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Machine Learning Engineer - Xcede

Jobster

City Of London, England, United Kingdom 2026-03-06 Est. GBP 40k–70k 40%
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Estimated salary range

40% confidence

Source: Estimated from market data

40,000 GBP 70,000
Estimate based on location data. Verify with employer. How we estimate this →

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  • Salary methodology — how we estimate benchmarks shown on this page.
  • Market Research hub — deeper hiring & compensation trends (reports index).
  • Listing date: 2026-03-06. Roles may close or change without notice.
  • Listings come from employers and partners; Catalitium does not verify every claim. Confirm compensation and requirements directly.
AI Summary Powered by Claude

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] Machine Learning Engineer:Up to 85kXcede is partnering with a fast-growing applied AI consultancy working on complex, real-world machine learning projects across a range of industries. Working closely with data scientists, engineers and client stakeholders, you’ll help design system architectures, implement deployment pipelines, and ensure AI solutions are reliable, secur…

Job description

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] Machine Learning Engineer:Up to 85kXcede is partnering with a fast-growing applied AI consultancy working on complex, real-world machine learning projects across a range of industries. Working closely with data scientists, engineers and client stakeholders, you’ll help design system architectures, implement deployment pipelines, and ensure AI solutions are reliable, secure and maintainable in operational settings.This role is ideal for someone who enjoys solving practical engineering challenges, working across the full ML lifecycle, and contributing to the delivery of mission-critical AI systems used by large organisations.Requirements:Strong experience building and maintaining machine learning systems in productionBackground working alongside data science teams to integrate trained models into live servicesHands-on development experience using modern machine learning frameworksExcellent Python engineering skillsExperience designing cloud-based platforms and deployment workflows e.g AWSProven experience running containerised applications using Docker and KubernetesSolid understanding of statistics, data modelling, and machine learning fundamentalsExperience mentoring junior engineers and contributing to engineering best practiceIf you are interested in this or other Ml Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861#Jobster

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