Lead Machine Learning Engineer responsible for building and leading a new ML team, defining the tech stack, and developing generative models. The role requires a deep knowledge of neural networks and experience with data tools. The ideal candidate will have a solid understanding of NLP algorithms and experience integrating ML models via RESTful APIs.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Lead ML Engineer - Onsite 4 days a week - London. Can offer sponsorship from any continent location
Europe, Russia, USA, etc
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.
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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.
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Qualifications:
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- 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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