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. Collaboration with cross-functional teams and conducting original research are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and scaling workloads 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.
This role involves developing machine learning models to understand cellular responses to interventions using single-cell and multiomic datasets. You will work closely with experimental teams to translate biological questions into modelling problems and contribute to the team's research roadmap on cellular modelling.
This role involves hands-on AI solution development from concept to deployment, working closely with IT, operational, and commercial teams. Responsibilities include building and deploying AI models, ensuring security and scalability, and driving business adoption of AI tools.
The Head of AI will lead the development and implementation of AI capabilities across the organisation, working closely with IT, operational, and commercial teams. Responsibilities include defining the AI strategy, prioritising initiatives, and ensuring secure, scalable, and compliant AI solutions that deliver measurable business impact.
This role involves researching and implementing AI technologies to improve business processes and workflows. The AI Innovation Engineer will collaborate with various departments to identify opportunities for automation and innovation, promote responsible AI usage, and support the adoption of new tools.
The Data Engineer will focus on building and optimizing an Azure-based data platform, developing high-performing pipelines in Azure Data Factory, and supporting the adoption of Microsoft Fabric. This role involves close collaboration with BI Analysts and other teams to ensure data quality and reliability, and to drive smarter decision-making through data.
As a Support Engineer, you will provide technical support, troubleshoot complex issues, and develop automation tools to improve efficiency. You will collaborate with other teams to resolve technical issues, manage 3rd party tools, and contribute to the onboarding of new employees. This role is crucial for shaping the support strategy and driving innovation through automation.
The Product Manager will lead the development of AI solutions for enterprise clients, working closely with cross-functional teams to understand customer needs, define product requirements, and manage the end-to-end product lifecycle. The role involves collaborating with executives and driving the commercialization of AI applications across various industries.
As a Solutions Engineer, you will partner with Account Executives to deliver customized demos and pilots, scope customer technical requirements, and develop actionable project plans. You will work closely with the delivery team to implement solutions and drive strategic initiatives to improve the efficiency of the Solution Engineering team.
This role involves developing algorithms for spatial data correlation and fusion, analysing multi-sensor datasets, and building machine learning models for classification, regression, and tracking. You will work closely with a newly formed data science team to solve real-world problems and deploy models into production systems.
This role involves designing and building AI agents and agentic workflows using LLMs, RAG, reasoning, memory, and tool orchestration to solve complex business problems. You will own the delivery end-to-end, from initial exploration to production deployment, and integrate AI into products and core business workflows.
As a Senior Data Science Engineer, you will design and deliver production-grade Python solutions, build reusable data science modules, and contribute to research and implementation of new approaches. You will work closely with a global team to translate stakeholder requirements into robust, production-ready solutions and mentor junior team members.
As a Senior Research Data Scientist, you will develop and apply advanced statistical and machine learning techniques to solve business problems, particularly in demand forecasting, clustering, and measurement. You will work closely with Price and Promotion experts, create innovative solutions using generative AI, and present findings to internal stakeholders.
As a Full Stack Engineer at Thought Machine, you will work on complex engineering problems across the stack, designing and implementing end-to-end features for both backend services and frontend applications. You will collaborate with cross-functional teams to ensure high standards of security, performance, and user experience, while also translating customer requirements into actionable tasks.
