Datatonic
Senior ML Engineer
2mo ago
EuropeSeniorRemotepythonmachine learningdata sciencemodel optimisationmodel deployment
Senior Machine Learning Engineer responsible for developing production-quality Python code, leading projects, client discussions, and delivering ML solutions.
Responsibilities
- As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce.
- You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.
- Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions.
- Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.
- To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices.
- Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.
Nice to have
- Scale-up experience.
- Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).
Other
- At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform.
- By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.
- Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.
- Data Science: Conduct ML experiments using programming languages with machine learning libraries.
- GenAI: Leverage generative AI to develop innovative solutions.
- Optimisation: Optimise machine learning solutions for performance and scalability.
- Custom Code: Implement tailored machine learning code to meet specific needs.
- Data Engineering: Ensure efficient data flow between databases and backend systems.
- MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.
- ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.
- Engineering Software for Production: Build and deploy production-grade software for ai and data-driven solutions.
- Experience: Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.
- Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.
- Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
- Software Engineering: Hands-on experience with foundational software engineering practices.
- Database Proficiency: Strong knowledge of SQL for querying and managing data.
- Scalability: Experience scaling computations using GPUs or distributed computing systems.
- ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).
- Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.
- We believe in empowering our team to thrive, with benefits including:
- Holiday : 30 days plus bank holidays (obviously!)
- Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)
- Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)
- Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)
- Learning & Growth: Access to platforms like Udemy to fuel your curiosity.
- Pension: Private Salary Sacrifice Pension available
- Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!
- Are you ready to make an impact?