Head of AI Engineering & MLOps Platform

Hastings Direct; Bexhill-on-Sea; Híbrido; GBP 110.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

£6k car allowance

Flexible hybrid working

4Cs bonus

Private medical Insurance (PMI)

Life assurance 4x salary

Pension contributions up to 10%

Cycle to work

Descripción de la vacante

Hastings Direct in the United Kingdom seeks a Head of AI Engineering to lead the design, deployment and continuous improvement of enterprise AI, ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling.

The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver measurable business value.

Formación

• Significant leadership experience in AI Engineering within a fast-paced technology environment.
• Proven expertise in machine learning, MLOps, generative AI, LLMs and cloud technologies (Azure).
• Experience implementing AI engineering standards, deployment automation and model monitoring.

Responsabilidades

• Lead AI engineering, MLOps and platform teams, driving high-quality delivery and operational excellence.
• Define and maintain engineering standards, AI guardrails and Responsible AI practices.
• Oversee model development, deployment, monitoring and continuous improvement processes.
• Drive automation, observability and root cause analysis to minimise technical debt and service issues.
• Partner with Architecture, Risk, Compliance and business stakeholders to shape AI roadmaps.
• Provide reporting on progress, model performance and value realization.

Conocimientos

Leadership in AI Engineering

ML/Ops

Generative AI/LLMs

Cloud technologies (Azure)

Governance & Responsible AI

Herramientas

Azure ML

ML Platforms

MLOps tooling

Descripción del empleo

Hastings Direct in the United Kingdom seeks a Head of AI Engineering to lead the design, deployment and continuous improvement of enterprise AI, ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling.

The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver measurable business value.