This role involves designing, building, and maintaining scalable data processing systems for CrowdStrike's Intelligence team. You will work on large-scale distributed systems, interact with analysts, and ensure smooth operations of the systems you develop.
This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems, as well as interacting with internal customers to gather requirements and provide training.
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.
This role involves working closely with sales teams to provide technical expertise during the pre-sales process, focusing on Databricks' Data Intelligence Platform. The engineer will engage with clients through hands-on demonstrations, Spark programming, and solution design, helping them solve complex data and AI challenges. Responsibilities include building reference architectures, delivering technical presentations, and participating in customer workshops across industries like financial services, retail, and media.
This role involves owning a portfolio of AI opportunities, working with senior stakeholders to identify problems, shape use cases, and take solutions from discovery to production. You'll collaborate with AI, engineering, and delivery teams, drive user adoption, and ensure initiatives meet privacy and security standards.
This role involves leading a computational project to investigate how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. You will develop and apply advanced AI/ML methods, work with large-scale spatial genomics data, and collaborate with experts at the Francis Crick Institute and Wellcome Sanger Institute.
Lead the identification, prototyping, and evaluation of high-impact AI and automation solutions within a global financial services enterprise. Drive proof-of-concepts and pilot programmes, translating business challenges into practical AI-driven innovations while assessing emerging technologies for capability, security, and scalability. Work closely with senior stakeholders to demonstrate measurable business value and support the scaling of successful initiatives.
This role involves rapid prototyping and experimentation with cutting-edge AI technologies, including generative AI, LLMs, and AI agents, to solve real business challenges in financial services. The engineer will build intelligent workflows and automations, test solutions with end users, and drive innovation from concept to enterprise-scale deployment. The position emphasizes a hands-on, build-first approach within a high-autonomy innovation lab environment.
Lead the design and development of an AI-powered Knowledge Management and Training platform for the fire engineering sector, integrating Explainable AI (XAI) and Machine Learning to improve decision-making and skills consistency. Work embedded within a B Corp-certified consultancy while leveraging academic expertise from the University of Leeds. Drive digital transformation by bridging industry knowledge gaps with data-driven solutions.
This role involves developing and deploying machine learning models, working with large datasets, and collaborating with data engineers and software teams to build predictive analytics solutions. The position offers the opportunity to work on high-impact AI projects across various industries in a modern technology environment.
The Workstream Lead for Agentic AI Risk Modelling and Mitigations will shape the team's strategy, lead scientific research, and ensure practical mitigations are adopted by relevant organizations. Responsibilities include setting research priorities, managing a multidisciplinary team, and building relationships with key stakeholders in government and industry.
Build and iterate AI agents and automations using LLMs, agent frameworks, and platforms like AWS Bedrock, Microsoft, and Snowflake. Test frontier AI tools against real enterprise use cases and rapidly prototype solutions with measurable impact. Work cross-functionally across commercial, operations, and compliance teams to identify and validate high-value opportunities in a fast-paced innovation lab.
The role involves applying AI and machine learning to real-world problems, ranging from early-stage research to developing deployable solutions. You will work on a variety of projects, including designing and deploying machine learning systems, conducting experiments, and collaborating with clients to deliver high-quality technical outcomes.
