At a Glance
- Tasks: Build and scale machine learning solutions using advanced AI and cloud technologies.
- Company: Join Datatonic, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with AI enthusiasts and data experts in a dynamic environment.
- Why this job: Make a real-world impact by solving complex problems with cutting-edge technology.
- Qualifications: 4+ years in machine learning, strong Python skills, and cloud platform familiarity.
The predicted salary is between 60000 - 80000 £ per year.
As a Senior Machine Learning Engineer at Datatonic, you will build and scale machine learning solutions that solve real‑world problems using advanced AI and cloud technologies.
Responsibilities
- 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.
- Gen AI: 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 machine learning and data‑driven solutions.
Qualifications
- Experience: 4+ years 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, and a desire to meet real business needs.
- Scale‑up Experience.
- Cloud Certifications: e. g., Google CDL, AWS Solution Architect.
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow.
#J-18808-Ljbffr
Senior Machine Learning Engineer in City of Westminster employer: Datatonic, Ltd.
At Datatonic, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among AI enthusiasts and data experts. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge machine learning solutions in a supportive environment. Located in a vibrant tech hub, we provide unique advantages such as access to industry-leading cloud technologies and a network of like-minded professionals, making your career here both meaningful and rewarding.
