Future Tech Jobs
Future Tech Jobs
This role involves designing and managing data pipelines, developing canonical datasets, and ensuring data security and integrity. You will collaborate with various teams to provide robust data solutions, working closely with researchers behind ChatGPT to support product growth and decision-making.
This role involves working closely with startups to optimize their AI systems and workflows, translating complex use cases into actionable insights that improve OpenAI’s models and products. You will collaborate with technical and non-technical teams to identify gaps, design evaluations, and build tools that enhance the quality and safety of AI deployments.
As a Staff Engineer, you will work on developing and releasing new Agentic AI Agents, focusing on UXD, infrastructure, and machine learning challenges. You will have sole ownership of long-term projects, collaborate with product managers, and ensure the commercial success of your features while considering the long-term direction of the team.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, focusing on the Cosmos World Foundation Models. You will work closely with research scientists, software engineers, and hardware experts to improve inference speed and deploy models in production settings.
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.
As a Senior AI/ML Engineer, you will lead the research, design, and delivery of innovative AI/ML solutions for complex real-world problems in national security, defence, and commercial sectors. You will work closely with multidisciplinary teams, mentor junior engineers, and contribute to technical strategy and customer engagement.
The Engineering Programme Manager at Thought Machine is responsible for delivering complex technical programmes within the engineering division. This role involves planning, setting milestones, coordinating multi-team efforts, and ensuring alignment across large cross-functional teams. The manager must have a strong technical background, particularly in modern cloud technologies, and a proven track record in managing cross-functional initiatives.
As a Senior AI Platform Engineer, you will design and build agentic AI workflows that integrate into an existing product platform, enabling intelligent design changes across tools and documentation. You will work closely with product, design, and engineering teams to embed AI capabilities and make architectural decisions around cloud infrastructure and cost optimization.
This role involves leading the engineering and productionisation of machine learning and generative AI solutions, building end-to-end ML pipelines, and working closely with data scientists and engineers to turn experiments into scalable services. You will own MLOps practices, provide technical leadership, and collaborate with stakeholders to shape the company's ML capabilities.
This role involves working at the cutting edge of AI to develop and prototype solutions for real-world public sector problems. Responsibilities include rapid prototyping, model development, applied AI research, and translating ambiguous requirements into technical solutions. The team operates in a fast-paced, innovative environment with a focus on public impact.
This role involves building and delivering solutions using Microsoft 365 and the Power Platform, translating business requirements into practical tools, and enhancing operational processes with AI. You'll work closely with stakeholders to identify improvement opportunities and collaborate with technical teams to deliver scalable solutions.
This role involves leading the design, development, and deployment of advanced AI solutions in financial services and capital markets. Responsibilities include building AI prototypes, integrating with enterprise systems, working with LLMs, and supporting MLOps practices. The role requires strong Python and SQL skills, experience with LLMs, vector databases, and cloud platforms, and the ability to collaborate with multidisciplinary teams.
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.
