---
title: 'Lead ML Product Engineer at Radiant'
canonical: 'https://feeny.ai/job/lead-ml-product-engineer-radiant-london-rnvy8pkk1csm'
type: 'job'
last_seen: '2026-10-18'
---

# Lead ML Product Engineer at Radiant

- **Company:** Radiant
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/radiant/2bd618ee-623a-4971-97a2-da647e57130e

## Job description

About our team: Radiant is redefining how AI infrastructure is built. We design and operate AI-native infrastructure platforms engineered for sovereignty, performance, and scale — powering GPU-native workloads, multi-tenant control planes, and high-performance AI systems for the most demanding environments. We are building purpose-built AI infrastructure from powered land, to compute, to software. As we scale our operations and deploy capital into the next generation of AI infrastructure, we are looking to expand our product team with leaders who can combine technical strength with execution excellence and are driven to build. Radiant was established by Brookfield, a leading global alternative asset manager with over US$1 trillion of assets under management across real estate, infrastructure, renewable power and transition, private equity and credit. Brookfield's global relationships, investment expertise and access to long-term institutional capital provide Radiant with a differentiated platform from which to develop, finance and operate AI infrastructure assets. This combination of entrepreneurial execution and institutional sponsorship enables Radiant to pursue large-scale GPU and AI infrastructure opportunities globally. Job Summary: As an ML Product Engineer, you will work at the intersection of product, machine learning, and cloud infrastructure, helping turn Radiant’s ML platform capabilities into usable, high-quality customer experiences. You’ll work across GPU workloads, training, inference, APIs, SDKs, developer tooling, and platform integrations, partnering closely with product, engineering, infrastructure, and customers. This is a hands-on technical role focused on rapidly prototyping, validating, and shipping ML platform capabilities that make it easier for customers to build and run AI workloads on Radiant’s platform.

Key Responsibilities:

- Build and prototype ML platform features, workflows, SDKs, APIs, and developer tooling.
- Work closely with Product to turn customer needs into working technical solutions and product experiences.
- Develop reference implementations across training, fine-tuning, inference, model serving, and orchestration.
- Integrate ML frameworks and tools with Radiant’s GPU, Kubernetes, storage, networking, and platform services.
- Work directly with customers and internal teams to identify friction and improve developer experience and time-to-value.
- Evaluate emerging ML infrastructure technologies and rapidly test their suitability for the platform.
- Support product discovery with technical prototypes, benchmarks, demos, and proof-of-concepts.
- Help define technical requirements, documentation, examples, and best practices for ML services.

Qualifications:

- Strong engineering experience, ideally in ML infrastructure, developer tooling, cloud platforms, or AI products.
- Strong understanding of:
- ML workloads: training, fine-tuning, inference, model serving
- Infrastructure: GPUs, Kubernetes, containers, storage, networking
- Developer tooling: APIs, SDKs, CLIs, notebooks
- Distributed systems: scheduling, queues, retries, failures, scaling
- Familiarity with technologies such as Ray, Slurm, MLflow, Hugging Face, vLLM, Triton, LangChain, or similar.
- Comfortable moving quickly from an ambiguous customer problem to a working prototype or production implementation.
- Strong communication skills and comfortable working directly with product teams and customers.

What you bring:

- Builder mindset: You prefer proving ideas with working software.
- Product sense: You care about usability and customer outcomes, not just technical correctness.
- ML fluency: You understand how real ML workloads behave in production.
- Technical breadth: You can work across application code, ML frameworks, APIs, and infrastructure.
- Speed and ownership: You can take an idea from prototype through to something customers can actually use.

Our values:

- Set the standard: Every single day, you spot opportunities to constructively shake things up
- Inspire the change: There’s no blueprint for the future. You’ll embrace challenges and change
- You’re real and you’re true to yourself: We cherish and celebrate diversity so you’ll feel right at home whoever you are and whoever you’re talking to, you treat everyone the same.

Why should you join us? What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. Here are just some of the great things you can expect from us:

- 25 days of annual leave
- A culture that emphasises results over hierarchy, process & ego: we place great emphasis on the quality, ingenuity and creativity of work.
- Open communication, regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together.
- Learning Time: we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your day-to-day job.
- Health & Wellbeing: we want everyone to feel healthy and happy, so we offer private medical insurance via Bupa.
- Cycle to Work Scheme: we're committed to building a sustainable business, so we encourage cycling to work.
- Gympass subscription to a variety of gyms and wellbeing apps
- Participation in the company shares program
- Enhanced parental pay & leave

## About Radiant

## Company Overview
- **One-liner**: Radiant is a vertically integrated AI infrastructure company that builds and operates AI factories combining utility-scale powered land, long-term capital, and a proprietary software platform.
- **Entity Type**: Private (portfolio company of Brookfield’s AI Infrastructure Fund)
- **Headquarters**: London, United Kingdom
- **Founded**: 2026 (formed via merger of Brookfield’s Radiant entity with Ori Industries)
- **Founders**: Mahdi Yahya (Founder & former CEO of Ori, now President of Radiant)

