Latest Recruitment Jobs

Lead AI Engineer

This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, collaborate with product teams, and act as a key partner to the Director of AI.

Harnham - Data and Analytics Recruitment London, United Kingdom £85,000 – £95,000 pa
Hybrid Permanent

DevOps Engineer

This role involves designing, building, and maintaining scalable on-premise infrastructure platforms with a strong focus on Kubernetes, containerisation, and automation. You'll develop CI/CD pipelines using Jenkins and GitHub Actions, manage Linux environments, and support AI-driven workloads in a high-performance setting. The role emphasizes Infrastructure as Code with Terraform or Puppet and close collaboration across engineering and business teams.

Harnham - Data and Analytics Recruitment London, United Kingdom £100,000 – £120,000 pa
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Full Stack Software Engineer

Build and scale AI-powered full-stack systems for global clients in regulated industries, collaborating with data scientists and product managers. Take ownership of frontend and backend architecture, turning machine learning outputs into production-ready solutions. Work in a technically rigorous environment focused on responsible AI deployment and long-term maintainability.

Faculty AI London, United Kingdom
Hybrid Permanent
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Senior Research Scientist - AI Safety

This role involves leading high-impact AI safety research, focusing on red teaming and evaluations for frontier models in high-risk domains such as cybersecurity and national security. The scientist will drive technical research from concept to publication, shape safety strategies, and support real-world deployment of responsible AI systems through collaboration with government and commercial partners.

Faculty AI London, United Kingdom
Hybrid Permanent Clearance Required

Senior Forward Deployed Engineer

Design and build scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Lead technical architecture, deploy secure AI solutions on cloud platforms, and mentor engineering teams. Work cross-functionally to translate complex AI concepts into operational systems while adhering to rigorous ethical and security standards.

Faculty London, United Kingdom
Permanent

Associate (National Security)

This role involves scoping, building, and delivering custom AI solutions for national security clients, translating complex operational needs into actionable technical requirements. You'll work closely with government stakeholders and technical teams to develop secure, trustworthy AI systems for high-stakes environments. The position emphasizes client collaboration, open-source analysis, and user-centric workflow design within an agile delivery framework.

Faculty London, United Kingdom
Hybrid Permanent Clearance Required
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Sr. Engineer, Frontend - Data Platform Experiences , London)

This role involves designing and building data-first UI surfaces, including schema exploration, lineage, query, semantic modeling, and dashboards. You'll work closely with UX, backend, and platform engineers to create intuitive and accessible experiences for technical users.

CrowdStrike London, United Kingdom
Hybrid
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Sr. Security Researcher , DEU)

Develop automated tools for collecting and analyzing security data at scale, including vulnerability research, exploit development, and reverse engineering. Support threat intelligence efforts by identifying malicious infrastructure, analyzing patches, and reproducing 0-day exploits. Publish findings internally and externally while collaborating across teams to deliver actionable technical insights.

CrowdStrike England
Remote Permanent

ML Data & Platform Engineer

This role focuses on building and maintaining scalable data pipelines and ML infrastructure for training and serving speech AI models. You'll work across the full stack—from data ingestion and web scraping to model deployment and observability—ensuring high-quality, reliable data flows and efficient training workflows. The position emphasizes end-to-end ownership of MLOps systems within a distributed, cross-functional ML team.

Speechmatics Cambridge, United Kingdom

Senior Machine Learning Engineer

This role involves working on complex R&D projects in speech technology, collaborating with a diverse team of engineers, and staying current with the latest developments in machine learning. The focus is on training and deploying advanced models, including large self-supervised ones, to achieve high accuracy in speech recognition.

Speechmatics London, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive impactful projects. The team focuses on transforming raw data into predictive features and ensuring models are reliable and maintainable.

Capital One Mansfield, Nottinghamshire, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional data sources such as text and time series. Design and implement neural networks (e.g., LSTMs, Transformers) to extract predictive features and translate R&D into production solutions. Collaborate with stakeholders and mentor junior data scientists in a hybrid-working environment.

Capital One Nottingham, Nottinghamshire, United Kingdom

Senior Data Architect

This role involves defining, designing, and governing high-quality data architectures for complex client environments. You will lead the design of cloud-based data platforms, establish governance standards, and act as a trusted technical partner to clients, shaping their data strategy and advising senior stakeholders.

FSP Reading, United Kingdom
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Expression of Interest - Core Technology Team

This role involves collaborating with the open-source community, implementing support for new AI models, scaling proxy infrastructure, and designing custom infrastructure for research projects. The team focuses on building tools and infrastructure for AI security and evaluation, working closely with researchers and government entities.

AI Security Institute London, United Kingdom