Latest ai researcher Jobs

[Expression of Interest] Research Engineer / Scientist, Alignment - London

This role involves conducting experimental research in AI safety and alignment, focusing on risks from advanced AI systems. You'll design and run machine learning experiments—such as testing safety robustness, developing control methods, and stress-testing alignment—to improve the reliability and steerability of AI. The work is highly collaborative, involving contributions to research papers and close coordination with teams like Interpretability and Fine-Tuning.

Anthropic London, United Kingdom £260,000 – £370,000 pa
Hybrid Permanent

Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)

Conduct empirical research on AI's economic and societal impacts, using external data and models to explore labor markets, policy, and security implications. Work closely with mentors and contribute to actionable insights for AI safety and governance. Projects may involve methodological innovation and analysis of AI's broader effects on society.

Anthropic United Kingdom
Hybrid Internship
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Senior Software Engineer, AI Inference Systems

Design and optimize high-performance AI inference systems for large-scale models on NVIDIA GPUs, focusing on frameworks like vLLM, kernel optimization, compiler infrastructure, and distributed execution. Develop benchmarking methodologies, contribute to MLPerf, and integrate cutting-edge research into production software. Work across compiler, scheduling, and performance teams to push the limits of accelerated computing in multi-GPU and multi-cloud environments.

NVIDIA PLN 292,500 – PLN 650,000 pa
Remote Permanent
NVIDIA logo

Senior Software Engineer, AI Inference Systems

This role involves building and optimizing AI inference systems for large-scale models on NVIDIA GPUs. The engineer will work on high-performance inference stacks, GPU kernel optimization, compiler infrastructure, and distributed scheduling, while contributing to benchmarks like MLPerf. Collaboration with research teams and integration of cutting-edge ML systems concepts into production software are key aspects of the role.

NVIDIA PLN 292,500 – PLN 650,000 pa
Remote Permanent
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Protection Scientist Engineer, Intelligence and Investigations

Design and build systems to proactively detect and enforce against abuse on OpenAI's products, including monitoring for new launches and responding to critical escalations. Work cross-functionally with product, policy, and engineering teams to develop scalable safety mitigations and investigate high-risk harms. The role involves handling sensitive content and participating in an on-call rotation for urgent issues.

OpenAI London, United Kingdom
On-site Permanent Clearance Required
University of Cambridge logo

Research Associate in Machine Learning (Fixed Term)

Develop and evaluate AI-powered weather forecasting systems for African farming communities, focusing on sub-seasonal and spatio-temporal models. Design modular deep learning architectures integrating remote sensing and numerical data, and collaborate with UK and African partners to operationalize solutions. Work within an end-to-end forecasting team to publish results and support field testing in Ghana and Senegal.

University of Cambridge Cambridge, South East England, United Kingdom £37 – £46 pa
On-site Contract

Senior AI/ML Engineer

This role involves leading AI/ML research and development projects from concept to deployment, applying cutting-edge techniques in computer vision, NLP, reinforcement learning, and large language models to real-world challenges in defence and national security. The engineer will develop solutions using Python, provide technical mentorship, and collaborate with multidisciplinary teams and customers. Emphasis is placed on translating emerging research into practical engineering applications within an agile environment.

Copello Southampton, Hampshire, United Kingdom £60,000 – £65,000 pa

Senior AI & Algorithms Engineer (Defence & Security)

This role involves leading the development of advanced AI and machine learning systems for defence and security applications, including signal processing, edge AI, and information processing with transformers. The engineer will deliver data-driven solutions, mentor junior staff, and contribute to client-facing technical proposals and demonstrators. Work includes translating research into deployable systems, with a strong emphasis on technical ownership and innovation in high-stakes domains.

Cambridge Consultants United Kingdom
Hybrid Permanent Clearance Required

Treasury AI Engineering Lead - NatWest Group

The role involves leading the adoption of Generative AI and machine learning in Treasury operations, focusing on use cases like liquidity forecasting, capital optimisation, and risk management. You will design and deliver AI-driven solutions, oversee cloud migration for scalable experimentation, and promote responsible AI practices. The position emphasizes technical leadership, innovation, and cross-functional collaboration within a financial services environment.

eFinancialCareers London, United Kingdom

Senior AI Engineer - Perm - London

Design and build scalable AI data pipelines and cloud-native services, productionising machine learning and NLP models into reliable systems. Collaborate with data scientists and engineers to deliver intelligent products, while mentoring junior staff and shaping engineering standards. Work with cutting-edge technologies including LLMs, Kubernetes, and cloud platforms in a hybrid environment.

Infused Solutions London, United Kingdom £65,000 – £75,000 pa
Hybrid Permanent

PhD AI - 6 or 12 months

Work on diverse, real-world AI projects in a multidisciplinary team, applying machine learning and algorithmic techniques to develop innovative solutions across sectors like healthcare, defence, and biotech. Engage in hands-on model development, data wrangling, and research, contributing to both client work and internal R&D. Showcase results through demonstrations and technical communication.

Cambridge Consultants United Kingdom
On-site Internship Flexible Clearance Required

Forward Deployed AI Engineer

This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will lead technical scoping, build production-grade API integrations, and ensure seamless deployment within enterprise environments. They will also act as a technical liaison, gathering feedback to inform product and research improvements while working on-site with international partners.

Latent Labs London, United Kingdom, United Kingdom
Hybrid Permanent

Front Office AI Strategy Implementation Specialist - Boutique Hedge Fund - Martis Search

The RoleFront Office AI Strategy & Implementation Specialist – Boutique Hedge FundMartis Search are delighted to be partnering with a successful and highly entrepreneurial Hedge Fund on what we believe is one of the most innovative and forward-looking opportunities currently...

eFinancialCareers London, United Kingdom
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Machine Learning Software Engineer, Research

Develop and scale machine learning models for AI-driven physics and engineering simulations, translating research prototypes into robust, production-grade systems. Work across distributed training, cloud infrastructure, and high-performance computing to deliver foundational models used in aerospace, energy, and advanced manufacturing. Collaborate closely with research scientists and engineers to optimize performance and enable real-world impact.

PhysicsX London, United Kingdom
On-site Permanent
PhysicsX logo

Staff Machine Learning Software Engineer, Research

This role involves leading machine learning research initiatives in a high-performance computing environment, focusing on scalable AI models for multi-physics simulation in engineering and science. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, mentoring junior staff, and shaping technical strategy. Work spans cloud and on-premise infrastructure with a strong emphasis on MLOps, software engineering best practices, and real-world deployment across advanced industries.

PhysicsX London, United Kingdom
On-site Permanent