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Senior Machine Learning Engineer
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Senior Machine Learning Engineer – Marketing Optimisation (Remote, UK) Location: Remote, UK
Employment Type: Permanent Full-time
Hours: Flexible Monday – Friday, 40 hours per week
Travel: Some travel abroad to meet with global team and external stakeholders.
At Les Mills International, we’re not just about fitness; Our mission is to revolutionize the fitness industry with innovative solutions that inspire people to fall in love with fitness. We are recognized globally for our cutting-edge fitness programs and commitment to health and wellness.
We’re seeking a Senior Machine Learning Engineer with expertise in marketing optimization to join the new LMI AI function. Working closely with the head of AI, the head of data engineering and the marketing team your focus will be on the development of a new ML based capability to enhance global LMI marketing campaign performance.
Leverage historical customer behaviour and marketing campaign data
Develop and deploy a new predicted Lifetime Value (pLTV) based targeting capability into the LMI marketing stack.
If you have a background in applying ML methods to boost marketing performance, you’re passionate about building innovative solutions from the ground up and enjoy solving real world problems by developing robust AI based systems this is the perfect opportunity for you
Develop and deploy ML models to predict customer metrics (such as pLTV) as our customers interact with our ecosystem.
Collaborate with the marketing team to define, prototype, and integrate new ML-based capabilities with existing data flows and marketing strategies.
Work with the data engineering team to build and maintain feature pipelines on top of our data warehouse (Snowflake, DBT).
Monitor and optimize deployed ML systems to deliver upgrades to LMI marketing campaign performance on target KPIs such as return on ad spend (ROAS).
Stay abreast of the latest advancements in AI and machine learning and look for ways to leverage these to further marketing performance.
Design and build systems from the ground up in line with MLOps and Software Engineering best practices.
Experience: 5+ years in end-to-end ML system development with a focus on customer behaviour and marketing optimisation.
Proven track record in building scalable ML systems using modern MLOps practices.
Skills: Proficiency in ML modelling frameworks, strong Python skills, and SQL knowledge.
Enthusiasm : for staying up to date with the latest advancements in AI and applying new ML technology to solve real-world problems.
While pLTV based targeting optimisation is the first marketing stack improvement that this role will be focused on, experience with any of the following will also be highly beneficial:
Natural Language Processing (NLP)
Testing Frameworks
Flexibility: Work remotely from anywhere within the UK with flexible hours tailored around your life.
Global Impact: Be part of a mission-driven company that’s making a difference worldwide.
Enjoy opportunities for professional development and global travel to meet with your team members abroad.
Commitment to employee well-being and work-life balance.
If you’re ready to use your expertise in Machine Learning Engineering to make an impact on fitness worldwide while advancing your career within an empowering environment, apply now and let’s create a fitter planet together
