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Senior AI Software Engineer

Harnham - Data & Analytics Recruitment·London (South East England)HybridSenior
£100 000 – £120 000 / year
Vox Summary
  • Role Responsibilities: Design, deploy, and improve production AI and machine learning models, build scalable data and AI pipelines, and contribute to system architecture.
  • Key Requirements: Strong experience in building and deploying AI solutions, proficiency in Python and ML libraries, cloud platform experience, and understanding of MLOps and deployment practices.
  • Conditions & Benefits: Hybrid working in London (3 days onsite), salary up to £120,000, opportunity to work on high-impact AI projects, modern tooling, and clear career progression.
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Job description

Senior AI Engineer London Hybrid (3 days per week) Up to £120,000 This is an opportunity to join a growing, data-focused organisation that is investing heavily in AI to drive product innovation and business performance. You will play a key role in designing and building production AI systems, working in a collaborative environment where engineering quality and real-world impact are prioritised. The Company They are a scaling, data-led business with a strong focus on leveraging AI and machine learning to enhance their products and services. With a modern technology stack and a clear roadmap for growth, they are building out their AI capability to support increasingly complex use cases. The culture is collaborative, delivery-focused, and encourages ownership across engineering teams. The Role • Design and deploy production-grade AI and machine learning models • Build and maintain scalable data and AI pipelines • Work closely with data, engineering, and product teams to deliver impactful solutions • Contribute to system architecture and engineering best practices • Improve model performance, monitoring, and deployment processes Your Skills and Experience • Strong commercial experience building and deploying AI and machine learning solutions • Advanced proficiency in Python and modern ML libraries and frameworks • Experience working with cloud platforms and scalable data systems • Understanding of MLOps, model lifecycle, and deployment best practices • Ability to collaborate effectively in a cross-functional environment What They Offer • Salary up to £120,000 • Hybrid working in London, 3 days per week onsite • Opportunity to work on high-impact AI initiatives • Modern tooling and a strong engineering culture • Clear progression as the team continues to grow

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Original source
reed.co.uk
Posted
Jun 19, 2026 · true date
Last verified
2 hours ago
Quality score
65/100
Salary stated30
Company identified0
applyUrl0
postedAt15
Complete description20

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