Latest UK roles, updated daily.
This role involves hands-on technical work in incident handling, malware analysis, and remediation across various platforms. The Sr. Analyst will develop and improve detection processes, produce high-quality reports, and provide consulting support to clients using CrowdStrike's Falcon platform.
This role involves hands-on technical work in incident detection, analysis, and response using CrowdStrike's Falcon platform. You will develop and improve processes, produce high-quality reports, and provide consulting support to clients, contributing to the company's mission of stopping breaches.
This role involves designing and building scalable development and production platforms that power OpenAI's core products like ChatGPT and the API. The engineer will work on Kubernetes clusters, cloud abstractions, networking, and infrastructure deployment systems, ensuring reliability, security, and scalability. The position includes on-call responsibilities and emphasizes a culture of inclusion, safety, and technical excellence in a fast-paced environment.
This role involves securing AI-first drug discovery platforms by designing risk frameworks, protecting ML model artifacts, and implementing security controls across distributed training and inference systems. The engineer will lead AI-specific incident response, develop guardrails for LLMs and autonomous agents, and ensure compliance with global regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into the full AI lifecycle while advancing AI safety standards.
This role involves building and optimizing the compute platform that powers OpenAI's AI research and products. Responsibilities include designing and operating infrastructure for large-scale compute systems, profiling and optimizing training workloads, and creating tools that improve the developer experience and system reliability.
Lead the development and execution of nonclinical safety strategies for small molecule and biologic drug candidates in an AI-driven drug discovery environment. Pioneer the integration of artificial intelligence into toxicology assessment, build a scalable safety function, and collaborate across interdisciplinary teams to de-risk clinical translation. Represent the company in regulatory interactions with health authorities and help validate AI-generated safety models for regulatory acceptance.
Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.
This role involves working closely with sales teams to provide technical expertise during the pre-sales process, focusing on Databricks' Data Intelligence Platform. The engineer will engage with clients through hands-on demonstrations, Spark programming, and solution design, helping them solve complex data and AI challenges. Responsibilities include building reference architectures, delivering technical presentations, and participating in customer workshops across industries like financial services, retail, and media.
This role involves working closely with ElevenLabs' most strategic customers to design and implement high-impact technical solutions. Responsibilities include full ownership of major projects, collaborating with customer teams, and driving innovation through coding and problem-solving.
This role involves leading the delivery of AI safety evaluations and red teaming projects, working closely with government and public sector clients. Responsibilities include translating cutting-edge AI safety research into actionable solutions, developing proposals, and mentoring team members in a high-impact, strategic environment.
This role involves owning the full post-training lifecycle for biological foundation models, from alignment to production deployment. Responsibilities include designing and implementing pipelines, building validation frameworks, and collaborating with ML and biology teams to ensure models are scientifically meaningful and aligned with real-world drug discovery problems.
This role involves building and managing datasets and evaluation systems for AI safety, translating safety policies into actionable data criteria, and creating scalable processes for data collection, labelling, and model assessment. The Data Scientist will work across policy, research, and engineering to ensure models are evaluated using real-world data and robust quality standards. A strong focus is placed on developing reproducible pipelines and operationalising safety frameworks in a fast-moving AI environment.
A Principal Data Scientist will lead high-impact machine learning initiatives within the Defence sector, driving technical strategy and client delivery. The role involves scoping complex AI solutions, writing production-grade code, mentoring junior scientists, and supporting technical sales. Work includes on-site collaboration with government clients and shaping ethical, cutting-edge AI applications in high-stakes environments.
This role involves developing technical frameworks for agentic incident response, controls, and forensics in advanced AI systems. You'll work on scalable approaches to monitor, detect, and respond to risks from next-generation AI agents, leveraging pre-release access to frontier models and compute resources. The position offers high autonomy, collaboration with global AI experts, and direct influence on AI governance and security policy.
This role involves leading the design and implementation of complex, cloud-native systems within a high-growth fintech environment. The engineer will drive technical direction, mentor senior teams, and solve ambiguous, large-scale problems across distributed services. Emphasis is placed on operational excellence, cross-team collaboration, and advancing Thought Machine's core banking platform through innovation in architecture and developer practices.
