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About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met. We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda’s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business. The Opportunity: As a Business Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: • Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output), • Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders., • Proactively identify opportunities for growth within supply and the wider business., • Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply., • Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence., • Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: • At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI, • Advanced working knowledge and hands-on experience in SQL, • Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably), • Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R), • Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance)., • A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.), • Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite., • Experience in conducting A/B testing experimentation, • Strong experience in finding data insights and provide business recommendation to the business, • A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping., • Excellent communicator with superior written, verbal, presentation and interpersonal communication skills., • Data driven in both decision making and performance measurement., • Extreme comfort in ambiguous, fast-paced environment., • Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: • MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance)., • Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience., • Asian market experience., • Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Discover More About Working At Agoda • Agoda Careers ___, • Facebook ___, • LinkedIn ___, • YouTube ___Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our ___. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. The Faculty of Health, Innovation, Technology and Science is a pioneering Faculty, dedicated to creating and communicating knowledge and opportunities to ensure that all of our students can excel within their chosen discipline. The School of Engineering and Built Environment is a vibrant community that welcomes bright individuals and creative thinkers. The school also has an impressive research portfolio, strong partnerships with industry leaders and first-rate facilities. We are now looking for a Research Assistant to play a key role in delivering a research project within the department. The project investigates the impact of sediment on flow measurements and weir operation, with a particular focus on identifying and quantifying associated uncertainties to provide initial findings and recommendations for British Standards Institute (BSI). The role will involve conducting laboratory experiments, participating in field visits, conducting interviews, and carrying out desk-based studies to collect, analyse, and interpret data. The Research Assistant will also be responsible for report writing and documenting research findings. In addition, you will support the preparation and delivery of presentations for internal and external audiences, including academic and industry partners. This position offers an excellent opportunity to gain hands-on research experience and contribute to meaningful projects that advance knowledge and innovation in the field of civil engineering. You will have a master or PhD degree in Civil Engineering in the field of Environmental Engineering, Hydraulics or Water Resources. Experience conducting laboratory and/or field-based research; strong analytical and problem-solving skills, with attention to detail and data quality. This is a 9-month fixed term part-time position, and available from 15 January 2026. Informal enquiries are welcome to Dr Mawada Abdellatif via email: In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. The Faculty of Health, Innovation, Technology and Science is committed to promoting equality and diversity, including the Athena SWAN Gender Equality charter for promoting the career of Women in STEM (science, technology, engineering, mathematics) in higher education. We particularly welcome applications from women for this post and all appointments will be made on merit. Please let us know if you require reasonable adjustments during the recruitment process. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated. LJMU are committed to adhering to the Principles set out in the Researcher Development Concordat; in line with this all fixed-term researchers will be supported to complete 10 days professional development activities per year (pro-rata).

We are looking for a Teacher of Physics to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics. Benefits • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities • Give AI chatbots complex physics problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications • Fluency in English (native or bilingual level), • Detail-oriented, • Strong grasp of classical mechanics, E&M, thermodynamics, and basic quantum concepts, • A current, in progress, or completed Master's and/or PhD is preferred but not required Notes Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United Kingdom will be considered for this role. This is an independent contract position. #physics

We are looking for a Theoretical Physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics. Benefits • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities • Give AI chatbots complex physics questions and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications • Fluency in English (native or bilingual level), • Detail-oriented, • Strong grasp of classical mechanics, E&M, thermodynamics, and basic quantum concepts, • A current, in progress, or completed Master’s or PhD is preferred but not required Notes Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United Kingdom will be considered for this role. This is an independent contract position. #physics

