At a Glance
- Tasks: Develop and optimise machine learning models for innovative AI products.
- Company: Fast-growing AI scale-up based in London with a dynamic team.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement.
- Why this job: Join a cutting-edge team and make an impact in the AI space.
- Qualifications: 4+ years in Machine Learning Engineering and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
For one of our clients, a fast-growing AI scale-up based in London, we are looking for a Machine Learning Engineer to help develop, deploy, and optimise machine learning models powering intelligent customer-facing products used at scale. You will work alongside data scientists, software engineers, and product teams to build production-ready ML solutions, improve model performance, and support the delivery of innovative AI-driven features.
Key Technical Requirements
- Python
- PyTorch
- TensorFlow
- MLOps
- AWS or GCP
Experience Required
- 4+ years in Machine Learning Engineering
- Experience deploying machine learning models into production environments
- Experience working with large-scale datasets and data pipelines
- Strong understanding of model training, evaluation, and optimisation techniques
Nice to Have
- LLM or Generative AI experience
- Feature engineering and model monitoring
- Kubernetes and containerisation technologies
- Experience with real-time inference systems
Machine Learning Engineer employer: XpertDirect
Join a dynamic and innovative AI scale-up based in London, where you will be part of a collaborative team dedicated to pushing the boundaries of machine learning technology. With a strong focus on employee growth, we offer opportunities for professional development and a vibrant work culture that encourages creativity and innovation. Enjoy the flexibility of remote work while contributing to cutting-edge projects that make a real impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, make sure potential employers can see what you're capable of. This is your chance to shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around Python, PyTorch, and TensorFlow. Practice common ML interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Keep an eye on our listings and make sure your application stands out by tailoring it to each role. Let's land that dream job together!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, PyTorch, and TensorFlow, and don’t forget to mention any MLOps or cloud experience you have. We want to see how your skills match up with what we’re looking for!
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 background makes you a great fit for our team. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this role.
Showcase Your Projects:If you’ve worked on any cool projects, especially those involving large-scale datasets or real-time inference systems, make sure to include them in your application. We’re keen to see practical examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at XpertDirect
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and TensorFlow. Brush up on your MLOps knowledge and be ready to discuss how you've deployed models in production. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous projects, especially with large-scale datasets. Think of a couple of scenarios where you optimised model performance or improved data pipelines, and be ready to explain your thought process.
✨Familiarise Yourself with Their Products
Research the company’s AI-driven products and think about how your skills can contribute to their success. Being able to discuss their offerings and suggest potential improvements will show your genuine interest and initiative.
✨Ask Insightful Questions
Prepare some thoughtful questions about their tech stack, team dynamics, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
