We are seeking a Machine Learning Engineer with a strong foundation in deep learning to join a cross-functional team. Youll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of data-rich challenges.
In this role youll contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalised customer targeting all at enterprise scale.
Key Responsibilities
- Collaborate with cross-functional teams to design implement and optimize machine learning models for real-world business use cases.
- Deploy and maintain both batch and real-time machine learning systems at scale.
- Work alongside data scientists to translate experimental models into robust production-ready solutions.
- Continuously improve model accuracy system efficiency and platform capabilities.
- Contribute to defining team best practices and engineering standards in machine learning development.
- Stay up to date with the latest industry research and bring new insights to the wider ML community within the business.
Qualifications :
About You
- Hands-on professional experience in developing and deploying machine learning solutions with a focus on deep learning.
- Experience working with modern ML frameworks and familiarity with end-to-end deployment workflows.
- Proficiency in training models using GPUs and a strong interest in distributed computing and scalable systems.
- Familiar with software development practices including version control CI/CD containerization and monitoring especially within ML Ops workflows.
- A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams.
- Motivated self-starter with a desire to learn share knowledge and grow in a fast-paced environment.
Additional Information :
BeneFITS
- Competitive salary and performance-based bonus scheme
- Generous employee discount and exclusive product access
- Structured personal and professional development opportunities
- Paid annual leave plus an additional day for special personal milestones
- Flexible benefits allowance and private medical care options
- Access to a variety of online learning resources and employee-led communities
- A supportive inclusive and dynamic workplace where innovation thrives
Remote Work :
No
Employment Type :
Full-time
We are seeking a Machine Learning Engineer with a strong foundation in deep learning to join a cross-functional team. Youll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of data-rich challenges.In this role youll contribute to dev...
We are seeking a Machine Learning Engineer with a strong foundation in deep learning to join a cross-functional team. Youll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of data-rich challenges.
In this role youll contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalised customer targeting all at enterprise scale.
Key Responsibilities
- Collaborate with cross-functional teams to design implement and optimize machine learning models for real-world business use cases.
- Deploy and maintain both batch and real-time machine learning systems at scale.
- Work alongside data scientists to translate experimental models into robust production-ready solutions.
- Continuously improve model accuracy system efficiency and platform capabilities.
- Contribute to defining team best practices and engineering standards in machine learning development.
- Stay up to date with the latest industry research and bring new insights to the wider ML community within the business.
Qualifications :
About You
- Hands-on professional experience in developing and deploying machine learning solutions with a focus on deep learning.
- Experience working with modern ML frameworks and familiarity with end-to-end deployment workflows.
- Proficiency in training models using GPUs and a strong interest in distributed computing and scalable systems.
- Familiar with software development practices including version control CI/CD containerization and monitoring especially within ML Ops workflows.
- A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams.
- Motivated self-starter with a desire to learn share knowledge and grow in a fast-paced environment.
Additional Information :
BeneFITS
- Competitive salary and performance-based bonus scheme
- Generous employee discount and exclusive product access
- Structured personal and professional development opportunities
- Paid annual leave plus an additional day for special personal milestones
- Flexible benefits allowance and private medical care options
- Access to a variety of online learning resources and employee-led communities
- A supportive inclusive and dynamic workplace where innovation thrives
Remote Work :
No
Employment Type :
Full-time
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