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Job Title: Geneva Consultant Locations: UK/Dubai/Saudi Get To Know Us: SS&C, a leading provider of award-winning software and services for the global investment management industry, is seeking a talented Consultant to support SS&C Advent's Geneva enterprise portfolio accounting application. Blend financial industry knowledge with technology skills while implementing Geneva. Gain exposure from multiple client environments and dealing with complex instruments (derivatives, fixed income, bank debt, etc) and fund structures. Why You Will Love It Here! • Flexibility: Hybrid Work Model, • Your Future: Learn continuously and shape your future in a rapidly scaling fintech environment, • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, • Your Wellbeing: Flexible work arrangements, dedicated mental health courses, and a culture that values balance and respect, • Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity, • Training: Hands-On, Team-customized, instructor led training What You Will Get To Do: • Deliver high-quality consulting services as part of implementation projects, build strong relationships with clients and internal teams to drive client satisfaction and continuous improvement., • Execute implementation tasks, collaborate and communicate project status with internal and external stakeholders., • Collaborate with clients to understand business requirements, design and configure products, automate and optimize workflows., • Ability to work independently and in a team, with flexibility to travel and adapt to changing work hours., • Prepare system and data transition plans, and complete migration involving historical data take-on., • Lead hands-on training sessions, troubleshoot issues, provide technical support during go-live events., • Ability to learn quickly and independently by gathering information from a variety of sources to acquire the knowledge needed to complete assigned tasks., • Develop strong communication skills with the ability to present information to both technical and nontechnical individuals. What You Will Bring: • Bachelor's degree in finance, accounting, exact science (e.g. Mathematics, Computer Science, etc) is required., • 6+ years of client experience in the financial services industry is required., • Strong knowledge of investment management, fund accounting, and asset management., • Solid working knowledge of client back office workflow and operations are required., • Expertise with the general ledger, fund accounting and trial balance is required., • Working knowledge of SSC Advent’s Geneva or expertise with similar applications., • Excellent communication, project, and client management skills, • Strong problem-solving, analytical, and organizational skills, • Detail-oriented, positive attitude, and proactivity., • Ability to learn quickly and present to technical and non-technical audiences It would be great if you also had: • Postgraduate degree preferred., • Experience with buy-side/sell-side traders or trading operations, • Technical skills (IT, databases, reporting tools), • SQL skills and knowledge of FIX protocols (4.0, 4.2, 4.4) We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense. Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website @ ___. Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

We are seeking a Senior Solutions Architect with strong hands-on experience in deploying, debugging, and optimizing training and inference workloads on large-scale GPU clusters. As we support customers and partners across Europe in training models on ground breaking GPU infrastructure, we are looking for someone who enjoys solving complex challenges at the intersection of High Performance Computing and AI. Similarly, inference is increasing in its complexity with explosion of MOE models and disaggregated execution making inference truly a HPC workload. You don’t need to have expertise in every skill we mention, but we are especially interested in candidates who bring deep knowledge in at least few key areas to enable large scale AI workloads. If you can demonstrate hands-on experience, we would love to hear from you. What You’ll Be Doing • Collaborating with NVIDIA’s training framework developers and product teams to stay ahead of the latest features and help partners to adopt them effectively., • Assisting with deployment, debugging, and improving the efficiency of AI workloads on extensive NVIDIA platforms., • Benchmarking new framework features, analyzing performance, and sharing actionable insights with both customers and internal teams., • Working directly with external customers to solve cluster performance and stability issues, identify bottlenecks, and implement effective solutions., • Build expertise and guide customers in scaling workloads efficiently and reliably on the latest generation of NVIDIA GPUs., • Contributing to Europe’s Sovereign AI initiative by helping customers implement advanced resiliency features within AI training pipelines. What We Need To See • BS, MS, PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field—or equivalent practical experience., • 8+ years of experience in accelerated computing technologies at cluster scale, ideally including work with NVIDIA platforms., • Strong programming skills in at least one of the following languages: C, C++, or Python., • Practical experience identifying and resolving bottlenecks in large-scale training workloads or parallel applications., • Hands-on experienced in profiling and debugging large parallel applications., • Solid understanding of CPU and GPU architectures, CUDA, parallel filesystems, and high-speed interconnects., • Experienced in working with large compute clusters with an understanding of their internal scheduling and resource management mechanisms (e.g. SLURM or Cloud based clusters)., • Proficient knowledge of training pipelines and frameworks, encompassing their internal operations and performance attributes. Ways To Stand Out From The Crowd • Experience in debugging training pipelines running on thousands of GPUs in production environment., • Hands-on experience with performance profiling and optimizations using tools like Nsight Systems, Nsight Compute and good understanding of NCCL, MPI and low-level communication libraries., • Ability to debug stability issues across the entire stack: parallel application, training frameworks, runtime libraries, schedulers, and hardware., • Solid understanding of the internal workings of LLM frameworks such as PyTorch, Megatron-LM, or NeMo, and how they affect compute layers like CPUs, GPUs, network and storage or understanding of inference tools such as vLLM, Dynamo, TensorRT-LLM, RedHat Inference Server or SGLang. JR2007074

