AI Researcher

Hudson River Trading (HRT)London, United Kingdom; New York, NY, United States; Seattle, Washington, United States

On-site Full-time $200K/yr - $300K/yr

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Experience Level

Experience

Qualifications

Candidates should possess a minimum of two years of professional experience in deep learning research across any domain, such as robotics, biology, or computer vision. Demonstrated ability to adapt techniques from one area to another is highly regarded. Experience with large language models (LLMs) is a plus but not mandatory. Strong engineering capabilities are essential, especially in areas such as GPU kernel development, Pytorch/JAX programming, C++ proficiency, and high-performance computing (HPC) experience. Ideal candidates will be adept problem solvers with a keen analytical mindset.

About the job

Join Hudson River Trading (HRT) as an AI Research Scientist in our cutting-edge HAIL (HRT AI Labs) team. This team is dedicated to creating and refining advanced models that empower our trading operations, significantly influencing our market strategies. We are on a mission to develop 'foundation models for markets' that analyze extensive market data to forecast future trends. As an integral member of our small, agile team, you will have the freedom to explore innovative research paths and contribute to impactful solutions. Our state-of-the-art research infrastructure, featuring high GPU-to-researcher ratios, and our robust support teams will enable you to bring your vision to life. Your contributions will directly affect our business outcomes, tackling complex challenges without straightforward solutions. You will engage in enhancing every aspect of our models, from data featurization to architectural design and training methodologies, ultimately influencing trading decision-making.

About Hudson River Trading (HRT)

Hudson River Trading (HRT) is at the forefront of applying scientific principles to the trading of financial products. With one of the most advanced computational environments for research and development, we strive for excellence in financial technology. Our collaborative culture fosters innovation and empowers individuals to make impactful contributions to the trading landscape. We are committed to leveraging AI to redefine market strategies and are seeking talented individuals to join our journey.

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Mentis AI

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mentis

Full-time|On-site|London

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AI Researcher

Hudson River Trading (HRT)

Full-time|$200K/yr - $300K/yr|On-site|London, United Kingdom; New York, NY, United States; Seattle, Washington, United States

Feb 9, 2026

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Research Scientist/Engineer in AI Evaluations

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Senior AI Researcher at Moneybox | London

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Principal Research Scientist - AI Safety

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Director of Asset Management

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Full-time|On-site|London

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Full-time|Hybrid|London, England, United Kingdom / Remote

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to harnessing the power of artificial intelligence to revolutionize drug discovery and development. We are at the forefront of creating generative AI models aimed at designing protein and antibody therapeutics, facilitating the development of treatments for historically challenging molecular targets. Our innovative approach also includes the development of foundational models for biological processes and diseases, enhancing target identification and patient stratification. Through these groundbreaking technologies, we strive to unlock novel therapies and improve drug development success rates. With headquarters in the San Francisco Bay Area, Seattle, and London, we are positioned to make a significant impact in the biotech field.Position OverviewWe are on the lookout for passionate and driven individuals to join our team as AI Research Engineers. We embrace candidates from diverse backgrounds and experiences, believing that varied perspectives strengthen our ability to solve complex challenges. Our London office, located near Old Street, fosters a highly collaborative environment where teamwork is essential to our success. We promote a hybrid work culture built on trust, with team members typically working in the office three days a week.Key ResponsibilitiesDemonstrate industry experience as a research engineer within an AI-focused organization.Exhibit enthusiasm for collaboration, learning, and teaching while tackling complex problems as part of a team.Desirable QualificationsWe value diverse experiences and recognize that each individual’s journey is unique. While the following qualifications are ideal, they are not mandatory:Master’s degree or PhD in an AI-related discipline.Contributions to public codebases or GitHub repositories.Experience in building and training neural networks.Familiarity with distributed training and inference.Expertise in profiling and optimizing large-scale AI models.Knowledge in BioAI or related fields.If you possess a strong drive to utilize AI in advancing drug discovery and enhancing human health, we invite you to apply and join us in our mission to create a positive impact in the world.

