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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, full-time role, and opportunities for relocation within Europe.
- Why this job: Shape the future of AI in education and make a real impact.
- Qualifications: Deep knowledge of neural networks and experience with data tools required.
- Other info: Dynamic environment with excellent career growth opportunities.
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 England employer: Movement8
Contact Detail:
Movement8 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that align with education. 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 soft skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate with cross-functional teams. We want to see how you can communicate your ideas effectively!
✨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 Machine Learning Engineer in England
Some tips for your application 🫡
Show Your Passion for Education: When you're writing your application, let your enthusiasm for transforming education shine through. We want to see how your skills in machine learning can make a real difference in the Edtech space.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your experience with neural networks and data tools. We love seeing candidates who take the time to align their skills with our needs!
Be Clear About Your Experience: In your application, be specific about your past projects and achievements. We’re looking for someone who can lead a team and define a tech stack, so don’t hold back on showcasing your leadership and technical prowess.
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, especially CNNs, RNNs, and Transformers. Be ready to discuss how you've applied these in past projects, as well as your experience with data tools like Pandas and NumPy.
✨Showcase Your Leadership Skills
Since this role involves building and leading a new ML team, be prepared to share examples of your leadership experience. Talk about how you've successfully managed teams or projects in the past and how you plan to foster collaboration in your new team.
✨Demonstrate Strategic Thinking
The company is looking for someone who can think strategically about architecture and trade-offs. Prepare to discuss your approach to defining tech stacks and optimising models for performance and scalability. Use specific examples to illustrate your thought process.
✨Collaborate and Communicate
This role requires working closely with engineers and product managers. Highlight your experience in cross-functional collaboration and be ready to discuss how you communicate complex ML concepts to non-technical stakeholders. This will show that you can bridge the gap between tech and education.