Latest Cloud Infrastructure Jobs

Senior MLOps Engineer - DSX Enablement

This role involves building and deploying custom AI solutions on NVIDIA's NeoCloud and partner cloud platforms, with a focus on distributed training, inference optimization, and MLOps pipelines. The engineer will act as a technical advisor to both internal and external customers, diagnosing complex full-stack AI/ML system issues and contributing to open-source tools and reference architectures. Emphasis is placed on performance tuning, cross-team collaboration, and enabling cutting-edge AI workloads on NVIDIA hardware and software stacks.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior MLOps Engineer - DSX Enablement

Develop and optimize scalable MLOps pipelines and AI infrastructure on NVIDIA's NeoCloud and partner platforms, supporting large-scale training and inference workloads. Serve as a technical advisor to internal and external teams, diagnosing cross-stack performance issues and contributing to open-source tools and reference architectures. Focus on accelerating AI initiatives through deep systems expertise and collaboration with infrastructure and framework teams.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior Full Stack Software Engineer

Design and build full-stack platforms that translate complex data science and AI insights into production-grade applications, with a focus on scalability and performance. Lead technical architecture, mentor engineers, and collaborate closely with data scientists and product managers in a regulated financial services context. Work across frontend and backend systems to deliver secure, reliable software solutions for high-impact clients.

Faculty AI London, United Kingdom

Hybrid Permanent

Platform Engineer

This role involves designing and maintaining the MLOps and deployment infrastructure that enables data scientists to transition machine learning models from exploration to production. The engineer will work across AWS, Azure, and GCP to build scalable, containerised systems using Kubernetes and infrastructure-as-code tools. The focus is on creating reliable, secure, and high-performance platforms that support client-facing AI solutions.

Faculty AI London, United Kingdom

Hybrid Permanent

Forward Deployed Software Engineer

A Forward Deployed Software Engineer at PhysicsX works directly with customers and engineering teams to build and deploy AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. The role involves full-stack development, rapid prototyping, and on-site collaboration, with a focus on delivering production-grade tools using physics AI models. Engineers contribute to backend services, APIs, and platform features while shaping product direction based on real-world customer needs.

PhysicsX United Kingdom

Hybrid Permanent

Senior Software Engineer (Safety)

As a Senior Software Engineer, you will lead the development and deployment of cutting-edge AI systems for high-impact missions. You will design and build scalable, production-grade ML software and infrastructure, collaborate with cross-functional teams, and mentor junior engineers.

Faculty London, United Kingdom

Permanent

Senior Machine Learning Engineer (Safety)

As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for high-impact missions in national security and AI safety. You will design and build scalable, production-grade ML software and infrastructure, mentor junior engineers, and collaborate with cross-functional teams to ensure AI systems are secure, trustworthy, and safe.

Faculty London, United Kingdom

Permanent

Senior Forward Deployed Software Engineer

This role involves building and deploying AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. You'll work directly with customers and data scientists to design end-to-end tools, develop RESTful APIs in Python, and deploy physics-based microservices on cloud infrastructure. The role emphasizes rapid prototyping, user feedback iteration, and distilling cross-domain solutions into reusable platform features.

PhysicsX United Kingdom

Model Release Engineer

The role involves designing and building automated services and workflows to move AI models from development through testing to production release. It requires close collaboration across multiple engineering teams to integrate systems and improve the reliability and transparency of the model-release lifecycle. The engineer will use AI-assisted development to automate manual tasks and enhance delivery speed.

Wayve London, United Kingdom

Staff Robotics Engineer, AV Core

As a Staff Robotics Engineer, you will lead the technical direction and delivery of fault detection and fallback systems for driverless operation. You will collaborate with machine learning experts, design robust systems, and integrate them into the shared driving stack, ensuring the overall robustness of the robot system.

Wayve London, United Kingdom

Data Scientist (Sovereign Territory Surveillance)

The Data Scientist role at SRT Marine Systems involves solving complex maritime and security-based problems using machine learning and data science techniques. You will develop and evaluate models for anomaly detection, track pattern recognition, and behaviour classification, working closely with developers and infrastructure engineers to integrate these models into user-facing features and scalable data pipelines.

SRT Marine Systems PLC Swindon, Wiltshire, United Kingdom £55,000 – £85,000 pa

Graduate AI and Secure Technologies Engineer (2026 start)

Work on cutting-edge security and AI engineering challenges across critical infrastructure, defence, and emerging technologies. Contribute to threat modelling, secure-by-design architectures, vulnerability analysis, and security assurance in multidisciplinary teams. Engage in full lifecycle engineering from concept to deployment, with opportunities to interact directly with clients and develop technical prototypes.

Cambridge Consultants United Kingdom

Graduate AI and Secure Technologies Engineer (2027 start)

This role involves working on real-world engineering challenges in cyber security, AI, embedded systems, and connected technologies. You'll contribute to threat modelling, security risk assessments, and secure-by-design system architectures, collaborating with multidisciplinary teams on projects across various sectors including defence, industrial systems, and critical infrastructure.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

Principal Architect – AI

This role involves leading the strategic and technical adoption of AI across engineering, product, IT, and operations at Becrypt. Responsibilities include identifying AI opportunities, designing secure AI platforms, and developing governance frameworks. The role requires hands-on technical expertise in Docker, Python, FastAPI, TypeScript, and AWS Bedrock, as well as a strong understanding of security and compliance.

Becrypt Ltd London, United Kingdom

Anthropic Fellows Program, AI Safety & Security

This role involves conducting empirical AI safety research over a 4-month fellowship, working on projects such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows receive mentorship from Anthropic researchers, access to compute resources, and produce public outputs like research papers. The program supports remote participation in the UK, US, or Canada, with optional co-location in London or Berkeley.

Anthropic United Kingdom

Hybrid Internship