Build and maintain backend services on top of a large data platform.
Deliver data workflows for batch and streaming use cases.
Use AWS services such as S3, Redshift, Athena, Kinesis, Glue, Step Functions, Lambda, SQS.
They are a specialist IT Talent Solutions company providing high-quality contract or perm talent across software development, cloud, AI, cybersecurity, and data-driven roles. They connect skilled professionals with innovative companies, offering exciting opportunities to work on impactful projects across the globe.
Own ML powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.
Calendly's product enables millions of people to coordinate easily. They are experiencing exciting product growth, making it a great time to consider joining their journey.
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.
Lay down the first ML and statistical components of the data science platform
Translate business problems and feature needs to machine learning problems
Implement always-on training pipelines
Kamino Retail, powered by Equativ, is a pioneering SAAS platform at the forefront of retail media innovation. They equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results.
Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery
Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
ServiceNow is a global market leader that brings innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Develop machine learning algorithms with huge data sets.
Improve performances of existing algorithms.
Discover new data sources and create new input features for ML models.
Experian is a global data services company that helps organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.
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.
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.
Build a scalable, reliable, operable and performant big data workflow platform.
Drive the usage of Freight's data model across the organization with multiple product teams.
Drive efficiency and reliability improvements through design and automation.
Uber Freight is an enterprise technology company powering intelligent logistics with end-to-end logistics applications, managed services, and an expansive carrier network. Today, the company manages nearly $20B of freight, has one of the largest networks of carriers and is backed by best-in-class investors.
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.
Lead end-to-end design and implementation of large-scale data mining solutions that handle real-time data as well as batch mode ingestion, modeling, and inference
Shape long-term architectural direction, technology stack, and engineering best practices
Identify and mitigate technical risks, ensuring scalability, availability, and reliability across the platform
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. They have over 85 health plans, including many of the top 20, and representing more than 270 million lives; they bring together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, and corporate headquarters in Dublin, Ireland.
Manage machine learning model versioning and compliance.
Implement and monitor ML infrastructure, optimizing resource allocation.
Support validation of AI/ML pipelines, ensuring model accuracy.
We are currently looking for a Machine Learning Administrator. The position allows for a blend of remote work and potential travel, making it versatile and accommodating.
Architect, develop, QA, ship, monitor and maintain throughout the whole software development life cycle.
Use your experience, hands-on and can-do attitude to solve complex problems and drive technological innovations.
Collaborate with various engineering and product teams to ensure our high business standards.
AUTO1 Group is Europe's leading digital automotive platform, revolutionizing the used car market. They are seeking a skilled Java Engineer to architect, develop, and maintain their service-oriented platform with 50+ restful microservices and live an open culture that values diversity.
Build and optimize data pipelines and backend services to process device and behavioral data in real time.
Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
Turn raw data into production-ready features that feed our fraud detection systems.
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Over 300 banks, retailers, and fintechs worldwide use Sardine; they have a remote-first work culture, valuing performance over hours and hiring self-motivated individuals.