Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

NVIDIA · United Kingdom

Engages directly with customers and partners to architect and validate large-scale GPU-accelerated HPC/AI clusters, spanning hardware handover through Day 2 production stability. Works tool-agnostically across upstream Kubernetes, KubeVirt, Slurm, Prometheus/Grafana and Cumulus/SONiC, owning burn-in testing, fleet reliability and enablement runbooks.

NVIDIA · Germany

Engages directly with customers and partners to architect and validate large-scale GPU/HPC clusters, owning full-solution validation and Day 2 production stability at fleet scale. Works tool-agnostically across upstream Kubernetes, KubeVirt, Slurm, Prometheus/Grafana and Cumulus/SONiC, acting as hands-on technical leader and trusted advisor for assigned accounts.

eFinancialCareers · London

Architects, deploys and supports machine learning and GenAI infrastructure on AWS, building CI/CD pipelines and turning data science models into production systems. Works within an AI Enablement team using Terraform, Jenkins, Kubernetes and SageMaker, with a focus on auditability, versioning and data security while liaising with clients on requirements.

CrowdStrike · London

Builds and operates an end-to-end validation pipeline for CrowdStrike's Cloud Detections Platform, verifying component, system and application-level features across processing, data and customer-facing layers. Manages CI/CD with Jenkins or GitHub Actions, improves automated test coverage, and diagnoses root causes of production outages in large-scale distributed systems.

Amazon · London

Customer-facing cloud architect role in AWS's UK Solutions Architecture team, focused on the Travel and Hospitality industry. You lead architecture reviews, whiteboarding sessions, demos and technical workshops, manage the technical relationship with customers, and create reference architectures and best practices across AI/ML, serverless, containers, analytics and security.

Ocado · Sofia, Bulgaria

Maintains and improves a live customer-facing slot-availability application while writing Terraform/OpenTofu infrastructure as code for cloud environments. Extends backend services, APIs and data pipelines, and modernises the platform by tuning Airflow/Composer and reducing technical debt. Works in a small distributed team with monitoring, alerting and incident response duties.

Thought Machine · Lisbon, Portugal

Owns complex, ambiguous technical challenges end-to-end, shaping long-term platform architecture and company-wide engineering standards. Drives adoption of AI tooling, leads technical interviews, and mentors senior engineers while acting as a link between leadership and engineering teams. Based in the Lisbon office, requiring three days a week onsite.

Thought Machine · London

Guardian of mission-critical production infrastructure powering core banking and payments platforms for major financial institutions. Involves automating fleet management, designing disaster recovery and capacity planning, participating in a global on-call rotation, and mentoring engineers while working with senior stakeholders and SaaS customers.

eFinancialCareers · London · £110,000 – £140,000 pa

You will join a small AI labs team as one of two senior engineers, building Agentic AI solutions for internal investment, sales and marketing departments, taking projects from inception to production in roughly three-month cycles. Work centres on Python, AWS, LangChain and LangGraph, with client demos and potential partnerships, before handing solutions to departmental tech teams.

Anthropic · London · £150,000 – £190,000 pa

Pre-sales architect role building technical relationships with Global and Regional System Integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable partners' AI practices. Involves joint solution development, reference architectures, unblocking strategic customer deals, and representing the company at partner events and hackathons.

Anthropic · London · £325,000 – £485,000 pa

Owns the full lifecycle of accelerator capacity, from ingesting and provisioning compute across major clouds and custom datacenters to scaling clusters and building health, diagnostics and repair automation for GPU, TPU and Trainium nodes. Sets technical strategy for node lifecycle management and drives cross-team initiatives to keep one of the industry's largest AI compute fleets reliable and usable.

Hunter Selection · Bristol · £85,000 – £100,000 pa

Lead the implementation of AI solutions within a professional services business, taking direct responsibility for end-to-end delivery of AI products. The role blends hands-on engineering (C#, Python, Azure, DevOps/CI-CD) with enterprise agent design, RAG and LLM work, while acting as an internal AI advocate and engaging stakeholders at all levels.

Ocado · Hatfield

Lead the team maintaining, developing and controlling Ocado's Oracle EPM Cloud platform, owning the service end to end, its roadmap and a well-governed change process. The role covers environment management, Oracle cloud update testing, disaster recovery, IT general controls and audit readiness, with hands-on solution design and growing use of data, automation and AI tooling.

Reperio Human Capital · Dublin, Ireland · £388 – £474 pd

Hands-on engineering role owning AI/ML initiatives end-to-end, from solution design and experimentation through deployment, monitoring and optimisation. Involves building production ML and GenAI solutions including RAG architectures, working with Snowflake and cloud data platforms, and developing Python and R software with strong MLOps, CI/CD and DevSecOps practices. Collaborates with data, product and business teams to turn ambiguous problems into scalable, secure solutions.

Darktrace · Cambridge

Acts as the go-to authority in a chosen reliability specialism—observability, performance engineering, data infrastructure, security-focused SRE or network reliability—defining standards and best practices across SRE, Platform Engineering and DevSecOps. Builds tooling and automation, leads deep-dive investigations into systemic issues, and contributes to incident response and on-call rotations in a cloud-native, Kubernetes-based environment.