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Full-time|On-site|London

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Mar 30, 2026

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Applied Researcher (Product) - AI Safety Solutions

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Full-time|On-site|London

Application Deadline: We are actively interviewing candidates and seek to fill this position promptly with a suitable applicant. THE OPPORTUNITYBecome a vital member of our groundbreaking AGI safety product team and play a key role in transforming intricate AI research into actionable tools aimed at minimizing AI-related risks. In your role as an applied researcher, you will collaborate closely with our CEO (who also acts as Head of Product), product engineers, and the Evals team’s software engineers to develop solutions that enhance AI agent safety for our clients. Currently, we are concentrating on the oversight of AI coding agents to identify failures in safety and security. You will be part of a compact team, which allows you to significantly influence both team dynamics and technological approaches while quickly assuming greater responsibilities. This position is perfect for you if you have a fervent desire to employ empirical research methodologies to enhance the safety of AI systems in practical applications. If you relish the challenge of converting theoretical AI risks into tangible detection mechanisms, thrive in fast-paced environments, and are eager to see your research make a meaningful impact on real-world AI safety, then we would love to hear from you.KEY RESPONSIBILITIESResearch & Development- Collect and catalog coding agent failure modes systematically from real-world instances, public examples, research literature, and theoretical predictions.- Design and execute experiments to evaluate monitor effectiveness across various failure modes and agent behaviors.- Develop and maintain evaluation frameworks to track advancements in monitoring capabilities.- Refine monitoring strategies based on empirical findings, optimizing detection accuracy alongside computational efficiency.- Stay updated with the latest research in AI safety, agent failures, and detection methodologies.- Keep abreast of advancements in coding security and safety vulnerabilities.Monitor Design & Optimization- Create a comprehensive library of monitoring prompts tailored to specific failure modes (e.g., security vulnerabilities, goal misalignment, deceptive behaviors).- Experiment with various reasoning strategies and output formats to enhance monitor reliability.- Design and evaluate hierarchical monitoring architectures and ensemble approaches.

Dec 17, 2025

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Staff / Principal Applied AI Researcher (Agentic Search)

Nebius

Full-time|Remote|Amsterdam, Netherlands; London, United Kingdom; Remote - Europe

Join Nebius and Shape the Future of AINebius is pioneering a transformative approach to cloud computing, dedicated to empowering the global AI economy. Our mission is to provide the essential tools and resources that enable our clients to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure costs and the necessity of extensive in-house AI/ML teams. Our talented workforce operates at the forefront of AI cloud infrastructure, collaborating with some of the most innovative and experienced leaders and engineers in the industry.Our Work EnvironmentLocated in Amsterdam and publicly listed on Nasdaq, Nebius boasts a global presence with R&D centers across Europe, North America, and Israel. Our diverse team, comprising over 1,400 employees, includes more than 400 highly skilled engineers, equipped with deep expertise in both hardware and software engineering, as well as an in-house AI R&D team.We are on the lookout for a Staff or Principal Applied AI Researcher to join our rapidly expanding team, focused on developing an agent-native search platform—the vital web access layer for AI systems.Unlike traditional search methodologies, we are innovating how AI agents—not humans—access, retrieve, and reason over information available on the internet. As AI increasingly becomes the primary interface for web interaction, this pivotal layer is set to transform the function of conventional search engines.This role involves tackling retrieval and search challenges within entirely new access patterns and scales.Depending on your experience and the responsibilities you take on, this position can be classified at either the Staff or Principal level, granting you ownership over vital aspects of our applied AI research trajectory.You will lead applied research initiatives that directly enhance how AI systems retrieve, ground, and utilize real-world information in production, ensuring that research is closely linked to large-scale deployment.Your ResponsibilitiesEngage in projects at the intersection of search, retrieval, and LLM-based systems, shaping how AI agents engage with the web. This includes designing agent-native retrieval systems (distinct from human search UX), developing systems where LLMs actively query, iterate, and reason over results, and collaborating with cross-functional teams to foster innovation.

May 1, 2026

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Research Engineer - AI Innovations

hyperexponential

Full-time|On-site|London

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Apr 8, 2026

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Senior Research Scientist - AI Safety

