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For Companies At a Glance
- Tasks: Shape the future of AI by designing innovative machine learning systems and training pipelines.
- Company: Join a self-funded, independent AI group making a global impact.
- Benefits: Enjoy full autonomy, competitive salary, and the chance to work on meaningful projects.
- Why this job: Be a founding engineer and influence the core technical direction of groundbreaking AI applications.
- Qualifications: Experience in machine learning and a passion for building impactful technology.
- Other info: Work in a dynamic environment with elite talent and endless growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A1 is a self-funded, independent AI group, focused on building a new consumer AI application with global impact. We’re assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems.
You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.
You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.
What You’ll be Doing
- Build end-to-end training pipelines: data → training → eval → inference
- Design new model architectures or adapt open-source frontier models
- Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)
- Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed
- Build data systems for high-quality synthetic and real-world training data
Founding Machine Learning Engineer in England employer: A1
Contact Detail:
A1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community. Attend meetups, webinars, or even online forums. You never know who might have a lead on that perfect role at A1!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving model architectures or training pipelines. This is your chance to demonstrate your expertise and creativity to A1.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of state-of-the-art methods and frontier models. Practice explaining your thought process clearly; A1 will want to see how you tackle complex problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the A1 team.
We think you need these skills to ace Founding Machine Learning Engineer in England
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re not just skilled, but genuinely excited about building impactful consumer applications.
Be Specific About Your Experience: Don’t just list your skills; give us examples of how you've applied them in real-world scenarios. Whether it’s designing training pipelines or fine-tuning models, we love seeing concrete achievements that demonstrate your expertise.
Tailor Your Application: Make sure to customise your application to align with our mission at A1. Highlight experiences that relate directly to the role and show us how you can contribute to shaping our technical direction.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at A1
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest machine learning models and techniques mentioned in the job description, like LLaMA and Mistral. Be prepared to discuss your experience with model selection and training strategies, as this will show your technical depth and understanding of the role.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled high-impact problems in your previous roles. Be ready to explain how you approached these challenges, the decisions you made regarding architecture or data strategy, and the outcomes of your efforts. This will demonstrate your ability to shape the core technical direction.
✨Prepare for Technical Questions
Expect in-depth technical questions about building end-to-end training pipelines and designing scalable inference systems. Brush up on your knowledge of frameworks like TensorRT-LLM and DeepSpeed, and be ready to discuss how you would implement these in a real-world scenario.
✨Emphasise Your Autonomy and Innovation
Since this is a founding role, it’s crucial to convey your ability to work independently and innovate. Share examples of when you’ve experimented with new approaches or adapted existing models to meet specific needs. This will highlight your readiness to take full ownership of the technical direction at A1.
