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Senior Full Stack Software Engineer (Java + React) S&P Global Ratings is looking for a Sr. Full Stack Engineer to join Structured Finance Value Stream. This team, who has a broad and expert knowledge on Ratings organization's data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform. Responsibilities and Impact: We are looking for a self-motivated, enthusiastic, and passionate software engineer to develop technology solutions for S&P global Ratings product. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web applications, data pipelines, big data, machine learning and multi-cloud. Complete SDLC: architecture, design, development, and support of tech solutions Active participation in all scrum ceremonies, follow SAFe/AGILE best practices effectively. Play a key role in the development team to build high-quality, high-performance, scalable code. Produce technical design documents and conduct technical walkthroughs. Document and demonstrate solutions using technical design docs, diagrams, and stubbed code. Collaborate effectively with technical and non-technical stakeholders. Respond to and resolve production issues. Mentor teams, innovate and experiment, give face to business ideas and present to key stakeholders. What We're Looking For: Basic Required Qualifications: Bachelor's degree in computer science, Information Systems, Engineering, or related technical degree. A minimum of 5-8 years of experience in application development. Strong Java/.NET Core skills with experience in development of concurrent and distributed systems Basic Knowledge of User Interface design & development using Angular, React, HTML5, XML & CSS Develop design and architecture exposure and ability to ensure quality across various technology components that are developed by geographically diversified software engineer. Experience writing SQL queries and understanding of data models. Experience in designing and implementing REST APIs & micro services-based solutions. Should have experience writing unit/integration tests. Proficient with software development lifecycle (SDLC) methodologies like SAFe/Agile, Test-driven development. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools. Additional Preferred Qualifications: Domain knowledge in Financial Industry and Capital Markets is a plus. Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.) Experience in DevOps development and deployment using docker and containers. Python experience is a plus. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. Inclusive Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - English_formattedESQA508c.pdf - About the Role: Grade Level (for internal use): 10 The Team: S&P Global Ratings is looking for a Sr. Full Stack Engineer to join Structured Finance Value Stream. This team, who has a broad and expert knowledge on Ratings organization's data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform. Responsibilities and Impact: We are looking for a self-motivated, enthusiastic . click apply for full job details

Senior / Lead Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Job Type Professional AI or Artificial Intelligence Job Id Location: Offsite, London, United Kingdom Area of Interest Engineer - Software Job Type Professional Technology Interest AI or Artificial Intelligence Job Id New Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by using Causal AI to redefine Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly distributed team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognized this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyze and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and improve the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve complicated research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organizations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skills and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Message to applicants applying to work in the U.S. and/or Canada: When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees haveaccess to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days ofvacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Offpolicy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours ofunused sick timewill be carried forwardfrom one calendar yearto the nextsuch that the maximum number of sick time hours an employee may have available is160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. Sign up to receive notifications of similar jobs

About the role Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power millions of critical business decisions every day. Taktile is based in Berlin and New York City. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, Tiger Global and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by designing a world-class organization across all seniority levels and hierarchies. That's where you come in. As a Customer Value Engineer at Taktile you work with our customers to maximize the value they get from the platform. This function is core to our mission of transforming our customer's decisioning infrastructure to optimize and automate complex and mission critical business decisions. You will work in partnership with Taktile's Sales and Solutions Team and are making sure our customers maximize value from Taktile throughout their entire lifecycle. ABOUT YOU Curious and Creative -You love identifying and exploring creative solutions to our customers' challenges and diving deep into their technical and business implications for the customers and the Taktile platform as a whole Customer Centric -You are curious and obsessed with maximizing the value customers get from the Taktile platform directly and through our support Entrepreneurial -You're hands on and driven to shaping the future of the product and organization around you and willing to go the extra mile to build an amazing solution for customers Team Player -You enjoy close collaboration with peers in Marketing, Sales, Solutions, Support, Product, Engineering and the Customer Success team Experienced - You have 5+ years of customer facing work experience, ideally within a Customer Success Organization or a different commercial role in a B2B SaaS company with an Enterprise sales motion Organized - You feel comfortable planning, managing and communicating multiple project scopes, expectations and timelines across internal and external senior stakeholders Technical Depth - You have a strong technical background and can dissect and communicate technical challenges and approaches to engineers as well as customers What You'll Do Your core task will be supporting our customers in maximizing their value from the Taktile platform through ideating, sparring and exploring potential to optimize decisioning from a technical as much as business perspective. You will closely collaborate with Taktile's Account Executive and Solution Engineers to build strong relationships with executive level stakeholders as well as Taktile's core users within customer teams You will develop a deep understanding of the Taktile platform and the business value it can unlock for the customer portfolio you manage You will orchestrate and drive customer renewals as well as identifying potential for new use cases throughout the customer lifecycle You will work with our product and engineering teams to translate your knowledge of customer problems into product insights to ensure customers can use Taktile to solve their business problems Ideal, But Not Required You have acquired domain expertise in the financial services industry (banking, insurance, lending, payments, etc.) You have collected first experience in leading a team You demonstrate strong analytical skills and have a hands-on mentality You have knowledge of APIs and know the basics of Python and SQL You communicate confidently in Spanish and/or Portuguese Our Offer Receive top-of-market equity and cash compensation. Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes. Join us onsite in our inspiring office spaces in the heart of Berlin, London or New York and travel to bi-yearly company-wide meetings around the world. Make an impact and meaningfully shape an early-stage company. Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. Get to know and learn from experienced mentors such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. Use the equipment of your choice including a meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About us Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.

