Machine Learning Engineer, Enterprise

Job Description

Scale is seeking a Machine Learning Engineer to join their SGP ML team in London. The engineer will work directly with clients to train ML models, ranging from cybersecurity firewalls to genomic models. Scale's mission is to accelerate AI advancements, and this role puts the engineer on the front lines of this revolution.

The Machine Learning Engineer will collaborate with product and research teams, integrate human feedback, and prototype new deep learning models for multi-modal content understanding. They will also develop techniques to integrate tool-calling into production-serving LLMs.

Responsibilities include:

• Training state-of-the-art models developed internally and externally.
• Identifying opportunities for ongoing and upcoming services.
• Integrating human feedback and assisted evaluation into product lines.
• Creating techniques to integrate tool-calling into LLMs.
• Prototyping and building deep learning models with customers.

The ideal candidate will have:

• 1-3 years of model training, deployment, and maintenance experience.
• Strong skills in NLP, LLMs, and deep learning.
• Solid background in algorithms, data structures, and object-oriented programming.
• Experience with cloud technology stacks (AWS or GCP).
• Experience building products with LLMs.
• PhD or Masters in Computer Science or related field

Bonus points for:

• Experience with large-scale AI problems.