RevAIsor
Artificial Intelligence Engineer
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Artificial Intelligence Engineer – Project SENTINEL (Innovate UK Grant)
Location: Greater London (Hybrid: Office & Remote)
Position Type: Full-time
Department: Engineering & Responsible AI
Eligibility: Must have existing right to work in the UK
Salary: Competitive
About RevAIsor & Project SENTINEL
RevAIsor is dedicated to building a future where artificial intelligence systems are trustworthy, transparent, and accountable. We partner with organizations to deploy AI responsibly, enabling teams to identify, manage, and monitor AI risks throughout the full AI lifecycle.
Supported by funding through an Innovate UK grant, RevAIsor is advancing Project SENTINEL—a groundbreaking initiative developing neuro-symbolic AI architectures to provide provable safety, security, and deterministic guardrails for autonomous AI systems. By joining our team on this grant-funded project, you will play a key role in conducting applied research and building state-of-the-art safety-by-design technical solutions.
Role Overview
As an Artificial Intelligence Engineer, you will design, build, and deploy AI models and neuro-symbolic systems that prioritize reliability, safety, and explainability. Working closely with cross-functional technical and risk management teams, you will translate governance and risk requirements into robust software solutions. Your day-to-day work will range from designing advanced algorithms and ML pipelines to conducting rigorous experimentation and building specialized tooling for monitoring real-time AI performance, safety, and compliance.
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Key Responsibilities
- Algorithm & Model Development: Research, design, optimize, and evaluate core machine learning models and pattern recognition algorithms across structured and unstructured datasets.
- Project SENTINEL Engineering: Build and maintain scalable ML pipelines and integration tools that align model outputs with formal safety and governance guardrails.
- Production Integration: Collaborate with software engineering teams to deploy AI components into production, ensuring system scalability, robustness, and secure operation.
- Performance & Compliance Monitoring: Implement monitoring frameworks to continuously assess AI reliability, fairness, explainability, and potential performance drift.
- Technical Documentation & Research Dissemination: Thoroughly document experimental methodologies, codebases, and technical architectures for grant progress reporting, internal teams, and project stakeholders.
Qualifications & Requirements
Education & Eligibility
- Right to Work: Candidates must possess existing valid authorization to work in the United Kingdom without requiring visa sponsorship.
- Education: PhD preferred in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field (or a Master's degree with equivalent high-impact research or industry experience).
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Technical & Professional Experience
- Core Software Engineering: Strong foundation in Computer Science principles, including data structures, algorithms, version control (Git), and collaborative software development practices.
- Neural Networks & Pattern Recognition: Demonstrated experience designing, training, and evaluating advanced deep learning architectures for complex tasks.
- NLP Expertise: Practical experience with Natural Language Processing (NLP), including modern language model architectures (e.g., Transformers, LLMs), text preprocessing, and deployment.
- Technical Stack: Proficiency in Python and ML libraries/frameworks (PyTorch, TensorFlow, scikit-learn), alongside experience in model monitoring and evaluation tooling.
- Responsible AI & Ethics: Solid understanding of AI risk, explainability, fairness, and governance frameworks, with a strong research or practical interest in building accountable, safe-by-design systems.
- Communication: Exceptional ability to translate complex research concepts clearly to cross-disciplinary teams, clients, and project stakeholders.
Working Model
- Ability to work in a hybrid setup in Greater London (combining in-office collaboration with remote work).
For more info about the company see https://revaisor.com
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