Future Tech Jobs
Future Tech Jobs
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to identify and remove bottlenecks.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to remove bottlenecks, contributing to the development of physical AI for applications like autonomous vehicles and video analytics.
This role involves leading and shaping a growing Machine Learning Engineering function, taking ownership of production-grade ML solutions that transform data usage and commercialisation. Responsibilities include designing and building ML pipelines, implementing MLOps processes, and collaborating with Data Scientists and Engineers on complex NLP and LLM use cases.
This role involves designing and building scalable AI solutions using Generative AI, Agentic AI, and modern cloud platforms. You will lead technical delivery, mentor junior engineers, and contribute to engineering standards and best practices within a fast-paced, collaborative team environment.
As a Principal Vulnerability Engineer, you will lead deep research into 0-day and n-day vulnerabilities, design automated discovery and detection tools, and architect LLM-powered workflows. Your focus will be on high-impact vulnerabilities like RCEs and auth bypasses, working in a research-driven environment trusted by Fortune 500 companies.
The Lead AI Engineer will join a growing engineering team to design, build, and deploy scalable AI-powered applications and services. Responsibilities include integrating LLMs, developing APIs and data pipelines, and mentoring engineers while working closely with product and technical stakeholders.
This role involves owning and developing the data and integration infrastructure for AI deployments, designing robust integrations, and ensuring reliable operation of AI systems. The AI Deployment Engineer will work closely with AI Strategists and product stakeholders to take AI prototypes into production, manage data structures, and troubleshoot issues. The position offers the opportunity to shape and scale AI systems in a forward-thinking team.
This role involves designing, developing, and deploying Camunda-based process and decision automation solutions, integrating Java-based microservices, and collaborating with solution architects and business analysts. You will play a key part in defining technical standards, optimizing performance, and mentoring less-experienced engineers.
This role involves leading the design, build, and delivery of advanced AI solutions in financial services and capital markets. Responsibilities include building AI prototypes, working with LLMs, RAG patterns, and modern data platforms, and collaborating with multidisciplinary teams to solve complex challenges.
About the RoleWe’re looking for an experienced Engineering Manager tofound and lead the ChatGPT Infrastructure team in London.You’ll lead asmall, talent-dense, high-impact team building the core runtime primitives and infrastructure that underpin how new ChatGPT experiences are built and scaled.This...
About UsWe are Ocado Technology and we empower global grocery retailers with cutting-edge cloud, robotics, AI, and IoT. Our Ocado Smart Platform (OSP) powers highly automated Customer Fulfilment Centres (CFCs), enabling efficient, single-pick online grocery deliveryAbout the RoleAs an Engineering...
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What...
This role involves designing, developing, and implementing AI-powered applications to modernize financial operations and improve customer experiences. You will work across the full software development lifecycle, integrating AI models, and collaborating with product, engineering, and business teams to deliver scalable solutions.
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients, focusing on high-impact ML systems, production-grade software, and scalable infrastructure. You will collaborate with cross-functional teams, mentor junior engineers, and act as a trusted technical advisor to clients.
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients, focusing on scalable, production-grade ML software and infrastructure. You will collaborate with cross-functional teams to solve critical challenges, define best practices, and mentor junior engineers while ensuring rigorous operational and ethical standards.
