Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Lead a team of data scientists and AI engineers to design, build, and deploy AI solutions that drive business performance and operational efficiency across Sony Europe.
Build and deploy NLP, deep learning, and RAG models to automate financial analytics workflows, integrating data pipelines and cloud MLOps on AWS.
Build and deploy ML models that drive business decisions for a large financial services firm, using Python, SQL, and cloud platforms to solve real problems end-to-end.
Senior Data Scientist working in an insurance company's pricing team, creating innovative pricing models using complex data sources with Python, SQL, AzureML, and XGBoost. The role involves working 1 day a week in London or Leicester in a small team of 6 people on experimental pricing approaches.
Build and own product analytics for a fast-growing digital consumer business, running A/B tests, analyzing user behavior, and shaping product strategy with SQL, Python/R, and BI tools.
Own product analytics for a consumer membership business, running experiments and shaping strategy to drive growth and engagement using SQL, dbt, and Looker.
Lead a team of data scientists to build AI models for retail use cases like personalization, marketing, and supply chain using Python, SQL, and cloud platforms.
Build statistical and ML models for healthcare analytics and pharma marketing mix modeling to optimize spend and strategy using Python, SQL, and cloud tools.
Lead a team of data scientists and AI engineers to design, build, and deploy AI solutions that drive business performance and operational efficiency using Python, SQL, and modern ML frameworks.
Build and deploy ML models to extract insights from financial data, collaborating with engineers to productionize solutions and drive business decisions.
Lead a team building generative AI and agentic systems for healthcare, including LLMs, RAG, and AI agents, from prototyping to production with MLOps and Responsible AI practices.
Design and deliver AI/ML-based decision-making frameworks and models using LLMs and Python to drive business outcomes.
Build predictive models and analyse marketing data to optimise ad campaigns for a London/Reading-based agency.
Build ML models and data pipelines to optimize retail decisions like personalization and real-time analytics using Python, Spark, and AWS.
Build and maintain APIs and MCP servers that expose ML models from Databricks to internal apps and AI agents, ensuring reliability, security, and scalability.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Senior Data Scientist builds and deploys ML models (Random Forest, Bayesian, geospatial) on Azure Databricks using R/SQL, then translates insights for government and healthcare clients.
Designs and analyzes experiments to validate AI models for content decisions at Prime Video, using causal inference and statistical modeling to guide investments and improve customer experience.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Build and deploy credit-risk models (scoring, ratings, capital reserves) using ML/AI on AWS, translating quantitative impacts for business stakeholders.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
