Why This Role Stands Out
Embrace the opportunity to shape impactful AI solutions in a remote-first environment with a competitive daily rate of £600-£650. This role is perfect for an experienced AI Architect who thrives on designing scalable, secure, and cost-effective AI services from concept to deployment. You'll have the chance to lead cutting-edge projects and contribute significantly to a major public-sector program.
Quick Overview
Salary
£600 - £650/mo
Seniority
Mid Senior
Employment type
Full Time
Work mode
Remote
Location
London, United Kingdom
Posted
Yesterday
AWSMLOpsMachine Learning
Job Description
£600-650 p/d outside IR35 GBP
Remote WORKING
Type: Contract
AI Architect
Rate: £600-£650 per day
IR35: Inside IR35
Location: Predominantly remote with very occasional travel to London
We are looking for an experienced AI Architect to lead the design and delivery of AI-enabled services across a major public-sector programme.
You will take AI solutions from concept to live service, ensuring they are scalable, secure, resilient and cost-effective.
Key Responsibilities
Remote WORKING
Type: Contract
AI Architect
Rate: £600-£650 per day
IR35: Inside IR35
Location: Predominantly remote with very occasional travel to London
We are looking for an experienced AI Architect to lead the design and delivery of AI-enabled services across a major public-sector programme.
You will take AI solutions from concept to live service, ensuring they are scalable, secure, resilient and cost-effective.
Key Responsibilities
- Lead AI-focused architecture and produce HLDs, LLDs and ADRs.
- Develop target and transition architectures and provide design assurance.
- Design scalable model-serving and inference solutions.
- Define MLOps capabilities covering CI/CD, monitoring, drift detection and retraining.
- Guide data-science teams working with computer-vision models.
- Design secure AWS, hybrid-cloud, edge and high-volume imagery solutions.
- Support AI assurance covering privacy, transparency, bias and fairness.
- Strong technical or enterprise architecture background.
- Experience taking AI/ML solutions into production.
- Knowledge of TOGAF and architecture-modelling approaches.
- Strong computer-vision knowledge, including CNNs, vision transformers, detection and segmentation.
- Experience with model optimisation, including quantisation, pruning, ONNX or TensorRT.
- Strong MLOps and machine-learning lifecycle knowledge.
- AWS experience, ideally including S3, Lambda, EventBridge, SNS and SQS.
- Understanding of Secure by Design, NCSC guidance and sensitive government environments.
- Excellent stakeholder-management and technical-assurance skills.
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