefits: Professional growth opportunities and a flexible work-life balance.
- Why this job: Join a dynamic team and work on cutting-edge AI/ML projects that make a difference.
- Qualifications: Hands-on experience with AI/ML, strong Python skills, and familiarity with Azure.
- Other info: Exciting career prospects in a supportive and innovative workplace.
The predicted salary is between 43200 - 72000 £ per year.
A leading international organisation seeks a Data Science Engineer to join their London office. You will design, build, and deploy AI and data science solutions, ensuring they meet security and governance standards.
The ideal candidate has hands-on experience with AI/ML solutions, strong Python skills, and familiarity with cloud platforms, particularly Azure.
The company promotes a collaborative environment with global exposure, offering a hybrid working model and opportunities for professional growth.
Data Science Engineer – Hybrid AI & MLOps in City of London employer: Picture More Ltd
Contact Detail:
Picture More Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer – Hybrid AI & MLOps in City of London
✨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 AI and data science projects. This is your chance to demonstrate your hands-on experience with Python and cloud platforms like Azure. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common data science and MLOps questions. Practice explaining your past projects and how they align with security and governance standards. Confidence is key, so rehearse until you feel ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our collaborative environment.
We think you need these skills to ace Data Science Engineer – Hybrid AI & MLOps in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with AI/ML solutions and strong Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Science Engineer position and how your skills can contribute to our collaborative environment. Let us know what makes you tick!
Showcase Your Cloud Knowledge: Since familiarity with cloud platforms, especially Azure, is key for this role, make sure to mention any relevant experience. We love seeing how you’ve used these tools in past projects, so give us the details!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Picture More Ltd
✨Know Your AI & MLOps Inside Out
Make sure you brush up on your knowledge of AI and MLOps. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your hands-on experience and problem-solving skills.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand. Familiarity with libraries like Pandas and NumPy will definitely give you an edge.
✨Familiarise Yourself with Azure
As the company uses cloud platforms, particularly Azure, make sure you understand its services and how they relate to data science. Be prepared to discuss how you've used Azure in past projects or how you would approach deploying solutions on this platform.
✨Emphasise Collaboration and Growth
This role is all about collaboration, so be ready to talk about your experiences working in teams. Highlight any instances where you contributed to a group project or helped others grow. Also, express your enthusiasm for professional development opportunities within the company.
