Python Software Developer

NPAworldwide; Packmoor; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading technology company in the UK is seeking an experienced Machine Learning Engineer. This hybrid role focuses on developing cutting-edge algorithms for complex networking and resource management problems within the aerospace industry. Responsibilities include researching state-of-the-art ML algorithms, managing training infrastructure, and technical communication with clients. Ideal candidates should have a Master’s or PhD in a related field and proficiency in programming languages like Python, C++, or Go. Competitive compensation and flexible working arrangements are offered.

Benefits

Competitive compensation

Pension

Private health insurance

Equity options

Flexible working arrangements

Exposure to AI-driven projects

Qualifications

• Solid background in ML and algorithms.
• Experience in software development and testing for ML.
• Ability to work collaboratively in cross-disciplinary teams.

Responsibilities

• Research and develop machine-learning algorithms.
• Build and manage ML training infrastructure.
• Document ML algorithms and technical reports.
• Integrate AI models with existing platforms.
• Communicate with customers on ML-related technologies.

Skills

Experience in wireless communication

Proficiency in Python

Technical communication skills

Familiarity with C, C++, or Go

Experience in technical sales

Strong coding skills

Education

Master’s or PhD in Computer Science, Mathematics, Statistics

Tools

PyTorch

TensorFlow

Kubernetes

MLOps tools

Job description

Overview

Our client is a leading technology company developing groundbreaking laser communications systems and software‑defined networking platforms for the aerospace industry.

Opportunity

We’re looking for an experienced Machine Learning Engineer to join our client’s team in the UK. This hybrid role combines ML research and development, where you’ll apply cutting‑edge algorithms to solve complex temporospatial networking and resource‑management challenges.

Key Responsibilities

• Research and develop state‑of‑the‑art machine‑learning algorithms for network orchestration problems.
• Build and manage ML training infrastructure using Kubernetes clusters and modern MLOps tooling.
• Write clear documentation and reports for novel algorithms developed by the team.
• Integrate AI models with the broader spacetime platform to ensure seamless functionality.
• Act as a technical communication expert, interacting with customers and partners on ML‑related technologies.

Preferred 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.
• Familiarity with C, C++, or Go.
• Master’s or PhD in Computer Science, Mathematics, Statistics, or related ML discipline.
• Proficiency in Python and at least one deep‑learning library (PyTorch, TensorFlow) or optimisation library (Gurobi, CBC, Google OR‑Tools).
• Strong technical communication skills and the ability to work across multi‑disciplinary teams.
• Skilled in writing clean, maintainable, and efficient code.
• Enthusiasm for promoting innovative technology solutions.

What’s on Offer

• Opportunity to lead high‑impact, innovative projects in space technology and digital infrastructure.
• Competitive compensation, pension, private health insurance, and equity options.
• Hybrid and flexible working arrangements (UK‑based remote).
• Exposure to AI‑driven networks, space‑ground integration, and cloud mission control.
• Work alongside international research centres and technology partners in a forward‑thinking, inclusive team.

Eligibility

Applicants must have the right to work in the United Kingdom.

Equal Opportunity

Our client is proud to be an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. We encourage applications from all qualified individuals, regardless of background, identity, or experience.