AI/ML Engineer (Remote)

TN United Kingdom; London; Remote; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is on the lookout for an AI/ML Engineer to revolutionize workplace analytics through responsible and explainable AI models. This exciting role involves designing and deploying machine learning models that analyze team dynamics and deliver actionable insights while ensuring fairness and compliance with ethical AI standards. You'll work with cutting-edge technologies in a fully remote and flexible environment, shaping the product and tech stack from an early stage. If you're passionate about neuroinclusive AI and want to make a meaningful impact, this opportunity is perfect for you.

Qualifications

• Experience in machine learning, deep learning, or NLP with real-world deployment.
• Proficiency in Python and ML frameworks like TensorFlow and PyTorch.

Responsibilities

• Design, train, and deploy AI/ML models for team analytics and predictive insights.
• Implement explainable AI techniques to ensure transparency in decision-making.

Skills

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Python

TensorFlow

PyTorch

Scikit-learn

AI Fairness

Explainable AI

Tools

AWS

GCP

Azure

Docker

Kubernetes

Vector Databases

Job description

Remote (London, UK) | Full-time | Equity Options

Our client is seeking an AI/ML Engineer to design and deploy responsible, explainable, and neuroinclusive AI models that enhance our analytics and insights. As an AI/ML Engineer, you will develop and deploy machine learning models analyzing workplace data, predicting team dynamics, and delivering actionable insights—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 decision-making.
• Optimize models for efficiency, 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.

Requirements:

• 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, differential privacy, and federated learning is a bonus.
• Passion for neuroinclusive and ethical AI development.
• Desire to work on a meaningful product that promotes workplace inclusivity.
• Fully remote, flexible working culture.
• Opportunity to shape the product and tech stack from an early stage.