Faculty

Full-time|On-site|London

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the most transformative technology of our era. Over the years, we have partnered with more than 350 clients globally, enhancing their performance through human-centered AI solutions. Our tangible impact can be explored here.We prioritize genuine innovation over fleeting trends. Our commitment lies in developing and implementing responsible AI that significantly influences outcomes. Our diverse clientele includes sectors such as government, finance, retail, energy, life sciences, and defense, all of whom benefit from our profound expertise in technology, product development, and delivery.Our rapidly expanding business and reputation drive us to seek individuals who share our passion for intellectual exploration and aspire to create a positive technological legacy.AI is a groundbreaking technology; at Faculty, you will have the freedom to conceive its most impactful applications and bring them to fruition.About Our TeamThe Research team at Faculty is dedicated to critical red teaming and developing evaluations for misuse capabilities in sensitive domains, including CBRN, cybersecurity, and international security. We collaborate with leading frontier model developers and national safety institutes, and our contributions have been recognized in OpenAI's system card for o1.We also engage in fundamental technical research focused on mitigation strategies, with our findings presented at peer-reviewed conferences and shared with national security organizations. Additionally, we create evaluations for model developers across various safety-related areas, highlighting our comprehensive expertise in the safety domain.Role OverviewWe are in search of a Senior Research Scientist to join our high-impact R&D team. You will spearhead innovative research that enhances scientific understanding and drives our goal of developing safe AI systems. This is a vital role within a small, empowered team that conducts essential red teaming and evaluations for frontier models in sensitive fields such as cybersecurity and national security, allowing you to influence the future of safe AI deployment in real-world scenarios.

Nov 12, 2025

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Senior AI Research Scientist at Axon | England

Axon Enterprise, Inc.

Full-time|On-site|England

Become a Catalyst for Change at Axon.At Axon, we are committed to safeguarding lives and enhancing public safety through innovative technology. As pioneers in the field, we tackle critical issues surrounding safety and justice with our comprehensive ecosystem of devices and cloud-based software solutions. Our collaborative culture thrives on open communication and diverse perspectives, both from our customers and within our teams.Working at Axon is not just a job; it's a chance to make a tangible difference. Here, you will take initiative and make a real impact while growing personally and professionally in a fast-paced, meaningful environment.Your RoleWe are looking for adept and forward-thinking Machine Learning Scientists to enhance our AI team, focusing on applications of AI, particularly in Large Language Models (LLM) and Computer Vision across Cloud, Devices, and Robotics. As an integral part of our research and development initiatives, you will significantly contribute to advancing cutting-edge technologies in LLMs, Multimodal Large Language Models (MLLMs), Computer Vision, and Generative AI for law enforcement applications and more. You will work collaboratively with multidisciplinary teams to innovate, develop, and implement advanced LLM, MLLM, and CV models, enabling intelligent reasoning and perception of multimodal data.

Mar 27, 2026

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Finance Internship for AI Research at Mentis | United Kingdom

Mentis AI

Internship|On-site|United Kingdom

About Mentis AIAt Mentis AI, we are pioneering the integration of artificial intelligence with human expertise to redefine industries. Our team is comprised of seasoned professionals from prestigious firms such as Lazard and Partners Group, and we operate across global markets from our key locations in London and San Francisco. We are dedicated to developing AI systems that deeply understand finance, healthcare, and law, collaborating closely with domain experts to enhance AI training.Your RoleThis internship is an exceptional opportunity, allowing you to work alongside our founding team and experienced finance experts. You will engage in meaningful projects that impact the way AI interprets financial markets. Your responsibilities will include:Developing Financial Models: Create DCF valuations, comparable company analyses, LBO models, and credit assessments to serve as training data for AI systems.Conducting In-Depth Financial Analysis: Analyze earnings reports, dissect financial statements, evaluate credit metrics, and produce high-quality research outputs that guide AI models in understanding finance professionals' reasoning.Creating Evaluation Frameworks: Design scoring rubrics and benchmarks to assess the AI’s ability to handle real-world finance scenarios, including merger analysis, debt structuring, and equity valuation.Establishing Annotation Guidelines: Convert complex finance workflows into structured labeling instructions for AI training.Testing AI Outputs: Critically evaluate model-generated financial analyses to identify potential errors in logic and methodology.Collaborating with ML Engineers: Work cross-functionally to refine prompts, enhance data quality, and boost model performance in finance-related tasks.We are a dynamic and agile team, seeking adaptable and enthusiastic individuals eager to contribute to our growth in various capacities.

Feb 9, 2026

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Anthropic AI Safety Fellow

Anthropic

Remote|Remote|London, UK; Ontario, CA; Remote-Friendly, United States; San Francisco, CA

Join Anthropic as an AI Safety Fellow, where our mission is to develop reliable and interpretable AI systems that prioritize safety and societal benefits. This unique opportunity allows you to engage in cutting-edge AI safety research for four months, with guidance from leading experts in the field. You will utilize external infrastructures to undertake an empirical project aligned with our research goals, culminating in a public output such as a research paper. We foster a collaborative environment, connecting you with the broader AI safety research community, and providing generous stipends and resources to support your research endeavors.

Jan 29, 2026

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