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- Tasks: Develop and deploy machine learning models to enhance marketing strategies.
- Company: Join a leading subscription-based company at the forefront of AI innovation.
- Benefits: Enjoy a hybrid work model with flexibility and a focus on cutting-edge technology.
- Why this job: Be part of a dynamic team driving global marketing efforts through advanced ML solutions.
- Qualifications: 4+ years of experience in end-to-end machine learning development required.
- Other info: Work closely with the Head of AI and marketing teams for impactful projects.
The predicted salary is between 43200 - 72000 £ per year.
SENIOR MACHINE LEARNING ENGINEER REMOTE
We are working with a leading subscriptions based company looking to stay at the cutting edge through the use Machine Learning and AI models.
You will be working closely with the Head of AI and wider marketing team to enhance global marketing efforts
Utilise customer behaviour and marketing campaign data.
Build and deploy various ML models
Stay up to date with MLOps and Software best practices.
4+ Years in proven end to end ML development
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Machine Learning Engineer - Hybrid employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Hybrid
✨Tip Number 1
Make sure to showcase your experience with end-to-end machine learning development. Highlight specific projects where you've built and deployed ML models, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Stay updated on the latest trends in MLOps and software best practices. Being knowledgeable about current tools and methodologies can set you apart from other candidates.
✨Tip Number 3
Emphasize your ability to work collaboratively with cross-functional teams, especially in marketing. Share examples of how you've used customer behavior data to drive marketing strategies.
✨Tip Number 4
Prepare to discuss your approach to enhancing global marketing efforts through AI. Think about specific metrics or outcomes you've achieved in previous roles that align with this goal.
We think you need these skills to ace Machine Learning Engineer - Hybrid
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 4+ years of experience in end-to-end machine learning development. Provide specific examples of projects you've worked on, particularly those that involved customer behavior analysis and marketing campaign data.
Showcase Technical Skills: List the machine learning frameworks and tools you are proficient in. Mention any experience with MLOps and software best practices, as these are crucial for the role.
Tailor Your Application: Customize your CV and cover letter to reflect the job description. Use keywords from the posting, such as 'AI models', 'global marketing efforts', and 'ML models' to demonstrate your fit for the position.
Express Enthusiasm for AI and Marketing: In your cover letter, convey your passion for machine learning and its application in marketing. Discuss how you can contribute to enhancing global marketing efforts through innovative ML solutions.
How to prepare for a job interview at Harnham
✨Showcase Your ML Expertise
Be prepared to discuss your previous machine learning projects in detail. Highlight specific models you've built, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand MLOps Principles
Since the role emphasizes staying up to date with MLOps, make sure you can articulate your understanding of MLOps practices. Discuss any tools or frameworks you’ve used for model deployment and monitoring, as this shows your commitment to best practices.
✨Connect with Marketing Insights
Since you'll be working closely with the marketing team, familiarize yourself with how machine learning can enhance marketing efforts. Be ready to discuss how customer behavior data can inform model development and improve campaign effectiveness.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current ML initiatives and future goals. This not only shows your interest in the position but also helps you gauge if the company aligns with your career aspirations.
