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.
Designing, deploying, and optimizing data-driven machine learning solutions on AWS.
Creating secure and scalable ML systems, enabling effective data management and model deployment.
Leading the enhancement of best practices within the data and ML lifecycle, making a substantial impact across projects and teams.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Support the full operational lifecycle of both traditional machine learning systems and emerging generative AI driven applications.
Enable scalable training, evaluation, deployment, and monitoring for a wide range of ML and GenAI workloads.
Manage model upgrades, framework versions, regression testing, maintenance tasks and maintaining performance across systems and solutions.
Achievers' employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. They're a team of passionate, thoughtful builders with more than 4.3 million users across 190 countries, who care deeply about their product, their customers, and each other.
Develop and optimize AI-driven solutions for our end-to-end platform.
Integrate AI capabilities into production systems to enhance functionality and performance.
Fine-tune and optimize existing solutions for specific product requirements, ensuring efficiency and reliability.
Smarter Technologies is an automation and insight platform for healthcare efficiency, providing an AI-powered revenue cycle management (RCM) platform. They combine proprietary agentic agents, human-in-the-loop AI agents, clinical ontology, and global financial and administrative services to empower healthcare organizations.
Design, build, and maintain machine learning model productionization infrastructure.
Streamline model training, validation, and deployment in collaboration with the data science team.
Implement robust monitoring and alerting for model performance, drift, and data quality.
The Athletic delivers in-depth coverage of sports, teams, and athletes. Their newsroom of 500+ full-time staff covers hundreds of professional and college teams across North American markets and football clubs.
Define and evolve AI and data science technical strategy.
Architect and build production AI systems including LLM applications.
Partner with product management to translate business requirements.
Wiser Solutions offers a suite of in-store and eCommerce intelligence and execution tools. They aim to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Design, develop, and deploy machine learning models and pipelines using Python
Build and maintain end-to-end ML systems from data ingestion to model serving
Write clean, efficient, and maintainable Python code following best practices
Activate Group was named by the Sunday Times as one of the UK’s 100 fastest-growing private companies. They employ more than 700 team members nationwide and work with some of the UK's largest fleets and insurance companies, supporting drivers involved in road incidents.
Design and build scalable and efficient ML models.
Serve as the go-to expert for all machine learning-related inquiries.
Conduct in-depth research to stay at the forefront of the fields.
Game Plan Tech empowers public sector organizations with best-in-class Google solutions. They foster a collaborative environment where you can make a significant impact, drive innovation for our clients, and advance your career.
Design, implement, and maintain robust, containerized, and reproducible pipelines for model training, evaluation, and deployment—across both batch and real-time settings.
Build and manage ML services, APIs, and model serving infrastructure using tools like MLflow, Amazon SageMaker, and Feature Store.
Set up and maintain monitoring, observability, and alerting systems to ensure high availability and performance (including model/data drift, feature logging, and inference latency).
AUTO1 Group Technology drives innovation in the used car market across Europe. They operate at the intersection of software engineering, data science, and DevOps, helping bring state-of-the-art ML models—such as large-scale recommendation systems and transformer-based neural networks—safely into production.
Lead and manage a team of ML engineers, scientists, and researchers, fostering mentorship, development, and retention.
Execute the machine learning roadmap, focusing on 3D deep learning, computer vision, and generative AI applications.
Partner with product, engineering, and research stakeholders to align technical strategy with business objectives.
Jobgether is using an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They appreciate your interest and wish you the best!
Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides the first and only client experience platform for appointment-based, self-care businesses, empowering customers to give their clients more of the magical moments that matter most. They value diverse backgrounds and believe in equal opportunity for all.
Design and execute advanced AI/ML models for integration into internal tooling and external client-facing products.
Lead experimentation efforts: define hypotheses, design interpretable tests, analyze results, and communicate findings effectively.
Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies.
Own and evolve ML Ops architecture, including CI/CD for models.
Serve as a player-coach, contributing directly to design reviews.
AvaSure is revolutionizing healthcare with cutting-edge virtual care solutions that protect patients and empower clinical teams. We're proud of our collaborative culture where innovation thrives and every team member is valued.
Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies to improve scalability and reliability.
Lead complex, high-risk, or cross-departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
Bondora's mission is to empower people to enjoy life more while alleviating the stress of managing finances. Founded in 2008, Bondora has served over 1 million customers for 16 years and is rapidly growing as a fintech company, set to acquire a banking license and expand investment and loan products across Europe.
Lead hands-on development of EnableComp’s predictive intelligence platform.
Own ML model development for work prioritization, business insights, and strategic decisions.
Architect and build the platform before scaling a team.
EnableComp solves complex claims. With Complex Revenue Intelligence™ (CRI), they help hospitals recover $3 billion annually, recognized as Black Book’s #1 Specialty RCM provider and a Top Workplaces honoree, with a SOC 2 Type II and HITRUST e1-certified platform.
Shape the future of AI-powered search across all OLX verticals.
Lead the design and evolution of OLX’s Search AI Platform, developing LLM- and GenAI-based systems.
Prototype, evaluate, and productionize new ML models, including embedding-based retrieval, personalization, and relevance optimization.
OLX is building a more sustainable world through trade, making it safe and convenient to buy and sell cars, find housing, get jobs, and buy and sell household goods. They serve millions of people around the world every month through consumer brands including OLX, Otodom, AutoTrader, Property24.
Build and optimize data pipelines and backend services to process device and behavioral data in real time.
Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
Turn raw data into production-ready features that feed our fraud detection systems.
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Over 300 banks, retailers, and fintechs worldwide use Sardine; they have a remote-first work culture, valuing performance over hours and hiring self-motivated individuals.
Manage the analytics data warehouse to make it scalable and reliable.
Build and scale data catalogs and a semantic layer for the data infrastructure.
Sibill is the accounting and financial operating system for small and medium businesses (SMBs). They integrate invoicing, payments, treasury, and accounting in one modern platform and are backed by top international investors..
Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases.
Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources.
Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.
Bugcrowd empowers organizations to take back control and stay ahead of threat actors. With a network of hackers, Bugcrowd brings diverse expertise to uncover hidden weaknesses and adapts swiftly to evolving threats.