Future Tech Jobs
Future Tech Jobs
As a Developer Relations Manager, you will act as the technical liaison between NVIDIA and startups/developers building AI applications for retail and media entertainment. You will optimize model performance using NVIDIA’s tools, create technical content, and represent NVIDIA at industry events to promote AI adoption.
This role involves leading technical engagements with startups and developers in the retail and media and entertainment industries, focusing on AI agents and generative AI applications. Responsibilities include optimizing model performance, building sample applications, and representing NVIDIA at industry events.
JOB ID:FEQ227R179Location:London, UKAt Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone....
This role involves designing and building scalable data platforms, establishing robust data engineering foundations, and ensuring data environments are AI-ready. You will work closely with senior stakeholders, advise on best practices, and operate across varied data maturity levels and technology stacks within different businesses.
This role involves designing and developing customer-focused data science solutions, including segmentation, lifetime value, forecasting, and targeting. You will work closely with the Data Science Lead and other team members to take models from problem definition through deployment and monitoring, and contribute to the development of a new Data Science platform.
This role involves building and maintaining ultra-high-scale data platforms that process petabytes of data from CrowdStrike's Falcon platform. You'll work on fault-tolerant Java microservices within Apache Spark, design scalable data pipelines, and enable efficient querying for threat analytics and machine learning. The team focuses on low-latency data access, distributed systems optimization, and leveraging AWS and Kubernetes for resilient, large-scale data infrastructure.
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.
This role involves designing and delivering sophisticated market intelligence models to identify untapped revenue opportunities in global education markets. You will work closely with commercial and product stakeholders to build scalable data pipelines and propensity models, translating complex analytical findings into actionable business recommendations.
This role involves building and deploying machine learning models for real-world applications, with a focus on structured and text data using NLP techniques. You'll design data pipelines, apply statistical methods to validate models, and collaborate with domain experts to solve complex analytical problems in financial services. The position emphasizes production-ready systems and clear communication of insights to both technical and non-technical stakeholders.
This role involves building and maintaining scalable data pipelines using Python, Spark, and Azure technologies. You'll work closely with stakeholders to automate manual processes, support data modeling, and drive best practices in a growing data function. The position offers a mix of Data Engineering and Data Science responsibilities, providing hands-on technical challenges and the opportunity to shape the company's data strategy.
This role involves building and maintaining scalable data pipelines using Python and Spark within an Azure environment. You'll automate manual workflows, work with large datasets, and support data modelling and analytics, collaborating closely with stakeholders to deliver actionable data solutions. The position offers a mix of Data Engineering and Data Science responsibilities, providing hands-on technical work with significant business impact.
As an Analytics Engineer, you will build and maintain robust dbt pipelines, ensuring data is accessible and well-structured. You'll work closely with analysts, business stakeholders, and product teams to translate business requirements into scalable data models and optimize SQL queries for performance.
This role involves analysing datasets to uncover patterns and trends, supporting the development of machine learning models, and preparing data for analysis. The graduate will create reports and visualisations to communicate insights to stakeholders and collaborate across teams to deliver data-driven impact. It's a hands-on role focused on building foundational skills in commercial data science within a supportive environment.
Leads a data science cluster focused on logistics and fulfillment optimization, deploying machine learning and operations research at scale across Ocado's advanced warehouse and delivery networks. Works closely with engineering and product teams to transition research into production systems, driving efficiency in routing, delivery estimates, and forecasting.
This Data Engineer role involves designing and building scalable data pipelines on AWS, supporting cloud migration, and improving data quality. You'll work closely with analysts and data scientists to enable advanced analytics and machine learning, contributing to a modern, high-impact data architecture.
