Temus - Lead AI Engineer

• You bring strong capabilities in either AI Engineering or ML Engineering / MLOps. Proficiency in both is a significant advantage. • AI Engineering (LLM & Agentic Systems) • Practical hands-on experience with LLMs and agentic tooling: LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR. • Experience with prompt engineering, fine-tuning, evaluation frameworks, and responsible AI tooling. • ML Engineering / MLOps • Practical hands-on experience with ML development and deployment tooling: Jupyter, PyTorch, TensorFlow, Scikit-learn, AWS SageMaker, MLFlow, Docker, Kubernetes, Terraform, Ansible, Datadog. • Broad experience of NLP, computer vision, classification & recommendation systems, reinforcement learning and time series. • Experience designing and managing model experiment tracking and training workflows: hyperparameter tuning, cross-validation, experiment logging (e.g. MLFlow, Weights & Biases), and reproducible training runs. • Solid understanding and hands-on experience with the MLOps lifecycle: data versioning, model training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection, and retraining triggers — using platforms such as MLFlow, Weights & Biases, Kubeflow, AWS SageMaker Pipelines, Azure ML Pipelines, or Google Vertex AI Pipelines. • Platform & Delivery • At least 5 years of implementation experience with serverless computing, CI/CD, containerisation, Infrastructure as Code, code version control and automated testing. • Broad experience of model deployment, canary releases and implementation on cloud. • Experience of automated data pipelines, data labelling, versioning and exploration. • Strong ability to develop and maintain relationships amongst clients, colleagues, and partners. • Ability to develop and deliver client proposals, and build consensus supported by detailed analysis, deep expertise and effective communication. • Demonstrated ability to guide, develop and mentor AI and data engineers. • Demonstrated ability to create technical blogs & thought leadership on AI. • Active engagement in the AI community taking and giving courses, following podcasts, reading books, attending meetups, and developing projects. • Familiarity with agentic coding tools such as Claude Code, Cursor and Google Antigravity will be an advantage. • Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity. • We see the diversity of our team as a strategic advantage, and we work actively to maintain it. • By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/