310 jobs for “ai analyst”
Scale AI London
Lead and grow Scale AI's enterprise product design team, setting the direction for design across applications used by enterprise and government customers making high-stakes decisions. Own hiring, craft standards, and design execution from problem scoping to delivery, while shaping interaction patterns for human-in-the-loop and agentic AI systems.
Isomorphic Labs London
Lead pharmacology and translational biology strategy for large-molecule biologics, designing in vivo efficacy and complex in vitro functional assays and acting as Biology Lead on discovery projects. Coordinate internal workflows and external CROs to drive go/no-go decisions, while feeding pharmacology data back into generative AI design loops with ML and computational biology teams.
Isomorphic Labs London
Translates Isomorphic Labs' security strategy into engineering delivery, steering a multi-quarter InfoSec roadmap spanning Cloud Security, Platform IAM and Secure SDLC. Partners directly with engineering and ML teams to unblock architectural issues, secure drug discovery pipelines and build data-driven dashboards giving the CISO visibility into program health and risk metrics. Reports to the CISO with a functional tie to the TPM Discipline Lead.
Synthesia New York, United States US$300,000 – US$340,000 pa
Owns a named-account book of 20k+ employee enterprises, running the full sales cycle from account-based prospecting to closing and expanding multi-threaded deals. Partners with Customer Success on adoption, renewals and expansion, using a value-driven methodology such as MEDDPICC to sell AI video software.
Synthesia London
This role focuses on translating Synthesia’s brand into global experiential formats, including trade shows, conferences, customer events, and digital experiences. The designer will lead end-to-end creation of spatial environments, signage, print, merchandise, and digital content, ensuring cohesive brand expression across physical and virtual touchpoints. Emphasis is placed on production quality, cross-functional collaboration, and scalable systems for global execution.
Multiverse London
Leads the Diagnose & Prescribe engineering team, owning delivery, technical direction and team health across AI-heavy services for learner diagnosis, eligibility and recommendations. Stays hands-on with distributed designs, RabbitMQ event schemas, API contracts and production code while carving logic out of a legacy monolith into dedicated services.
PhysicsX New York, United States US$200,000 – US$250,000 pa
Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Leads scoping and architecture design, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter to embed AI models on-site.
PhysicsX London
Builds and validates high-fidelity multiphase CFD and coupled CFD-DEM models, covering geometry clean-up, meshing, simulation, post-processing and experimental validation for granular and particle-laden systems. Automates parametric CAD and simulation pipelines for design optimisation and DoE, generating datasets for ML surrogate models on cloud and HPC resources, while working on-site with customers and mentoring junior colleagues.
Faculty London
Builds and scales client-facing web applications that translate complex machine learning insights into intuitive interfaces for government and public sector clients. Works across the product lifecycle with data scientists and designers, architecting reusable design systems and maintaining CI/CD and cloud deployment workflows while mentoring other engineers.
Luminance London
Works across Sales, Product and Customer Success to help enterprise customers integrate Luminance's AI platform, building hands-on integrations with systems such as Salesforce, ServiceNow and Slack. Acts as the technical expert supporting Account Executives, managing integration issues and creating reusable toolkits, APIs, SDKs and customer-facing documentation.
Luminance Cambridge
Lead complex engineering projects across the full SDLC, mentor other application engineers, and collaborate with cross-functional teams to define technical requirements and system architecture. The role also involves driving best practices in coding, testing and maintenance, and becoming a subject matter expert in one or more areas of the technology stack.
Faculty London
Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while delivering bespoke algorithms and production-grade systems.
VIQU IT London £75,000 – £80,000 pa
Designs and deploys AI/ML models for forecasting, propensity, churn and customer segmentation, owning end-to-end workflows from feature creation to ML Ops deployment and monitoring. Works hands-on across multiple products, architecting bespoke datasets and coaching junior data scientists in a cloud-native, AI-first SaaS team.
Anthropic London £255,000 – £325,000 pa
Product engineer building internal tools and platforms, working across backend, frontend and infrastructure with Python, TypeScript and React. The role sits at the intersection of engineering, product and design, requiring direct user consultation, spotting patterns across requests and turning them into reusable primitives and abstractions rather than one-off features.
Anthropic London £325,000 – £485,000 pa
This role involves owning and scaling Kubernetes control plane components to support Anthropic's large-scale AI training infrastructure. You'll extend the scheduler for topology-aware and gang scheduling of ML workloads, operate core cluster services like service discovery, and ensure high availability across multi-cloud accelerator fleets. The work is deeply technical, focusing on reliability and performance at extreme scale in collaboration with research and inference teams.
