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The Machine Learning Engineer role at Datatonic is a full-time position located in London, England. As a premier partner of Google Cloud in AI, Datatonic is looking for an expert who is not just technically proficient but also has a desire to lead projects and engage directly with clients. The role demands a dynamic professional ready to shape the future of AI and data, contributing to innovative solutions that impact businesses significantly.
In this position, a Machine Learning Engineer will be responsible for a variety of tasks that emphasize both engineering and data science expertise. Duties include:
Translating Requirements: Candidates will be expected to interpret vague business requirements and transform them into practical models that solve real-world issues.
Data Science Tasks: Conducting machine learning experiments utilizing programming languages alongside libraries specific to machine learning.
Optimisation Procedures: Optimizing machine learning solutions to ensure they perform well under varying conditions and scales.
Custom Code Implementation: Implementing tailored machine learning code catered to the organization's specific requirements.
Data Engineering: Ensuring proficient data flow between databases and backend systems, showcasing an understanding of data infrastructure needs.
MLOps Practices: Automating machine learning workflows focusing on essential factors like testing, reproducibility, and effective feature/metadata storage.
Machine Learning Architecture: Creating machine learning architectures leveraging Google Cloud tools and services.
Production Engineering: Building and deploying production-worthy software for comprehensive machine learning and data-driven solutions.
To thrive in this position, prospective candidates should possess a range of skills:
Experience: A minimum of 1-3 years working as a Machine Learning Engineer, ideally with some consulting exposure.
Programming Proficiency: Mastery of Python as a backend language, with the ability to deliver well-tested production-ready code within CI/CD pipelines.
Cloud Knowledge: Understanding of cloud platforms, including Google Cloud, AWS, or Azure.
Software Engineering Skills: Practical understanding of basic software engineering principles is crucial for success in this role.
Database Management: Strong command of SQL for effective data querying and management tasks.
Scalability Expertise: Experience with scaling computations, particularly using GPUs or distributed computing frameworks.
Integration Skills: Familiarity with exposing machine learning elements through web services or wrappers, such as Flask in Python.
Soft Skills: Exceptional communication and presentation capabilities to explain technical concepts clearly and effectively.
Although not mandatory, having additional qualifications can significantly benefit candidates:
Datatonic emphasizes the well-being and professional development of its employees by offering extensive benefits, which include:
Health Perks: Access to private health insurance (Vitality Health) and smart health services to ensure physical well-being.
Fitness & Wellbeing: Significant discounts on gym memberships to promote a healthy lifestyle.
Hybrid Work Model: A work-from-home allowance ensures that employees can create a comfortable working environment.
Learning & Growth Opportunities: Access to educational platforms like Udemy to encourage ongoing professional development.
Pension Scheme: Automatic enrollment in a pension plan with employer contributions commencing after a probationary period.
Income Protection: Coverage offers up to 75% of base salary for up to two years, providing financial security.
Cycle to Work Scheme: Encouragement of sustainable commuting options.
Choosing to work at Datatonic means becoming part of a forward-thinking organization that prioritizes innovation in the field of AI and data. The commitment to keeping employees engaged and valued creates a vibrant workplace culture where ideas are shared and explored. Candidates eager to make an impactful contribution to the future of AI and data-driven solutions will find a supportive community dedicated to advancing technology and business capabilities.
Those who meet the qualifications and are ready for an exhilarating role at the forefront of machine learning should certainly consider applying. Datatonic seeks fantastic talent ready to innovate and inspire change amid a rapidly evolving technological landscape. Candidates ready to embark on this career journey are encouraged to apply now to make their mark in the world of AI.
This job offer was originally published on jooble.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
