Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks.
Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks.
Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones.
Loopio provides a workplace that recognizes the advantages of working flexibly, operating as a remote-first company. They have established hub regions around the world and foster a supportive culture with opportunities for connection.
Develop machine learning models using natural language process for automated processes.
Build and train models, deploy model pipelines, and implement algorithms to extract insights from unstructured data.
Troubleshoot and provide technical solutions to resolve issues, contributing to scalable, reliable services.
Authenticx's mission is to help humans understand humans through their software platform, which sets a new standard for humanizing customer interaction data at scale. They channel their passion and talent into helping healthcare leaders listen to their conversational data, delivering value to the enterprise.
Design and deliver AI-powered advisors, assistants, and analytic agents.
Build and maintain high-quality, production-ready Python services.
Apply, adapt, and fine-tune foundation models to deliver reliable AI experiences.
Energage helps organizations turn employee feedback into useful business intelligence and credible employer recognition through Top Workplaces. Built on culture research and the results from 23 million employees surveyed across more than 70,000 organizations, Energage delivers the most accurate competitive benchmark available.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and corporate headquarters in Dublin, Ireland.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, and corporate headquarters in Dublin, Ireland.
Designing and maintaining quantitative models, indices, and scoring frameworks.
Using LLMs to support qualitative analysis at scale, such as text analysis and signal extraction.
Analyzing trends across time and geography using heterogeneous data sources.
Sibylline is a leading intelligence and strategic risk consultancy in the security sector, supporting businesses, governments, and NGOs by providing high-quality risk analysis, due diligence, and consultancy services since 2010. They offer an innovative, entrepreneurial, and fast-growing working environment, with fantastic opportunities for career progression.
Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks
Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/MistralAI models into production systems.
Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences.
Wealth.com is the industry’s leading estate planning platform, empowering more than 1,000 wealth management firms to modernize how they talk about estate planning with their clients. They cultivate a collaborative and supportive environment, fostering innovation and making Wealth.com a truly enjoyable workplace.
Lead, mentor, and grow a team of Machine Learning engineers and scientists
Drive execution of ML initiatives across Document Generation, Voice Agents, and Knowledge Base systems
Partner closely with Product and Engineering to define scope, priorities, and delivery plans
EvenUp aims to close the justice gap using technology and AI, empowering personal injury lawyers and victims. They are a fast-growing vertical SaaS company backed by top VCs, seeking talented, driven, and collaborative individuals.
Lead the development and application of machine learning and LLM-powered models across various functions.
Translate business problems into clear modeling objectives and experimentation plans.
Manage and mentor applied ML practitioners, setting high standards for modeling rigor.
Gametime helps people connect through shared experiences by making it easy to discover and access live events. They operate platforms across the US and Canada, reimagining the event ticket industry to move at the speed of life.
Extract insights from data and deliver a ML project from beginning to end.
Develop machine learning algorithms with huge data sets to solve challenging business questions.
Discover new data sources and create new input features for ML models.
Experian is a global company providing data services. They help organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they are dedicated to innovation and prioritize inclusive culture, employee well-being, and career development.
Design, build, and release AI products/features that solve real user problems
Design and implement streaming/batch data pipelines to support training and inference
Continuously monitor and improve the quality and performance of the systems
Insider One is a platform that integrates marketing and customer engagement tools, enabling teams to maximize their impact. With over 1,500 employees across 30+ offices, Insider One values innovation, collaboration, and social responsibility, fostering a fast-paced and agile environment.
Research and develop Machine Learning models and optimize them for scaled production usage.
Work with colleagues to explore ongoing product issues and recommend innovative ML/AI based solutions.
Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices.
Turnitin is a recognized innovator in the global education space, partnering with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. They are a global organization with team members in over 35 countries, offering a remote-first culture which empowers team members to work with purpose and accountability.
Develop, implement, and validate machine learning and agentic flows.
Drive innovation in modeling approaches while balancing accuracy, efficiency, and interpretability.
Lead the design of benchmarking frameworks, evaluation tools, and metrics.
Federato is on a mission to defend the right to efficient, equitable insurance for all. They are AI-native platform that spans the full policy lifecycle. They move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.
Develop machine learning algorithms with huge data sets.
Improve performances of existing algorithms.
Discover new data sources and create new input features for ML models.
Experian is a global data services company that helps organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.
Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable.
EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
Identify and propose ML opportunities related to your scope and beyond
Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
Deploy and test ML applications using our MLOps infrastructure
Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. They are growing fast and are one of the most impactful, fastest-growing Tech companies in Africa.