Latest Cloud Computing Jobs

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and integration into business processes. Establish monitoring frameworks to detect performance issues and data drift, and drive resolution. Champion MLOps practices, automation, and compliance with governance and ethical AI standards while collaborating across technical and business teams.

Mastercard Blanchardstown, Fingal, Ireland

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks to detect performance issues and data drift, and drive resolution. Champion MLOps practices, automation, and CI/CD workflows to streamline model lifecycle management from experimentation to production.

Mastercard Dublin, City Of Dublin, Ireland

AI Infrastructure Engineer, Serving Platform

Design and build scalable, fault-tolerant systems for serving large language models (LLMs) in both research and production environments. Develop internal platforms for LLM capability discovery and integration, with a focus on performance, observability, and system health. Collaborate closely with researchers and engineers to optimize model deployment and support cutting-edge AI applications.

Scale AI London, United Kingdom

Solutions Engineer, Enterprise

This role involves partnering with sales and product teams to deliver technical pre-sales support for enterprise clients adopting AI solutions. The Solutions Engineer will design and prototype custom implementations, develop scopes of work, and collaborate with machine learning and software engineers during post-sales deployment. The position emphasizes deep technical engagement with clients in sectors like fintech, insurance, and SaaS, focusing on Generative AI and large language model applications.

Scale AI London, United Kingdom

On-site Permanent

MLOps Platform Developer / Full-Stack AI Engineer

This role involves end-to-end ownership of a full-stack engineering platform integrating AI, real-time telemetry, and building management systems. You'll operate and evolve an LLM serving stack with fine-tuning pipelines, maintain a React/TypeScript frontend with offline-first mobile capabilities, and manage large-scale PostgreSQL databases and MQTT-based data ingestion from IoT systems. The position combines MLOps, full-stack development, and domain-specific engineering intelligence in the context of energy transition infrastructure.

Anonymous London, United Kingdom

Platform Engineer

This role involves designing and scaling Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services, and supporting machine learning workflows. The engineer will enhance CI/CD pipelines, implement monitoring and disaster recovery systems, and collaborate closely with data science and ML teams to optimize infrastructure for drug discovery. The position is central to enabling scalable, secure, and reliable computational platforms for biomedical innovation.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Machine Learning Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. The engineer will lead technical architecture decisions, operationalise models using frameworks like TensorFlow and PyTorch, and develop scalable ML infrastructure. Collaboration with cross-functional teams and direct client engagement are key, with a focus on translating complex AI concepts into real-world solutions.

Faculty London, United Kingdom

Hybrid Permanent

Data Engineering Lead - AI & Data Automation

Lead and scale a global data, AI, and automation function by designing and delivering trusted data foundations, centralised platforms, and scalable AI solutions. You will manage a distributed engineering team, drive technical strategy across cloud and on-premise systems, and mentor staff while shaping data governance, security, and integration standards. The role involves close collaboration with business stakeholders to translate strategic goals into technical roadmaps using modern AI frameworks and cloud data platforms.

Michael Page Birmingham, West Midlands (county), United Kingdom

Senior Research Data Scientist

Design and prototype advanced AI models using transformers and generative AI for retail and consumer analytics challenges. Translate research into scalable production solutions while collaborating with engineering, product, and academic partners. Drive thought leadership in deep learning and mentor teams to build organisational capability in cutting-edge machine learning.

dunnhumby London, United Kingdom

On-site Permanent

Full Stack Developer

Develop and maintain full-stack software solutions for an AI-driven insurtech product transforming insurance claims handling. Work across C#, JavaScript/TypeScript, and cloud platforms, collaborating with stakeholders to deliver innovative features. Contribute to architecture, code quality, and AI integration in a flexible, hybrid environment.

Horwich Farrelly Manchester, United Kingdom

Data Automation & AI Lead

Lead the development and implementation of enterprise-wide data, AI, and automation capabilities, overseeing both onshore and offshore technical teams. Drive strategic initiatives including trusted data foundations, AI model deployment, and centralised platform adoption across a global organisation. Provide technical leadership in data architecture, security, and emerging AI technologies while mentoring team members and aligning solutions with business needs.

Michael Page Birmingham, West Midlands (county), United Kingdom

MLOps Engineering Manager

Lead and mentor a team of MLOps engineers while driving the architectural and technical delivery of machine learning systems, including a migration from MLflow to AWS SageMaker. Collaborate with data scientists and cross-functional teams to build scalable solutions for predictive maintenance, fault detection, and component lifecycle optimisation. Balance hands-on technical work with people leadership in a hybrid environment with regular office presence.

Uniting Ambition Ruislip Manor, London, United Kingdom £100,000 – £120,000 pa

Senior Solutions Architect (DS/ML/GenAI/LLM)

This role involves designing and delivering end-to-end Data & AI solutions on the Databricks Lakehouse Platform, with a focus on Generative AI use cases such as fine-tuning, RAG, and MLOps for LLMs. The Senior Solutions Architect will lead technical engagements, develop proofs-of-concept, and act as a trusted advisor to customers while mentoring junior team members. Activities include leading workshops, collaborating with sales teams, and contributing to technical community initiatives across the UK&I and EMEA regions.

Databricks London, United Kingdom

Hybrid Permanent

Senior Software Engineer (Python)

Design and build production-grade, AI-driven systems with a focus on safety, compliance, and scalability in regulated financial environments. Develop policy enforcement, behavioural monitoring, and evaluation frameworks for agentic AI workflows on a serverless AWS platform. Collaborate with AI, product, and compliance teams while mentoring engineers and shaping best practices in AI-augmented development.

Aveni United Kingdom

Remote Permanent

Senior ML Engineer

Design and deploy production-grade NLP systems and large language models tailored for financial services, with a focus on scalability, data governance, and regulated environments. Develop fine-tuned, low-latency AI workflows integrated into cloud infrastructure, while mentoring engineers and advancing evaluation methodologies for LLM outputs. Work across the full ML lifecycle from research to deployment in a remote-first, innovation-driven team.

Aveni United Kingdom

Remote Permanent