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2 site reliability engineer jobs found in Hybrid

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Hybrid Hybrid site reliability engineer
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Duration not stated  (1) 6 Months or more  (1)
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Greater London  (2) Hybrid  (2)
Contract Spy
Jun 03, 2026
6 Months or more
Quality Assurance Engineer at Mindera, London Paddington/Remote, 6 Months initial, Contract Rate (Outside IR35)
Contract Spy Hybrid (Paddington, London, UK)
We are seeking an experienced QAE Engineer / Senior Test Manager to join the Move Programme team, playing a key role in shaping and delivering the testing strategy across our Automated Warehouse programme. This role will focus on defining and implementing a robust end-to-end testing strategy across a complex ecosystem with multiple interdependent systems and teams. The successful candidate will ensure quality across programme delivery while driving improvements in our testing maturity. A key part of the role will be leading the transition from manual testing toward a scalable automated testing approach across the wider Move portfolio. You will also manage and guide a small team of 3 -4 offshore QA engineers, ensuring alignment with programme priorities and quality standards.   Please note: this is an initial six month contract that sits outside IR35. The role requires you to work onsite in Paddington, London, 3 days a week.   Key Responsibilities...
Contract Spy
May 12, 2026
Duration not stated
Senior Python Engineer at Mindera, London/Remote, £Competitive Day Rate (Outside IR35)
Contract Spy Hybrid (London, UK)
We are hiring a Senior AI Engineer to join a team responsible for recommendation systems across web and mobile, working on a key AI-driven product, the AI Stylist. This is a production-focused role. The AI Stylist is already live to customers and expected to scale significantly, with a large backlog of enhancements and increasing demand. This is a hybrid position where 3 days per week are expected onsite in central London.   About the Role You will join the Recommendations team, contributing to the AI Stylist experience, an AI-powered product that combines conversational interfaces with recommendation capabilities. The work sits at the intersection of engineering and AI, focused on improving relevance, quality, and reliability in a live, customer-facing system. You will collaborate closely with engineers, data scientists, and product stakeholders to evolve the system and support its rapid growth.   What You’ll Be Doing...
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