Senior MLOps Engineer

Job Title: Senior MLOps Engineer Company: Elsevier Job Category: Machine Learning Roles & Responsibilities: About the role: As a Senior MLOps Engineer, you should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. Senior Data Scientist I should be self\-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices. Key Responsibilities: * Maintain and version model registries and artifact stores to ensure reproducibility and governance * Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. * Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. * Design and implement the engineering components of GAR\+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self\-hosted * Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs * Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization * Partner with Subject\-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long\-term goals. A global leader in information and analytics, we help researchers and healthcare professionals’ advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1\-855\-833\-5120\. Work Location: London, ENG, UK Availability: Full time

Requirements: * Extensive experience ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. * Experience with statistical analysis, machine learning theory and natural language processing * Hands\-on‑ experience with major cloud vendor solutions (AWS, Azure and/or Google) * Experience in evaluating LLM models * Experience with large\-scale data processing systems, e.g., Spark We know that your well\-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: We know your well\-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Model Training, Feature Engineering, NLP Salary: Not disclosed