Applied AI Engineer – Due Diligence & AI Insights

targetjobs UK; Greater London; Híbrido; GBP 65.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work options

Shares/Equity

Regular salary reviews

Bonus plan

Unlimited holiday

MacBook (high-spec)

Home-office setup (monitor, keyboard,鼠

Descripción de la vacante

targetjobs UK is seeking an Applied Research Engineer to help develop the next generation of algorithms powering our system. You will work closely with the product team to ensure models capture domain knowledge and deliver accurate insights in a fast-paced environment.

You will design and run AI experiments, build AI-driven microservices, implement IaC with Terraform or CloudFormation, and conduct statistical evaluations to optimize performance and cost.

Formación

• Demonstrable experience with Python and strong Python knowledge.
• A rigorous and scientific approach to problem solving.
• Track record for learning and mastering complex topics.
• Keen attention to detail.
• Strong verbal and written communication.
• Experience with Unix and CLI tooling.

Responsabilidades

• Design, build, and test AI-powered experiments with leading-edge ML models.
• Create and deploy AI-powered microservices using standard design patterns.
• Implement infrastructure as code (Terraform or CloudFormation) to automate deployment and scaling.
• Statistically evaluate candidate systems against functional and non-functional requirements, optimizing for performance and cost.
• Collaborate with the wider engineering team and continuously learn and improve.

Conocimientos

Python

Statistics

Algorithm optimization

Unix

Herramientas

Terraform

CloudFormation

AWS

Descripción del empleo

targetjobs UK is seeking an Applied Research Engineer to help develop the next generation of algorithms powering our system. You will work closely with the product team to ensure models capture domain knowledge and deliver accurate insights in a fast-paced environment.

You will design and run AI experiments, build AI-driven microservices, implement IaC with Terraform or CloudFormation, and conduct statistical evaluations to optimize performance and cost.