## Core Business
- **Primary industry**: AI Infrastructure / Cloud Computing / Data Centers
- **Target customers**: Sovereign governments, large enterprises, telecommunications providers (B2B, Enterprise, Sovereign)
- **Mission or purpose statement**: “Building the utility model for AI compute — ubiquitous, always on and offering superior economics. That model will power the intelligence revolution — giving every nation, enterprise and network the foundation to build what comes next.” [radiant.co](https://radiant.co/about)

## Products & Services
- **Radiant AI Cloud**: On-demand AI compute platform offering pre-configured bare metal offerings, GPU instances, and AI-as-a-Service offerings including Inference, Fine-Tuning, Model Registry, Kubernetes, and high-performance Storage.
- **AI Factories (Sovereign/Enterprise Deployments)**: Purpose-built, vertically integrated AI data centers built on the NVIDIA DSX reference design, offering utility-grade economics under long-term contracts for sovereign governments and select enterprises.
- **Powered Land Portfolio**: Access to over 5 GW live and 45 GW of renewable generation capacity globally — enabling rapid deployment of massive AI compute clusters at 20% below-market power costs through a mix of hydro, wind, geothermal, biomass, and dispatchable natural gas. [radiant.co](https://radiant.co/)
- **Proprietary Software Platform**: Dependency-free, lightweight architecture built on engineering first principles, featuring intelligent scheduling, automated node management, secure multi-tenancy, and a distributed control panel. Scales consistently from 10K to 100K+ GPUs.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed as a private entity. Backed by Brookfield with access to a $100 billion investment program for AI Infrastructure (Brookfield AI Infrastructure Fund).
- **Key Metric**: Total funding — Backed by Brookfield, with “more than $100 billion in deployable capital” available to the fund. Radiant is the first compute deployment vehicle and second seed investment for Brookfield’s AI Infrastructure Fund. [radiant.co](https://radiant.co/press-release-launch)
- **Notable Investors/Partners**: Brookfield (global alternative asset manager), NVIDIA (Cloud Partner — using NVIDIA Blackwell, GB200 NVL72, and upcoming Rubin architectures)
- **Growth Signals**: Recently launched (February 24, 2026) via merger of Radiant and Ori Industries. Targeting the multi-trillion market for integrated AI factories over the next decade. Rapidly expanding Ori’s integrated AI Cloud assets with the latest NVIDIA platforms.

## Competitive Advantages
- **Vertically Integrated Model**: Uniquely combines capital (Brookfield), powered land (5 GW live, 45 GW renewable capacity), proprietary software (built from first principles), and compute (NVIDIA partnership) into a single platform — “from silicon to service.”
- **Cost Advantage**: 20% below-market power costs through a balanced energy mix.
- **Capital Advantage**: Direct pipeline to $100B+ investment program, enabling massive, long-duration projects that competitors cannot match.
- **NVIDIA DSX Reference Design**: First-mover advantage in deploying at scale using NVIDIA’s latest architectures (Blackwell, Rubin) with full design and operational ownership.
- **Sovereign Focus**: Positioned as a partner for nations seeking AI infrastructure independence — a growing geopolitical priority.

## Strategic Focus
- **Scale AI Factories Globally**: Rapidly deploy AI compute capacity using the NVIDIA DSX reference design for sovereign governments, enterprises, and telecoms under long-term contracts.
- **Expand the Ori Global AI Cloud**: Continue to grow the on-demand AI cloud for customers needing rapid deployment and flexible capacity.
- **Maintain Vertical Integration**: Control every layer from capital and energy to software and hardware, ensuring operational autonomy and superior economics.
- **Long-term Planning**: Aligned with the long-term demands of the AI economy — thinking in decades, not quarters.

## Why Work Here
- **Culture**: “Outcome oriented” — the company values people who get things done, dream bigger, think in longer timelines, and build the assets that make every other ambition possible. [radiant.co](https://radiant.co/about)
- **Remote/Hybrid Policy**: Flexible work options, including remote and hybrid arrangements.
- **Compensation**: Competitive compensation with performance-based incentives and meaningful stock options.
- **Benefits**: Learning and development support, family-friendly policies with paid parental leave, generous vacation and company holidays.
- **Engineering Culture**: Led by CTO Chris Galloway (previously CTO at Ori, with experience at Broadcom/Symantec) and VP Product Joao Coelho (former AWS Solutions Architect, co-founder of open-source Multy). The team is building a proprietary, dependency-free software platform from first principles — appealing to engineers who want deep technical ownership.
- **Growth Opportunity**: Early-stage (launched Feb 2026) with massive capital backing — employees can shape the company’s trajectory and work on infrastructure at unprecedented scale (10K to 100K+ GPUs).
- **Hiring**: Actively hiring across every department. [radiant.co](https://radiant.co/about)

## Sources
1. [radiant.co - Homepage](https://radiant.co/)
2. [radiant.co - About Page](https://radiant.co/about)
3. [radiant.co - Press Release Launch](https://radiant.co/press-release-launch)
4. [Tech.eu - Radiant and Ori Merge](https://tech.eu/2026/02/24/radiant-and-ori-merge-to-deliver-sovereign-ai-cloud-at-utility-scale/)
5. [radiant.co - Blog: The Age of Abundance in AI](https://radiant.co/blog/the-age-of-abundance-in-ai)

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