At a Glance
- Tasks: Own and develop cutting-edge ML systems for retrieval and knowledge representation.
- Company: Scale AI, a leading tech company in London focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting projects and a collaborative environment await you!
- Why this job: Join a dynamic team and make a real impact in the AI landscape.
- Qualifications: 5+ years in ML/AI systems with a strong CS/ML background.
The predicted salary is between 70000 - 90000 £ per year.
Scale AI, Inc. in London is seeking a Machine Learning Engineer to own retrieval and knowledge representation components at the heart of Scale GP.
You will drive end-to-end ML deliverables, from research and prototyping to production deployment, working across knowledge bases, vector stores, RAG pipelines, and context engines that power enterprise agents.
Ideally you have 5+ years building production ML/AI systems, a strong CS/ML degree, and deep retrieval knowledge.
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Machine Learning Engineer: Retrieval & Knowledge Platform employer: Scale AI, Inc.
As a Technical Program Manager at our London office, you will thrive in a dynamic and innovative work culture that prioritises collaboration and employee growth. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages creativity and strategic thinking. Join us to be part of a forward-thinking team that is shaping the future of AI technology while enjoying the vibrant atmosphere of one of the world's leading cities.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer: Retrieval & Knowledge Platform
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We think you need these skills to ace Machine Learning Engineer: Retrieval & Knowledge Platform
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Scale AI, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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