At a Glance
- Tasks: Build and productionise ML pipelines in a dynamic environment.
- Company: Join DW Search, a leader in tech solutions for asset management.
- Benefits: Competitive contract rate, flexible hybrid work, and potential for extension.
- Other info: Exciting opportunity to grow your career in a fast-paced setting.
- Why this job: Make an impact by deploying cutting-edge ML models in a major firm.
- Qualifications: Strong Python skills and MLOps experience required.
The predicted salary is between 60000 - 80000 € per year.
DW Search is looking for a Senior Machine Learning/ MLOps / Data Engineer for a hybrid role in London. This contract opportunity involves working on building and productionising ML pipelines within a dynamic environment for a major asset management firm. The successful candidate will have strong Python skills and a solid background in MLOps.
Responsibilities include:
- Deploying machine learning models
- Collaborating with teams to enhance model performance
This is an initial 6-month contract, outside IR35, potentially extendable.
Senior ML Engineer — Production ML & MLOps Pipelines employer: DW Search
At DW Search, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys flexible working arrangements, competitive compensation, and ample opportunities for professional growth in the rapidly evolving field of machine learning and MLOps. Join us to be part of a forward-thinking environment where your contributions directly impact the success of major asset management projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer — Production ML & MLOps Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the ML and MLOps space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and MLOps pipelines. This is your chance to demonstrate what you can do beyond your CV. Share it on platforms like GitHub and make sure it’s easy to find.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with deploying models. Practice common technical questions and think about how you can contribute to enhancing model performance.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior ML Engineer — Production ML & MLOps Pipelines
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world projects, especially in MLOps and ML pipelines.
Tailor Your Experience:When writing your application, focus on your experience with deploying machine learning models. We love seeing specific examples of how you've collaborated with teams to enhance model performance.
Keep It Clear and Concise:We appreciate a well-structured application. Keep your language clear and to the point, making it easy for us to see why you're a great fit for this role.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at DW Search
✨Know Your ML Pipelines
Make sure you understand the end-to-end process of building and deploying ML pipelines. Be ready to discuss your previous experiences with MLOps, including any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong 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 brush up on your Python syntax and libraries commonly used in ML.
✨Collaborate Like a Pro
This role involves working closely with teams, so be prepared to talk about your collaboration experiences. Share examples of how you've worked with cross-functional teams to enhance model performance and what tools you used to facilitate communication.
✨Stay Updated on Industry Trends
The field of machine learning is always evolving, so show that you're keeping up with the latest trends and technologies. Mention any recent advancements in MLOps or ML frameworks that excite you and how they could apply to the role.
