Lead Machine Learning Engineer

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

Job summary

A leading technology company in the United Kingdom is seeking an experienced Machine Learning Engineer to join their Spacetime team. This hybrid role involves developing state-of-the-art machine learning algorithms for space technology and digital infrastructure. Candidates should have a Masters or PhD in relevant fields, proficiency in Python and deep learning libraries, and strong technical communication skills. The position offers competitive compensation including pension and health insurance, along with flexible working arrangements.

Benefits

Competitive compensation

Pension

Private health insurance

Equity options

Hybrid and flexible working arrangements

Qualifications

• Experience in wireless communication or satellite systems is preferred.
• Proficiency in Python and deep learning libraries is necessary.
• Strong technical communication skills are crucial.

Responsibilities

• Research and develop ML algorithms for network orchestration.
• Build and manage ML training infrastructure using Kubernetes.
• Integrate AI models with the Spacetime platform.

Skills

Wireless communication

Machine Learning

Python

Deep learning libraries (PyTorch, TensorFlow)

C, C++, or Go

Technical communication skills

Education

Masters or PhD in Computer Science, Mathematics, Statistics, or a related ML discipline

Tools

Kubernetes

MLOps tooling

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.

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 temporospatial 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 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 we 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

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

• Masters 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, 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

Why is this a great opportunity

• 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)
• Salary type: Annual Salary
• Salary min: £100,000
• Salary max: £150,000
• Currency type: GBP