AI Innovation Engineer – Cloud Platform (EU Remote)

United States Digital Space LLC; Greater London; On-site; GBP 127,932 - 131,343; Full time

Benefits offered by this job

Equity

Bonus plan

Job summary

United States Digital Space LLC is seeking an experienced AI/ML engineer to accelerate client value by delivering scalable, enterprise-ready AI solutions. You will translate business problems into structured product requirements and guide teams from POC to production.

Role emphasizes generative AI, orchestration, and integration with modern data foundations, with a strong DevOps culture and security focus. Competitive compensation applies.

Qualifications

• Bachelor's degree or equivalent practical experience in CS or related field.
• 7 years of software/data engineering experience with programming languages.
• Experience with ML methods and model monitoring.
• Experience in Generative AI and agentic orchestration frameworks.

Responsibilities

• Design and build autonomous agentic workflows with ML/AI tech.
• Identify high-impact AI use cases with client leads and create PRDs.
• Evaluate AI solutions on relational/noSQL data foundations and streaming.
• Ensure production-first prototypes with CI/CD and IaC (Terraform).
• Create guides for hand-off from POC to engineering teams.

Skills

7 years experience in software/data

Python

Go

Java

Design patterns

Testing frameworks

API contract design

Machine learning methodologies

Deep learning

Reinforcement learning

Model monitoring

Generative AI

LangChain

CrewAI

Vertex AI Agent Builder

Vector databases

Education

Bachelor's degree in Computer Science or related field or equivalent

Tools

BigQuery

Vertex AI

Dataflow

Pub/Sub

Terraform

Job description

United States Digital Space LLC is seeking an experienced AI/ML engineer to accelerate client value by delivering scalable, enterprise-ready AI solutions. You will translate business problems into structured product requirements and guide teams from POC to production.

Role emphasizes generative AI, orchestration, and integration with modern data foundations, with a strong DevOps culture and security focus. Competitive compensation applies.