Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Research new types of fraud and develop new SentiLink products around identity verification.
Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transaction with confidence. They are building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
Extract, clean, and structure data from internal systems
Train, evaluate, and optimise models to improve accuracy and business impact
Continuously monitor and improve model performance
Smart Working believes your job should not only look right on paper but also feel right every day. They aim to break down geographic barriers and connect skilled professionals with global teams for full-time, long-term roles where your contributions are valued.
Lead data-driven product strategy initiatives supporting fraud detection and prevention systems
Design and deliver insights, reporting, and analytical frameworks to detect and mitigate fraud at scale
Define, track, and evaluate key metrics, including machine learning model performance and business impact
Maleda Tech is focused on protecting platform integrity by embedding measurement, experimentation, and insights into product defenses and user journeys. They are a global technology environment with a fraud & safety analytics team.
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 that invests in people and new advanced technologies to unlock the power of data.
Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams.
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 invest in people and new advanced technologies to unlock the power of data.
Design, prototype and productionize scalable machine learning and optimization models.
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
Build end-to-end reusable pipelines from data acquisition to model output delivery.
BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.
Design models and systems to automate and optimize claims handling.
Partner with product and engineering teams to translate claims workflows into ML solutions.
Prototype production-ready models and data pipelines.
Assured is modernizing the insurance industry by providing large insurers with software solutions. They are known for a dynamic and collaborative environment where employees can make a significant impact.
Improve customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling.
Drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products.
Champion the quality and efficiency of model development, and ensure safe and scalable growth of their model portfolio.
Monzo is on a mission to make money work for everyone. They're waving goodbye to the complicated and confusing ways of traditional banking and want to solve problems and change lives through Monzo. The company cares deeply about their 15+ million customers.
Scope and lead ML initiatives end-to-end from identifying opportunities through production deployment.
Design, develop, and optimize ML models and AI systems for document processing and automation.
Build and maintain production ML pipelines that are robust, observable, and scalable.
Medallion is a healthcare technology company building a provider operations platform to eliminate administrative bottlenecks. They are one of the fastest-growing healthcare technology companies, with a mission to transform healthcare at scale and are backed by $130M in funding.
Extend, optimize, and maintain core data models for reports, machine learning, and generative AI.
Implement automation and operationalize ML models to streamline operational processes and improve efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, helping customers enhance client experiences. They value diversity and inclusivity, offering equal opportunities and aiming to create a supportive work environment.
Design and implementation of reliable, maintainable, and scalable GenAI systems.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews and design collaboration.
Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.
Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data and analytic pipelines
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
Bloomreach is building the world’s premier agentic platform for personalization, revolutionizing how businesses connect with their customers. They power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.
Developing ranking and recommendation models that identify high-performing team designs.
Building brandification pipelines to conform to an organisation's brand guidelines.
Building layout extraction and understanding systems that parse Canva's design format.
Canva is a design platform that makes it easy for anyone to create professional-looking designs. They have a flagship campus in Sydney, a second campus in Melbourne, and co-working spaces in Brisbane, Perth, & Adelaide, and provides flexibility in how and where you work.
Build models by executing predefined experiments and templated code within the standard model development paradigm.
Data extraction and preparation for use in solution building.
Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems.
Northwestern Medicine focuses on patient interaction and strives to cultivate a positive workplace. They are a leader in the healthcare industry that provides competitive benefits to their employees.
Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
Yelp's mission is connecting people with great local businesses, requiring the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI). Their engineering culture values individual authenticity and encourages creative solutions, supporting growth in a collaborative environment.
Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
Weave provides an all-in-one platform for small businesses to streamline communications, and patient experiences. The company has a phenomenal culture, and Weave's teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops.
Design and implement scalable ML infrastructure to support model development and deployment
Develop and maintain evaluation frameworks for Large Language Models (LLMs), including RAG-based systems
Evaluate model performance using tools such as RAGAS, DeepEval, or similar frameworks
EX Squared LATAM collaborates with global clients to build innovative digital solutions that drive real business impact. They foster a collaborative, inclusive, and innovation-driven culture where continuous learning and professional growth are at the core of everything they do.
Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets.
Identify and resolve bottlenecks in the training pipeline to maximize GPU utilization and reduce training time.
Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks.
Serve Robotics is reimagining how things move in cities. Their personable sidewalk robot is their vision for the future; it's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. Their team is agile, diverse, and driven aiming to grow robotic deliveries from surprising novelty to efficient ubiquity.
Bring deep expertise in machine learning and applied AI to turn emerging techniques into practical solutions.
Provide broad technical leadership across teams while remaining hands-on in applied research and innovation.
Guide major technical decisions, identify opportunities for differentiation, and translate new ideas into future product capabilities.
Kinaxis is a global leader in modern supply chain orchestration that powers complex global supply chains and supports the people who manage them. They have grown to become a global organization with over 2000 employees around the world, with 6 global offices and a best-in-class HQ in Ottawa, Canada.