Latest Generative AI Engineer Jobs

AI Engineer - Bruin

Design and build generative AI applications using Python, React, and AWS, with a focus on LLMs, RAG pipelines, and AI agents. Integrate AI capabilities into existing systems and collaborate with technical and business teams to deliver production-grade solutions in a financial services environment.

eFinancialCareers London, United Kingdom

Principal AI Engineer

This role involves designing and building intelligent AI systems that solve complex user problems at scale, with a focus on end-to-end development of AI-powered products from concept to production. The engineer will drive innovation by applying modern generative AI technologies and large language models to real-world customer challenges, while shaping technical strategy and product direction. The position emphasizes experimentation, product thinking, and establishing best practices for AI development within a high-growth AI and data business.

eFinancialCareers London, United Kingdom

Permanent

Senior / Lead Fullstack (React) AI Engineer

Design and develop scalable React applications integrated with generative AI and agentic systems, working across frontend and backend with TypeScript, Node.js, and cloud platforms. Collaborate with AI engineers to deliver production-ready features leveraging LLMs, while mentoring team members and driving technical best practices in an Agile environment.

Infused Solutions London, United Kingdom £115,000 – £150,000 pa

AI Test Engineer (SC Cleared)

This role involves leading end-to-end testing strategies for AI and data-driven systems in a regulated enterprise environment, with a focus on validating AI models, including Generative AI and RAG solutions. The engineer will embed test automation within CI/CD pipelines, work across cloud-based services and APIs, and mentor teams in modern testing practices such as TDD and BDD. The position requires hands-on technical work alongside strategic oversight of quality assurance across digital platforms.

Adecco London, City And County Of the City Of London, United Kingdom £600 – £650 pd

Senior Security Engineer (AI Safety), London, Lausanne

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.

Isomorphic Labs United Kingdom

Hybrid Permanent

Manager, AI Deployment Engineering - Large Enterprise

Lead and mentor a team of AI Deployment Engineers focused on delivering Generative AI solutions for strategic large enterprise customers across EMEA. Drive technical implementations from onboarding to production, acting as a trusted advisor and escalation point while shaping product roadmaps based on customer needs. Focus on safe, impactful deployment of cutting-edge AI models in areas like customer service and automated content generation.

OpenAI London, United Kingdom

Hybrid Permanent

AI Platform Architect

Design and lead the architecture of enterprise-scale AI platforms for a major financial services client, focusing on scalable, secure, and governed cloud-native solutions. Drive end-to-end AI/ML system design, from data ingestion to model deployment and monitoring, with strong emphasis on MLOps, LLMOps, and compliance in regulated environments. Collaborate across engineering, data, and business teams to deliver production-ready AI capabilities on Google Cloud Platform.

83zero London, United Kingdom £90,000 – £100,000 pa

Hybrid Permanent

AI Security Software Engineer (GenAI & LLM Security)

This role involves designing and building secure platforms to protect enterprise Generative AI and Large Language Model (LLM) applications from emerging threats such as prompt injection and adversarial inputs. The engineer will develop automated security testing frameworks, create robust APIs, and contribute to cloud-native, distributed systems operating at scale. Collaboration with global engineering, cybersecurity, and operations teams is central, with an emphasis on shaping secure AI adoption through resilient software design and best practices in AI security and DevSecOps.

83zero London, City And County Of the City Of London, United Kingdom £85,000 – £90,000 pa

Hybrid Permanent

Senior Research Engineer - Video Foundation Models (Pre - Training)

This role involves developing and scaling latent video diffusion models for human-centric video generation, with a focus on improving control, fidelity, and efficiency. The engineer will work on distributed training strategies, evaluation frameworks, and inference optimization to deliver production-grade foundation models. The position bridges applied research and engineering, emphasizing real-world product impact through rapid experimentation and deployment.

Synthesia London, United Kingdom

Remote Permanent

Senior Research Engineer - Data

This role focuses on building and enhancing large-scale data pipelines for generative AI models, working with vast amounts of video and audio data to improve model performance through data quality, curation, and feature extraction. The position bridges applied research, data engineering, and ML infrastructure, collaborating closely with model training teams to deliver high-impact datasets. It emphasizes ownership in shaping data strategy and infrastructure within a fast-moving AI research environment.

Synthesia London, United Kingdom

Remote Permanent

Pre-sales Senior Technical Solutions Engineer (Data and AI)

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.

Databricks London, United Kingdom

Hybrid Permanent

Software Engineer, Platform

This role involves developing and scaling a generative AI platform, with ownership of end-to-end feature development across backend, frontend, and AI components. The engineer will work closely with ML models and LLMs, build reliable distributed systems, and integrate with vector databases and AI infrastructure. Collaboration with product, ML, and infrastructure teams is key, in a fast-paced environment focused on delivering enterprise-grade AI solutions.

Scale AI London, United Kingdom

On-site Permanent

Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

This role involves owning and developing large new areas of Scale AI's enterprise Generative AI platform, working across backend, frontend, and ML systems. The engineer will solve complex scalability and reliability challenges while rapidly delivering high-quality experiments. Close collaboration with customers and engagement across the full product lifecycle—from concept to production—is expected.

Scale AI London, United Kingdom

Hybrid Permanent

Senior Software Engineer

This role involves developing a scalable neurosymbolic AI platform, focusing on core systems like document ingestion, symbolic reasoning engines, and public API infrastructure. The engineer will solve novel problems at the intersection of LLMs and classical AI, such as encoding regulatory rules and improving system accuracy through feedback loops. Work spans backend development, cloud deployment, and cross-functional collaboration in a high-growth startup environment.

Unlikely AI London, United Kingdom

Hybrid Permanent

Staff Software Engineer

This role involves designing and building a scalable neurosymbolic AI platform that combines LLMs with symbolic reasoning for enterprise applications in compliance and financial services. You'll work on core systems including document ingestion, knowledge representation, and public API architecture, within a cross-functional monorepo environment. The role emphasizes technical leadership, production-quality engineering, and solving novel problems at the intersection of classical AI and modern generative models.

Unlikely AI London, United Kingdom

Hybrid Permanent