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.
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.
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.
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.
Architect enterprise-grade AI systems using LLMs and multimodal models.
Design end-to-end pipelines for data ingestion, model training, and deployment.
Define engineering standards for MLOps and data quality.
Jobgether connects job seekers with companies using AI-powered matching. They focus on quick, objective, and fair reviews of applications, but do not mention employee count or company culture.
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.
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.
Build and operate scalable backend services and internal APIs for the AI platform.
Integrate LLMs and AI tool execution into reliable, production-ready workflows.
Own production reliability for AI platform infrastructure through observability, alerting, and incident response.
MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. They are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities, powering operational excellence for 13,000+ businesses. MaintainX recently completed a $150 million Series D round, at a valuation of $2.5 billion.
Lead the delivery of Data Integration and Analytics solutions across major cloud platforms.
Engage with customers to provide architecturally sound designs and strategic growth plans.
Drive technology innovation and improving technical knowledge.
Jobgether helps match candidates using AI-powered matching. They have been established since 2008 with 1300+ talents globally and foster a diverse and inclusive work community.
Designing, architecting, and implementing modern, secure Azure AI platforms.
Enabling Data Science teams by building the "paved road" for deploying Azure ML Workspaces and GenAI services.
Automating model retraining, versioning, and deployment to inference endpoints using Azure DevOps.
Nordcloud is a European leader in cloud implementation, application development, managed services and training. It is a recognized cloud-native pioneer with over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Nordcloud values diversity and is dedicated to providing equal opportunities for all candidates and employees.
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.
Partner with sales teams to respond to RFPs, RFIs, and client inquiries.
Design end-to-end technical solutions that align with client business needs.
Lead technical presentations and solution demonstrations to clients and prospects.
Jobgether is a company that connects job seekers with partner companies. They use an AI-powered matching process to ensure applications are reviewed quickly and fairly.
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.
Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions.
Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies.
Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution.
CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. They are passionate about their work and the results they achieve for their clients. From the outset, their founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today they work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
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.
Research and develop Machine Learning models and optimize them for scaled production usage.
Work with colleagues to explore ongoing product issues and recommend innovative ML/AI based solutions.
Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices.
Turnitin is a recognized innovator in the global education space, partnering with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. They are a global organization with team members in over 35 countries, offering a remote-first culture which empowers team members to work with purpose and accountability.
Design and implement data solutions for enterprise customers.
Create and maintain technical documentation and architectural diagrams.
Ensure quality and governance standards are met throughout the engineering lifecycle.
Jobgether is a company that helps candidates get hired. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
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 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.