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Experience Level
Experience
Qualifications
The ideal candidate will possess a strong background in machine learning, statistics, or a related field. You should have experience with model evaluation and transparency techniques, as well as proficiency in programming languages such as Python or R. An advanced degree (Master's or PhD) is preferred, alongside a strong publication record in relevant areas.
About the job
aisi seeks a Research Engineer or Research Scientist to focus on Model Transparency in London, UK. The position involves research aimed at making AI models more understandable and accountable. The goal is to clarify complex behaviors within these systems and help build trust in their outcomes.
Key responsibilities
Research new ways to improve the interpretability of AI models
Create methods and tools that help explain how models make decisions
Tackle challenges in understanding and communicating model behavior
Contribute to initiatives that support greater accountability in AI
Location
This role is based in London, UK.
About aisi
aisi is at the forefront of advancing artificial intelligence technologies, committed to creating solutions that prioritize transparency and ethical considerations in AI applications. Our team is passionate about driving innovation and making a positive impact in the technology landscape.
About CircuitHubCircuitHub is revolutionizing the electronics manufacturing industry with The Grid, an advanced robotics platform engineered to enhance the efficiency of small-batch, high-mix electronics assembly. Imagine achieving semiconductor-fab levels of precision within the dynamic environment of prototyping and low-volume production. The outcome? A re…
About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, striving to achieve dual objectives. Our first goal is to understand and construct intelligence, which entails establishing mathematical frameworks for reasoning, learning, decision-making, understanding, and explanation, as well as developing software that embodies these principles.Our second goal is to enhance society's capacity to tackle complex challenges. This involves broadening the scope, scale, and complexity of the problems we can address today, while also accelerating our capability to solve future issues.To realize these missions, we're establishing a groundbreaking technological framework inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a GTM Lead at Basis, you will spearhead our international growth by building and converting commercial pipelines, localizing strategic partnerships, and translating cutting-edge research into customer value. This position focuses on expanding our presence in UK/EU markets while also supporting growth in the US.We seek individuals who blend entrepreneurial spirit with commercial acumen. The ideal candidate will have experience in launching or managing early-stage ventures, possess a solid understanding of technical innovation, and thrive at the intersection of research and commercial application. You will identify new market verticals, structure intricate partnerships, and address operational requirements as Basis scales.Collaboration is key at Basis; we are in pursuit of team players who enjoy building ecosystems that exceed individual capabilities.
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aisi seeks a Research Engineer or Research Scientist to focus on Model Transparency in London, UK. The position involves research aimed at making AI models more understandable and accountable. The goal is to clarify complex behaviors within these systems and help build trust in their outcomes. Key responsibilities Research new ways to improve the interpretability of AI models Create methods and tools that help explain how models make decisions Tackle challenges in understanding and communicating model behavior Contribute to initiatives that support greater accountability in AI Location This role is based in London, UK.
Role overview Xero Limited is seeking a Senior Engineer to join its UK Regional Team, based in London at 7 Devonshire Square. This position focuses on shaping features for the UK market, connecting technical work directly to customer needs and business outcomes. Senior Engineers at Xero handle complex challenges that span multiple products, balancing regional requirements alongside global strategy. Team structure and collaboration The team includes an Engineering Manager, Lead Engineers, and Engineers, all reporting to the General Manager of Engineering for the UK. Collaboration is a core part of the role. Senior Engineers work closely with product owners and peers across Xero, designing, building, and delivering solutions that have real impact. Projects and technical scope Current projects span the full Xero platform, including Payments, Accounting, and Payroll. This role provides exposure to a broad range of products and technical domains within Xero’s suite. Work environment Xero holds a Great Place to Work UK accreditation. Flexible work arrangements are available: choose remote, hybrid, or office-based work in London, Milton Keynes, or Manchester. Offices are designed to support collaboration and connection. Some travel may be needed to coordinate with global teams and support international partnerships. Requirements Curiosity and drive to solve customer problems, delivering clear business value across technical areas Adaptability in learning new domains and navigating unfamiliar codebases Ability to work with stakeholders and build consensus across distributed teams Commitment to high-quality engineering practices, producing scalable and maintainable code Comfort in high-visibility situations, using strong communication to engage stakeholders and broaden influence Experience with modern programming languages and frameworks, along with a solid understanding of software engineering fundamentals
About AnthropicAt Anthropic, we are dedicated to pioneering safe, interpretable, and controllable AI systems. Our goal is to ensure that AI technologies are beneficial for users and society at large. We have assembled a rapidly expanding team of passionate researchers, engineers, policy specialists, and business leaders working collaboratively to create advanced AI systems that serve humanity well.As a leader in AI research, Anthropic is committed to developing ethical, powerful artificial intelligence. We aim to align transformative AI systems with human values. We invite you to join our Pretraining team as a Research Engineer, where you will be instrumental in creating the next generation of large language models. This role allows you to operate at the crossroads of cutting-edge research and practical engineering, playing a key part in building safe, steerable, and trustworthy AI systems.Key Responsibilities:Conduct innovative research and develop solutions in areas such as model architecture, algorithms, data processing, and optimization techniques.Independently lead small-scale research projects while partnering with colleagues on larger initiatives.Design, execute, and analyze scientific experiments to deepen our understanding of large language models.Enhance and scale our training infrastructure to boost efficiency and reliability.Develop and refine development tools to improve team productivity.Contribute across the entire stack, from low-level optimizations to high-level model design.
