Future Tech Jobs
Future Tech Jobs
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, including the Model Development Platform and GPU Compute platform. Responsibilities include defining SLOs, improving capacity planning, leading incident response, and enhancing observability and automation. The position is ideal for someone with experience in SRE, large-scale cloud systems, and GPU-backed environments.
As a Staff ML Performance Engineer, you will focus on optimizing machine learning inference for edge devices and GPUs, working on large transformer-based models. You will collaborate with model developers, profile and optimize the full inference stack, and contribute to technical roadmaps and tooling.
This role involves designing and building scalable AI-enabled applications and services within a GCP environment, with a focus on transitioning AI proof of concepts into secure, production-grade systems. The engineer will lead technical initiatives, mentor junior team members, and drive best practices in cloud-native AI development. Key work includes developing AI agents, intelligent automation, and collaborating across data, product, and business teams to deliver enterprise-scale solutions.
This role involves leading technical architecture and automation initiatives for workplace technology, focusing on Microsoft 365, AI-driven solutions, and integration with service platforms like ServiceNow. The engineer will act as an internal consultant, designing scalable automation patterns, driving Copilot adoption, and improving operational efficiency through scripting and infrastructure-as-code. Emphasis is placed on pragmatic, hands-on delivery within agile environments.
This role involves designing and building scalable AI and machine learning solutions within Barclays' AI and engineering ecosystem, with a focus on responsible and enterprise-wide adoption. The engineer will work on modern AI technologies including generative AI, LLMs, and retrieval-augmented generation, collaborating with data scientists and stakeholders to deploy secure, production-grade systems. Emphasis is placed on cloud-based architectures, data pipelines, and alignment with governance, risk, and strategic business objectives.
Location: UK Wide (Hybrid/On-site as required)Outside IR35 - Rate £50-£80 p/hSecurity Clearance: Must be eligible to obtain and maintain UK Security Clearance (SC)RC Fornax is looking for a Software Engineer – Advanced Signal Processing & AI. This is an exciting...
Design and implement scalable, production-grade machine learning systems from concept to deployment, translating research into robust real-world solutions. Own the full ML lifecycle including data, training, deployment, and optimisation within a small, high-performing technical team. Focus on performance, reliability, and low-latency inference using modern ML infrastructure and GPU acceleration.
Leads the creation and scaling of a forward-deployed engineering team focused on implementing complex AI solutions within enterprise clients. Combines technical leadership with client engagement to shape AI delivery frameworks and influence architecture across high-profile deployments. Builds engineering standards and repeatable processes for large-scale AI platform integration.
In this role, you will design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure. You will develop core services and APIs, architect scalable distributed systems, and optimize backend performance for latency, throughput, and cost.
As a Lead Engineer on the Application Platform Team, you will guide the development of a modern, unified intelligence layer for AI and real-time data. You will work closely with platform, product, and data teams to deliver scalable, production-ready solutions while fostering a collaborative, high-performing engineering environment.
The Senior AI Engineer will design and develop production-grade AI systems, focusing on RAG pipelines, generative AI workflows, and LLM optimization. Key responsibilities include building scalable solutions, implementing retrieval strategies, and mentoring junior engineers within a growing AI team.
This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and represent Capital One in external ML/AI forums.
This role involves building and managing secure, scalable cloud environments on GCP and Azure to support enterprise AI workloads, including model hosting, vector databases, and LLMOps pipelines. The engineer will implement infrastructure-as-code, secure API gateways, manage cloud costs, and ensure compliance across AI development environments. It’s a hands-on position at the intersection of cloud engineering and AI infrastructure within a regulated financial services setting.
