Artificial Intelligence Jobs

Senior Architect – GCP , GenAI & Agentic AI

Design and lead the architecture of enterprise-scale AI/ML and Generative AI systems on Google Cloud Platform. Focus on production-grade LLM, Agentic AI, and RAG solutions with strong governance, security, and scalability. Drive technical standards and MLOps practices across the AI lifecycle.

PRACYVA United Kingdom £55 – £600 pd

Staff ML Engineer | Agentic AI & Applied ML | London | |

Design and implement production-grade AI and ML systems, focusing on Agentic AI, RAG, and LangChain/LangGraph patterns. Establish engineering standards, improve observability and model risk controls, and drive adoption across engineering teams. Work within a regulated environment to enable safe, scalable AI solutions in production.

WeDoTech Bunhill, London, United Kingdom £800 – £1,000 pd
Hybrid Contract
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Technical Lead Manager, Synthetic Data

Lead a team developing synthetic data systems using generative world models to accelerate autonomous driving research. Focus on scaling high-fidelity simulation for training AI models, integrating synthetic data into production pipelines, and solving challenges like rig and pose transfer. Work at the intersection of ML engineering, 3D geometry, and large-scale inference to enable training for vehicles and geographies with limited real-world data.

Wayve London, United Kingdom

Senior Architect – GCP , GenAI & Agentic Systems

Design and lead enterprise-scale AI/ML and Generative AI solutions on Google Cloud Platform, with a focus on LLMs, Agentic AI, RAG architectures, and MLOps. Define technical strategy, establish architecture standards, and ensure secure, scalable, production-ready systems. Work across cloud-native platforms to deliver measurable business outcomes using Vertex AI, GKE, and automated ML pipelines.

PRACYVA United Kingdom £500 – £550 pd

Data Science & AI Delivery Lead

The role involves leading the technical delivery of AI and machine learning solutions, ensuring robust architecture, MLOps practices, and production readiness across projects. You'll guide a team of data scientists and AI engineers, contribute hands-on to Python-based development, and drive innovation in generative AI using Azure services. The position emphasizes engineering excellence, collaboration with data engineering and business technology teams, and staying ahead of emerging AI technologies.

Everson Recruitment London, United Kingdom £130,000 pa

Full Stack Developer

Develop and maintain full-stack software solutions for an AI-driven insurtech product transforming insurance claims handling. Work across C#, JavaScript/TypeScript, and cloud platforms, collaborating with stakeholders to deliver innovative features. Contribute to architecture, code quality, and AI integration in a flexible, hybrid environment.

Horwich Farrelly Manchester, United Kingdom

AI Engineer

Design and build enterprise-grade AI applications using .NET, Azure, and Microsoft AI technologies. Develop production-ready software with agentic AI, RAG, and vector search capabilities integrated into core business systems. Work across the full development lifecycle in a dedicated AI engineering team.

Amtis Professional Blacon, Cheshire, CH1 5HN, United Kingdom £50,000 – £60,000 pa
Hybrid Permanent

Data Scientist

Design and implement data models and LLM-powered features as part of AI-driven product development, working across the full project lifecycle from exploration to deployment. Collaborate with data engineering and business stakeholders to deliver scalable, production-grade solutions. Emphasis on clean, maintainable code and cross-functional delivery in a fast-growing environment.

Infused Solutions London, United Kingdom £46,000 – £56,000 pa

Senior AI Engineer (Gen AI & RAG)

Design and implement production-grade generative AI systems with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. Develop scalable, reliable AI pipelines using domain-specific data and contribute to evaluation frameworks that ensure correctness and business alignment. Collaborate closely with platform and product teams to bring AI capabilities from experimentation to deployment.

The Portfolio Group Manchester, United Kingdom £80,000 – £100,000 pa

Senior Machine Learning Engineer

Design, train, and optimise machine learning models using TensorFlow and TFX, building scalable production pipelines and deploying models into live environments. Monitor performance, improve systems iteratively, and collaborate with engineering and product teams to deliver business-impacting ML solutions. Work with large-scale datasets and focus on end-to-end MLOps practices in a hybrid setup.

Maxwell Bond Marylebone High Street, London, United Kingdom £58,000 – £60,000 pa

Machine Learning Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. The engineer will lead technical architecture decisions, operationalise models using frameworks like TensorFlow and PyTorch, and develop scalable ML infrastructure. Collaboration with cross-functional teams and direct client engagement are key, with a focus on translating complex AI concepts into real-world solutions.

Faculty London, United Kingdom
Hybrid Permanent

Data Engineering Lead - AI & Data Automation

Lead and scale a global data, AI, and automation function by designing and delivering trusted data foundations, centralised platforms, and scalable AI solutions. You will manage a distributed engineering team, drive technical strategy across cloud and on-premise systems, and mentor staff while shaping data governance, security, and integration standards. The role involves close collaboration with business stakeholders to translate strategic goals into technical roadmaps using modern AI frameworks and cloud data platforms.

Michael Page Birmingham, West Midlands (county), United Kingdom
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Staff Robotics Engineer

Develop and optimise robust, production-grade online calibration and state estimation software for autonomous vehicles, integrating advanced filtering and optimisation algorithms into resource-constrained, hardware-accelerated platforms. Work across the full software lifecycle, from algorithm adaptation and simulation testing to on-vehicle deployment and fleet-wide observability, collaborating with cross-functional teams to ensure reliability, performance, and safety.

Wayve United Kingdom
Multiverse logo

Staff AI Engineer , Edinburgh

This role involves designing and building a production-grade internal agentic operating system to transform how Multiverse functions as an AI-first organisation. You'll architect multi-agent coordination, evaluation frameworks, cost-efficient systems, and integrations across existing platforms, while setting technical standards and mentoring engineers. The work directly shapes both internal transformation and the broader blueprint for AI adoption in workforce development.

Multiverse Edinburgh, Alba / Scotland, United Kingdom
Hybrid Permanent Clearance Required

MLOps Engineering Manager

Lead and mentor a team of MLOps engineers while driving the architectural and technical delivery of machine learning systems, including a migration from MLflow to AWS SageMaker. Collaborate with data scientists and cross-functional teams to build scalable solutions for predictive maintenance, fault detection, and component lifecycle optimisation. Balance hands-on technical work with people leadership in a hybrid environment with regular office presence.

Uniting Ambition Ruislip Manor, London, United Kingdom £100,000 – £120,000 pa