We’re currently recruiting for an experienced AWS Solutions Architect to join my client on a 12-month PAYE contract, with strong potential for extension. This is a hybrid role requiring 3–4 days per week onsite in Cheltenham.
This is a fantastic opportunity to lead the design and delivery of cutting‑edge cloud and AI/ML solutions within a complex enterprise environment. You’ll play a key role in shaping architecture, driving innovation, and guiding teams through cloud transformation initiatives.
* Start Date: ASAP
* Duration: 12 months+
* Location: Cheltenham (Hybrid – 3–4 days onsite)
* Rate: Up to £95 per hour (PAYE)
* Notice Period: 1 month
* Design end-to-end AWS cloud architectures using services such as EC2, Lambda, S3, API Gateway, ECS/EKS, SageMaker, IAM, and CloudFormation
* Architect AI/ML solutions including pipelines, model training, deployment, and MLOps workflows
* Produce high-quality architectural documentation and design artefacts
Delivery & Implementation
* Oversee implementation of scalable, secure cloud solutions
* Develop proof‑of‑concepts and reference architectures
* Collaborate with engineering teams to integrate AI capabilities
Technical Leadership
* Provide leadership across cloud, AI/ML, and data engineering domains
* Conduct architecture reviews, risk assessments, and governance
* Mentor engineers, data scientists, and junior architects
Stakeholder Engagement
* Work closely with business and technical stakeholders
* Translate complex technical concepts into business‑friendly language
* Support cloud adoption and AI transformation strategies
Security, Compliance & Optimisation
* Ensure alignment with security standards and governance frameworks
* Implement resilient, high‑availability architectures
* Drive cost optimisation across AWS environments
✅ Required Skills & Experience
* Strong expertise across AWS services and cloud architecture design
* Hands‑on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit‑Learn)
* Experience with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition)
* Proven experience with microservices, serverless, containers (Docker/Kubernetes)
* Excellent communication and stakeholder management skills
* Experience working in Agile environments
🎓 Desirable Certifications
* AWS Certified Solutions Architect – Professional
* TOGAF or similar
* AI/ML or Data Engineering certifications
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