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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 A1, a pioneering independent AI group with a global vision.
- Benefits: Enjoy competitive pay, flexible work options, and the chance to lead impactful projects.
- Why this job: Be a founding engineer and make a real difference in the AI landscape.
- Qualifications: Experience in machine learning and a passion for building cutting-edge technology.
- Other info: Work in a dynamic environment with opportunities for personal and professional growth.
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 Bolton employer: A1
Contact Detail:
A1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Machine Learning Engineer in Bolton
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning community. Attend meetups, webinars, or conferences where you can connect with potential colleagues or employers. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to model architectures or training pipelines. This is your chance to demonstrate your expertise and creativity in building impactful AI solutions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of state-of-the-art methods and frameworks. Practice coding challenges and system design questions that relate to scalable inference systems and model selection.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about shaping the future of AI. Your next big opportunity could be just a click away!
We think you need these skills to ace Founding Machine Learning Engineer in Bolton
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and machine learning. Share any personal projects or experiences that highlight your skills and passion for the field. We want to know what drives you!
Tailor Your Application: Make sure to customise your application to fit the role of Founding Machine Learning Engineer. Highlight relevant experiences and skills that align with our needs, like building training pipelines or designing model architectures. This shows us you’re serious about joining our team.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at A1
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest frontier models like LLaMA and Mistral. Be prepared to discuss your experience with model selection and training strategies, as this role is all about shaping the core technical direction.
✨Showcase Your System Design Skills
Be ready to talk about your experience designing end-to-end training pipelines and scalable inference systems. Bring examples of past projects where you’ve built or adapted architectures, and don’t shy away from discussing challenges you faced and how you overcame them.
✨Demonstrate Your Experimentation Mindset
This role offers full autonomy to experiment, so highlight any innovative approaches you’ve taken in previous roles. Discuss how you’ve used state-of-the-art methods like LoRA or QLoRA to fine-tune models and what results you achieved.
✨Prepare Questions That Matter
Think of insightful questions that show your interest in A1’s mission and the impact of your work. Ask about their vision for the product capabilities and how they see the role evolving, which will demonstrate your commitment to contributing meaningfully.
