National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer - Quantization

TN United Kingdom
Glasgow
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Quantization, GlasgowClient:

MBN Solutions

Location:

Glasgow, United Kingdom

Job Category:

-

EU work permit required:

Yes

Job Reference:

960817cda1fa

Job Views:

9

Posted:

26.04.2025

Expiry Date:

10.06.2025

Job Description:

Senior ML Engineer – Startup LLM - £140k + equity – Remote (UK/EU)

Are you an expert in NLP/LLM?

Are you passionate about building groundbreaking technology and shaping the future of AI?

Do you dream of starting a company from the ground up? If so, we have the perfect opportunity for you.

The challenge

The rise of AI has skyrocketed demand for computational power. However, current solutions are expensive and dominated by large corporations. We're tackling this challenge by building a decentralized marketplace for compute power specifically designed for large language models (LLMs) with billions of parameters.

We’re an AI startup, leading the development of technology to drive the efficiency and performance of AI models. We’re looking for an AI/ML Engineer to be part of the founding team, joining our CEO, CTO, COO, and Principal Engineer.

About you

You’ll draw on your experience as an NLP/AI Engineer to drive the design of the platform and tailor it to be most efficient for LLMs.

You’ll have experience building large models, fine-tuning, and training them along with a strong theoretical understanding of how they optimize. You’ll be familiar with concepts like swarm parallelism and reducing active parameters. You’ll be able to minimize network bandwidth impact, define memory footprint, and estimate cache utilization to design effective optimizations.

What we are looking for is someone with:

  • A solid background in Foundational NLP
  • At least 3 years’ experience developing, training, and deploying NLP models
  • Experience with High Performance Computing (NVIDIA CUDA)
  • Experience fine-tuning recent LLMs (OpenAI, Anthropic, Claude, LLaMA, etc.)

It would be great if you also had an academic background in AI Research and experience with LLMOps.

You’ll be a founding member of a team that has secured $2.5 million in pre-seed funding and will receive equity in the company. The role is remote, with team members based across the UK, US (East Coast), Dubai, and Europe.

Please note: You must be eligible to work in the UK or EU to be considered.

Interested?

If you believe you fit the profile, apply by clicking the ‘apply now’ button or contact us through the provided channels.

Note: If you are not a passport holder of the country for the vacancy, you might need a work permit. More info is available on our Blog.

Do not provide bank or payment details when applying. All applications should be made via the 'Apply now' button.

Created on 26/04/2025 by TN, United Kingdom

#J-18808-Ljbffr

National AI Awards 2025

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.