Take ownership of an ML deployment system spanning multiple production environments and continue to research efficient and effective strategies.
Improve, expand, and streamline our existing deployment pipelines to support faster deployments and automated model retraining.
Collaborate with Data Scientists to understand model requirements and provide guidance to ensure seamless integration with production environments.
Best Egg is a market-leading, tech-enabled financial platform helping people build financial confidence through lending solutions and financial health tools. They foster an inclusive, flexible, and fun workplace with top-tier benefits and growth opportunities.
Develop 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. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries and corporate headquarters are in Dublin, Ireland.
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.
Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. They help their customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams
Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution
Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable
Apella is applying computer vision and machine learning to improve the standard of care in surgery. They build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care; they are committed to equal employment opportunity.
Implement AI governance policies in collaboration with NBCU Legal, Privacy, and Cyber teams.
Build monitoring and reporting frameworks for AI models and tools, emphasizing cost, tagging, and AI FinOps principles.
Develop and manage ML/AI Ops pipelines including CI/CD for models using GitHub Actions or Jenkins.
NBCUniversal is a media and entertainment company that creates world-class content distributed across film, television, and streaming. They also have global theme park destinations, consumer products, and experiences. NBCUniversal is a subsidiary of Comcast Corporation, and it strives to attract and develop a talented workforce that reflects our world by championing an inclusive culture.
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.
Own the Pipeline from Cloud to Edge, re-architecting machine learning model deployment to edge devices.
Build Shadow Mode Infrastructure to test candidate models on production devices silently.
Drive governance & monitoring by building tooling to monitor model drift and performance from the edge.
Hudl builds great teams and hires the best to foster continuous learning. They provide a supportive culture where employees feel valued, contributing to their recognition as a Top 100 Global Most Loved Workplace by Newsweek.
Strong computer science or engineering background with 3+ years of coding experience with Python.
Advanced knowledge of AWS services including but not limited to their ML services (AWS SageMaker and AWS Step Functions).
Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
Design, implement, and maintain high-performance ML training and inference platforms.
Ship tools that allow any ML engineer to deploy a model in minutes, not days.
Improve scalability, reliability, and cost efficiency of model training and serving systems.
Speechify's mission is to make sure that reading is never a barrier to learning. With nearly 200 people around the globe working in a 100% distributed setting, Speechify's team includes frontend and backend engineers, AI research scientists, and others.
Focus on data ops, ML development pipeline, logging & aggregation.
Torc has been a leader in autonomous driving since 2007. Now a part of the Daimler family, they are focused solely on developing software for automated trucks to transform how the world moves freight. Their culture is collaborative, energetic, and team focused.
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.
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.
Lead a team focused on implementing and maintaining AWS-based data management and execution solutions.
Be responsible for people management, work execution, and representing your team throughout the organization.
Influence the technical roadmap that enables data-driven analytics and machine learning across the enterprise.
Torc is a leader in autonomous driving since 2007 and has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Our culture is collaborative, energetic, and team focused.
Own complex, full-stack AI solutions end-to-end, from applied research to production deployment.
Set technical direction for ambiguous and high-impact use cases, while scaling the AI systems.
Mentor others, lead architectural decisions, and deepen Komodo’s AI-first culture.
Komodo Health is dedicated to reducing the global burden of disease by leveraging data. They have built the Healthcare Map, the industry’s largest view of the U.S. healthcare system. At Komodo, employees are ambitious, supportive, and passionate about delivering on its mission.
Helping improve the infrastructure and data platform using a lean approach.
Creating a data platform and infrastructure optimized for developments using Machine Learning and massive data processing.
Improving the development experience and spreading the DevOps culture in the company.
Clarity AI is a global tech company founded in 2017 with a mission to bring societal impact to markets. They leverage AI and machine learning to provide data, methodologies, and tools to investors, governments, companies, and consumers for informed decisions; they are a team of over 300 individuals with offices in New York, Madrid, London, Paris, and Abu Dhabi, backed by investors like BlackRock and SoftBank. .
Design machine learning solutions using cloud-native technologies.
Collaborate with stakeholders to gather requirements for ML solutions.
Architect ML solutions on cloud platforms with a focus on MLOps.
Jobgether connects job seekers with partner companies using an AI-powered matching process. They ensure applications are reviewed quickly and fairly against core requirements, identifying top candidates for hiring companies.
Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation.
Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions.
Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches and accelerate their own implementations.
Canva is a design platform that enables users to create professional designs. They have a flagship campus in Sydney, a second campus in Melbourne, and co-working spaces in other locations, with a flexible work environment.
Partner closely with data engineering and data science teams to enable reliable data pipelines, analytics, and ML workflows
Support, operate, and optimize Databricks and Snowflake environments in production
Monitor, troubleshoot, and optimize systems for performance, reliability, and cost efficiency
Life360's mission is to keep people close to the ones they love with their mobile app and Tile tracking devices, empowering members to protect what they care about most with services like location sharing and crash detection. Life360 has more than 750 remote-first employees and enhances everyday family life with seamless coordination.