Machine Learning Engineer - Quantization

MBN Solutions
Glasgow
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer( Real time Data Science Applications)

Machine Learning Manager

Machine Learning Engineer

Machine Learning Engineer

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 a 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 optimise them you’ll be familiar with things like swarm parallelism and understand how to reduce active parameters. You’ll be able to minimise the impact of network bandwidth, define memory footprint and estimate how cache will increase to be able to design the right optimisations.

What we are looking for is someone with:

A solid background in Foundational NLP At least 3 years’ experience of hands on developing, training and deploying NLP models Experience with High Performance Computing (NVIDIA CUDA) Experience fine tuning some of the more 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 the team that have secured $2.5 million dollars pre-seed, and will receive equity in the business. You’ll be working remotely, with others in the team being spread across, UK, US (East Coast), Dubai and Europe.

Please note: you must be eligible to work in the UK or EU to be considered for this position.

Interested?

If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following:

Email me at Call me on

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.