At a Glance
- Tasks: Lead the design and engineering of an innovative AI platform, ensuring observability and compliance.
- Company: Join a forward-thinking tech company focused on AI governance and platform engineering.
- Benefits: Competitive contract pay, flexible hybrid work options, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a commitment to responsible AI and innovation.
- Why this job: Make a significant impact in AI while collaborating with experts across various fields.
- Qualifications: Strong background in scalable systems, Python, SQL, and cloud-based AI ecosystems required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking to hire an experienced Technical Lead for a 12‑month contract assignment (inside IR35), commencing in 2‑4 weeks. This hands‑on, high‑impact role sits at the intersection of AI governance, distributed systems, observability, and platform engineering to lead the technical delivery of an AI centralized platform – the Control Tower.
Responsibilities
- Lead the architecture, design, and engineering of the AI Control Tower, the core framework that enables AI observability, guardrails, performance monitoring, and lifecycle management.
- Shape the technical roadmap in partnership with product leaders, ensuring delivery against ambitious milestones.
- Establish engineering standards, patterns, and integration approaches used across a robust, resilient, and secure AI environment.
- Develop scalable, high‑throughput data pipelines and monitoring systems.
- Ensure end‑to‑end observability across model development, deployment, and runtime, embedding secure‑by‑design principles, strong IAM practices, and regulatory compliance into the platform architecture.
- Guarantee that all AI systems are observable, monitored, and measurable from model training through to production.
- Drive deep technical collaboration and partner with SMEs across data engineering, platform engineering, security, risk, MLOps, and independent model monitoring.
- Support governance of AI systems through transparent metrics, automated reporting, and integrated control mechanisms, and bring thought leadership on Responsible AI, emerging standards, and new technologies.
Qualifications
- Strong engineering foundations with experience building scalable distributed systems or data platforms.
- Fluency in Python, SQL, Java, and modern data‑processing frameworks.
- Expertise in cloud‑based AI/ML ecosystems, particularly AWS SageMaker (required).
- Proven experience developing monitoring frameworks, observability pipelines, and dashboards.
- Deep understanding of event‑driven architectures and messaging systems such as Kafka or Vert.x.
- Knowledge of security engineering, IAM principles, encryption, and cloud security controls.
- Experience with CI/CD, infrastructure‑as‑code, and automated testing for data/ML systems.
- Exposure to MLOps, LLMOps, or model lifecycle management.
- Aware of model risk and regulatory frameworks (e.g., SS1/23, NIST AI Risk Management Framework).
- Understanding of operational resilience concepts and SRE practices (SLIs/SLOs).
- Experience with data lineage or governance tooling such as DataHub, Glue, or Collibra.
- Interest in Responsible AI, explainability, fairness/bias, and governance automation.
Location and Work Arrangement
This role is based in the UK&I region and is hybrid, offering either London or Edinburgh office options.
Equal Opportunity Statement
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment, and victimisation.
Lead AI Platform Engineer (Contract) in City of Westminster employer: GlobalLogic Inc.
As a leading employer in the AI and technology sector, we offer a dynamic work environment that fosters innovation and collaboration. Our hybrid work model allows for flexibility between our London and Edinburgh offices, ensuring a healthy work-life balance while providing opportunities for professional growth and development in cutting-edge AI governance and platform engineering. Join us to be part of a forward-thinking team that values diversity, encourages continuous learning, and is committed to responsible AI practices.
