Lead AI Engineer

Location: Home worker, United Kingdom

Company

hirify.global is a UK AI and data business delivering production-grade AI solutions for government, healthcare, defence, and commercial clients.

What you will do

• Architect, design, and deliver advanced machine learning, generative AI, and agentic AI solutions.
• Drive adoption of modern AI frameworks, AI Ops practices, and scalable cloud-native architectures.
• Translate customer business challenges into trustworthy AI solutions and ensure responsible AI practices.
• Lead client projects, establish requirements in non-technical language, and provide hands-on technical direction.
• Manage, coach, and develop junior team members while supporting performance and career development.

Requirements

• Minimum 2.1 degree in Computer Science, AI, Data Science, Statistics, or a similar quantitative field.
• Experience deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation, model evaluation, and monitoring with metrics such as precision, recall, NDCG, and drift detection.
• Strong Python skills and software engineering practices including CI/CD, testing, and code reviews.
• Experience developing solutions at scale on Azure and AWS, with containerisation and orchestration using Kubernetes and Docker.
• Expertise in data engineering for AI, including large-scale, unstructured, and multimodal data.
• Understanding of responsible AI, model interpretability, and ethical considerations.
• Strong interpersonal skills for leading client projects and explaining requirements in non-technical language.
• Experience managing, coaching, and developing junior team members and the wider community.

Nice to have

• Experience with PyTorch, TensorFlow, fine-tuning or distillation of LLMs such as GPT, Llama, Claude, or Gemini, and machine learning libraries including scikit-learn and XGBoost.
• Experience with AI data storage, vector databases, semantic search, and knowledge graphs.
• Contributions to open-source AI projects or research publications.
• Familiarity with AI security, privacy, and compliance standards such as ISO42001.

Culture & Benefits

• People-first culture focused on creativity, collaboration, continuous learning, and engineering excellence.
• Inclusive workplace committed to diversity, equity, inclusion, and equal opportunity.
• Accommodations and adjustments are available during the recruitment process.