Engineering teams face an impossible reality: deliver more complex products faster, with fewer experts, and zero tolerance for failure. nTop changes how engineering gets done. Our technology collapses months of iteration into hours, letting teams explore thousands of variants instead of settling for the first option. Teams reduce development time by 50% and increase program win rates. Leaders choose nTop when failure isn't an option. If you’re motivated by solving tough engineering challenges alongside a team that learns and grows together, you’ll thrive at nTop. We’re seeking teammates who are eager to experiment, innovate, and make a meaningful impact with technology. Does this sound like you? nTop is hiring a Senior Software Engineer, Machine Learning in Applied Physics to build cutting-edge surrogate models that accelerate complex physics simulations by 100-1000x, enabling real-time engineering design and optimization. This role is remote in either Germany or the UK, and reports to the Engineering Manager, Analyze. What You'll Do • Build and deploy surrogate models to replace expensive physics simulations with 100-1000x speedups, • Integrate existing ML solutions into the nTop ecosystem, • Prepare and curate training data by labeling simulation outputs, annotating physics features, and building high-quality datasets from multi-fidelity sources, • Validate models rigorously against high-fidelity simulations and experimental data with uncertainty quantification, • Document model architectures, assumptions, and limitations for technical and non-technical stakeholders Required Experience • MS/PhD in Physics, Applied Mathematics, Mechanical/Aerospace Engineering, or related computational field, • 3+ years developing surrogate/reduced-order models for physical systems, • Proven expertise in deep learning frameworks (PyTorch or TensorFlow) applied to scientific problems, • Strong foundation in numerical methods, PDEs, and computational physics (FEM, CFD, or similar), • Proficiency in Python scientific computing stack (NumPy, SciPy, Pandas, scikit-learn), • Experience with uncertainty quantification and Bayesian methods in ML models, • Track record of working with large-scale simulation data and HPC environments, • Hands-on experience with at least one physics simulation package (ANSYS, COMSOL, OpenFOAM, etc.) Preferred Experience • Experience with neural operators (DeepONet, Fourier Neural Operators) for PDE solving, • Experience with NVIDIA ecosystem for physics AI (Physics Nemo, Omniverse, SimNet), • Familiarity with NVIDIA Domino for ML model management and deployment, • Experience with setting up and deploying inference services, • Proficient in containerization technologies, particularly Docker, • Background in aerospace and energy systems, • GPU programming experience (CUDA, OpenCL), • Understanding of digital twin architectures and real-time simulation requirements Compensation • €70.000-€80.000 annually plus options

Contract Length: Jan '26 - May '26. This will increase based on performance. CONTRACT HOURS: Originally 20 hours, this will increase with the addition of new projects. The aim will be to get you onto 40 hours asap. AS A Migrations Solution Architect YOU WILL: • Design comprehensive migration plans and solutions tailored to the customer's needs and architecture, ensuring a seamless transition to Snowflake, • Partner with our customers, acting as the technical expert for all aspects of Snowflake during implementation, • Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own, • Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them, • Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments, • Create presentations and document learnings from the project. Develop utilities and accelerators to streamline migration and related activities, • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing OUR IDEAL SOLUTIONS ARCHITECT, MIGRATIONS, WILL HAVE: • 8-11 years of experience as a solutions architect, data architect, database administrator, or data engineer, • Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform, • Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc., • End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure, GCP), • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos, • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools, • Extensive hands-on expertise with SQL and SQL analytics and scripting languages like Python, Bash, Shell etc., • University degree in computer science, engineering, mathematics or related fields, or equivalent experience ADDITIONAL PREFERRED QUALIFICATIONS • 5 years of technical consulting experience, • Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase), • Familiarity and experience with common BI and data exploration tools (e.g. Power BI, Microstrategy, Business Objects, Tableau), • Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, OpenStack, etc.), • Experience implementing ETL pipelines using custom, packaged tools and software development experience using C/C++, Java etc., • SnowPro Core Certification

