
About Datatonic
Empowering businesses through data and AI expertise
Key Highlights
- Headquartered in Canary Wharf, London, UK
- Clients include Sky, Vodafone, and Lush Cosmetics
- Specializes in MLOps platforms and modern data stacks
- Team of 101-200 employees with diverse expertise
Datatonic is a leading data and AI consulting firm headquartered in Canary Wharf, London. Since its founding in 2013, Datatonic has partnered with major clients like Sky, Vodafone, and Lush Cosmetics to build high-performing MLOps platforms that enhance decision-making and operational efficiencies. ...
π Benefits
Datatonic offers a comprehensive benefits package including a Cycle-to-Work scheme, a Β£100 home equipment allowance, and a pension scheme with a 3% em...
π Culture
Datatonic fosters a culture focused on leveraging data for impactful business decisions. The company emphasizes the importance of MLOps best practices...
Skills & Technologies
Overview
Datatonic is hiring an AI Engineer to develop production-grade Machine Learning systems. You'll work with AWS, Azure, and Google Cloud to solve complex data problems. This position is suitable for entry-level to mid-level candidates.
Job Description
Who you are
You are an AI Engineer who thrives at the intersection of AI, cloud, and real-world problem-solving. Whether you're just starting out or have some experience, you are eager to turn ideas into practical, production-grade Machine Learning systems. You have a strong understanding of cloud technologies and engineering best practices, and you are passionate about leveraging these skills to tackle complex data challenges.
You have experience with major public cloud providers such as AWS, Azure, and Google Cloud, and you are familiar with MLOps practices. Your technical skills include proficiency in Python and a solid foundation in Machine Learning principles. You are a collaborative team player who enjoys working with clients to understand their needs and translate business challenges into ML opportunities.
You are open to experimenting, training, and optimizing models, and you have a desire to innovate and try new approaches. You are committed to continuous learning and growth, and you appreciate the freedom to shape how solutions are built within your team.
Desirable
Experience with data engineering or familiarity with open-source technologies is a plus. You may also have certifications or structured learning in AI or cloud technologies that enhance your qualifications for this role.
What you'll do
As an AI Engineer at Datatonic, you will prototype, build, and deploy end-to-end Machine Learning solutions. You will work closely with clients to understand their business challenges and propose effective ML solutions that drive value. Your responsibilities will include experimenting with different models, training them, and optimizing their performance to ensure they meet real-world requirements.
You will collaborate with a dedicated R&D department to stay ahead in the ever-evolving data space, pushing the boundaries of whatβs possible with AI and cloud technologies. You will also have the opportunity to contribute to impactful projects across various industries, helping organizations make practical use of their data.
Your role will involve applying best-in-class engineering practices and MLOps methodologies to ensure that the solutions you develop are robust, scalable, and future-proof. You will be encouraged to innovate and try new approaches, actively shaping how the team builds its solutions.
What we offer
Datatonic offers a flexible hybrid working model that allows you to balance your professional and personal life. You will enjoy 25+ days of vacation, depending on your role and progression within the company. Additionally, we provide supplementary health insurance, with 50% coverage, and a MultiSport membership to promote your well-being.
Join us at Datatonic, where innovation drives everything we do, and be part of a team that is dedicated to solving complex data problems using cutting-edge technologies.
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