Senior Machine Learning Software Engineer - DV Cleared

Searchability

City Of London

Hybrid

GBP 90,000 - 135,000

Full time

2 days ago
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Benefits offered by this job

Impactful AI projects
Complex ML challenges
Technical leadership

Job summary

Searchability in the United Kingdom seeks a Senior Machine Learning Engineer to design, build and deploy scalable ML systems for clients across government, finance, retail and more.

You will lead technical scoping, mentor junior engineers and partner with software, data science, product and commercial teams to deliver practical AI solutions that meet security and ethical standards.

Qualifications

  • Strong commercial experience in Machine Learning Engineering.
  • Strong Python skills and a solid software engineering background.
  • Experience operationalising models using frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with AWS, Azure or GCP, including cloud architecture, security and infrastructure.
  • Experience with Docker and Kubernetes for containerisation and orchestration.
  • Understanding of scalable, production-grade ML systems and infrastructure.
  • Experience working in fast-paced environments, taking ownership of projects and delivering solutions autonomously.
  • Strong communication skills, with the ability to engage technical teams and senior stakeholders.
  • Desirable: Consultancy experience, client-facing technical leadership and experience delivering AI solutions across multiple industries.

Responsibilities

  • Lead technical scoping and architectural decisions for high-impact machine learning systems.
  • Design, build and deploy production-grade ML software, tools and scalable infrastructure.
  • Operationalise machine learning models and support the full ML lifecycle.
  • Establish best practices for deploying and maintaining ML systems at scale.
  • Work closely with software engineers, data scientists, product managers and commercial teams.
  • Advise clients and stakeholders, translating complex technical concepts into practical solutions.
  • Mentor junior engineers and contribute to engineering standards and best practices.
  • Ensure solutions meet operational, security and ethical standards.

Skills

Python
Software engineering
Machine Learning Engineering
PyTorch
TensorFlow
AWS
Azure
GCP
Docker
Kubernetes

Tools

Docker
Kubernetes
PyTorch
TensorFlow
AWS
Azure
GCP

Job description

SENIOR MACHINE LEARNING ENGINEER

UK | Hybrid / Remote

We’re looking for a Senior Machine Learning Engineer to join a growing AI team, developing and deploying cutting-edge AI solutions for clients across sectors including government, finance, retail, energy, life sciences and defence.

You’ll take a hands-on role designing, building and deploying scalable, production-grade machine learning systems, while providing technical leadership, advising clients and supporting the development of other engineers.

THE ROLE
  • Lead technical scoping and architectural decisions for high-impact machine learning systems
  • Design, build and deploy production-grade ML software, tools and scalable infrastructure
  • Operationalise machine learning models and support the full ML lifecycle
  • Establish best practices for deploying and maintaining ML systems at scale
  • Work closely with software engineers, data scientists, product managers and commercial teams
  • Advise clients and stakeholders, translating complex technical concepts into practical solutions
  • Mentor junior engineers and contribute to engineering standards and best practices
  • Ensure solutions meet operational, security and ethical standards
WHAT WE’RE LOOKING FOR
  • Strong commercial experience in Machine Learning Engineering
  • Strong Python skills and a solid software engineering background
  • Experience operationalising models using frameworks such as PyTorch or TensorFlow
  • Hands-on experience with AWS, Azure or GCP, including cloud architecture, security and infrastructure
  • Experience with Docker and Kubernetes for containerisation and orchestration
  • Understanding of scalable, production-grade ML systems and infrastructure
  • Experience working in fast-paced environments, taking ownership of projects and delivering solutions autonomously
  • Strong communication skills, with the ability to engage technical teams and senior stakeholders
  • Desirable: Consultancy experience, client-facing technical leadership and experience delivering AI solutions across multiple industries.
BENEFITS
  • Opportunities to work on impactful AI projects across a range of industries
  • Exposure to complex technical challenges and modern machine learning technologies
  • Opportunities for technical leadership, mentoring and professional development
  • Collaborative environment with experienced engineers, data scientists and AI specialists
  • We welcome applications from candidates with diverse backgrounds and encourage those who meet many, but not necessarily all, of the requirements to apply.
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