Senior Machine Learning Engineer

Unlikely AI, a deep tech startup founded by William Tunstall-Pedoe (known for his key role in creating Alexa), is seeking a Senior Machine Learning Engineer to join their world-class team in London. The company is pioneering transformative technology to make AI more accurate, trustworthy, and safe, with a focus on a novel neuro-symbolic approach towards AGI.

As a Senior Machine Learning Engineer, you'll play a crucial role in delivering model prototypes to production, managing deployments, and ensuring stability. Key responsibilities include:

1. Deploying, monitoring, and optimizing deep learning models (LLMs)
2. Designing and implementing deep learning features
3. Optimizing for latency and accuracy
4. Collaborating with teams to communicate complex solutions
5. Managing and analyzing large datasets while ensuring data integrity

The ideal candidate should have:

• 5+ years of experience as a Machine Learning Engineer
• Strong expertise in Python, PyTorch, or TensorFlow
• Proficiency in deploying deep learning models (e.g., Torchserve, Sagemaker, VertexAI)
• Solid understanding of MLOps practices and cloud infrastructure
• Hands-on experience optimizing model deployments for performance

Desirable skills include CI/CD workflow development, fine-tuning models, knowledge of retrieval-augmented generation and vector search optimization, experience with infrastructure-as-code tools, and knowledge of NLP, LLMs, and transformer architecture.

Unlikely AI offers a hybrid work environment with an office near Holborn tube station and occasional team days. Compensation includes a salary and generous share options through a tax-efficient EMI scheme. The company is committed to diversity and equal opportunities.

Join Unlikely AI to work on cutting-edge AI technology, solve exciting challenges, and be part of a team driving towards a huge vision for the future of AI.