Future Tech Jobs
Future Tech Jobs
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype experimental solutions, improve scene realism, and build evaluation workflows for robust technology development.
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
The Principal Software Engineer role involves collaborating with product managers and designers to define and implement AI-driven engineering applications. Responsibilities include leading the development of scalable, modular front-end architecture, ensuring service interoperability, and contributing to company-wide software engineering standards.
This role involves designing and implementing biological screening cascades for drug discovery programs, with a focus on in-vitro and cellular pharmacology. The candidate will work cross-functionally with AI, machine learning, and drug design teams to generate high-quality biological data, inform clinical development paths, and advance projects in oncology, immunology, and partnered portfolios. A key responsibility is collaborating with CROs and integrating mechanistic pharmacological insights into digital drug discovery workflows.
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A...
This role involves deep software engineering work on GPU-accelerated video technologies, focusing on optimizing and upstreaming contributions to open-source media projects like FFmpeg and HandBrake. The engineer will collaborate with open-source communities, ISVs, and internal teams to enhance Intel's media capabilities across codecs such as AV1, HEVC, and VP9 using Intel® Quick Sync Video and oneVPL. Key responsibilities include performance analysis, debugging, and influencing hardware-software co-design for next-generation media solutions on Intel platforms.
This role involves deep technical work on optimizing open-source media software such as FFmpeg and HandBrake for Intel's GPU and hardware-accelerated video technologies. You'll develop and upstream code improvements, analyze performance across codecs like AV1 and HEVC, and collaborate closely with open-source communities and Intel engineering teams. The position emphasizes hands-on contributions to media pipelines using Intel® Quick Sync Video and oneVPL, with a focus on real-world applications in transcoding, streaming, and AI-enhanced video workflows.
This role involves leading and scaling the Engineering team, establishing strong engineering processes, providing architectural oversight, and ensuring high-quality delivery of complex projects. The company is a high-growth business at the intersection of AI, data science, and pharmaceutical R&D, offering significant impact and progression.
This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, collaborate with product teams, and act as a key partner to the Director of AI.
This role involves modernising the digital workplace by leveraging Microsoft 365 E5 services and AI-driven solutions. The engineer will lead automation, identity and access management, endpoint security, and Copilot adoption, while building scalable, secure workflows across Teams, SharePoint, Intune, and Power Platform. A key focus is driving AI enablement through Copilot Studio agents, governance, and user training to improve productivity and operational efficiency.
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our...
This role involves working closely with customers to design and implement modern data and AI architectures on the Databricks Data Intelligence Platform. The Solutions Architect will act as a technical advisor, leading workshops, building proof-of-concepts, and translating business needs into scalable technical solutions. They will also contribute to growing the Databricks community through knowledge sharing and best practice dissemination.
This role involves designing mathematical models and Python-based tools to support property decision intelligence. You'll analyze large datasets, build pricing and investment models, and experiment with AI and LLMs to automate research. The position offers hands-on involvement in product development and decision systems, with direct collaboration across engineering, data science, and product teams.
This role involves designing, building, and operating cloud-native AI platform infrastructure across AWS and Databricks. Responsibilities include deploying and scaling containerised services, managing CI/CD pipelines, and implementing observability and security measures for AI workloads.
