Senior ML Engineer, Space Tech & Networking

NPA WorldWide; Reading; Hybrid; GBP 100,000 - 150,000; Full time

Job summary

A leading technology company is seeking an experienced Machine Learning Engineer to join their Spacetime team in the UK. This hybrid role involves ML research and the application of cutting-edge algorithms to solve complex challenges in networking and resource management. Candidates should have a Master's or PhD in a relevant field and proficiency in Python, along with familiarity with deep-learning and optimisation libraries. The compensation package includes competitive salary and benefits, alongside opportunities to work on high-impact projects in space technology.

Benefits

Competitive compensation

Pension

Private health insurance

Equity options

Flexible working arrangements

Qualifications

• Experience in wireless communication, satellite systems, or software-defined networking.
• Previous involvement in technical sales, demos, or product pitches.
• Experience writing tests for software or ML algorithms.

Responsibilities

• Research and develop machine-learning algorithms for network orchestration problems.
• Build and manage ML training infrastructure.
• Write clear documentation and reports for novel algorithms.

Skills

Proficiency in Python

Deep-learning library experience (PyTorch or TensorFlow)

Optimisation library experience (Gurobi, CBC, or Google OR-Tools)

Strong technical communication skills

Writing clean, maintainable, and efficient code

Education

Master’s or PhD in Computer Science, Mathematics, Statistics, or a related ML discipline

Tools

Kubernetes

C

C++

Go

Job description

A leading technology company is seeking an experienced Machine Learning Engineer to join their Spacetime team in the UK. This hybrid role involves ML research and the application of cutting-edge algorithms to solve complex challenges in networking and resource management. Candidates should have a Master's or PhD in a relevant field and proficiency in Python, along with familiarity with deep-learning and optimisation libraries. The compensation package includes competitive salary and benefits, alongside opportunities to work on high-impact projects in space technology.