Artificial Intelligence Jobs

Faculty · London

You will own and evolve the internal delivery platform that supports over 100 data scientists and ML engineers, building MLOps, data science and deployment tooling. Day to day involves infrastructure-as-code, DevSecOps, containerised microservices and integrating core services across AWS, Azure and GCP. The role sits in a small, fast-moving team focused on removing technical friction for customer-facing delivery teams.

Faculty · London

Lead end-to-end delivery of complex AI and data science projects for UK government national security clients, acting as a commercial and delivery lead who bridges technical AI research and operational mission needs. The role involves building trusted relationships with government partners, writing proposals and responding to RFPs to unlock new AI use cases, and mentoring multidisciplinary teams. Distinct for its focus on high-stakes national security and AI safety work, with eligibility for UK Developed Vetting and occasional on-site client work.

OpenAI · London

Join the Preparedness team to anticipate and mitigate loss-of-control risks from increasingly capable AI systems, potentially culminating in recursive self-improvement. The role spans scalable oversight, automated auditing, monitorability testing, model behaviour science, and coordination mechanisms, alternating between hypothesis-driven research and building interventions that affect production models.

ElevenLabs · United Kingdom

First dedicated analytics partner to Finance within a central Data team, owning revenue and ARR reconciliation, cohort and retention economics, and pricing experiments. Builds forecasting and scenario models used directly by FP&A for planning and board reporting, and partners with Analytics Engineering on the certified finance KPI layer. Requires reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.

Amazon · London

Labelling and evaluating text, speech, image and video data to improve Alexa's performance, acting as a subject matter expert for ML data workflows. The role involves quality checks, root cause analysis, and suggesting process improvements while maintaining strict confidentiality. The team works on-site Monday to Friday in eight-hour shifts.

Tenth Revolution Group · London · £95,000 – £125,000 pa

Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. Lead architectural engagements, tune workloads for performance and cost, and build CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps. Hybrid role in a consultancy, contributing reusable patterns to a wider architecture practice.

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.

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.

ElevenLabs · United Kingdom

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Builds tooling so researchers can explore and train on massive datasets quickly.

Morson Edge · West Yorkshire · £170,000 – £180,000 pa

A senior leadership role owning the data and AI strategy, roadmap and technical direction across the organisation. Day to day it spans hands-on work with generative AI, LLMs, RAG and agentic architectures, MLOps and data platform governance, plus building and leading a high-performing Data & AI team and partnering with Product, Engineering, Architecture and Security to scale prototypes into production.

Wayve · London

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes across Wayve's data corpus, drawing on the World Foundation Model to surface rare scenarios and performance gaps. Day to day spans defining annotation tasks and quality criteria, curating datasets, training and evaluating models in PyTorch, and integrating classifiers into enrichment infrastructure for corpus-wide inference.

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.

Amazon · London

Acts as a trusted technical advisor to AGI-DS scientists, translating complex research objectives into actionable ML/GenAI data collection requirements. Coordinates across teams to ensure delivery, owns customer scientist relationships, and monitors collection health metrics. Involves guiding on workflow feasibility, annotation scalability, and data collection best practices.

Opus Recruitment Solutions · United Kingdom · £80,000 – £90,000 pa

Designs enterprise-scale AI, data and automation solutions, architecting generative and agentic AI, RAG, vector database and multi-agent systems across OpenAI, Azure OpenAI, Anthropic and Google Gemini. Runs customer discovery and solution-design workshops, creates reference architectures and roadmaps, and supports technical pre-sales, governance and Responsible AI. Remote-first with client site visits.

Harnham - Data and Analytics Recruitment · London · £100,000 – £140,000 pa

Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a mature data function. The role involves translating business needs into scalable, production-deployed AI products and collaborating with a multidisciplinary team, with technical leadership duties at Lead level.