Latest Platform Engineering Jobs

Senior Staff Software Engineer - Delta

Design and develop high-performance backend systems for Databricks workspaces, focusing on scalability, low latency, and reliability. Lead technical projects across teams, mentor junior engineers, and contribute to open-source initiatives like Delta Lake. Work on large-scale distributed systems processing exabytes of data daily.

Databricks London, United Kingdom

Data Engineer

Build and maintain scalable data pipelines within a modern Azure, Snowflake, and Microsoft Fabric environment. Develop data warehousing solutions, dimensional models, and datasets to support analytics and reporting. Collaborate with analysts and stakeholders to ensure high-quality, well-documented data assets. Work in a hybrid setup with one day per week in the Liverpool office.

Harnham - Data and Analytics Recruitment Liverpool, United Kingdom £35,000 – £45,000 pa

MLOps Engineer

This role involves owning and developing the MLOps infrastructure for a growing AI platform, building and maintaining orchestration pipelines, deploying ML workloads on Kubernetes, and implementing CI/CD and monitoring systems. You will work closely with Data Scientists and ML Engineers to scale deployments and support real-world impact.

Harnham - Data and Analytics Recruitment London, United Kingdom £75,000 – £85,000 pa

Senior Specialist Solutions Architect (SSA - Cloud Infrastructure)

This role involves guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on AWS, Azure, or GCP. Responsibilities include designing secure, scalable deployments, leading technical discussions, and influencing product direction based on customer feedback.

Databricks London, United Kingdom

Senior Specialist Field Engineer - Networking

This role involves serving as the primary technical contact for customers using CoreWeave's AI-optimized cloud infrastructure, with a strong focus on networking within high-performance computing and Kubernetes environments. The engineer will lead proof-of-concept deployments, optimize customer workloads, and contribute to product development by providing field insights. It combines hands-on technical delivery with strategic input into networking architecture and performance optimization for AI workloads.

CoreWeave London, United Kingdom

Hybrid Permanent

Senior Applied Scientist, Efficient LLM Inference & Model Optimization

This role involves leading research projects in efficient LLM and VLM inference, developing and evaluating methods for quantization, distillation, and model optimization. You will collaborate with engineering teams to translate research findings into production capabilities, focusing on performance metrics like latency, throughput, and cost efficiency.

Nebius London, United Kingdom

Senior Machine Learning Engineer, LLM Inference Optimization

This role involves optimizing large language models and vision models for inference, focusing on latency, throughput, memory efficiency, and cost. You will work on complex optimization projects, debug performance issues, and collaborate with kernel and platform engineers to improve production systems.

Nebius London, United Kingdom

Database Engineer

This role involves configuring, deploying, and supporting enterprise database platforms, including Oracle, PostgreSQL, MongoDB, Cassandra, and Couchbase. Responsibilities include database administration, performance tuning, security, and automation across development, test, staging, and production environments.

Innova Solutions London, United Kingdom £30 – £40 ph

Infrastructure Engineer (BMS) - DV Cleared

This role involves designing, delivering, and operating critical infrastructure for telecommunications, focusing on Building Management Systems (BMS), Central Monitoring Systems (CMS), and CCTV. The engineer will drive automation using tools like Terraform, Ansible, and PowerShell, resolve complex platform challenges, and enhance security and performance.

Matchtech London, United Kingdom £600 pd

Senior Backend Engineer (Java)

This role involves designing, building, and scaling resilient, high-performance distributed systems using Java and Spring Boot. You will lead technical initiatives, influence system architecture, and collaborate with product managers and frontend engineers while leveraging modern AI tools like Claude and Codex.

Randstad Technologies Recruitment Manchester, United Kingdom £450 – £500 pd

Lead Data Engineer - AWS / AI / SQL

This role involves leading the development and maintenance of a modern, scalable data platform using AWS technologies, SQL, and Python. Responsibilities include designing a Customer Data Platform, automating data processes, and managing a small team of Data Engineers.

Adria Solutions Manchester, United Kingdom £70,000 – £90,000 pa

DevOps Engineer

This role involves managing Kubernetes clusters, automating deployments, and optimizing AWS cloud infrastructure. You will work on platform enhancements, API development, and ensure smooth platform integration while maintaining a focus on reliability.

Reperio Human Capital Dublin, City Of Dublin, Ireland £86,324 – £103,589 pa

Lead Java Engineer

This role involves designing, building, and delivering backend services for a national data exchange platform, focusing on secure, scalable, and production-critical services. You will work with Java, Spring Boot, Kafka, and Kubernetes, while mentoring developers and contributing to the full software lifecycle, including testing, CI/CD, and cloud deployment.

ISR Recruitment United Kingdom £550 – £575 pd

Remote Contract Clearance Required

Automation Engineer

The role involves designing and developing automation solutions for enterprise SASE and network security environments, using Python, Terraform, and REST APIs. The focus is on improving repeatability, scalability, and reliability across security infrastructure, with close collaboration with network, security, and engineering teams.

83zero United Kingdom £500 – £525 pd

Solutions Architect, CSP GTM

Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and GCP technologies for enterprise and developer audiences. Support partners and customers in optimizing GenAI and machine learning workloads across training and inference pipelines. Collaborate with engineering and product teams to integrate NVIDIA platforms into hyperscaler environments, with a focus on real-world performance and scalability.

NVIDIA Reading, United Kingdom