Artificial Intelligence Jobs

Harnham - Data and Analytics Recruitment · London · £55,000 – £65,000 pa

Mid-level data scientist role focused on fraud detection and mitigation, working across the full data science lifecycle. Responsibilities include processing large datasets, building and maintaining fraud detection, identity resolution and predictive machine learning models, evaluating new data sources, and monitoring model performance. Requires Python, SQL and production deployment experience, collaborating with data, technology, risk and product teams.

eFinancialCareers · Belfast

Hands-on player-manager role leading a growing Data & Analytics function, combining Power BI development, SQL analysis and AI exploration with stakeholder management and delivery leadership. You will build dashboards and semantic models, manage the Power BI environment and backlog, prototype HTML-based analytical applications, and apply generative AI and Copilot to improve reporting while coaching analysts and engineers.

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

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and tooling. The intern documents findings, builds automation for malware analysis, creates host- and network-based detection signatures, and produces threat intelligence reporting for varied audiences.

PhysicsX · New York, United States · US$150,000 – US$190,000 pa

Delivery-focused role embedding physics-aware AI models into customer tools, working on-site with clients across aerospace, automotive and energy. Involves building reliable ML data pipelines, manipulating 3D point-cloud and mesh data, and translating R&D outputs into reusable libraries and products. Expects travel of 3-4 weeks per quarter to customer sites worldwide.

CrowdStrike · Germany

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and developing automation tools for threat tracking. Involves creating host- and network-based signatures for large-scale hunting and producing finished threat intelligence reporting for customers.

Entrust · Lisbon, Portugal

Builds and operates production ML systems for document classification and extraction, using VLM/LLMs and traditional ML to power identity verification for millions of users. Leads technical design from RFC to deployment, optimises GPU inference, and designs training, evaluation and labelling pipelines. Works in a squad-based team alongside Applied Science, Product and Data Science, mentoring engineers and driving reliability and scalability.

Isomorphic Labs · Lausanne, Switzerland

Architect and secure an AI-first drug discovery platform, reporting to the CISO. You will build AI-specific risk frameworks, protect model artifacts, deploy LLM and agentic guardrails, and lead AI security incident response across distributed training and inference infrastructure.

OpenAI · London

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, identity, security and governance while coordinating deployment, enablement and partner specialists.

Wayve · London

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

Barclays · London

Owns the optimisation and strategy of transaction monitoring controls across Barclays UK and International, tuning surveillance systems and developing detection solutions. Involves data exploration, SQL/Scala/Spark/Python coding, and engaging technical and non-technical stakeholders on financial crime risk. Based in Canary Wharf or Glasgow.

OpenAI · London

Senior technical owner for a named portfolio of enterprise customers, acting as the "CTO of your book of business" from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, security and evaluation while coordinating deployment, enablement and partner specialists.

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.

Darktrace · Cambridge

Works within Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, providing expert technical direction and mentoring engineers across languages such as Python, JavaScript, Rust and C++. Involves advancing methodology for defending against unknown cyber-attacks, shaping technical strategy, and engaging with executive leadership. Hybrid role with two days a week in the Cambridge office.

Darktrace · London

Works within the Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, advancing methodology for defending against unknown cyber-attacks. Provides expert technical direction, mentors engineers across languages like Python, JavaScript, Rust and C++, and engages executive leadership on technical strategy. Requires Docker, cloud, CI/CD and Git proficiency with a strong interest in cyber-security and malware forensics.