Founding Machine Learning Engineer in Manchester
Founding Machine Learning Engineer

Founding Machine Learning Engineer in Manchester

Manchester Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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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 full autonomy, competitive salary, and the chance to work on 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 Manchester employer: A1

A1 is an exceptional employer for those passionate about machine learning and AI, offering a unique opportunity to shape the future of consumer applications with global impact. With a focus on autonomy and innovation, employees are encouraged to experiment with cutting-edge technologies and contribute to high-impact projects in a collaborative and dynamic work culture. Located in a vibrant tech hub, A1 provides ample opportunities for professional growth and development, making it an ideal place for talented individuals looking to make a meaningful difference in the AI landscape.
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Contact Detail:

A1 Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Founding Machine Learning Engineer in Manchester

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and ML community, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving model architectures or training pipelines. We want to see your hands-on experience and creativity in action, so don’t hold back!

✨Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of state-of-the-art methods and frameworks. We recommend practising coding challenges and discussing your thought process out loud to demonstrate your problem-solving skills.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our elite team at A1.

We think you need these skills to ace Founding Machine Learning Engineer in Manchester

Machine Learning
Model Selection
Training Strategy
Infrastructure Design
Long-term Architecture Planning
End-to-End Training Pipelines
Model Architecture Design
Fine-tuning Models
State-of-the-Art Methods (LoRA/QLoRA, SFT, DPO, distillation)
Scalable Inference Systems (vLLM, TensorRT-LLM, DeepSpeed)
Data Systems Development
Synthetic Data Generation
Real-world Data Integration
Experimentation with Frontier Models (LLaMA, Mistral, Qwen, Claude-compatible architectures)

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 technology.

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 highlight your expertise.

Tailor Your Application: Make sure to customise your application to reflect the role at A1. Highlight experiences that align with our focus on model selection, training strategies, and scalable architectures. This shows us you’ve done your homework!

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with A1.

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 their architectures, strengths, and weaknesses, as well as how you would adapt them for A1's specific needs.

✨Showcase Your Pipeline Skills

Be ready to talk about your experience with end-to-end training pipelines. Bring examples of how you've built or optimised data flows from training to inference, and be specific about the tools and frameworks you used.

✨Demonstrate Problem-Solving Abilities

A1 is looking for someone who can tackle high-impact problems. Prepare to discuss challenges you've faced in previous projects and how you approached solving them, especially in terms of model selection and infrastructure design.

✨Emphasise Autonomy and Innovation

Since this is a founding role, highlight instances where you’ve taken initiative or experimented with new approaches. Discuss any unique solutions you've developed when existing methods fell short, showcasing your ability to innovate.

Founding Machine Learning Engineer in Manchester
A1
Location: Manchester
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  • Founding Machine Learning Engineer in Manchester

    Manchester
    Full-Time
    36000 - 60000 £ / year (est.)
  • A

    A1

    50-100
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