Machine Learning Engineer

Datatonic
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 1-3 yearsSkills: ["Communication","Presentation","Consulting"]

Machine Learning Engineer role focused on producing production-ready Python code, leading client discussions, and delivering AI-powered data solutions. You’ll combine ML fundamentals with software engineering best practices, lead projects, and apply ML/AI techniques across Google Cloud or other cloud platforms to solve real business problems for clients.

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FursaFursa
Datatonic
Datatonic
4 months ago

Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Machine Learning Engineer role focused on producing production-ready Python code, leading client discussions, and delivering AI-powered data solutions. You’ll combine ML fundamentals with software engineering best practices, lead projects, and apply ML/AI techniques across Google Cloud or other cloud platforms to solve real business problems for clients.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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.
  • •GenAI: Leverage generative AI to develop innovative solutions.
  • •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.

Pay and Benefits

Perks:Health InsuranceGym MembershipPensionLearning BudgetRemote Work

Key Requirements

  • •Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.
  • •Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.
  • •Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
  • •Strong knowledge of SQL for querying and managing data.
  • •Experience scaling computations using GPUs or distributed computing systems.
Experience:1-3 years
Skills:CommunicationPresentationConsulting
Tech Stack:PythonGoogle CloudAWSAzureSQLCI/CDFlaskGPUDistributed computing

Company Brief

Datatonic
Datatonic is a cloud data and AI consultancy that builds data platforms, analytics, MLOps and generative AI solutions for enterprise clients, partnering closely with Google Cloud to deliver data-driven business outcomes.
Industry: Consulting
Company Size: Large (251 to 1,000 employees)
Revenue: USD 10M to 25M
Growth: Scaleup
Funding: Private Equity Backed
Headquarters: London, United Kingdom
Founded: 2015
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Glassdoor: 4.0
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