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- Tasks: Design and implement machine learning models using Python to solve real-world problems.
- Company: DXC Technology, a leader in tech innovation with a focus on diversity.
- Benefits: Inclusive workplace, competitive salary, flexible working hours, and growth opportunities.
- Other info: Encouraging applications from all backgrounds, especially women and underrepresented groups.
- Why this job: Join a diverse team and work on exciting machine learning projects that make a difference.
- Qualifications: Experience in Python and a passion for machine learning.
The predicted salary is between 50000 - 70000 £ per year.
DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates.
Location: Ersk
Machine Learning Engineer | Python in Newcastle upon Tyne employer: DXC
Contact Detail:
DXC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer | Python in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning enthusiasts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practise explaining your thought process clearly, as communication is key in tech roles. We want to see how you think, not just what you know!
✨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 hearing from diverse candidates, so don’t hesitate to put yourself out there!
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your Python skills and any relevant projects you've worked on. We want to see how your experience aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about machine learning and how you can contribute to our diverse team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've got any cool machine learning projects, make sure to mention them! Whether it's a personal project or something from your studies, we want to see what you've been up to. Include links if possible!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at DXC
✨Know Your Stuff
Make sure you brush up on your Python skills and machine learning concepts. Be ready to discuss algorithms, data structures, and any relevant projects you've worked on. The more confident you are in your technical knowledge, the better you'll perform.
✨Show Your Passion
Let your enthusiasm for machine learning shine through! Talk about what excites you about the field, any personal projects you've undertaken, or recent advancements that have caught your eye. This will help you connect with the interviewers and show them you're genuinely interested.
✨Prepare for Behavioural Questions
DXC Technology values diverse teams, so be prepared to discuss how your unique background contributes to your work. Think of examples that showcase your teamwork, problem-solving skills, and adaptability. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Ask Thoughtful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how they support diversity and inclusion. This shows that you're not just interested in the job, but also in the company culture and values.