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- Tasks: Join a dynamic team to enhance global marketing using ML and AI models.
- Company: Work with a leading subscription-based company at the forefront of technology.
- Benefits: Enjoy remote work flexibility and competitive salary up to £90,000.
- Why this job: Make a real impact on marketing strategies while collaborating with top professionals.
- Qualifications: 4+ years in ML development, especially in customer behavior and marketing.
- Other info: Strong communication skills are essential for engaging with non-technical stakeholders.
The predicted salary is between 54000 - 126000 £ per year.
SENIOR MACHINE LEARNING ENGINEER REMOTE UP TO £90,000 COMPANY: We are working with a leading subscriptions based company looking to stay at the cutting edge through the use Machine Learning and AI models. ROLE: We are looking for a Sr MLE with a strong background in marketing optimisation to join their new function. 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 marketing models such as churn, CLV etc.. Build and deploy various ML models Stay up to date with MLOps and Software best practices. REQUIREMENTS: 4+ Years in proven end to end ML development Specifically within the context of customer behaviour and marketing. Strong communication skills with non technical stakeholders If this role looks of interest, please reach out to Joseph Gregory
Senior Machine Learning Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience in marketing optimization during any conversations. Highlight specific projects where you've successfully applied machine learning to improve customer behavior insights or marketing campaigns.
✨Tip Number 2
Familiarize yourself with the latest trends in MLOps and software best practices. Being able to discuss how you implement these practices in your work will demonstrate your commitment to staying at the cutting edge of technology.
✨Tip Number 3
Prepare to discuss your communication skills, especially how you've effectively collaborated with non-technical stakeholders. Share examples of how you've translated complex ML concepts into actionable insights for marketing teams.
✨Tip Number 4
Research the company’s current marketing strategies and think about how your expertise in machine learning can enhance their efforts. Tailoring your insights to their specific needs can set you apart from other candidates.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning development, particularly in marketing optimization. Include specific projects or models you've worked on that relate to customer behavior and marketing campaigns.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, especially your experience with MLOps and communication with non-technical stakeholders.
Showcase Relevant Projects: If you have any relevant projects or case studies, mention them in your application. Highlight your contributions to building and deploying ML models, especially those related to churn and customer lifetime value (CLV).
Follow Up: After submitting your application, consider sending a brief follow-up email to express your continued interest in the position. This can help keep your application top of mind for the hiring team.
How to prepare for a job interview at Harnham
✨Showcase Your ML Expertise
Be prepared to discuss your experience with end-to-end machine learning development. Highlight specific projects where you've optimized marketing strategies using ML models, such as churn prediction or customer lifetime value.
✨Communicate Effectively
Since strong communication skills with non-technical stakeholders are crucial, practice explaining complex concepts in simple terms. Use examples from your past experiences to demonstrate how you’ve successfully communicated technical information.
✨Stay Updated on MLOps
Familiarize yourself with the latest MLOps practices and software best practices. Be ready to discuss how you have implemented these in your previous roles to improve model deployment and maintenance.
✨Understand Customer Behavior
Prepare to talk about your understanding of customer behavior analytics. Discuss how you have utilized customer data to inform marketing decisions and the impact it had on campaign success.
