Senior AI & ML Engineer, Generative AI & LLMs

hirewise • United Kingdom
Remote
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AI Summary

Seeking a Senior AI & ML Engineer to develop and deploy production-grade AI/ML features for a global cybersecurity platform. Responsibilities include integrating LLMs and generative AI, collaborating with cross-functional teams, and monitoring feature performance. Requires expert Python, ML/DL frameworks, foundation models, RAG, cloud computing, and microservices experience.

Key Highlights
Develop and deploy production-grade ML/AI features.
Integrate and scale LLMs & generative AI within product workflows.
Collaborate with product, backend, and frontend teams.
Key Responsibilities
Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring.
Integrate and scale LLMs & generative AI within product workflows, including fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and agentic systems.
Collaborate with product, backend, and frontend teams to deliver impactful AI-driven experiences.
Take ownership of features by monitoring their functionality and effectiveness after deployment (observability).
Technical Skills Required
Python JavaScript TypeScript PyTorch scikit-learn Generative AI Large Language Models (LLMs) RAG (retrieval-augmented generation) Cloud computing Microservices API design Event-driven architectures Jupyter notebooks
Benefits & Perks
Equity & Bonus
Fully remote working arrangements
Access to offices in London and Barcelona
Monthly budget for coaching and self-improvement
Comprehensive Health Insurance
Gym membership
25 days of vacation + public holidays
Enhanced Maternity/Paternity leave
One volunteer day per year
Day off on your birthday

Job Description


About Our Client

Our client is a global leader in Digital Resilience, providing a cutting-edge platform that protects organizations from the most sophisticated cyber attacks. As an AI-first company, they are revolutionizing the cybersecurity landscape by integrating advanced machine learning directly into their products to outsmart attackers at scale.


The Role

We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and Large Language Models (LLMs). You will work on cutting-edge AI functionality across a flagship cybersecurity platform, building scalable, performant systems that harness the power of data, ML models, and infrastructure.


Key Responsibilities:

  • Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring.
  • Integrate and scale LLMs & generative AI within product workflows, including fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and agentic systems.
  • Collaborate with product, backend, and frontend teams to deliver impactful AI-driven experiences.
  • Take ownership of features by monitoring their functionality and effectiveness after deployment (observability).


Technical Requirements:

  • Proven professional experience as an ML/AI Engineer.
  • Expert proficiency in Python (for ML development) and JavaScript/TypeScript (for production integration).
  • Deep understanding of ML/DL frameworks such as PyTorch and scikit-learn.
  • Hands-on experience with state-of-the-art foundation models, embeddings, and RAG.
  • Strong knowledge of cloud computing, microservices, API design, and event-driven architectures.
  • Experience with Jupyter notebooks for data exploration and model iteration.


About You:

  • You are driven, empathetic, and thrive in environments with high autonomy.
  • You have a customer-centric mindset and care deeply about outcomes.
  • You are comfortable with technical trade-offs, moving quickly while building secure and scalable solutions.
  • You are enthusiastic about staying at the forefront of AI innovation.


Benefits & Perks:

  • Equity & Bonus: Competitive base salary plus a performance-based bonus and equity plan.
  • Flexibility: Fully remote working arrangements (in similar time zones) or access to offices in London and Barcelona.
  • Growth: A monthly budget for coaching and self-improvement (courses, conferences, workshops).
  • Well-being: Comprehensive Health Insurance for you and your family, gym membership (Wellhub), and 25 days of vacation + public holidays.
  • Family Support: Enhanced Maternity/Paternity leave.
  • Culture: One volunteer day per year and a "day off" on your birthday.


Equal Opportunity

Our client is an equal opportunity employer and values diversity at their company. They do not discriminate based on race, religion, color, national origin, devices, gender, sexual orientation, age, marital status, or disability status.


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