Role overview Three UK is seeking a Regulatory Manager to join the team in London. The position centers on ensuring the company meets all relevant regulatory obligations and helps the business stay aligned with current compliance standards. Key responsibilities Oversee compliance activities throughout the organization Maintain communication with regulatory authorities when required Create and apply policies that support regulatory compliance Promote sound business practices by implementing effective compliance measures Location This role is based in London.
Full-time|On-site|London, Greater London, England, United Kingdom
About AlphaSense: AlphaSense is the go-to platform for the world's leading companies, helping them eliminate uncertainty in decision-making. Our AI-driven market intelligence and search capabilities deliver critical insights from a trusted content universe that includes equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary research content.The 2024 acquisition of Tegus by AlphaSense enhances our mission to empower professionals with smarter decision-making tools through AI-driven market intelligence. This partnership will fuel growth, innovation, and content expansion, providing users with even deeper insights from an extensive array of content sources. Our platform is relied upon by over 6,000 enterprise clients, including a majority of the S&P 500 companies. Established in 2011, AlphaSense is headquartered in New York City and boasts a global workforce of more than 2,000, with offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us in making a difference!About Expert Insights:Expert Insights, encompassing AlphaSense's Expert Transcript Library and 1x1 Call Services, provides a transformative approach to market intelligence content. Our extensive collection of transcripts captures unfiltered insights from industry operators, providing professional investors with crucial information on companies' real-time dynamics. With over 140,000 transcripts covering all economic sectors and thousands more added monthly, Expert Insights is rapidly becoming essential for institutional investors and other market intelligence consumers, including those in sell-side research, consulting, and large corporations.About the Team:This team collaborates closely with our Directed Content and 1x1 Call Services groups to conduct timely channel checks and voice-of-customer interviews, revealing real-time demand signals, competitive dynamics, and purchasing behaviors across key industry verticals. By accurately identifying the right operators, distributors, or end-customers and engaging them at optimal times, we help investors uncover unique, actionable insights.
About WheelyWheely is revolutionizing premium transportation across major cities in Europe, the US, and the Middle East. We integrate state-of-the-art technology with the art of five-star chauffeuring to provide an experience trusted by over 100,000 active riders and 1,200 corporate accounts.As a profitable and rapidly growing scale-up with $43 million raised and over $100 million in annual revenue, we have recently launched in New York City and are swiftly expanding throughout the US and EMEA. If you take pride in your expertise and wish to help shape the next phase of our growth, we invite you to connect with us.We are seeking Associate Data Scientists with a foundation in Operations Research. You will oversee the entire process—from ideation and research to production deployment.You will be part of either our Pricing or Matching team, collaborating with fellow Data Scientists and engineers to tackle challenging, high-stakes problems such as dynamic pricing and bipartite matching.
