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- Tasks: Build and optimise AI models to tackle complex business challenges.
- Company: Join a global leader in the Artificial Intelligence industry.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with data scientists and business analysts.
- Why this job: Make a real impact by developing cutting-edge machine learning solutions.
- Qualifications: Advanced knowledge of machine learning and strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
Sourced is seeking a Machine Learning Software Developer for a remote contract position. The role involves developing and training machine learning models using TensorFlow and Scikit-learn to solve complex business problems.
Successful candidates will work collaboratively with data scientists and business analysts and must have advanced knowledge of machine learning concepts and strong analytical skills.
This is an opportunity to join a global leader in the Artificial Intelligence industry.
Remote ML Engineer — Build & Optimize AI Models in London employer: Sourced
Contact Detail:
Sourced Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer — Build & Optimize AI Models in London
✨Tip Number 1
Network like a pro! Reach out to fellow ML engineers and data scientists on LinkedIn or relevant forums. Engaging with the community can lead to hidden job opportunities and valuable insights.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using TensorFlow and Scikit-learn. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and algorithms. Practice coding challenges related to machine learning problems to boost your confidence and performance during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge in the hiring process.
We think you need these skills to ace Remote ML Engineer — Build & Optimize AI Models in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with TensorFlow and Scikit-learn in your application. We want to see how you've tackled complex problems using these tools, so don’t hold back!
Collaborate Like a Pro: Since you'll be working with data scientists and business analysts, it’s important to showcase your teamwork skills. Share examples of how you’ve collaborated on projects in the past to solve business challenges.
Be Analytical: We’re looking for candidates with strong analytical skills. In your application, include specific instances where your analytical thinking led to successful outcomes in machine learning projects.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Sourced
✨Know Your ML Models
Make sure you brush up on your knowledge of machine learning models, especially those using TensorFlow and Scikit-learn. Be ready to discuss how you've applied these tools in past projects and the outcomes they produced.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical skills by discussing specific examples where you've solved complex problems using data. Think about the challenges you faced and how you approached them, as this will show your problem-solving capabilities.
✨Collaborative Spirit
Since the role involves working with data scientists and business analysts, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked in teams to achieve common goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects or challenges they face in AI, which will demonstrate your enthusiasm and proactive mindset.