Future Tech Jobs
Future Tech Jobs
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
This role involves working closely with research scientists and simulation engineers to build and optimize machine learning models for real-world physics and engineering problems. You will design, implement, and scale models using distributed training architectures and cloud services, while also mentoring colleagues and translating research into reusable libraries and products.
This role involves leading end-to-end deployment of a Kubernetes-based AI simulation platform into customer environments, particularly within high-security, regulated industries. The Field CTO acts as both a senior technical advisor to customer executives (CIOs/CTOs) and a hands-on leader for deployment engineers, ensuring technical delivery aligns with commercial goals. The role requires deep expertise in infrastructure, strong team-building skills, and active involvement in complex deployments across aerospace, energy, semiconductors, and other advanced sectors.
This role involves designing, building, and maintaining multi-cloud infrastructure to support large-scale malware analysis and threat intelligence operations. The engineer will work across datacenter, cloud, and security environments, developing automation, securing workloads, and ensuring system scalability and reliability. The position emphasizes ownership, proactive problem-solving, and collaboration within a distributed team focused on advancing CrowdStrike’s intelligence capabilities.
This role involves designing, building, and maintaining high-performance, fault-tolerant network infrastructure at scale across hybrid cloud environments. The engineer will lead major network improvement initiatives, support IP and optical technologies, and ensure robust connectivity between data centers and cloud providers. Emphasis is placed on automation, reliability, and applying AI to enhance network operations.
You will lead the Translational Science strategy, identifying biomarkers and developing assays to guide clinical paths and patient selection. You'll ensure scientific rigor, partner with the VP of Drug Discovery to build a top-tier team, and collaborate with the London team to maintain unified standards. Your role involves managing in vitro and in vivo biology operations through CROs and fostering a culture of accountability and rapid iteration.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, within a data science team focused on transforming pharma intelligence. Collaborate across engineering and product to build scalable AI solutions, optimize infrastructure for performance and cost, and explore advanced techniques like code interpretation and LLM tooling. The role emphasizes innovation, mentorship, and staying current with advancements in machine learning and AI.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, within a data science team focused on pharma intelligence. Collaborate across product, data science, and engineering to build scalable AI solutions using advanced ML infrastructure and LLM-driven techniques. The role emphasizes system optimization, architectural innovation, and knowledge sharing in a high-impact healthcare domain.
As Head of Medicinal Chemistry, you will lead a team of 25 chemists in London, driving the development of novel drugs using cutting-edge AI and machine learning. You will provide strategic direction, mentor team members, and collaborate closely with AI/ML scientists to accelerate drug discovery and clinical candidate nomination.
The role involves leading and executing techUK's AI adoption initiatives, including managing events, roundtables, and flagship conferences, while engaging with members and stakeholders to shape responsible AI policy and strategy. The Programme Manager will ensure techUK's AI content remains credible and aligned with industry needs, acting as an ambassador across the UK technology ecosystem. This is a non-technical position focused on policy, engagement, and programme coordination within a fast-paced, cross-functional environment.
About the Role:We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to...
This role involves defining and delivering data and AI strategies for large enterprise clients, working closely with C-suite stakeholders. You'll lead strategy development, identify high-value AI use cases, and advise on governance and transformation programmes. The position emphasizes strategic advisory over technical delivery, with a focus on translating complex concepts into actionable insights within regulated industries.
This role involves leading the strategic development and delivery of AI transformation programmes for enterprise clients in regulated sectors. The AI Practice Lead will define technical and business strategies, drive innovation in Generative AI and data platforms, and mentor cross-functional teams. Key responsibilities include shaping AI roadmaps, leading high-impact client engagements, and building scalable, industry-specific solutions.
This role involves designing and developing AI and machine learning models to support client and internal projects, applying advanced AI techniques to real-world business problems, and contributing to research and development initiatives. You will work closely with stakeholders across data, analytics, and business teams to integrate AI into decision-making processes and present insights to both technical and non-technical audiences.
