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.
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.
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.
Define and evolve the technical vision for AI and agentic systems across products.
Design orchestration, data, and serving patterns that handle global scale with reliability.
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
KnowBe4 is a cybersecurity company that puts security first, empowering over 70,000 organizations worldwide to strengthen their security culture. They value radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves.
Design and implement MLOps pipelines to automate model training, deployment, monitoring, and management
Lead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learning
Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable
Egen is a fast-growing and entrepreneurial company with a data-first mindset. They bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights.
Translate complex business problems into solutions that leverage end-to-end, production-level machine learning systems
Develop, iterate on, and productionize machine learning models, owning both model logic and supporting systems.
Implement and own backend pricing services and APIs consumed by the Lime App.
Lime is a global shared micromobility business, operating in close to 30 countries. They are on a mission to build a future where transportation is shared, affordable, and carbon-free. They consider themselves an equal opportunity employer with a diverse and inclusive culture.
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.
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.
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.
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 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.
Define requirements with stakeholders to solve problems.
Develop machine learning models for various data types.
Automate complex data engineering 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.
Drive alignment across teams on ML strategy, standards, and long-term technical direction.
Guide recommendations for ML infrastructure, tooling, and architecture.
Define and evolve ML development processes, including model review, experimentation rigor, deployment, optimization, and operations
Lime is the largest global shared micromobility business. They operate in close to 30 countries across five continents with a mission to build a future where transportation is shared, affordable and carbon-free. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally.
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.
Work in a small, cross-functional team of 3-4 people focused on AI/ML systems.
Take ownership of projects from ideation to deployment with a high degree of autonomy.
Collaborate with product managers and stakeholders to understand customer pain points and deliver impactful solutions.
TriumphPay is building the transportation payments network for the future. Their software touches a combined $37.1B in annualized freight volume. They foster an environment that provides exceptional customer service, entrepreneurial spirit, and building successful partnerships with their clients.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Their exceptional team thrives in a culture of collaboration, creativity, and continuous learning.
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!
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.
Design, build, and deploy machine learning models to improve the accuracy of design imports.
Integrate ML systems into high-performance backend and rendering pipelines.
Define data strategies to continuously improve model performance.
Canva is a design platform that empowers anyone, anywhere to create designs. They have campuses in Sydney and Melbourne, and coworking spaces in other locations throughout Australia and New Zealand, and offers a flexible work environment.