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, 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 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.
Design, develop, and maintain high-quality software solutions using Python.
Contribute to the design and evolution of scalable and maintainable software architectures.
Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP).
Lynx Analytics works on real-world AI and advanced analytics solutions with measurable business impact. They have a collaborative culture that values real outcomes, offering high ownership and rapid learning opportunities.
Responsible for building clean, scalable, and reliable solutions that support data-driven and AI‑enabled environments.
Developing well‑tested Python applications and working within cloud-native ecosystems.
Collaborating effectively across engineering, data, and scientific teams, turning complex requirements into production-ready solutions.
Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe.
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.
Design, implement, and manage AI Platform architecture.
Control AI-related costs, including models, GPUs, and other resources.
Collaborate with ML teams to operationalize AI models and integrate them into systems.
Docplanner empowers patients by giving them access to leave and read reviews about their visit and provides doctors with the technology to manage bookings easily and save time. They are leaders in 13 countries with 2,500+ employees globally and maintain a startup-mindset.
Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools.
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
Cresta helps contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun , the genius behind Google X, Waymo, Udacity, and more.
Define the technical vision and lead architecture decisions.
Design and implement systems for AI agents using Docker containers.
Maintain and evolve the open-source cagent project.
Docker makes app development easier, allowing developers to focus on their priorities. They are a remote-first team with over 20 million monthly users and 20 billion image pulls, and its tools are trusted by startups and Fortune 100 companies.
Building world-class AI infrastructure to support a 100+ person research team.
Designing and scaling multi-cloud systems that support high-performance model training and inference.
Improving monitoring, alerting and system observability for AI workloads
Canva is redefining how the world experiences design. It has campuses in Sydney and Melbourne, and co-working spaces in other major cities, trusting employees to choose the balance that empowers them and their team to achieve their goals.
Lead technical discussions with prospects and partners to propose HPE and partner Integrated solutions that address business challenges and opportunities using AI.
Demo AI solutions (either existing or built by you) to prospects that address their use cases or desired AI outcomes.
Lead Proof-of-Concepts / Proof-of-Value engagements for HPE prospects that demonstrate clear value from HPE's AI offerings.
Hewlett Packard Enterprise (HPE) is the global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud. HPE's culture thrives on finding new and better ways to accelerate what’s next, valuing varied backgrounds, flexibility and bold moves together.
Design and deploy high-performance agentic systems that leverage Fastino’s optimized model architectures.
Collaborate with engineering teams to turn novel architectural breakthroughs into scalable solutions for enterprise customers.
Drive rapid, iterative prototyping of AI functionalities, refining model performance and task-accuracy based on real-world telemetry.
Fastino is building the next generation of LLMs with a team of alumni from Google Research, Apple, Stanford, and Cambridge and has developed the GLiNER family of open source models. Fastino has raised $25M through seed round and is backed by leading investors including Microsoft, Khosla Ventures, and Insight Partners.
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.
Partner with teams to co-design scalable solutions.
Lead deployments, considering security and maintainability.
Work with customers to design tailored solutions.
Sama provides high-quality training data that powers AI technology for Fortune 2000 companies. They are experts in data annotation, supporting data for machine learning algorithms and generative AI models and committed to expand opportunities for those who are underprivileged.
Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring systems evolve.
Machinify is a healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. They deploy a configurable, AI-powered platform used by over 85 health plans, representing more than 270 million lives, and foster a flexible and trusting environment.
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.
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.
Influence the technical direction for infrastructure and platform capabilities that support our rapidly growing AI product suite.
Architect and evolve our cloud infrastructure (primarily on AWS) to support current and future products.
Mentor and level up engineers across Platform and product teams; review design docs, guide architecture decisions, and model high standards.
Rad AI is on a mission to transform healthcare with artificial intelligence. Our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. Rad AI has secured over $140M in funding and our valuation is at $528M.
Design and implement APIs, services, and infrastructure.
Prototype rapidly and continuously improve system performance.
Podium brings AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses, they have crossed $100M in AI Agent ARR, scaling 300% year-over-year and empowering real business outcomes for their customers.