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- Tasks: Design and maintain data pipelines while optimising data storage for AI models.
- Company: Fast-growing AI company in the UK with a focus on innovation.
- Benefits: Competitive contract terms and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the AI field.
- Qualifications: Strong software engineering experience, especially in data pipelines and Python.
- Other info: Hands-on role requiring initiative and independent work in a vibrant environment.
The predicted salary is between 48000 - 72000 £ per year.
A fast-growing AI company in the UK is seeking a Senior Data Software Engineer specializing in ML/AI. The role involves designing and maintaining data pipelines, optimizing data storage, and collaborating with various teams to enhance model development.
Candidates must have strong software engineering experience, particularly in data pipelines, and advanced skills in Python. This is a hands-on position that requires initiative and the ability to work independently in a dynamic environment. Competitive contract terms offered.
Senior Data & ML Pipelines Engineer employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & ML Pipelines Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio of your past projects, especially those involving data pipelines and ML. 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 data pipeline architectures. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data & ML Pipelines Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data pipelines and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences relate to designing and maintaining data pipelines, as well as any collaborative projects you've been part of.
Be Yourself: We love seeing personality in applications! Don’t be afraid to let your unique voice shine through. Share your passion for AI and data engineering, and why you’re excited about this opportunity with us.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the quickest way for us to receive your application and get the ball rolling on your journey with StudySmarter!
How to prepare for a job interview at Omnis Partners
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipelines. Be ready to discuss your previous experiences in designing and maintaining them, as well as any challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Since advanced Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Collaboration is Key
This position involves working with various teams, so be prepared to talk about your experience collaborating with others. Share specific examples of how you’ve worked cross-functionally to enhance model development or optimise processes.
✨Embrace the Dynamic Environment
The company values initiative and independence, so highlight your ability to adapt and thrive in fast-paced settings. Share stories that showcase your proactive approach and how you handle changing priorities.
