AI Machine Learning Technical Lead
Posted 1 week ago by T3
Negotiable
Inside
Hybrid
London Area, United Kingdom
Summary: The AI ML Technical Lead (Ops SME) is responsible for leading the operational design, deployment, and integration of AI/ML systems within enterprise environments. This role requires bridging data science with operational delivery to ensure AI models are effectively scaled for live operations. The position involves managing multi-disciplinary teams and providing technical authority to stakeholders while ensuring compliance with operational standards. The role is hybrid, requiring some travel within the UK and is classified as inside IR35.
Key Responsibilities:
- Lead the technical delivery of AI/ML solutions for operational enterprise use cases.
- Translate mission requirements into scalable ML pipelines, ensuring models meet operational, ethical, and regulatory standards.
- Provide day-to-day leadership to multi-disciplinary teams (MLOps engineers, data scientists, domain experts).
- Drive integration of AI solutions into enterprise and mission systems, ensuring coherence with existing enterprise infrastructure.
- Establish and manage performance metrics for deployed ML models, ensuring safety, reliability, and explainability.
- Act as client-side technical authority, providing assurance and advisory input to senior stakeholders.
- Support training and mentoring of senior personnel to strengthen internal AI/ML capability.
Key Skills:
- Prior SC clearance.
- AI/ML degree.
- Demonstrable experience as a Technical Lead on AI/ML projects.
- Proven expertise in MLOps, model lifecycle management, and deployment into enterprise/operational environments.
- Strong background in scaling ML solutions from prototype to production.
- Ability to engage senior enterprise stakeholders and translate mission needs into technical outcomes.
- Willingness to work inside IR35 and attend weekly in-person meetings.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Location: London / Hybrid (some travel within UK)
Contract Type: Inside IR35
Role Purpose
The AI ML Technical Lead (Ops SME) will provide operationally focused leadership in the design, deployment, and integration of AI/ML systems across enterprise and mission environments. This role bridges data science and operational delivery, ensuring AI models and platforms can be safely scaled from proof-of-value to live operational environments.
Key Responsibilities
- Lead the technical delivery of AI/ML solutions for operational enterprise use cases.
- Translate mission requirements into scalable ML pipelines, ensuring models meet operational, ethical, and regulatory standards.
- Provide day-to-day leadership to multi-disciplinary teams (MLOps engineers, data scientists, domain experts).
- Drive integration of AI solutions into enterprise and mission systems, ensuring coherence with existing enterprise infrastructure.
- Establish and manage performance metrics for deployed ML models, ensuring safety, reliability, and explainability.
- Act as client-side technical authority, providing assurance and advisory input to senior stakeholders.
- Support training and mentoring of senior personnel to strengthen internal AI/ML capability.
Must-Have Qualifications
- Prior SC clearance.
- AI/ML degree.
- Demonstrable experience as a Technical Lead on AI/ML projects.
- Proven expertise in MLOps, model lifecycle management, and deployment into enterprise/operational environments.
- Strong background in scaling ML solutions from prototype to production.
- Ability to engage senior enterprise stakeholders and translate mission needs into technical outcomes.
- Willingness to work inside IR35 and attend weekly in-person meetings.
Preferred Qualifications
- Prior DV clearance.
- Delivery experience in Defence, Aerospace, or Government AI programmes.
- Knowledge of secure data environments and AI deployment in classified settings.
- Familiarity with assurance frameworks such as ISO 42001.
- Track record of publishing or presenting in applied ML operational contexts.