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For Companies At a Glance
- Tasks: Develop and implement machine learning models while optimising Python code for performance.
- Company: Global software organisation focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a team that leverages cutting-edge technology to make a real impact.
- Qualifications: Strong Python skills, machine learning experience, and teamwork abilities.
- Other info: Dynamic environment with a focus on continuous learning and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
About Our Client
The employer is a global organisation within the software space, committed to delivering high-quality solutions through advanced technology. They focus on fostering a collaborative environment and prioritise innovation in their field.
Job Description
- Develop and implement machine learning models to support project requirements.
- Optimise Python code to ensure performance and scalability.
- Collaborate with cross-functional teams to design and deliver technical solutions.
- Analyse and interpret data to provide actionable insights.
- Maintain and enhance existing machine learning systems and frameworks.
- Document code and processes to ensure clarity and reproducibility.
- Stay updated with the latest advancements in machine learning and Python development.
- Assist in troubleshooting and resolving technical issues as they arise.
The Successful Applicant
A successful Python/Machine Learning Developer should have:
- Strong proficiency in Python programming and PyTorch.
- Strong machine learning experience.
- Experience in Linux/Containers/Docker.
- Capability to read, understand and implement from papers, i.e. Arxiv etc.
- Willingness to trial, implement and iterate rapidly on development solutions prior to refinement into production workflow.
- Prior experience specifically in Computer Vision is a bonus.
- Familiarity with software development lifecycle and best practices.
- Ability to work effectively in a team environment and communicate technical concepts clearly.
- Problem-solving skills and a proactive approach to challenges.
Machine Learning/Python Developer in Newcastle upon Tyne employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning/Python Developer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a GitHub portfolio showcasing your machine learning projects and Python code. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to machine learning and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented developers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning/Python Developer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and machine learning skills. We want to see how your experience aligns with the job description, so don’t be shy about showcasing relevant projects or technologies you've worked with!
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 you can contribute to our innovative environment. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in past projects. We’re looking for developers who can think on their feet and come up with creative solutions, so let us know how you’ve done this before!
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 to join our team!
How to prepare for a job interview at Michael Page
✨Know Your Tech Inside Out
Make sure you brush up on your Python and machine learning skills before the interview. Be ready to discuss your experience with PyTorch and any relevant projects you've worked on. They’ll likely ask you to explain your thought process behind developing models, so be prepared to dive deep into the technical details.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous projects. Think about specific instances where you optimised code or resolved technical issues. This will demonstrate your proactive approach and ability to work through problems effectively, which is key for this role.
✨Collaborate and Communicate
Since the employer values collaboration, be ready to discuss how you've worked with cross-functional teams in the past. Highlight your communication skills and how you’ve explained complex technical concepts to non-technical team members. This will show that you can fit into their collaborative environment.
✨Stay Current with Trends
Make sure you’re up-to-date with the latest advancements in machine learning and Python development. Mention any recent papers or technologies you’ve explored, especially in areas like Computer Vision. This shows your enthusiasm for the field and your commitment to continuous learning.