Job description
Remote (London, UK) | ⏳ Full-time | Equity Options
Our Client is looking for an AI/ML Engineer who can help design and deploy responsible, explainable, and neuroinclusive AI models that power our analytics and insights. As an AI/ML Engineer, you’ll develop and deploy machine learning models that analyse workplace data, predict team dynamics, and provide actionable insights—all while ensuring fairness, transparency, and compliance with GDPR and ethical AI standards.
Key Responsibilities:
Design, train, and deploy AI/ML models for team analytics, psychometric analysis, and predictive insights.
Work with structured and unstructured data, ensuring quality, consistency, and compliance.
Implement explainable AI (XAI) techniques to ensure transparency in decisionmaking.
Optimize models for ehiciency, performance, and fairness, reducing algorithmic bias.
Deploy AI models to production-ready cloud environments (AWS/GCP/Azure, Kubernetes, Docker).
Collaborate with product and UX teams to ensure AI insights are interpretable and useful for users.
Ensure data privacy, security, and compliance (GDPR, ISO 27001, AI Act).
Research and integrate state-of-the-art NLP, computer vision, and deep learning models as needed.
Experience in machine learning, deep learning, or NLP, with real-world model deployment experience.
Proficiency in Python, TensorFlow/PyTorch, and Scikit-learn.
Experience working with vector databases, embeddings, and LLMs (e.g., OpenAI, Hugging Face, RAG).
Knowledge of MLOps best practices, including CI/CD for ML, monitoring, and versioning.
Strong understanding of AI fairness, bias mitigation, and explainability techniques.
Experience deploying models in cloud environments (AWS/GCP/Azure) with containerization (Docker, Kubernetes).
Understanding of privacy-first AI, diherential privacy, and federated learning is a bonus.
Passion for neuroinclusive and ethical AI development.
Work on a meaningful product that makes workplaces more inclusive.
Fully remote, flexible working culture.
Opportunity to shape the product and tech stack from an early stage.
Equity options in a growing company.
How to Apply: Please apply if you think you would be suitable for this role. We look forward to your application and the opportunity to welcome you to our team.
Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].
