Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

Mat Vin; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Scale GP is hiring a Sr Staff ML Forward Deployed Engineer to own large new areas of the Scale GP platform. You will work across backend, frontend, and directly with LLMs and ML models to push products from concept through production.

The role emphasizes rapid experiments, scalability, and reliability in a fast-paced startup environment. The ideal candidate has 7+ years of full-time engineering experience, experience scaling products at hyper-growth startups, and strong Python or

Qualifications

• 7+ years of full-time engineering experience, post-graduation.
• Experience scaling products at hyper growth startups.
• Experience tinkering with or productizing LLMs and vector databases, and other AI technologies.
• Proficient in Python or Javascript/Typescript, and SQL.
• Experience with Kubernetes.
• Experience with major cloud providers (AWS, Azure, GCP).

Responsibilities

• Own large new areas within our product.
• Work across backend, frontend, and interacting with LLMs and ML models.
• Deliver experiments at a high velocity and quality to engage customers.
• Work across the entire product lifecycle from conceptualization through production.
• Be able, and willing, to multi-task and learn new technologies quickly.

Skills

Python

JavaScript/TypeScript

SQL

Kubernetes

Cloud providers (AWS/Azure/GCP)

LLMs / vector databases

Tools

LLMs

Vector databases

AI technologies

Job description

London, UK

Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

You will:

• Own large new areas within our product
• Work across backend, frontend, and interacting with LLMs and ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

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