Design, build, and maintain scalable MLOps pipelines for model training, validation, deployment, and monitoring using AWS services.
Implement infrastructure as code and CI/CD workflows to support rapid experimentation and reliable production releases.
Collaborate with data scientists to productionize ML models and ensure reproducibility, versioning, and traceability.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They are a FTSE 100 Index company with a team of 23,300 people across 32 countries, investing in people and new advanced technologies to unlock the power of data and to innovate.
Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them.
Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.
True Accord, a wholly owned subsidiary of TrueML, combines machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. We are a dynamic group of people who are subject matter experts with a passion for change.
Build and productionize reusable MLOps components supporting scalable and reliable ML workflows.
Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility.
Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements.
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non-invasive technology and clinical expertise. They have nearly 100 full-time engineers working across multiple European locations and prioritize work-life balance.
Build scalable Edge infrastructure, designing and maintaining delivery systems for model deployment.
Work with cross-functional teams to integrate complex features, translating research into hardware realities.
Drive automation and reliability by implementing infrastructure to test models and monitor performance.
Hudl builds great teams and hires the best to ensure employees are working with people they can constantly learn from. They provide a culture where everyone feels supported, becoming one of Newsweek's Top 100 Global Most Loved Workplaces.
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.
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 and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
Automate infrastructure provisioning and service configuration with Terraform.
Newsela takes authentic, real-world content from trusted sources and makes it instruction-ready for K-12 classrooms. Each text is published at five reading levels, so content is accessible to every learner; over 3.3 million teachers and 40 million students have registered.
You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards.
You'll join client calls, build relationships, and understand what actually matters on the ground.
You're experienced in and excited by taking a machine learning project from business idea to deployed production system.
Sona is the next generation of AI-native, frontline workforce management. They've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organizations everything they need to staff more intelligently and empower their teams. The team has grown to 140+ and secured over $100M in funding, creating a significant impact on the company's growth trajectory and culture.
Lead a US-based team to automate workflows across our SaaS platform.
Integrate advanced AI and ML solutions into our product.
Guide the technical direction of AI initiatives.
Alvys is the fastest-growing Transportation Management System (TMS) in history, revolutionizing the $800 billion US transportation logistics industry. They are building a world-class, multi-tenant SaaS platform to automate, standardize, and transform this essential sector.
Own the full ML lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement.
Transition AI/ML prototypes into scalable, production-ready systems with CI/CD pipelines, automation, and observability.
Develop and maintain AI-driven applications and inference services, optimizing for performance, scalability, reliability, and cost.
IMO Health combines software development, artificial intelligence, and clinical expertise to create AI-driven solutions. They enhance access to reliable health information, support clinical decision-making, and improve patient outcomes.
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.
Build and maintain infrastructure-as-code for our AWS EKS and GCP GKE clusters, plus on-premises deployments.
Own CI/CD pipelines and drive GitOps adoption.
Deploy, scale, and optimize ML/NLP inference workloads.
Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI.
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.
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.
Build and deploy end-to-end AI/ML solutions, from data pipelines and feature engineering to model training and inference
Develop and maintain data pipelines for ingesting, transforming, and preparing data for analytics and machine learning
Write clean, modular, and maintainable code to support scalable AI applications
Eimagine fosters a remote-enabled environment where their people can thrive. They are a team of professionals who take pride in their craft, continuously learn, and support one another, helping clients navigate technology and business change while delivering meaningful outcomes.
Design and build training pipelines, fine-tuning workflows, and RL infrastructure.
Implement data ingestion and curation systems, inference services, and scalability and backend architecture.
Own the platform that turns models into production systems.
Fastino is building the next generation of LLMs, with a team of alumni from Google Research, Apple, Stanford, and Cambridge. Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb.
Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring
Own data pipelines including generation, cleaning, validation, and versioning
Build and improve experiment tracking, orchestration, and reproducibility tooling
Quilter is helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Their small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC).
Responsible for architecting, developing, and integrating AI and machine learning capabilities.
Leads design and development of AI/ML-enabled application features.
Applies machine learning, natural language processing, or automation techniques.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. As the world’s leading mission capability integrator, they deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.
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.
Design and implement AI-powered systems using a mix of classical ML techniques and modern LLM-based approaches.
Apply a range of techniques—from classical ML to LLM-based approaches with a strong focus on reliability, performance, and maintainability.
Collaborate closely with product managers and designers to deliver high-quality, customer-focused features.
Optro is a leading audit, risk, ESG, and InfoSec platform, exceeding $300M ARR and experiencing continuous growth. They empower over 50% of the Fortune 500 with their award-winning technology, fostering innovation and customer satisfaction, and are recognized as one of North America's fastest-growing tech companies.