Senior MLOps Engineer (AI)

Location: London Wall, United Kingdom

Company

hirify.global provides information, analytics, publishing, research, healthcare, education, and clinical practice solutions using extensive data sets and technology.

What you will do

• Automate and orchestrate machine learning workflows across AWS, Azure, Databricks, and foundation model APIs.
• Manage model registries, artifact stores, reproducibility, governance, and CI/CD pipelines with data validation, model testing, and deployment.
• Build SageMaker pipelines and engineering components for recommendation systems, GAR/RAG systems, semantic search, hybrid retrieval, embeddings, prompt libraries, guardrails, and structured LLM outputs.
• Design ML pipelines using Elasticsearch, OpenSearch, Solr, vector databases, and graph databases.
• Build evaluation pipelines covering offline information-retrieval metrics, LLM quality metrics, and A/B testing.
• Optimize infrastructure costs and collaborate with subject-matter experts, product managers, data scientists, Responsible AI experts, and operations engineers.

Requirements

• Extensive experience in ML Engineering and MLOps platforms, including shipping ML, search, or GenAI systems to production.
• Strong Python, Java, and/or Scala engineering skills.
• Experience with statistical analysis, machine learning theory, and natural language processing.
• Hands-on experience with major cloud vendor solutions, including AWS, Azure, and/or Google Cloud.
• Experience with search, vector, and graph technologies such as Elasticsearch, OpenSearch, Solr, and Neo4j.
• Experience evaluating large language models.
• Background in scholarly publishing workflows, bibliometrics, or citation graphs.
• Strong understanding of the Data Science Life Cycle, including feature engineering, model training, and evaluation metrics.
• Familiarity with ML frameworks such as PyTorch, TensorFlow, and PySpark, plus large-scale data processing systems such as Spark.

Culture & Benefits

• Flexible working hours supporting work-life balance.
• Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
• Comprehensive pension plan and generous vacation entitlement.
• Maternity, paternity, adoption, and family care leave.
• Internal communities and networks, employee discounts, an employee assistance program, and a recruitment introduction reward.
• Culture focused on innovation, collaboration, and excellence.