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Quant Expert Type: Contract Compensation: $53–$74/hour Location: Remote Commitment: 20–30 hours/week Role Responsibilities • Collaborate with AI researchers to design, train, and validate quantitative and statistical models., • Apply advanced mathematical, statistical, and computational methods to enhance model performance and stability., • Evaluate and refine algorithmic frameworks to ensure robustness, precision, and reliability., • Contribute to the training and fine-tuning of AI systems, ensuring they reason accurately in quantitative contexts., • Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review experiments, debug models, and exchange technical insights. Qualifications Must-Have • Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, or Quantitative Finance., • Expertise in probability, optimisation, and numerical analysis., • Proficiency in one or more programming languages commonly used for quantitative work (Python, C++, Julia, R, or Rust)., • Experience with simulation systems, data analysis, or machine learning frameworks is a strong plus., • Excellent analytical reasoning, communication, and collaboration skills., • Ability to commit to 20–30 hours per week, including the required synchronous collaboration periods. Compensation & Legal • Hourly contractor through Mercor. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. About The Role The SandboxAQ Cybersecurity R&D team is looking for an AI Security Researcher to help us build the future of AI security where the world’s most advanced AI systems are tested, protected and hardened against the next generation of threats. A successful candidate thrives at the intersection of machine learning, security and software engineering. You’ll lead investigations into how AI systems can fail, and build the tools, rules and frameworks that keep them secure. This is a hands-on role where you’ll break things, fix them and then harden them for good. You’ll have extensive freedom to explore, collaborate, publish, and deploy, shaping the field of AI security from both the offensive and defensive sides. We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker. You will be part of a diverse team consisting of ML experts, cryptographers, mathematicians, and physicists, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. We’re not another security vendor chasing patch cycles - we want to make an impact, and we want to do it fast. Core Responsibilities • Conduct original research into vulnerabilities, exploits, and adversarial behaviors in LLMs, LQMs, agents, and related AI frameworks, • Build and operationalize AI security frameworks, evaluations and red teaming tools, and defensive mechanisms to protect models and data, • Partner with engineering and product teams to integrate your findings into real-world systems, • Lead or contribute to responsible disclosure and research publications that advance the state of the art, • Stay on the edge of the latest in AI interpretability, alignment, and adversarial robustness, and use that knowledge to make AI safer for everyone Required Qualifications • PhD or Masters in Computer Science or related field with a focus on Machine Learning or Cybersecurity, • Deep expertise in AI/ML, security research, or both - with a proven ability to find and fix real vulnerabilities, • Hands-on experience with at least one of the following: Adversarial LLM red teaming, model extraction or prompt injection, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse, • Strong programming skills in Python, and relevant ML and/or agentic frameworks Desirable Qualifications • Experience contributing to open source projects, • Experience in the broader cybersecurity domain is a plus, but not essential The US base salary range for this full-time position is expected to be $184k - $230k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity. SandboxAQ Welcomes All We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: ___Compensation Range: $181K - $285K

