Latest data Jobs

Ecommerce AI Engineer

This role involves building and optimizing ecommerce platforms, AI-driven customer communication agents, and automated workflows to enhance customer experience and business performance. You'll develop WordPress sites, integrate payment and booking systems, and implement AI solutions using OpenAI APIs, RAG, and vector search. The role emphasizes translating commercial needs into technical solutions, with a focus on measurable outcomes like conversion rates, lead generation, and operational efficiency.

Salt London, United Kingdom £250 – £275 pd

Hybrid Contract

Forward Deployed Engineer

The Forward Deployed Engineer role involves embedding with client engineering teams to design, build, and deliver production-ready implementations of Thought Machine's Vault and associated products. Responsibilities include writing production-quality code, debugging complex issues, and providing technical consulting to ensure client success. The role requires travel to client sites and close collaboration with both client and internal teams.

Thought Machine London, United Kingdom

On-site Permanent

Delivery Manager (National Security)

Act as a commercial and delivery lead for high-stakes AI projects within the UK national security sector, bridging advanced AI research with government mission needs. Drive end-to-end project delivery, from scoping to implementation, while building trusted relationships with technical teams and senior stakeholders. Mentor teams, develop growth-focused proposals, and ensure responsible AI deployment in a fast-evolving landscape.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

Principal Machine Learning Engineer

This role involves leading the design and implementation of scalable, high-impact machine learning systems within complex enterprise and government environments, particularly in the defence sector. The Principal Machine Learning Engineer will act as a technical authority, shaping architectural direction, solving cross-project challenges, and mentoring engineering teams. Work includes strategic innovation, system integration, and hands-on technical leadership in ethical, real-world AI applications.

Faculty London, United Kingdom

Hybrid Permanent

Machine learning Engineer

This role involves building and deploying production-grade machine learning systems for diverse clients, translating research into real-world applications. You'll work across the full ML lifecycle, design scalable software architectures, and collaborate with cross-functional teams to deliver impactful AI solutions. The position emphasizes technical leadership, cloud infrastructure, and best practices in ML deployment.

Faculty London, United Kingdom

Hybrid Permanent

Principal Designer

A Principal Designer will lead the development of product and service design disciplines within Faculty’s Applied AI division, delivering high-impact client projects while building design capability from the ground up. The role combines strategic client engagement with executive-level consulting, shaping multidisciplinary teams and embedding human-centred design in AI solutions. This position bridges technical AI outputs with real-world commercial outcomes across government, finance, retail, and other sectors.

Faculty London, United Kingdom

Hybrid Permanent

Principal Product Manager

Lead the development of the product management function within a high-impact AI consultancy, shaping standards and practices while delivering transformational AI solutions for enterprise clients. Work across technical, organisational, and strategic levels to bridge advanced AI models with real-world business outcomes. Operate in a hybrid role combining capability building, client advisory, and product execution.

Faculty London, United Kingdom

Hybrid Permanent

Applied Scientist I

This role involves developing and training advanced machine learning models for digital identity verification, with a focus on areas like deepfake detection, bias mitigation, document understanding, and efficient on-device ML. The candidate will conduct research, build multimodal models using synthetic data, optimise training performance across GPUs, and collaborate with engineering teams to deploy solutions globally. Work includes creating large-scale datasets, benchmarking vision-language models, and improving fairness in biometric systems.

Entrust London, United Kingdom

Manager_Associate Director - Project Management

This role involves leading project management for a multi-year osteoporosis drug discovery programme within a TechBio environment. You'll coordinate across interdisciplinary teams including wet lab biology, machine learning, and data science, translating scientific objectives into integrated delivery plans. The position requires managing cross-team dependencies, evolving workstreams, and governance processes in a discovery-stage R&D setting with high ambiguity and scientific complexity.

Relation Therapeutics London, United Kingdom

Permanent

Senior Machine Learning Research Engineer

Develop and scale generative and predictive machine learning models for cellular behaviour using multi-omic biological data. Build robust distributed training and inference systems, bridging ML research and production deployment in close collaboration with scientists. Optimize performance across compute, memory, and I/O while advancing core ML infrastructure in a highly interdisciplinary environment.

Relation Therapeutics London, United Kingdom

Permanent

Customer Director - Professional Services

Leads AI transformation programmes for professional services firms, shaping go-to-market strategy and building C-suite relationships. Guides multidisciplinary teams in delivering production-grade AI solutions that automate complex knowledge work and drive operational efficiency. Combines deep technical understanding with commercial acumen to grow Faculty’s practice in a regulated, high-impact sector.

Faculty London, United Kingdom

On-site Permanent

Senior Computer Vision Engineer - Deep Learning

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £70,000 – £95,000 pa

Hybrid Permanent Clearance Required

Senior MLOps Engineer

This role involves building and maintaining MLOps infrastructure to productionise advanced AI and computer vision models, from distributed training to deployment on cloud and edge devices. The engineer will optimise inference, manage model registries, and develop CI/CD and monitoring pipelines while working closely with research and software teams. The position requires strong hands-on skills in Python, containerisation, and GPU-accelerated systems, particularly NVIDIA Jetson platforms.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa

Hybrid Permanent Clearance Required

Full Stack Python Developer

Design and build full stack applications that enable users to interact with advanced computer vision and AI systems, focusing on image and video analysis, AI visualisation, and integration with customer infrastructure. Develop intuitive interfaces and workflows in collaboration with engineers and end users, with influence over architecture and technology choices. Work primarily on-site in West London, with some remote flexibility.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £60,000 – £80,000 pa

Hybrid Permanent Clearance Required

Forward Deployed Engineer

Design and deploy production-grade machine learning systems for high-impact clients in national security and AI safety. Develop scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle from prototyping to deployment using modern cloud and containerisation technologies.

Faculty London, United Kingdom

Permanent