Future Tech Jobs
Future Tech Jobs
The Solutions Architect role at Synthesia involves leading customer implementations end-to-end, designing high-value architectures, and acting as a trusted advisor to technical and business stakeholders. You will collaborate with Sales, Product, and Engineering to drive adoption, create proofs of concept, and shape the platform's evolution.
The Sales Development Representative role involves qualifying leads, conducting discovery calls, scheduling demos, and executing outbound prospecting campaigns. You will work closely with the sales team to engage decision-makers and help grow Synthesia's customer base in a fast-paced, high-growth environment.
As a Machine Learning Engineer, you will work on delivering bespoke AI solutions for diverse clients, focusing on scalable software architecture and best practices. You will collaborate with cross-functional teams to ensure technical feasibility and timely delivery of production-grade ML systems, while also acting as a technical advisor to clients and partners.
This role involves designing and building full-stack AI-powered applications, working closely with data scientists and product managers to turn machine learning outputs into production-ready solutions. The engineer will lead technical delivery, create scalable architectures, and act as a technical authority across cross-functional teams. The position emphasizes ownership, innovation, and client collaboration within a regulated, high-impact environment.
This role involves building and maintaining dashboards for Amazon, marketplaces, and DTC channels, creating scalable reporting solutions, and analyzing key ecommerce KPIs. You will work closely with ecommerce, commercial, and digital teams to deliver accurate and actionable insights that drive business decisions.
As a Lead Machine Learning Engineer, you will set the technical direction for complex AI projects, design and maintain scalable ML systems, and lead a team of engineers. You will drive innovation, mentor team members, and act as a technical expert for clients, ensuring successful project delivery and adoption of new technologies.
As a Lead Data Scientist in the Retail and Consumer team, you will set the technical direction for complex, high-impact projects, mentor cross-functional teams, and drive innovation. Your role involves defining project roadmaps, managing technical risk, and fostering long-term client relationships through strategic oversight and reliable solutions.
This role involves designing, building, and deploying production-grade AI agents and automated workflows using Python and Azure AI platforms. The engineer will integrate AI systems with internal platforms, develop reusable automation components, and ensure solutions are scalable, secure, and maintainable within an enterprise environment. They will also mentor junior engineers and lead technical design in a governed, real-world business context.
This role involves designing and implementing a risk-based data prioritisation methodology for engineering data, ensuring alignment with regulatory requirements and business priorities. You will work closely with engineering, data, and risk teams to develop a pragmatic roadmap for data governance and compliance, focusing on practical and scalable solutions.
This role involves hands-on development and deployment of LLM-based applications into production environments, bridging the gap between AI/ML and production-grade software. You will work in a newly formed R&D team, contributing to modern AI approaches and shaping how data drives product capability in a fast-growing, market-leading company.
This role involves designing and implementing scalable, secure data platforms using Databricks, Apache Spark, and cloud technologies across enterprise clients. You'll lead solution architecture, support pre-sales, and enable AI/ML use cases within modern data lakehouse environments. The position offers exposure to high-impact cloud and data transformation projects in a consultative setting.
As a Data Architect, you will lead the design and delivery of enterprise-wide data architecture, working closely with business stakeholders to translate strategic priorities into robust data solutions. You will define and implement data governance frameworks, act as a trusted advisor on data technologies, and support continuous improvement and innovation.
This role involves leading data-focused projects on financial crime and fraud, analysing large datasets to identify trends and risks, and supporting the design of monitoring and detection processes. You will work closely with business and technical stakeholders, translating data insights into actionable recommendations and supporting junior team members.
This role involves assessing and improving the current analytics and data environment, focusing on Microsoft Fabric, enterprise data architecture, and modern analytics platforms. The successful candidate will provide recommendations and lead improvements in scalability, performance, and cost efficiency while maintaining hands-on technical involvement.
As the Lead Data Scientist, you will own the machine learning and predictive modelling capabilities, working closely with founders and industry experts to design and build scalable forecasting systems. Your role involves applying machine learning, experimentation, and feature engineering to improve prediction accuracy and drive customer outcomes, while also shaping product strategy and best practices in a fast-moving startup environment.
