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3 дня назад

Head of AI Engineering

Формат работы
hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Head of AI Engineering (Machine Learning/MLOps): Leading enterprise AI engineering, ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling with an accent on scalable, secure, compliant delivery and Responsible AI. Focus on defining engineering standards, automating model deployment and monitoring, improving observability, and building high-performing AI engineering teams.

Location: Bexhill, United Kingdom; flexible hybrid working

Company

hirify.global is an insurance company focused on technology-enabled products and services.

What you will do

  • Lead AI engineering, MLOps and platform teams, ensuring high-quality delivery and operational excellence.
  • Lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling.
  • Define AI engineering standards, guardrails, governance and Responsible AI practices across the model lifecycle.
  • Oversee model development, deployment, monitoring, evaluation and continuous improvement.
  • Drive preventative controls, automation, observability and root cause analysis to reduce technical debt and service issues.
  • Partner with Architecture, Risk, Compliance and business stakeholders on AI roadmaps, reporting, performance and value realisation; build and mentor high-performing teams.

Requirements

  • Significant leadership experience in AI Engineering within a fast-paced technology environment.
  • Strong expertise in machine learning, MLOps, generative AI, LLMs, AI platforms and cloud technologies, such as Microsoft Azure AI/Azure ML.
  • Proven experience implementing AI engineering standards, deployment automation, model monitoring and Responsible AI frameworks.
  • Excellent analytical, problem-solving and stakeholder management skills.
  • Strong written, verbal and presentation skills, with proficiency in Microsoft Office applications.
  • Passion for innovation, data-driven decision-making and continuous learning.
  • Visa sponsorship is not available.
  • Successful applicants undergo referencing, including credit and criminal record checks.

Culture & Benefits

  • Flexible hybrid working.
  • Competitive salary, £6,000 car allowance and annual 4Cs performance bonus.
  • Private medical insurance, life assurance at 4x salary, income protection and matched pension contributions up to 10%.
  • Mental wellbeing support, including a 24/7 assistance programme, mental health app, first aiders and support groups.
  • 27 days of annual leave plus bank holidays, with the option to buy or sell one week, alongside healthcare, dental, financial wellbeing, cycle-to-work and technology schemes.
  • Equal-opportunity and inclusive working environment with reasonable adjustments available during recruitment.

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