proSapient

About the Company

proSapient is a cutting-edge expert network and primary research platform that enables professionals to share insights with clients through short calls, online surveys and long-term engagements.

Our clients include many of the world’s largest and most respected consultancy and private equity firms, and we have been featured in the Financial Times and in Sifted as one of the 100 fastest-growing businesses in Europe and the UK.

Since our launch in 2017, we have revolutionized expert networking by offering new capabilities including the industry’s first AI-powered platform, enabling smarter, faster decision-making. Headquartered in the UK, proSapient is ISO 27001 accredited and employs over 250 people across four global locations: London, Lisbon, Raleigh, and Toronto.

Should an opportunity arise where we think your experience could be relevant for an expert call, one of our Client Services Associates will contact you and help to determine whether there is a suitable fit, agree a rate to compensate you for your time and then submit your profile to our client. Our client then decides whether to work with a given expert and should they wish to move forward, our Associate will assist in scheduling a call at a suitable time.

We are continuously reimagining the expert networking landscape and remain at the forefront of technological innovation, committed to building the future of knowledge discovery.

Listed Jobs

Company Name

proSapient

Job Title

AI/ ML Engineer (Python)

Job Description

Job Title: AI/ML Engineer (Python) Role Summary: Design, develop, and deploy production‑grade AI/ML solutions in Python, focusing on LLM‑driven data extraction, recommendation engines, and workflow automation for knowledge‑management platforms. Expectations: Translate business challenges into measurable data science outcomes; deliver clean, scalable code; collaborate with cross‑functional teams; conduct experiments and present insights to technical and non‑technical stakeholders. Key Responsibilities: - Translate business problems into structured data science solutions with measurable results. - Design and build production‑grade systems using LLM providers, Python, and relational databases. - Conduct and analyze experiments to evaluate data processing pipelines. - Work with real‑time data streams and search infrastructure (Kafka, Elasticsearch). - Present findings and recommendations to stakeholders. Required Skills: - Strong Python programming (clean, production‑ready code). - Experience with LLMs: prompt engineering, fine‑tuning, RAG. - Structured prompt‑engineering and evaluation tools (LangSmith, PromptLayer). - Data science libraries and pipelines (pandas, spaCy). - Python web frameworks (FastAPI, Django) and RESTful APIs. - Relational databases (PostgreSQL or similar). - Elasticsearch (query tuning, performance optimization). - Message brokers (Kafka or RabbitMQ – bonus). - Containerization and orchestration (Docker, Kubernetes – bonus). - Cloud environments, preferably AWS – bonus. - Observability tools (Prometheus, Datadog) and background job frameworks – bonus. Required Education & Certifications: Bachelor’s (or higher) degree in Computer Science, Engineering, or a related field. (Word count: 214)

London, United kingdom

Hybrid

Senior

24-11-2025