Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves collaborating with cross-functional teams to push the boundaries of accelerated computing for AI.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
The Lead Data Steward role involves championing data governance, enhancing data quality, and ensuring compliance with GDPR and internal security protocols. You will act as a focal point for data stewardship, manage data activities, and drive actionable improvements to data quality, while supporting data owners and stakeholders.
The Lead Data Steward role at Capital One involves championing data governance, enhancing data quality, and ensuring compliance with GDPR and internal security protocols. You will act as a focal point for data stewardship, manage data activities, and drive actionable improvements to data quality, while supporting strategic initiatives and AI solutions.
This role involves leading the strategic design and enterprise-wide adoption of AI, ML, and intelligent automation. Responsibilities include defining the AI vision, building high-performing teams, and delivering transformative solutions that drive business value. The Director will work closely with C-suite stakeholders and global teams to embed AI-first thinking and shape the future of intelligent enterprise systems.
This role involves designing and maintaining scalable data platforms and AI/ML pipelines, with a focus on Retrieval-Augmented Generation (RAG) systems and GenAI integration using cloud platforms like AWS, GCP, or Azure. The engineer will work within agile squads to deliver secure, compliant data solutions while mentoring team members and advancing AI-assisted application architectures.
This role involves building and maintaining scalable AI/ML data platforms with a focus on reliability, automation, and incident resolution. The engineer will use tools like Databricks, Snowflake, and AWS to develop resilient systems, reduce operational toil through automation, and apply AI-assisted development practices securely. Collaboration with cross-functional teams and mentoring within a global engineering environment are key aspects of the position.
If you are a current Jazz employee please apply via the Internal Career site.Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate totransform the lives of patients and their families. We are dedicated to developinglife-changing medicines for...
This role involves designing and delivering end-to-end AI solutions for clients and internal projects, focusing on Generative AI, Machine Learning, and Intelligent Automation. The architect will lead technical design, advise on AI strategy, and ensure responsible AI practices including governance, explainability, and compliance with regulations like the EU AI Act. Collaboration with data scientists, engineers, and stakeholders is key to translating business challenges into scalable, production-ready systems.
This role involves developing and deploying automated machine learning pipelines for insurance risk modelling and pricing. The engineer will tune and maintain ML models using DevOps and MLOps practices, apply test-driven development, and work closely with data science teams to improve product offerings across motor, home, and commercial lines. The position also includes mentoring junior engineers and contributing to a culture of technical excellence.
This role involves leading end-to-end data science initiatives to enhance player engagement and business outcomes in the gaming industry. The Principal Data Scientist will develop machine learning and reinforcement learning models, drive experimentation frameworks, and translate complex insights into actionable strategies. They will also provide technical leadership, mentor teams, and collaborate across engineering and product functions to build scalable data products and improve decision-making.
This role involves building and maintaining enterprise-grade data pipelines using Azure tools, developing automated ETL/ELT processes, and ensuring data quality and security. You'll work closely with data architects, analysts, and non-technical stakeholders to create well-modelled datasets and support AI and machine learning initiatives.
This role involves working within a high-growth data and machine learning team, embedding into portfolio companies to deliver data science and machine learning initiatives. Responsibilities include partnering with C-suite stakeholders, designing and deploying machine learning solutions, and contributing to best practices in data science and engineering.
Develops advanced predictive models and data assets to enhance insurance pricing strategies, focusing on risk assessment, claims prediction, and fraud detection. Works within a collaborative analytics team to innovate pricing algorithms using machine learning and new data sources in a dynamic, tech-driven environment.
As a Data Engineer at Clariti AI, you will play a key role in improving the production quality of the company's price optimization software. Responsibilities include building and optimizing ETL/ELT pipelines, scaling infrastructure, and collaborating with clients on pricing decisions. The role offers significant growth opportunities and involvement in various aspects of the business.
