Machine Learning Engineer

NPA WorldWide; Oxford; 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 developing machine learning algorithms for advanced networking solutions and requires expertise in Python and deep learning libraries. The successful candidate will work in a collaborative environment on innovative projects in space technology, with competitive compensation and flexible working arrangements.

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 state‑of‑the‑art machine learning algorithms for network orchestration problems.
• Build and manage ML training infrastructure using Kubernetes clusters.
• Integrate AI models with the broader Spacetime platform.

Skills

Machine learning algorithms

Technical communication skills

Python proficiency

Experience in C++ or Go

Education

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

Tools

PyTorch

TensorFlow

Kubernetes

MLOps tools

Job description

Job description

Ourclientisa 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.

The Opportunity

We are looking for an experienced Machine Learning Engineer to join our client’s Spacetime team in the UK. This is a hybrid role combining ML research and development, where you will apply cutting‑edge algorithms to solve complex spatio‑temporal networking and resource‑management challenges. You will work in a highly collaborative, international environment developing real‑world AI applications that help shape the future of planetary‑scale communications 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++ 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, TensorFlow) or optimisation library (Gurobi, CBC, GoogleOR‑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

Salary

• Annual Salary: £100,000 – £150,000 (GBP)