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2 jobs found in Hybrid

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Greater London  (2) Hybrid  (2)
Outside Spy
Jan 16, 2026
Duration not stated
Senior Product Manager (Contract) at Cur8, London/Hybrid, £500 - £700 a day
£500 - £700 per day
Outside Spy Hybrid (London, UK)
Full job description Location:  London hybrid (Old St office + remote) Type:  Contractor | Climate Tech & AI | Seed Startup Day rate:  £500 - £700 per day DOE Start:  Feb 2026 with a 3-6 month expected project duration Days per week:  4-5 days per week   TL;DR: CUR8 is looking for a contract Senior Product Manager to join the team. To help us to achieve our ambitious feature growth aims in the first half of 2026. Ideal candidates are senior product practitioners, with experience working in fast paced and ambiguous contexts. We want ambitious do'ers who are comfortable jumping into a new domain area and collaborating with others to design and ship new features. The role is a hybrid role, working from home but also from our Old Street office (open to discuss number of office days). This role has been assessed as outside IR35.   The Role We’re looking to hire a...
Outside Spy
Jan 12, 2026
Duration not stated
Cloud Engineer (AWS) - SCOUT Infrastructure (Contract) at Methods, London/Hybrid, £500 - £550 a day
£500 - £550 per day
Outside Spy Hybrid (London, UK)
Full job description SC Clearance Required UK-based (Hybrid) Outside IR35 We are looking for 2 x Cloud Engineers to support the next delivery phase of SCOUT, an AI-driven assurance platform used to improve the efficiency and quality of Government Major Project reviews. SCOUT has completed private beta and is now moving into a phase focused on automation, scalability, security, and wider organisational adoption. Role Overview: You will be responsible for deploying and supporting AI services on Amazon Web Services, with a strong focus on AWS Bedrock, ensuring the platform is secure, scalable, and usable by non-technical teams. The work centres on infrastructure, integration, and light service changes — not greenfield application development. Key Responsibilities: Deploy and manage AI services using AWS Bedrock Configure infrastructure and environment variables for AI API access Deploy and manage services including ECS, S3, Cognito, and RDS...
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