Senior Machine Learning Engineer (AI-driven Analytics & Workflow Software)

oho group • United Kingdom
Remote
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AI Summary

Seeking a Senior Machine Learning Engineer to design, build, and deploy production-grade ML systems for AI-driven analytics and workflow software. This hands-on role involves scaling AI capabilities, developing ML infrastructure, and moving models from experimentation to reliable production services. Requires strong Python, ML system productionization, and cloud deployment experience.

Key Highlights
Hands-on engineering role focused on taking ML models from concept to production.
Build scalable ML infrastructure and data pipelines.
Work on real-world AI products used by major institutions.
Key Responsibilities
Designing and deploying machine learning models powering product features
Building scalable ML infrastructure and data pipelines
Moving models from experimentation to reliable production services
Developing high-performance APIs and backend services
Optimising systems for latency, reliability and observability
Evaluating new AI/ML techniques and research
Collaborating closely with engineers and product teams to embed AI capabilities
Technical Skills Required
Python Machine Learning AWS LLM
Benefits & Perks
Remote-first working
Occasional London meetups
Regular engineering collaboration days in London

Job Description


Senior Machine Learning Engineer


Location: Remote-first (UK) with occasional London meetups


Senior Machine Learning Engineer is required for a fast-growing technology company building AI-driven analytics and workflow software in a critical industry.


This is a hands-on engineering role focused on taking machine learning models from concept through to production, helping scale AI capabilities across a high-impact product used by major institutions.


The Role

You will play a key role in designing and building production-grade ML systems that deliver measurable value within the product.


Responsibilities include:

  • Designing and deploying machine learning models powering product features
  • Building scalable ML infrastructure and data pipelines
  • Moving models from experimentation to reliable production services
  • Developing high-performance APIs and backend services
  • Optimising systems for latency, reliability and observability
  • Evaluating new AI/ML techniques and research
  • Collaborating closely with engineers and product teams to embed AI capabilities


What They’re Looking For

  • Strong Python engineering experience
  • Proven track record building machine learning systems in production
  • Experience deploying ML systems on AWS or other cloud platforms
  • Experience with ML infrastructure, pipelines or orchestration
  • Experience supporting LLM services in production environments
  • Strong software engineering practices (testing, CI/CD, Agile)


Why Join

  • Work on real-world AI products used by major institutions
  • Help shape the machine learning roadmap of a growing platform
  • Build systems that bridge data science experimentation and production engineering
  • Join a highly technical team working on advanced AI and analytics
  • Remote-first working with regular engineering collaboration days in London


Senior Machine Learning Engineer


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