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- Tasks: Lead the development of machine learning strategies and build a new team.
- Company: Innovative Edtech start-up transforming education with AI in London.
- Benefits: Competitive salary, opportunity for relocation, and a chance to shape the future of education.
- Why this job: Make a real impact in education by developing cutting-edge AI solutions.
- Qualifications: Deep knowledge of neural networks and experience with data tools.
- Other info: Dynamic environment with opportunities for growth and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
This Edtech Start-up in London is building something transformative in education using cutting-edge machine learning. We are looking for a Lead ML Engineer to take ownership of the machine learning strategy, build out the team, and help shape the future of AI in education. This is an onsite role in London (5 days a week) with openness to European relocators.
Overview
Lead the development of the ML strategy, recruit and lead a new ML team, and collaborate with cross-functional partners to deliver AI-driven features in education.
Responsibilities
- Build and lead a new ML team from the ground up.
- Define the tech stack for data pipelines and ML models.
- Develop generative models using diverse datasets (text, audio, video, test results).
- Design and deploy data integration and analysis pipelines.
- Collaborate with engineers and product managers to bring ML features to life.
- Create innovative language assessments and predictive models.
- Optimize models for performance, scalability, and accuracy.
Qualifications
- Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers).
- Strong experience with data tools (Pandas, NumPy, Apache Spark).
- Solid understanding of NLP algorithms.
- Experience integrating ML models via RESTful APIs.
- Familiarity with CI/CD pipelines and deployment automation.
- Strategic thinking around architecture and trade-offs.
Job details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Industries: Education
We are happy to consider European relocators.
Machine Learning Engineer in London employer: Movement8
Contact Detail:
Movement8 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning. Share your work on platforms like GitHub and make sure to highlight any innovative solutions you've developed.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past experiences and how they relate to the role at our Edtech start-up.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to transform education with AI.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Show Your Passion for Education: When writing your application, let us see your enthusiasm for transforming education through machine learning. Share any relevant projects or experiences that highlight your commitment to using tech for good!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our mission and the role of Lead ML Engineer.
Highlight Your Technical Skills: Don’t hold back on showcasing your deep knowledge of neural networks and data tools. Be specific about your experience with technologies like Pandas, NumPy, and RESTful APIs, as these are crucial for the role.
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’re considered for this exciting opportunity to shape the future of AI in education!
How to prepare for a job interview at Movement8
✨Know Your ML Stuff
Make sure you brush up on your knowledge of neural networks and NLP algorithms. Be ready to discuss your experience with CNNs, RNNs, and Transformers in detail. They’ll want to see how you can apply this knowledge to real-world problems in education.
✨Showcase Your Team Leadership Skills
Since this role involves building and leading a new ML team, be prepared to talk about your leadership style and past experiences. Share examples of how you've successfully led teams, recruited talent, and fostered collaboration among cross-functional partners.
✨Demonstrate Your Strategic Thinking
Think about the tech stack you would choose for data pipelines and ML models. Be ready to discuss your architectural decisions and the trade-offs involved. This shows that you’re not just technically savvy but also strategic in your approach.
✨Prepare for Practical Scenarios
Expect to tackle some practical scenarios or case studies during the interview. They might ask you how you would develop generative models or optimise existing ones. Practising these scenarios beforehand will help you articulate your thought process clearly.
