At a Glance
- Tasks: Build and deploy ML pipelines in a fast-paced environment.
- Company: Join a leading asset management firm in London.
- Benefits: Competitive contract rate, flexible working, and potential for extension.
- Other info: Exciting opportunity for career growth in the tech industry.
- Why this job: Make an impact by enhancing machine learning models in a dynamic team.
- 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 in London employer: DW Search
At DW Search, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer competitive benefits, flexible working arrangements, and ample opportunities for professional growth in the rapidly evolving field of machine learning and MLOps. Join us to be part of a dynamic team dedicated to pushing the boundaries of technology while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer — Production ML & MLOps Pipelines in London
✨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 referrals. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and pipelines. Use platforms like GitHub to share your code and document your thought process. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with deploying models and MLOps practices. We recommend practising common interview questions and even doing mock interviews with friends.
✨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’re always looking for talented individuals like you to join our team in exciting roles like this one!
We think you need these skills to ace Senior ML Engineer — Production ML & MLOps Pipelines in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python skills and MLOps experience. 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 this opportunity at DW Search and how your expertise in building ML pipelines can make a difference.
Showcase Your Collaboration Skills:Since the role involves working with teams, mention any past experiences where you’ve successfully collaborated on projects. We love to see how you can enhance model performance through teamwork!
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 don’t miss out on any important updates during the process!
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.
