IQVIA★3.7 (2.7k)· London

Senior AI Platform Engineer working with LLMs, GPU infrastructure (AWS, on-premises), Slurm, Kubernetes, Ray, PyTorch, CUDA, vLLM, TensorRT-LLM, NVIDIA NIM, and profiling tools. The role defines and delivers infrastructure strategy for IQVIA’s LLM programmes, transforming research into production-ready AI for healthcare.

Build core backend services for DDN’s Infinia AI Data Platform, working with Go, C++, Java, or Python, REST/gRPC APIs, Kubernetes, and microservices in hybrid OnPrem/cloud environments. You will design scalable distributed systems for control-plane orchestration, lifecycle management, and policy enforcement at petabyte scale. This hands-on technical leadership role contributes to API governance, observability, and security across the platform.

Work with PyTorch, TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL to train, optimise and deploy deep learning models for autonomous driving. You will own end-to-end delivery of model releases, applying techniques like quantisation and distillation to meet tight on-vehicle runtime constraints.

You'll work with AWS, GCP, SIEM, EDR, DLP, MDM, Python, Go, and TypeScript. Risk Ledger builds a network for supply-chain organisations to share security maturity and visualise risks. You'll mature security operations, detection, incident response, and cloud security across cloud, endpoint, and SaaS environments.

You will work with Java, Swift, C, Go, Python, and Kubernetes to design and operate highly scalable distributed systems. The team builds Apple’s foundational privacy-focused platform for iCloud, including Advanced Data Protection and Private Cloud Compute, supporting over a billion users.

Blockchain★3.4 (14)· London

Lead a small engineering team building crypto savings and crypto-backed lending products at Blockchain, using Kotlin or Java, Kafka, PostgreSQL, and Redis. You will define technical architecture, design distributed systems, and drive best practices in a hands-on role.

You'll work with TypeScript/Node.js, React, Java/Kotlin, REST APIs, event-driven architectures, AWS, Docker, Kubernetes, Kafka, Keycloak, and observability tooling. You'll lead the PRIIP Cloud platform, WallStreetdocs' cloud-based documentation and reporting system for structured products and derivatives in regulated financial services. No team size is specified.

Senior Software Engineer (L5) contract role on Prime Video Edge Control team. Work with Java, Kotlin, TypeScript, AWS (EC2, NLB, ElastiCache, Lambda, DynamoDB), and AWS CDK to build and operate scalable services for client configuration, push notifications, observability, and a remote AI MCP platform.

Build backend systems with Kotlin or Java, Kafka, PostgreSQL, Redis, and microservices for a crypto savings and crypto-backed lending platform. This hands-on technical lead defines architecture, remains close to the code, and leads a small team of engineers.

Lead a team of DataOps and MLOps engineers building and evolving the ML platform and data operations for FDJ United’s Sportsbook product. You’ll work with AWS, Terraform, CloudFormation, Spark, Kafka, and CI/CD pipelines to enable end-to-end machine learning workflows from research to production.

Design, build, and operate a Kubernetes-based MLOps platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. The platform supports the full model lifecycle—experimentation, deployment, and scalable inference—for AI, ML, and LLM workloads in production.

You'll build and operate a Kubernetes-based AI/ML platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. This role focuses on creating infrastructure, tooling, and guardrails so MLOps and data science teams can reliably deploy and serve models at scale.

Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

Work with Java (including JDK migration), Kotlin, Python, Kubernetes, ArgoCD, OpenTelemetry, and modern CI/CD pipelines to develop and maintain distributed services for ingesting and processing financial market reference data. You will modernize critical production systems, including a large-scale Java/JDK upgrade programme and improvements to platform reliability and cloud-native infrastructure.

Work with Kubernetes, Docker, Java, Python, Go, JavaScript, Terraform, Ansible, CI/CD, and LLM/AI tooling. You’ll build and operate scalable services for UK government national-security data platforms, own production reliability, and deploy products into air-gapped estates via an in-house continuous-delivery engine.

FDJ UNITED★4.0 (96)· London

You'll lead a DataOps/MLOps team building an ML platform and data operations capability for FDJ United's Sportsbook, working with AWS, Terraform/CloudFormation, Spark, Kafka, and CI/CD pipelines for end-to-end ML lifecycle management. The role involves establishing best practices, monitoring, and governance while collaborating with Data Engineering, ML Engineering, Quants, and Data Science teams to personalize customer experiences and manage risk.

Azure ML, AKS, Dagster, CI/CD, Terraform, Prometheus, Grafana, Python, Kubernetes, and vector databases. You will own the infrastructure layer for deploying, monitoring, and maintaining ML models and NLP systems serving local authority clients in health and social care.

This postdoctoral role works with GitHub, GitLab, CI/CD, SBOMs, vulnerability databases, cloud services, AI, and ML evaluation ontologies. The TrustAttest project develops a continuous compliance monitoring and automated remediation platform for SME software vendors, mapping the UK SSCoP requirements to observable technical signals across development environments.

You will work with Unix/Linux, JavaScript, a ticketing system, and networking infrastructure tools. As a Support Engineer on the Global Support Engineering team, you will resolve technical issues with ExtraHop's network detection and response (NDR) product and assist customers with hardware, firmware, and third-party integrations.

AXA★3.9 (2.9k)· London

Design and implement secure architectures for enterprise security and AI/ML initiatives across AXA, using Docker, Kubernetes, cloud security, API security, micro-services, MLOps/MLSecOps platforms, threat modeling, and SSDLC. Defines technical security standards and reference architectures aligning with frameworks like NIST AI RMF and ISO/IEC 42001. Reports to the Chief Security Officer.

Vodafone★3.6 (3.2k)· London

Work with Elastic Stack, Python, Kubernetes, Terraform, Ansible, CI/CD, Git, and Linux on the Cyber Security/Prevent team, supporting security platforms and delivering hands-on automation engineering to improve reliability and resilience across Vodafone Group and local markets.

HSBC★4.0 (16k)· London

Work with Python, Docker, Kubernetes, Flask/FastAPI, PyTorch/TensorFlow, SQL Server/Postgres, and CI/CD pipelines to build and deploy production-grade ML and GenAI services. You will join the Growth AI programme within HSBC’s Corporate & Institutional Banking Data & Analytics, developing AI applications to identify business opportunities and mitigate client attrition.

NatWest Group★3.7 (1.2k)· London

You'll work with Mainframe hardware (DASD, SAN/FICON, IBM z), automation scripting (Python/Shell), infrastructure as code, GDPS, and CI/CD pipelines. As part of NatWest Digital X, you'll engineer hardware solutions for the Mainframe environment, applying automation to improve products. This technical lead role guides a team but no team size is specified.

The researcher will work with GitHub, GitLab, CI/CD pipelines, SBOMs, vulnerability databases, cloud services, ontologies, and machine-learning evaluation for AI-assisted compliance monitoring. The TrustAttest project, an Innovate UK initiative, builds a continuous compliance monitoring and automated remediation platform that maps the UK’s Software Security Code of Practice to observable technical signals for SME software vendors.

The role involves troubleshooting network infrastructure, hardware, firmware, and third-party integrations using a ticketing system and video/phone channels. Preferred technologies include Unix/Linux