Opportunity

We’re looking for an experienced Machine Learning Engineer to join our client Spacetime team in the UK. This is a hybrid role combining ML research and development, where you’ll apply 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 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, 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

• 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

Salary

Salary Type: Annual Salary
Salary Min: £100,000
Salary Max: £150,000
Currency Type: GBP

Seniority level