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- Tasks: Lead end-to-end machine learning solutions and optimise pipelines for business success.
- Company: Global research and analytics organisation with a focus on innovation.
- Benefits: Competitive salary, flexible onsite policy, and a culture of continuous learning.
- Why this job: Make a real impact by innovating with cutting-edge machine learning technologies.
- Qualifications: 6+ years experience in ML, strong Python and GCP skills required.
- Other info: Join a transparent team that values collaboration and growth.
The predicted salary is between 70000 - 90000 £ per year.
A global research and analytics organization is seeking a Senior Machine Learning Engineer to lead end-to-end machine learning solutions in London. The role demands over 6 years of experience, strong skills in Python and GCP, along with proficiency in building models across various use cases.
You will be responsible for collaborating with Data Scientists and Engineering teams to innovate and optimize pipelines, ensuring models perform against business KPIs.
Join a culture that values transparency and continuous learning, with a 3 days per week onsite policy.
Senior ML Engineer: End-to-End ML London (Onsite 3 days) employer: Revoco
Contact Detail:
Revoco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: End-to-End ML London (Onsite 3 days)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Practice common ML scenarios and be ready to discuss how you've tackled challenges in past projects. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer: End-to-End ML London (Onsite 3 days)
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 6+ years of experience in machine learning. We want to see how you've tackled real-world problems and the impact your work has had on business KPIs.
Python and GCP are Key: Since strong skills in Python and GCP are a must, don’t forget to mention specific projects where you’ve used these technologies. We love seeing practical examples of your expertise!
Collaboration is Crucial: We value teamwork, so share any experiences where you’ve collaborated with Data Scientists or Engineering teams. This shows us you can innovate and optimise pipelines effectively.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to connect and start the conversation!
How to prepare for a job interview at Revoco
✨Know Your Tech Inside Out
Make sure you brush up on your Python and GCP skills before the interview. Be ready to discuss specific projects where you've built models and how they performed against business KPIs. This will show that you not only understand the tech but can also apply it effectively.
✨Showcase Collaboration Skills
Since the role involves working closely with Data Scientists and Engineering teams, prepare examples of how you've successfully collaborated in the past. Highlight any challenges you faced and how you overcame them to achieve a common goal.
✨Demonstrate Continuous Learning
The company values a culture of continuous learning, so be prepared to talk about how you stay updated with the latest trends in machine learning. Mention any courses, certifications, or personal projects that showcase your commitment to growth in this field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to machine learning and their expectations for the role. This not only shows your interest but also helps you gauge if the company’s culture aligns with your values, especially regarding transparency and innovation.