Future Tech Jobs
Future Tech Jobs
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native...
Location: United States (Remote)About the RoleAt Ocado we're changing the way the world shops for good. Using our heritage as the leading grocery eCommerce pureplay and our expertise in supply chains and logistics, we provide proprietary technology solutions to facilitate...
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native...
Lead the development and deployment of machine learning models from problem definition through to production, working with real-world operational data. Focus on rigorous experimentation, statistical reasoning, and integration within secure, regulated environments. Collaborate across technical and non-technical stakeholders to deliver impactful, well-engineered solutions.
This role involves building and maintaining MLOps frameworks to deploy, scale, and monitor machine learning models in highly secure, air-gapped environments. You'll work across engineering and data science teams to develop automated CI/CD pipelines, containerised applications, and production-grade ML systems using tools like GitLab, Docker, Kubernetes, MLflow, and Airflow. The role supports critical public sector digital transformation programmes with a focus on security and scalability.
Our MissionAt Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice,...
Lead and mentor a team of data scientists and market researchers to develop data-driven solutions for consumer packaged goods clients. Translate commercial ideas into technical designs using advanced analytics, machine learning, and rapid prototyping, with a focus on delivering MVPs and scalable propositions in close collaboration with client and propositions teams.
Design and develop full-stack software solutions for vision-based systems, spanning embedded devices, edge computing, cloud platforms, and web applications. Work on end-to-end product development from concept to deployment, solving real-world problems in industrial and technical domains using C/C++, Python, and modern web technologies.
As a Senior Software Engineer on the data engineering team, you will work on building and maintaining ultra-high-scale data platforms that process petabytes of data. Your responsibilities will include writing fault-tolerant Java code within Apache Spark, designing scalable data pipelines, and improving the efficiency and latency of high-performance services. You will also research and implement new ways to query data efficiently and provide insights into active threat trends.
The Insights Enablement Lead will design and implement frameworks to transform bespoke insight projects into scalable solutions, ensuring consistent and high-quality delivery across teams and clients. Key responsibilities include assessing project types, embedding AI and automation, and maintaining a repository of scalable solutions and best practices.
As a Senior Applied Data Scientist, you will lead and deliver complex data science projects, applying machine learning and human creativity to solve real-world business problems. You will work closely with the Tesco Personalisation team to develop and deploy scalable personalisation solutions, collaborating with a team of 30+ data scientists.
The role involves designing and implementing security automation workflows, developing integrations using Python and PowerShell, and securing cloud environments across Azure, AWS, and Microsoft 365. The engineer will enhance threat detection, incident response, and security operations by leveraging SIEM, EDR/XDR, and automation frameworks. A key focus is on adopting AI-enabled technologies and improving security efficiency through machine learning and orchestration.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and implementing MLOps practices. You will work closely with Data Scientists to support and improve models in production, and build APIs and data products to enable ML solutions across the business.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, and implement strong MLOps practices.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, and implement strong MLOps practices.
