At a Glance
- Tasks: Design and optimise ML models for real-time insights in a fast-paced startup.
- Company: Exciting UK start-up with a focus on innovation and growth.
- Benefits: Competitive salary up to £90k, equity, and fully remote work.
- Other info: Opportunity to influence technical strategy and career growth.
- Why this job: Join a core team and shape the future of machine learning technology.
- Qualifications: Strong Python skills and experience with deep learning frameworks.
The predicted salary is between 72000 - 108000 £ per year.
Overview
Machine Learning Engineer – Salary: Up to £90k + Equity – Location: Fully Remote in UK. I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engineer to join their growing team.
As a core early team member, you’ll design, optimize, and deploy models that make real-time insights possible, all while shaping the technical direction of a fast-moving startup.
What You’ll Own
- Build and optimize ML models
- Turn research prototypes into production-ready systems
- Collaborate across product, hardware, and data teams to tackle real-world challenges
- Influence technical strategy and contribute to the startup’s growth and product roadmap
What We’re Looking For
- Strong Python and deep learning skills (PyTorch/TensorFlow)
- Experience with TinyML frameworks (TensorFlow Lite, TVM, ExecuTorch)
- Expertise in model optimization for constrained devices (quantization, pruning, compression)
- Ability to take ownership and thrive in a fast-paced, flexible startup environment
This role does not offer sponsorship!
If you are interested, please reach out to daniel.wexler@sourcegroupinternational.com
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Engineering and Information Technology
- Industries: Staffing and Recruiting
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ML Engineer in Manchester employer: SGI
Join a dynamic start-up as a Machine Learning Engineer, where you'll play a pivotal role in shaping the future of technology from the comfort of your home. Enjoy a competitive salary of up to £90k plus equity, while collaborating with a passionate team that values innovation and personal growth. With a fully remote work culture, you’ll have the flexibility to thrive in a fast-paced environment, making a real impact on the company's product roadmap and technical strategy.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using Python and deep learning frameworks. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key in a collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace ML Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your Python and deep learning skills, and don’t forget to mention any experience with TinyML frameworks. We want to see how you can contribute to our exciting start-up!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your skills align with our needs. Let us know how you can help shape the technical direction of our team.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's research prototypes or production-ready systems, we love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. We can’t wait to hear from you!
How to prepare for a job interview at SGI
✨Know Your Tech Inside Out
Make sure you brush up on your Python and deep learning skills, especially with PyTorch and TensorFlow. Be ready to discuss your experience with TinyML frameworks and model optimisation techniques, as these will be key topics during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world challenges in previous projects. Think about specific instances where you turned research prototypes into production-ready systems, as this will demonstrate your ability to contribute to the startup's growth.
✨Emphasise Collaboration
Since this role involves working across product, hardware, and data teams, be ready to talk about your collaborative experiences. Highlight any projects where you worked with diverse teams to achieve a common goal, showcasing your teamwork skills.
✨Demonstrate Your Startup Mindset
This is a fast-paced environment, so convey your adaptability and ownership mentality. Share examples of how you've thrived in flexible settings and how you can influence technical strategy, which will resonate well with the startup culture.
