Lead Machine Learning Engineer

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

Job Description

Our client is a leading technology company developing groundbreaking laser communications systems and software‑defined networking platforms for the aerospace industry. With technology acquired from Google, they are at the forefront of innovation in satellite and airborne mesh networks, cislunar, and deep‑space communications, transforming how the world connects across land, sea, air, and space.

Opportunity

We are looking for an experienced Machine Learning Engineer to join our client’s Spacetime team in the UK. This hybrid role combines ML research and development with the application of cutting‑edge algorithms to solve complex temporal‑spatial networking and resource‑management challenges.

You’ll work in a highly collaborative, international environment developing real‑world AI applications that help shape the future of planetary‑scale communication systems.

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.

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.

Qualifications

• Master’s or PhD in Computer Science, Mathematics, Statistics, or a related ML discipline.
• Proficiency in Python and at least one deep‑learning library (PyTorch or TensorFlow) or optimisation library (Gurobi, CBC, or 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.

Compensation

• Salary Type: Annual Salary
• Salary Minimum: £100,000
• Salary Maximum: £150,000
• Currency: GBP