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Faculty

Senior Software Engineer

Faculty

. Lead technical scoping and architectural decisions for high-impact ML and software systems .

Posted 10/8/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading the design and deployment of scalable machine learning and software systems, with a strong focus on Python programming, cloud architecture, and mentoring junior engineers. Proven ability to collaborate across teams and communicate complex technical concepts effectively to diverse stakeholders.

Highest-signal resume keywords
Python ProgrammingCloud Platform ArchitectureContainerization with DockerOrchestration with KubernetesTechnical Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringMachine LearningProduction-Grade Software DevelopmentInfrastructure DesignBest Practices Implementation
Soft Skills
Exceptional CommunicationOwnershipAutonomyCollaboration
Tools & Technologies
AWSAzureGCPDockerKubernetes
Industry Keywords
AI SystemsEthical StandardsTechnical ScopingArchitectural DecisionsClient Challenges

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPythonRustTypeScriptGo

About the role

Key responsibilities & impact
  • Lead technical scoping and architectural decisions for high-impact ML and software systems
  • Design and build production-grade ML/software, tools, and scalable infrastructure
  • Define and implement best practices and standards for deploying machine learning at scale across the business
  • Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
  • Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
  • Mentor and develop junior engineers, shaping the engineering culture and technical depth
  • Lead development and deployment of cutting-edge AI and software systems for diverse clients
  • Design, build, and deploy scalable, production-grade ML/software and infrastructure meeting rigorous operational and ethical standards

Requirements

What you’ll need
  • Strong software engineering skills in Python
  • At least one compiled or strongly-typed language (e.g. Go, Java, Rust, or TypeScript)
  • Deep expertise in software engineering and strong Python skills
  • Demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
  • Extensive experience with container and orchestration tools such as Docker and Kubernetes
  • Ability to thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy
  • Exceptional communication skills with technical teams and senior, non-technical stakeholders
  • Visa sponsorship requirements must be disclosed for work in the UK

Benefits

Comp & perks
  • We are open to conversations about part-time hours
  • Candidates may not apply more than 3 times in any 90 day period