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- Tasks: Transform data science models into scalable ML solutions and build robust pipelines.
- Company: A leading data-driven organisation based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact with cutting-edge machine learning technology.
- Qualifications: 2+ years of ML experience, strong Python skills, and knowledge of TensorFlow or PyTorch.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A data-driven organisation is seeking a Machine Learning Engineer in London. The role involves translating data science models into scalable solutions and building robust ML pipelines.
Candidates should have:
- 2+ years of experience in deploying ML systems
- A strong academic background
- Proficiency in Python and ML frameworks like TensorFlow and PyTorch
This is a hands-on position requiring close collaboration with cross-functional teams, focusing on delivering high-value machine learning solutions.
Senior ML Engineer: Production-Ready & Scalable ML in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Production-Ready & Scalable ML 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 a Senior ML Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML projects, especially those involving scalable solutions and robust pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML frameworks like TensorFlow and PyTorch. Practice coding challenges and be ready to discuss your past experiences deploying ML systems.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior ML Engineer: Production-Ready & Scalable ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deploying ML systems and your proficiency in Python and frameworks like TensorFlow and PyTorch. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
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 perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any production-ready ML solutions or robust pipelines, make sure to mention them! We appreciate candidates who can demonstrate their hands-on experience and the impact of their work in previous roles.
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 awesome team!
How to prepare for a job interview at Harnham
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of TensorFlow and PyTorch. Be ready to discuss specific projects where you've used these frameworks, including challenges you faced and how you overcame them.
✨Showcase Your Deployment Experience
Since the role requires deploying ML systems, prepare to talk about your past experiences in this area. Highlight any production-ready solutions you've built and the impact they had on the organisation.
✨Collaboration is Key
This position involves working closely with cross-functional teams. Think of examples where you've successfully collaborated with others, and be ready to explain how you communicate complex technical concepts to non-technical stakeholders.
✨Prepare for Technical Questions
Expect some hands-on technical questions or coding challenges during the interview. Practice solving problems in Python and be prepared to explain your thought process as you work through them.
