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For Companies At a Glance
- Tasks: Design and build cutting-edge machine learning models that make a real difference.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and shape the future of applications.
- Qualifications: Degree in a relevant field and 5+ years of machine learning experience.
- Other info: Dynamic team environment with a focus on continuous improvement and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
Please be aware that the provided salary range serves as a general reference. If you possess exceptional skills or can significantly contribute to the project’s success, we are open to considering higher salaries beyond the specified range.
Skills
- Degree in Computer Science, Data Science, AI, or a related technical field
- 5+ years of experience in machine learning or data-driven software development
- Strong knowledge of machine learning algorithms and model evaluation techniques
- Experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Understanding of data preprocessing, feature engineering, and model optimisation
- Experience deploying models into production environments
- Familiarity with cloud-based AI services and MLOps concepts
- Strong analytical and problem-solving skills
Responsibilities
- Design, build, train, and evaluate machine learning models
- Work with data engineers to prepare and validate datasets
- Deploy and monitor models in production environments
- Improve model performance, reliability, and explainability
- Collaborate with architects and developers to integrate AI into applications
- Document models, assumptions, and limitations clearly
- Contribute to continuous improvement of AI practices and standards
AI / Machine Learning Engineer in London employer: Sapfix Ltd
Contact Detail:
Sapfix Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community. Attend meetups, webinars, or conferences. 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, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your algorithms and model evaluation techniques. Practice explaining your thought process clearly, as communication is key in this field.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about AI and machine learning. It shows initiative and enthusiasm!
We think you need these skills to ace AI / Machine Learning Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and data-driven software development. We want to see how your skills align with the job description, so don’t hold back on showcasing your knowledge of algorithms and frameworks like TensorFlow or PyTorch!
Tailor Your Application: Take a moment to customise your application for this role. Use keywords from the job description to demonstrate that you understand what we’re looking for. This shows us you’re genuinely interested and have done your homework!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant, and make sure to explain any technical terms you use.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at Sapfix Ltd
✨Know Your Algorithms
Brush up on your machine learning algorithms and model evaluation techniques. Be ready to discuss how you've applied these in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since Python and ML frameworks like TensorFlow and PyTorch are crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning.
✨Discuss Deployment Experience
Be prepared to talk about your experience deploying models into production environments. Highlight any specific cloud-based AI services or MLOps concepts you've worked with, and how you ensured model performance and reliability.
✨Collaborate and Communicate
This role involves working closely with data engineers and developers. Think of examples where you've successfully collaborated on projects, and be ready to discuss how you document your models and communicate assumptions and limitations clearly.
