Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and optimise machine learning models for real-world applications.
- Company: Fast-growing AI scale-up focused on innovative systems.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Why this job: Join a team building scalable AI systems that make a real impact.
- Qualifications: Experience in machine learning and a passion for engineering.
- Other info: Collaborative environment with exciting challenges and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
🤖 Machine Learning Engineer | Scalable AI Systems
A fast-growing AI scale up is building the next generation of intelligent, high-performance systems – combining machine learning and systems optimization to power real-world applications at scale.
As an ML Engineer, you’ll take models from idea to production – implementing, optimizing, and scaling them to handle massive workloads efficiently. You will be collaborating closely with other engineers to build AI systems that are reliable, maintainable, and ready for real-world deployment.
💡 What you’ll do:
• Develop, deploy, and optimize ML models for production use
• Integrate & monitor AI pipelines with engineering teams
• Ensure models are efficient, scalable, & aligned with product goals
If you’re excited to engineer AI systems that truly scale, this is your chance to make a meaningful impact.
Machine Learning Engineer employer: Acceler8 Talent
Contact Detail:
Acceler8 Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to fellow ML engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Tailor your application to highlight how your skills align with the role, and let’s get you that dream job!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for machine learning and AI shine through. We want to see that you’re not just skilled, but genuinely excited about building scalable systems and tackling real-world challenges.
Highlight Relevant Experience: Make sure to showcase any previous projects or roles where you've developed, deployed, or optimised ML models. We love seeing concrete examples of how you've taken ideas to production and made an impact in your past work.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to our job description. Mention specific skills and experiences that align with what we’re looking for in a Machine Learning Engineer.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Acceler8 Talent
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've worked with in detail. Be prepared to explain how you developed, deployed, and optimised them, as well as the challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since you'll be working closely with other engineers, highlight your teamwork experience. Share examples of how you've successfully collaborated on projects, particularly in integrating AI pipelines or optimising systems.
✨Understand the Product Goals
Familiarise yourself with the company's products and how they use AI. Be ready to discuss how your work as an ML Engineer can align with their goals and contribute to building scalable systems that meet real-world demands.
✨Prepare for Technical Questions
Expect technical questions related to machine learning algorithms, system optimisation, and scalability. Brush up on key concepts and be ready to solve problems on the spot, demonstrating your analytical thinking and problem-solving skills.