Our mission We're making Africa the first cashless continent. In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash. We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across 9 countries and are growing fast. Our goal is to make Africa the first cashless continent and that's where you come in... How you’ll help us achieve it Wave is now the largest financial institution in Senegal, with over 7 million users. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives. We’re looking for an experienced Data Scientist and help grow and strengthen our user base. You’ll work on high-impact use cases with millions of users, such as optimizing our existing scratch card rewards program or designing and launching entirely new initiatives from scratch. The technical challenges range from crafting simple heuristics when data is sparse to applying advanced techniques like geospatial analytics, network analysis, and uplift modeling. You’ll own the full cycle: defining the right approach, implementing it, and shipping it in production. This role is highly experimentation-driven: you’ll be able to rapidly test ideas, learn from real user feedback, and iterate quickly. We’re looking for someone who is product-minded, hands-on, and pragmatic: a data scientist who sees beyond models and algorithms and thinks deeply about how data connects to intuitive user behavior and real-world impact. In This Role You’ll • Be part of a multidisciplinary team, working with engineers, data analysts, economists and a product manager., • Focus on advanced analytics and machine learning problems, delivering them end-to-end independently., • Prioritise work and shape your own approach in a way that maximises the positive impact on both users and the business., • Engage not just with business metrics, but also collaborate closely with Operations teams to understand the real-world outcomes and impact of your work. Key Details • You can work remotely from anywhere (between UTC -5 and +2) with reliable Internet access., • Wave covers travel once per year to one of our operating countries in Africa, as well as a yearly stipend of $1,200 to meet with coworkers., • Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to $149,200 USD (paid in your local currency equivalent), plus a generous equity package., • Major benefits:, • Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country)., • 6 months of fully paid parental leave and subsidized fertility assistance., • Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays., • $10,000 annual charitable donation matching. Requirements, • Education and Experience, • Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. A Master's or PhD is a plus., • 4+ years experience in applied data science or similar experience., • Demonstrated experience with data analysis, machine learning and product A/B tests., • Experience in using advanced analytics for optimising targeting, rewards or incentive programs is a big plus., • Technical skills, • Proficiency in applying machine learning methods to solve business problems., • Very strong Python skills with expertise in data manipulation, analysis and machine learning. Must be comfortable writing code that runs in production., • Competent in SQL., • Solid foundation in probability and statistics. You might be a good fit if you, • Thrive on spotting key problems and finding the fastest, most effective solutions., • Enjoy and excel at working on machine learning and statistics problems., • Quickly build and validate proof-of-concept solutions, refining based on real-world feedback., • Prefer pragmatic approaches but apply complex methods when the impact is worth it., • Work iteratively, knowing when a project is “good enough” to avoid over-polishing., • Communicate insights clearly to all audiences and make confident, data-driven recommendations. Our team • We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, Uganda, Niger, Sierra Leone, and Cameroon plus remote team members spread across the world., • We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most., • We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production., • We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa., • We are on Y Combinator's top companies by revenue . How to apply Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role. We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals. Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solutions Architect with expertise in Multimodal AI, with a strong background in Vision-Language Models (VLMs), and understanding of their implications for "Physical AI" which is redefining industries such as robotics, manufacturing, and healthcare by combining perception and language with decision-making. The ideal candidate is an AI specialist with a deep understanding of vision language models and desire to reapply those skills in robotics. If you have a passion for vision-language-action models, large-scale pretraining, robotic data curation, and post-training using supervised fine-tuning and reinforcement learning, this is a position for you! What You Will Be Doing • Serve as the primary technical expert between NVIDIA and our customers, understanding their technology and provide the best AI solutions/ guidance on training process in terms of tools and methodology, • Build proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms in robotics, • Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology, • Work with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. What We Need To See • MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields., • Deep expertise in AI/Deep Learning, with hands-on experience in training or optimizing VLMs for production, • Expertise with deep learning frameworks for training VLMs (PyTorch, Nemo), and/or experience with such model's optimization methods and tools (TensorRT and Triton Inference Server)., • Excellent verbal, written communication, and technical presentation skills in English., • 5+ years' work or research experience with Python/ C++ / other software development, • AI passionate with a growth mindset, ability to collaborate effectively with different teams (Engineering, Product, Sales, Marketing) in a rapid evolving environment while continuously learning and sharing insights. Ways To Stand Out From The Crowd • Familiarity with Cosmos (e.g. Cosmos-Reason) and Isaac GR00T family of models., • Familiarity with robotics simulation environments (Isaac Sim, Isaac Lab, MuJoco, etc.)., • Experience in large scale training / understanding of modern model, data, expert, context parallel training techniques., • Track record in Neural Networks inference optimization for Physical AI use cases Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR2007514

