Senior Machine Learning Engineer

Datatonic
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Communication","Presentation","Consulting","Client-facing","Project leadership"]

Design, build, and deploy production-grade machine learning and data-driven solutions using Python. Lead ML prototypes and translate ambiguous business needs into models, experiments, and scalable architectures. Apply optimization, MLOps automation, and deployment best practices while integrating ML components via services and wrappers. Collaborate with prospects through client discussions, scoping engagements, and overseeing delivery across data engineering and Google Cloud-based tooling.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Datatonic
Datatonic
2 months ago

Senior Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Design, build, and deploy production-grade machine learning and data-driven solutions using Python. Lead ML prototypes and translate ambiguous business needs into models, experiments, and scalable architectures. Apply optimization, MLOps automation, and deployment best practices while integrating ML components via services and wrappers. Collaborate with prospects through client discussions, scoping engagements, and overseeing delivery across data engineering and Google Cloud-based tooling.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Translate vague requirements into ML models that solve real-world problems.
  • •Conduct ML experiments using programming languages and machine learning libraries.
  • •Develop generative AI solutions and tailor ML code for specific client needs.
  • •Optimize ML solutions for performance and scalability, including deployment to production.
  • •Design ML architectures using Google Cloud tools and build production-grade software, including MLOps automation.

Pay and Benefits

Perks:Health InsuranceGym MembershipRemote WorkPensionLife Insurance

Key Requirements

  • •4+ years as a Machine Learning Engineer, preferably with a consulting background.
  • •Proficiency in Python for production-ready code using 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:4+ years
Skills:CommunicationPresentationConsultingClient-facingProject leadership
Certifications:Google CDLAWS Solution Architect
Tech Stack:PythonGoogle CloudAWSAzureCI/CDSQLGPUsDistributed computingMLOpsFlaskGenAIMachine learning libraries

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
Glassdoor
Glassdoor: 4.0
WebsiteLinkedInGlassdoor