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- Tasks: Lead machine learning innovations and guide cross-functional teams to drive business success.
- Company: Major retail company in the UK with a focus on technology and innovation.
- Benefits: Competitive salary, annual bonus scheme, and comprehensive benefits package.
- Why this job: Make a real impact in the retail industry through cutting-edge machine learning solutions.
- Qualifications: Proven experience in software development and leadership in machine learning.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
The predicted salary is between 54000 - 84000 £ per year.
A technology recruitment agency is collaborating with a major retail company in the UK to hire a Principal Software Development Engineer. The successful candidate will lead innovations in machine learning engineering, impact business outcomes through code, and guide cross-functional teams.
Responsibilities include:
- Defining technical strategies
- Establishing best practices
- Mentoring
The role offers competitive compensation, including an annual bonus scheme and various benefits.
Principal ML Software Engineer — Lead ML Platforms employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal ML Software Engineer — Lead ML Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 machine learning projects and contributions. This is your chance to demonstrate how you can impact business outcomes through code, just like the role requires.
✨Tip Number 3
Prepare for interviews by brushing up on technical strategies and best practices in ML engineering. Be ready to discuss how you've led teams and mentored others, as these are key aspects of the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Principal ML Software Engineer — Lead ML Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal ML Software Engineer role. Highlight your expertise in machine learning engineering and any leadership experience you have, as this will show us you're a great fit for the position.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about leading innovations in machine learning and how you can impact business outcomes through your work. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We love seeing real examples of your work, especially those that demonstrate your ability to define technical strategies and establish best practices in ML engineering.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at hackajob
✨Know Your ML Inside Out
Make sure you brush up on your machine learning concepts and frameworks. Be ready to discuss your past projects in detail, especially how they impacted business outcomes. This will show your depth of knowledge and practical experience.
✨Showcase Your Leadership Skills
Since this role involves guiding cross-functional teams, prepare examples of how you've successfully led teams in the past. Highlight your mentoring experiences and how you've established best practices in previous roles.
✨Define Your Technical Strategies
Think about the technical strategies you've implemented before and be ready to discuss them. This could include how you approached problem-solving or how you defined a project’s direction. Companies love candidates who can think strategically!
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current ML initiatives and future goals. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations. It’s a two-way street!
