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- Tasks: Lead impactful machine learning projects and mentor fellow engineers in a fully remote setting.
- Company: A leading UK technology firm focused on AI innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of AI while working on cutting-edge machine learning solutions.
- Qualifications: Strong Python skills and experience with ML frameworks like TensorFlow or PyTorch.
- Other info: Collaborative environment that values responsible AI principles.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm in the UK is seeking a Staff Machine Learning Engineer to lead impactful projects in a fully remote environment. This role involves designing, developing, and deploying end-to-end machine learning solutions while mentoring engineers and shaping technical strategy.
The ideal candidate will have strong Python skills and experience with ML frameworks like TensorFlow or PyTorch. You will collaborate across teams and uphold responsible AI principles, contributing to the company's growth in AI capabilities.
Staff ML Engineer - Lead ML Strategy (Remote Europe) in Manchester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Engineer - Lead ML Strategy (Remote Europe) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨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 and highlight your Python and ML framework expertise.
✨Tip Number 3
Prepare for the interview by brushing up on common ML concepts and frameworks like TensorFlow and PyTorch. Practice explaining your past projects and how they align with responsible AI principles—this will impress the hiring team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Staff ML Engineer - Lead ML Strategy (Remote Europe) in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python prowess and any experience you have with ML frameworks like TensorFlow or PyTorch. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past experiences relate to leading ML projects and mentoring others. It helps us see why you’re the perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your journey and achievements.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
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, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. You might be asked to solve coding problems or explain your approach to building machine learning models. Practise common algorithms and data structures to ensure you're sharp.
✨Understand Responsible AI Principles
Familiarise yourself with responsible AI practices. Be prepared to discuss how you would implement ethical considerations in your projects and how you can contribute to the company's growth in AI capabilities.
✨Collaboration is Key
Since this role involves working across teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you mentor junior engineers, as this will show your leadership potential.