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Accor Group seeks a Vice President of Operations to guide its Managed UK portfolio for a 12-month fixed-term contract in London. This senior role carries responsibility for the operational performance of managed properties throughout the UK. Key responsibilities Direct daily operations across all managed UK properties Lead strategic initiatives to enhance operational standards Work to improve guest experience throughout the portfolio Monitor and ensure financial outcomes align with corporate goals Role details Based in London 12-month fixed-term contract
Full-time|$180K/yr - $250K/yr|Hybrid|London, England, United Kingdom; New York, New York, United States; San Francisco, California, United States
About Lightning AIFounded in 2019, Lightning AI is the driving force behind PyTorch Lightning. We create a comprehensive platform for the development, training, and deployment of AI systems, streamlining the journey from innovative research to impactful production.Our merger with Voltage Park, a neocloud and AI factory, enhances our offerings by integrating developer-centric software with efficient, large-scale computing resources. We provide teams with essential tools for experimentation, training, and production inference, ensuring security, observability, and control are integral to our solutions.We cater to individual researchers, startups, and established enterprises, with a global presence including offices in New York City, San Francisco, Seattle, and London. Lightning AI is supported by esteemed investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our ValuesMove Fast: We prioritize speed and precision, deconstructing complex challenges into manageable tasks.Focus: We tackle one objective at a time with care, working collaboratively to deliver features accurately.Balance: We believe in maintaining a healthy work-life balance, promoting sustained performance through rest and recovery.Craftsmanship: We strive for excellence and take pride in the details that contribute to our innovation.Minimal: We embrace simplicity in our innovations, focusing on what truly matters.Role OverviewWe are looking for an accomplished Research Engineer to enhance the optimization of training and inference workloads using compute accelerators and clusters, particularly through the Lightning Thunder compiler and the broader PyTorch Lightning ecosystem. This role exists at the intersection of deep learning research, compiler development, and large-scale system optimization. You will be instrumental in advancing technology that enhances model performance and efficiency, establishing essential software that will influence the entire machine learning landscape.As part of the Engineering Team, you will report to our Tech Lead. This hybrid role is based in our offices located in New York City, San Francisco, or London.
Full-time|On-site|London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast
Join Version1 as a Senior User Researcher and play a pivotal role in shaping user experience across our digital, data, and cloud platforms. You will conduct in-depth research, analyze user behavior, and provide actionable insights that drive product development and enhance user satisfaction.
Three UK is looking for a GTM Planning & Governance Specialist based in London. This position plays a key role in shaping go-to-market strategies and upholding governance standards across multiple projects. Collaboration with various teams is central, as the role aims to refine business processes and drive operational improvements. Main responsibilities Assist in planning and carrying out go-to-market activities for different initiatives Work alongside cross-functional teams to make workflows more efficient Help ensure that projects meet governance requirements and follow established best practices Support efforts to boost efficiency throughout operations
Full-time|On-site|London, United Kingdom; New York, NY, United States
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Application Deadline: We are actively conducting interviews and aim to onboard the right candidate promptly.ABOUT THE ROLEAt Apollo Research, we are embarking on an ambitious journey to establish a groundbreaking field known as the “Science of Scheming.” We are seeking passionate Research Scientists and Engineers eager to contribute to the creation of a new hard science from the ground up.YOUR RESPONSIBILITIES- Collaborate with leading AI innovators. Our partnerships with various labs provide access to an extensive range of models that no single AI lab can offer. Your contributions will significantly influence the development and deployment of advanced AI systems.- Conduct in-depth studies of reinforcement learning dynamics that drive the emergence of reward-seeking behaviors, evaluation awareness, and misaligned preferences. Design and train model organisms, scaling insights to cutting-edge systems.- Explore the “Scaling Laws of Scheming.” Establish empirical foundations to forecast how scheming risks evolve as models increase in capability.- Innovate evaluation techniques that can potentially scale to highly evaluation-aware models.- Investigate AI cognition. Uncover unique patterns in the reasoning processes of advanced AI systems that have yet to be documented.Note: This position does not focus on interpretability roles.KEY REQUIREMENTSWe seek a diverse set of skills to advance our research agenda. We do not expect any single candidate to meet all the criteria listed below. However, a successful candidate will likely excel in one or several of the following areas:- Fast-paced empirical research: Ability to design and execute experiments with a focus on accelerating iteration cycles.
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Full-time|$150K/yr - $225K/yr|On-site|London; New York
We are seeking a skilled and motivated Quantitative Research Engineer to enhance our data and research platforms. In this pivotal role, you will work closely with our quantitative researchers, employing your engineering and data science expertise to create innovative tools and methodologies that boost research productivity. Your contributions will help optimize the research process, refine data analysis capabilities, and drive overall efficiencies in research efforts. This position demands a robust technical foundation, exceptional problem-solving abilities, and a collaborative spirit to work effectively with cross-functional teams. Key Responsibilities:Partner with quantitative researchers to identify workflow challenges and develop technical solutions that enhance research productivity.Design, develop, and maintain software tools and frameworks that improve the efficiency of research tasks, including data collection, preprocessing, and analysis.Implement advanced data processing algorithms and statistical methods to streamline research workflows and enhance analytical capabilities.Utilize your expertise in software engineering and machine learning to construct scalable systems for large-scale data analysis and experimentation.Conduct code reviews and mentor junior research engineers, ensuring high code quality and adherence to best practices.Collaborate with diverse teams to integrate research tools into existing infrastructures.Evaluate and implement third-party tools and libraries to optimize the research process.Engage in research discussions, providing technical insights to improve methodologies and strategies.Assist in creating documentation, user guides, and training materials for research tools and processes.