Artificial Intelligence Jobs

CrowdStrike · Aarhus, Denmark

Owns major components of the Windows kernel-mode endpoint sensor, architecting and building anti-virus and EDR features that cut across file system, memory, process and networking subsystems. Works on cross-platform deliverables with shared components across Windows, Mac and Linux, leading projects from design through delivery and demo.

CrowdStrike · London

Builds and owns major components of the Falcon endpoint sensor, a Windows kernel-mode driver that observes system activity, detects malicious behaviour and provides on-box prevention plus telemetry to the cloud. Work spans OS internals such as file system, memory, process and networking, with cross-platform components shared across Windows, Mac and Linux.

NVIDIA · Reading

Technical account manager role focused on a small set of strategic software companies, driving integration of NVIDIA's AI platform, open models, SDKs and NIMs into partner products. Involves hands-on work with agentic AI systems and GPU-accelerated computing, plus developer advocacy, ecosystem mapping and representing NVIDIA at industry events.

NVIDIA · United Kingdom

You will own a small portfolio of strategic software companies, acting as their trusted technical advisor to integrate NVIDIA's AI platform, open models, SDKs and NIMs into their products. The role blends hands-on agentic AI and GPU-computing depth with developer advocacy, ecosystem mapping and commercial storytelling to engineering and C-suite audiences.

Faculty · London

Scoping, building and delivering bespoke AI solutions for pharmaceutical and life sciences clients, managing individual work streams and translating operational requirements into user stories for engineering teams. Involves open-source analysis, workflow design and close collaboration with data science and ML experts, with a focus on high-stakes, user-centric decision-making.

Aioi Nissay Dowa Europe · Oxford · £81,322 – £112,488 pa

This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.

Darktrace · Cambridge

Conducts independent and collaborative research across large language models, statistical methods and classical machine learning, prototyping ideas and implementing models into the wider software stack. Produces optimised solutions for latency and memory, including deployment on edge devices, working closely with software engineers and security analysts.

Scale AI · United Kingdom

Fellows design domain-specific problems and datasets to evaluate generative AI models, then provide expert insight to improve their accuracy and reasoning. Work is project-based with partnered AI labs, including co-authoring technical reports and research papers with Scale's research team. Fully remote, flexible 10-40 hour weeks within an interdisciplinary network.

IQVIA · Reading

Supports a global pharmaceutical client by applying statistical methods to biological, biomedical and omics datasets, building reproducible analytical workflows in R and/or Python. The role sits at the intersection of statistics, data science and AI, developing AI-enabled tools, agents and automation that speed up discovery and translational research decisions alongside scientists and engineers.

Amtis Professional · Birmingham · £80,000 – £90,000 pa

Architect end-to-end enterprise AI solutions spanning data, knowledge and process layers, covering internal processes, reporting, frontline operations and customer experience. Design and validate proof-of-concept solutions, define target architectures and reusable patterns, and lead MLOps and model deployment pipelines for LLMs, agentic and generative AI. Work hybrid in the West Midlands across IT, data, security and business teams to move PoCs toward production.

Randstad Technologies Recruitment · London · £432 – £484 pd

Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role blends Python/Java engineering, AWS and Azure cloud pipelines with Airflow orchestration, plus roughly 20-25% frontend work on guardrail interfaces, alongside production support and ML evaluation metrics.

Copello · Bristol · £80,000 – £900,000 pa

Take technical ownership of FPGA and programmable logic design for advanced gimbal payload systems, covering video capture and processing, sensor and high-speed serial interfaces, and real-time pointing and stabilisation control. Work spans RTL design, simulation, synthesis, timing closure and hardware bring-up, taking in-house boards from prototype to qualified production while mentoring other engineers.

Emponics · Bristol · £80,000 – £130,000 pa

This role involves owning the data infrastructure for AI deployments, integrating AI solutions into business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production, manage data models, and troubleshoot integration issues.

eFinancialCareers · London

Build AI tools, LLMs and intelligent automation while developing data infrastructure and analytical solutions in Python and SQL. Create dashboards and portfolio analytics to support investment decisions, working directly with the CIO, CFO and senior leadership in a privately owned investment family office. The role offers autonomy to take technology initiatives from concept through to delivery.

PhysicsX · London

Builds the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develops solvers and numerical methods in differentiable or GPU-native frameworks such as JAX or NVIDIA Warp, using commercial and open-source CFD tools for reference data. Works in a research team alongside ML researchers, shaping data generation strategy and fidelity tradeoffs.