This opportunity is shared as part of a referral program Mercor is hiring Portfolio Managers on behalf of a leading AI Lab developing models that simulate and optimize real-world investment decision-making. This is a rare opportunity for experienced finance professionals to apply their portfolio management expertise to help train and refine AI systems designed to think and act like world-class investors. Responsibilities • Collaborate with AI researchers to train, evaluate, and improve AI models that simulate portfolio construction, optimization, and risk management., • Review and assess model outputs for investment reasoning quality, portfolio allocation accuracy, and consistency with real-world financial logic., • Provide expert feedback on strategy design, asset selection, risk-reward tradeoffs, and market interpretation., • Contribute to the creation of evaluation frameworks that benchmark model performance against established portfolio management principles., • Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to discuss experiments, analyze model outputs, and provide structured guidance on investment strategy and decision flow. Requirements • 8+ years of experience in portfolio management, investment strategy, or asset management, with a proven record of delivering consistent returns., • Strong understanding of risk analytics, asset allocation, portfolio optimisation, and performance attribution., • Proficiency in financial modelling tools and analytical platforms (Python, Excel, R, or MATLAB) preferred., • Advanced degree in Finance, Economics, Mathematics, or CFA / MBA designation strongly preferred., • Excellent ability to articulate and rationalise investment decisions, both qualitatively and quantitatively., • Commitment of 20–30 hours per week, including required synchronous collaboration sessions.

Your responsibilities as a SEMH Maths Teacher Key stage 3: Deliver engaging and differentiated mathematics lessons to students with SEMH needs, ensuring their progress and attainment. We are seeking a dedicated and passionate SEMH Maths Teacher Key stage 3 to work in a specialist Social, Emotional,

About role Prospero are looking to recruit an experienced and enthusiastic Cover Supervisor to work within a secondary school in the Formby area.The strongest applicant will have confidence in Mathematics, English and a subject of their choice and have good behaviour management.Cover Supervisor L

Are you a qualified Mathematics Teacher looking to secure a new and exciting position in a fantastic secondary school on the Wirral for the remainder of the academic year? Perhaps you've recently left a permanent position, and want to find a full-time contracted role before pursuing new permanent avenues in the coming academic year? A wonderful secondary school located on the Wirral is eager to secure a superb Mathematics Teacher for the remainder of the academic year, able to provide outstanding learning experiences for KS3 & KS4 students beginning as soon as possible. Find out more about this exciting Mathematics Teacher role on the Wirral below! Mathematics Teacher - Role Information: Providing high quality KS3 & KS4 Mathematics learning experiences Monitoring and enhancing student progression in Maths subject Identifying academic weak-points and combatting learning barriers Monday to Friday role - November 2025 to July 2026 Paid £180 - £220 per day during term time Working hours: 08.30am to 15.30pm Based in one secondary school in Bebington areaMathematics Teacher - Applicant Requirements: Qualified Teacher Status - Secondary Science or Mathematics Minimum 2:2 UK based degree Strong classroom management skillset Ability to build genuine rapport with students Naturally outgoing and supportive individualMathematics Teacher - The School: Highly regarded secondary school Located in the Bebington area ...

We are looking for a skilled educator who is confident delivering Mathematics across KS3–KS4 and who can inspire students to achieve their best. This is a full-time role, with potential for permanent placement for the right candidate. The successful applicant will earn a minimum of £144 a day, rising to £200 a day depending on qualifications, experience and performance during any school trial. What you will need to succeed: You will have a relevant background delivering Maths at secondary level. We are looking for someone confident, adaptable and enthusiastic, with a passion for numeracy, problem-solving and making mathematics accessible. Whether you are an experienced teacher or newly qualified, this role offers opportunities to develop your practice and help students grow in confidence. The ideal candidate will have experience helping young people build resilience, analytical thinking and essential curriculum skills within a classroom environment. The ideal Maths Teacher should: • Be Qualified / Newly Qualified / Experienced in teaching Maths • Have a relevant background – Maths, STEM, Secondary Teaching, SEND or mainstream education • Have experience delivering Key Stage 3 and Key Stage 4 curriculum content • Be flexible, patient and confident differentiating lessons to support varied learning needs • Be able to communicate effectively within a team • Be available to work 8.30am&nda...

About the School of Computer Science and Mathematics The School of Computer Science and Mathematics is dedicated to producing research that has real-world application, boasting specialisms in immersive technologies, applications of artificial intelligence, trustworthy computing technologies and dat

As part of a significant investment in the new faculty, The School of Computer Science and Mathematics is looking to appoint a professor in the field of computer science with a particular focus on artificial intelligence and data science. About the School The School of Computer Science and Mathemat

A leading technology solutions provider is seeking a Subject Matter Expert with a PhD in Bioinformatics, Mathematics, Chemistry, or Physics.