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- Tasks: Build and optimise machine learning models using Python and popular libraries.
- Company: Leading tech firm in London with a hybrid work culture.
- Benefits: Competitive day rate, flexible working, and opportunities for skill enhancement.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 3-4 years of ML experience and strong Python skills required.
- Other info: Exciting 9-month contract with potential for career advancement.
The predicted salary is between 43200 - 50400 £ per year.
Learn more about the general tasks related to this opportunity below, as well as required skills.
Location: London (Hybrid)
Duration: 9 Months
Day rate: £600 - £700 Inside IR35
Skills & Experience required:
- 3-4 years of relevant experience
- Python proficiency and familiarity with popular libraries
- Knowledge of frameworks for building complex ML models (e.g. TensorFlow, PyTorch or Keras)
- Ability to pre-process and feature engineer data
ML Engineer in London employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the ML field and let them know you're on the hunt for an ML Engineer role. You never know who might have a lead or can refer you directly to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML projects, especially those using Python and popular libraries like TensorFlow or PyTorch. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and coding challenges related to data pre-processing and feature engineering to impress your interviewers.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates. Let's get you that ML Engineer gig!
We think you need these skills to ace ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any ML frameworks like TensorFlow or PyTorch. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about machine learning and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them in your application. We’re keen to see your hands-on experience, so include links to your GitHub or any relevant portfolios if you have them!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Experis
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with popular libraries and frameworks like TensorFlow, PyTorch, or Keras. Practising coding challenges can help you demonstrate your proficiency.
✨Showcase Your ML Projects
Prepare to talk about specific machine learning projects you've worked on. Highlight your role in pre-processing data, feature engineering, and building models. Having a portfolio or GitHub repository to share can really impress the interviewers.
✨Understand the Business Context
Research the company and understand how they use machine learning in their operations. Being able to connect your technical skills to their business needs will show that you're not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. This could be about their current ML projects, team dynamics, or future goals. It shows your genuine interest in the role and helps you assess if it's the right fit for you.
