Lead Machine Learning Engineer

NPA WorldWide
Reading
3 days ago
Create job alert
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


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.