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- Tasks: Lead a new ML team and develop innovative machine learning solutions for education.
- Company: Exciting Edtech start-up in London transforming the education landscape.
- Benefits: Competitive salary, relocation support, and opportunities for professional growth.
- Why this job: Shape the future of AI in education and make a real difference.
- Qualifications: Expertise in neural networks and experience with data tools required.
- Other info: Onsite role with a dynamic team and a chance to innovate.
Lead ML Engineer – Onsite 5 days a week – London
Take the next step in your career now, scroll down to read the full role description and make your application.
Happy to look at European relocators
An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning.
We\’re 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.
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.
If interested please get in touch ASAP!
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Lead ML Engineer employer: Movement8
Contact Detail:
Movement8 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving neural networks and NLP algorithms. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your approach to building ML teams and defining tech stacks, as these are key aspects of the Lead ML Engineer role.
✨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 love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Lead ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead ML Engineer role. Highlight your experience with neural networks and data tools, and don’t forget to mention any leadership roles you've had. We want to see how you can take ownership of our machine learning strategy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming education with AI. Share specific examples of your past projects and how they relate to the responsibilities listed in the job description. We love a good story!
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills relevant to the role. Mention your experience with data pipelines, generative models, and any familiarity with CI/CD pipelines. We’re looking for someone who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
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 specific projects where you've used CNNs, RNNs, or Transformers. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Leadership Skills
As a Lead ML Engineer, you'll be building and leading a team. Prepare examples of how you've successfully led teams in the past, tackled challenges, and fostered collaboration. Highlight your strategic thinking around architecture and trade-offs to demonstrate your leadership potential.
✨Get Familiar with Their Tech Stack
Research the tools and technologies mentioned in the job description, like Pandas, NumPy, and Apache Spark. If you have experience with these, be ready to discuss how you've used them in previous roles. If not, consider brushing up on them to show your willingness to learn.
✨Prepare for Practical Scenarios
Expect to face practical questions or case studies during the interview. Think about how you would design data pipelines or optimise models for performance and scalability. Practising these scenarios will help you articulate your thought process clearly and confidently.