4 of 4 MLOps Jobs in Bedfordshire

data privacy, handling of sensitive data (e.g. GDPR) and data lineage • Knowledge of the DataOps processes for the continuous deployment of UCDAs to production environments • Data Science machine learning (MLOps) model lifecycle • Worked with modern lakehouse and data management platforms – e.g.Databricks, Atlan, Monte Carlo What you’ll get in return: At easyJet, we pride ourselves on a vibrant and inclusive More ❯

data privacy, handling of sensitive data (e.g. GDPR) and data lineage Knowledge of the DataOps processes for the continuous deployment of UCDAs to production environments Data Science machine learning (MLOps) model lifecycle Worked with modern lakehouse and data management platforms – e.g.Databricks, Atlan, Monte Carlo What you'll get in return: At easyJet, we pride ourselves on a vibrant and inclusive More ❯

AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily … with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. In the first instance More ❯

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). This role involves building scalable AI … in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark, Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine-tuning, prompt optimization, and monitoring. Architect secure ML/AI systems on Azure, AWS, or … 5+ years in ML/AI solution development. Recent hands-on experience with Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker More ❯