Datatonic

About Datatonic

Empowering businesses through data and AI expertise

👥 101-200 employees📍 Canary Wharf, London, UK3.9
B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningSaaS

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. ...

🎁 Benefits

Datatonic offers a comprehensive benefits package including a Cycle-to-Work scheme, a £100 home equipment allowance, and a pension scheme with a 3% em...

🌟 Culture

Datatonic fosters a culture focused on leveraging data for impactful business decisions. The company emphasizes the importance of MLOps best practices...

Datatonic

Machine Learning Engineer Lead

DatatonicLondon

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Overview

Datatonic is hiring a Principal Machine Learning Engineer to drive technical excellence and innovation in AI and data solutions. You'll work with Python and Google Cloud Platform to lead projects and mentor engineers. This role requires strong machine learning and data science fundamentals.

Job Description

Who you are

You are a visionary leader with a strong foundation in machine learning and data science — you understand the nuances of various ML use cases and know how to apply the right tools for each scenario. With hands-on experience in Python, you have a knack for engineering high-quality code and setting standards for best practices across production software and rapid prototypes.

You have a proven track record of leading projects and mentoring both junior and senior engineers — your leadership style fosters a culture of innovation and collaboration. You excel in building trusted relationships with clients, guiding them through complex problem-solving processes using machine learning.

Your communication skills are top-notch, allowing you to articulate technical concepts clearly to both technical and non-technical stakeholders — you thrive in discussions that drive strategic approaches to AI and data solutions. You are comfortable with model optimization and deployment tools, ensuring that the solutions you develop are not only effective but also scalable.

What you'll do

As a Principal Machine Learning Engineer at Datatonic, you will lead the charge in shaping the technical direction of our AI and data initiatives — your role will involve overseeing project scoping and ensuring the successful delivery of high-impact engagements. You will actively participate in client discussions, helping to define strategic approaches that leverage machine learning to solve complex business challenges.

You will mentor and guide a team of engineers, sharing your expertise and fostering their growth — your hands-on involvement will ensure that the team adheres to high standards of engineering excellence. You will be instrumental in driving innovation within the team, encouraging the exploration of new technologies and methodologies.

Your responsibilities will also include collaborating with cross-functional teams to deliver solutions that meet client needs — you will play a key role in shaping the future of AI and data at Datatonic, ensuring that we remain at the forefront of the industry. You will be expected to stay updated with the latest trends in machine learning and data engineering, continuously seeking ways to enhance our offerings.

What we offer

At Datatonic, you will join a team of AI enthusiasts and data experts who are passionate about shaping the future — we encourage innovation and provide an environment where your ideas can flourish. You will have the opportunity to work on cutting-edge projects that make a real impact on businesses worldwide. We offer competitive compensation and a supportive culture that values collaboration and continuous learning.

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