Aerospace ML Engineer - Hybrid Role, Equity & Impact

Aalyria; City Of London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading technology company is seeking an experienced machine learning engineer for a hybrid role. The role involves applying cutting-edge machine learning algorithms to tackle complex networking challenges. Ideal candidates should have a master's or PhD in relevant fields, strong fluency in Python, and the ability to effectively communicate across functions. Competitive compensation and a dynamic environment are offered, along with opportunities to work on high-impact projects in the space technology sector.

Benefits

Competitive salary

Pension

Health insurance

Equity

Qualifications

• Masters or PhD degree in computer science, mathematics, or related to machine learning.
• Fluency in Python and deep learning libraries.
• Strong technical communication skills.

Responsibilities

• Research state-of-the-art machine learning algorithms.
• Develop ML training infrastructure using Kubernetes.
• Integrate AI technology with Spacetime platform components.

Skills

Fluency in Python

Machine learning algorithms

Deep learning libraries

Technical communication skills

C, C++, Go

Education

Masters or PhD degree in relevant fields

Tools

Kubernetes

PyTorch

TensorFlow

Gurobi

Job description

A leading technology company is seeking an experienced machine learning engineer for a hybrid role. The role involves applying cutting-edge machine learning algorithms to tackle complex networking challenges. Ideal candidates should have a master's or PhD in relevant fields, strong fluency in Python, and the ability to effectively communicate across functions. Competitive compensation and a dynamic environment are offered, along with opportunities to work on high-impact projects in the space technology sector.