Artificial Intelligence Jobs

CrowdStrike · USA, NY · US$140,000 – US$215,000 pa

Lead a growing team of engineers building self-service infrastructure-as-code primitives, high-availability core services and multi-cloud platforms at massive scale. The role blends people management with hands-on architecture, cloud cost optimisation and SRE practices across AWS and GCP, with hybrid working expected near office locations.

CrowdStrike · Canada - Remote ON · CA$150,000 – CA$200,000 pa

Lead a growing team of engineers building self-service infrastructure-as-code primitives, architecting large-scale core services, and driving cloud cost optimization across a multi-cloud environment. The role blends people management with hands-on technical direction, including design reviews, on-call management, and influencing engineering strategy beyond the immediate team.

Scale AI · United Kingdom

Medical experts design complex clinical scenarios, evaluate generative AI model decision-making for safety and accuracy, and shape reasoning frameworks through structured feedback. Fellows collaborate with AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks, within an interdisciplinary network. Work is project-based and flexible, with hours set by the fellow.

Scale AI · United Kingdom

Fellows design complex, domain-specific problems and datasets to rigorously evaluate generative AI models, then provide expert interpretation to improve their accuracy and reasoning. They collaborate with partner AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks. Work is project-based within an interdisciplinary network of academics, with flexible 10–40 hour weeks.

Relation Therapeutics · London

Process and QC paired single-cell RNA-seq and scATAC-seq at scale, building Nextflow pipelines for custom combinatorial indexing chemistries and integrating multimodal datasets for GPU-accelerated model training. Partner with wet lab scientists and ML modellers to design evaluation frameworks that test whether models capture meaningful biology.

Helical · London

Lead scientific evaluation and applied use of foundation models in drug discovery and translational research. Act as a senior individual contributor and scientific partner, mentoring junior colleagues while working with Product and Business Development to turn biology and ML into customer-facing deliverables as the team scales.

Version 1 · Newcastle upon Tyne

Leads an established AI Centre of Excellence with budget authority, scaling agentic AI from pilots into core delivery and internal systems. Roughly 80% internal transformation, driving change through influence across functions, plus shaping people strategy and representing the company externally on conference stages.

eFinancialCareers · Belfast

Operational role on Citi's Offensive Security and Vulnerability Management team, running penetration tests, vulnerability assessments and Red Team adversarial evaluations across the application portfolio. The AI dimension is twofold: testing GenAI applications and agentic systems for prompt injection, retrieval poisoning and tool misuse, while using AI-assisted tooling to speed up reconnaissance and validation. Involves building triage pipelines and containment architectures for AI agents at enterprise scale.

University of Oxford · Oxford · £21,805 pa

Investigates how the rapid growth of AI can be supported by more sustainable, circular hardware and infrastructure, linking computational performance to the physical materials and equipment required. Develops scenarios for UK AI and data centre growth, mapping hardware requirements to critical raw materials and modelling how lifetime extension, reuse, repair and remanufacture could cut environmental impacts. Based in the Circular Economy and Sustainability Lab, contributing to the Circular Electricals and Electronics Project.

Helsing · Berlin, Germany

Builds and benchmarks computer vision systems for scene matching, geo-registration, SLAM, visual odometry and 3D reconstruction, adapting state-of-the-art geometric deep learning to real-world conditions and constrained hardware. Works within a scene understanding and localisation team, collaborating across research, engineering and product to integrate outputs into navigation and decision-making pipelines.

Helsing · Barcelona, Spain

PhD research internship tackling open problems in spatial perception and localisation within the Spatial Intelligence Team. You survey and prototype state-of-the-art methods for scene matching, SLAM/VIO and 3D reconstruction, benchmarking ideas against real-world data and compute constraints, and report findings to a Europe-distributed team.

NVIDIA · Cambridge

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components for end-to-end inference. Involves mapping large-scale neural network workloads onto future hardware, working with LLVM/MLIR, and collaborating with hardware architects on codesign. Hybrid role based in Cambridge.

NVIDIA · United Kingdom

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale inference workloads onto future hardware. Works at the intersection of compilers, systems and deep learning, using LLVM/MLIR and frameworks like PyTorch and TensorFlow, and collaborates with hardware architects on codesign.

University of Southampton · Southampton · £37,369 – £45,641 pa

A part-time research post developing and commercialising AI-enabled healthcare tools, combining hands-on software engineering and system architecture with product development and evaluation. The role involves building, testing and deploying software with large language model and agentic AI capabilities, connecting diverse datasets, research algorithms and external services, while supporting commercial partnerships, customer discovery, business models and pilot delivery.

Isomorphic Labs · London

Lead computational chemistry strategy across drug discovery programs, applying AI-first approaches to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models into cheminformatics workflows, with some roles managing 2-3 computational chemists.