AI Evaluation, Research Methods, Python, LLMObservability Salary range £60,000-£80,000 p.a. + equity, depending on experience (up to £100,000 forcandidates with exceptional relevant experience) Apply Email us at and tell us a little bit about yourselfand your interest in the future of writing, along with your CV or a link to your CV site. What is Marker? Marker is an AI-native Word Processor - a reimagining of Google Docs and Microsoft Word. Join us in building the next generation of agentic AI assistants supporting serious writers in their work. We are a small, ambitious company using cutting-edge technology to give everybody writing superpowers. What you'll do at Marker We are looking for someone with a couple of years experience in academia or industry who can help us bringrigour and insight to our AI systems through evaluation,research, and observability. You'll work directly with Ryan Bowman (CPO) to help us understand and improvehow our AI assists writers. Here are some examples of areas you will be working in: Design and implement evaluation frameworks for complex, subjective AI outputs (like writing feedbackthat's meant to inspire rather than just correct) Build flexible evaluation pipelines that can assess quality across multiple dimensions - from humanpreference to actual writing improvement Research and prototype new evaluation methodologies for creative and subjective AI tasks Collaborate with our engineering team to integrate evaluation insights into our development process Help define what "quality" means for different AI outputs and create metrics that actually matter forour users Work on challenging problems like: "How do we automatically evaluate whether an AI comment successfullyencourages thoughtful revision?" What we can offer A calm, human-friendly work environment among kind and experienced professionals Fun, creative, novel, and interesting technical work at the intersection of AI research and productdevelopment An opportunity to work with and learn about the latest advancements in AI evaluation and language models Direct collaboration with leadership to shape how we understand and improve our AI systems As much responsibility and growth opportunities as you want to take on Are you a good fit for this role? In order to be successful in this role, you will recognise yourself in the following: You have experience with AI/ML evaluation methodologies and can speak the language of AI research You've worked hands-on with language models and understand the challenges of evaluating subjective,creative outputs You are a self-starter willing to work independently and at speed - we imagine a 2-week experimentcadence at most. You are familiar with and have worked on related technical systems (evaluation pipelines, datacollection tools) but don't need to be a full-stack engineer. You won't be expected to build these alone! You think critically about what metrics actually matter and aren't satisfied with vanity metrics You're comfortable working with ambiguous problems where the "right answer" isn't obvious You have some programming experience (Python preferred) and can work independently on technical projects You're interested in the intersection of AI capabilities and human creativity An exceptional candidate for this role would be able to demonstrate some of thefollowing: Experience building evaluation systems for generative AI in production environments Knowledge of TypeScript and ability to integrate with our existing systems Background in human-computer interaction, computational creativity, or writing research Experience with A/B testing, statistical analysis, and experimental design Familiarity with modern AI observability and monitoring tools Published research or deep interest in AI evaluation methodologies Interest in writing (fiction, non-fiction, essays) However, you are NOT expected to: Be a senior software engineer - we're looking for someone who can build evaluation systems, notarchitect our entire backend Have solved every evaluation problem before - this is cutting-edge work and we're figuring it outtogether Be experienced with every library in our stack from day one - you'll work closely with Ryan and ourengineering team Have a specific degree - we value practical experience and research ability over credentials Our stack You'll be working with the following technologies: Our AI engine uses a range of models, including self-hosted and fine-tuned open source models, as wellas latest reasoning models from Anthropic and OpenAI Evaluation and research tools built primarily in Python, with integration into our TypeScriptinfrastructure Our agentic AI execution platform is written in TypeScript, hosted on Cloudflare Workers Standard ML tooling: various evaluation frameworks, data analysis tools, and monitoring systems Our text editor frontend is a web application built with React, TypeScript and ProseMirror Apply now! Interested? Email us at with your CV (or a link to your CV site).Tell us a little bit about yourself and why you'd like to work at Marker! Please note that this role is currently only available based in ourLondon hub, and at this time we are not able to sponsor work visas in the UK.

causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead. Here are 2 articles that define our culture: 1. A Hiring Framework for a New Kind of Services Company 2. The Primacy of Winning We are seeking AI Engineers with strong data science expertise who are excited to help world-leading enterprises deploy cutting-edge AI agents. The ideal candidate will bring a blend of: experience with traditional data science and machine learning (solid stats, programming, ideally exposure to MLOps, etc.) critical: up-to-speed with the latest AI tools and active (daily) leverage of the same (co-pilots, MCPs, agentic workflows, RAGs, LLMs) - we appreciate these are new and fast moving technologies - so, we are not looking for years of experience with these, but the proactive, keen adoption and leverage across stakeholder management, solution architecture and delivery. You will work closely with clients, translating business problems into scalable, intelligent solutions. You'll collaborate with top-tier enterprises to design and deploy bespoke data science agents, empowering users to fully leverage the capabilities of our platform. Benefits We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a good work-life balance, we offer the following: 25 days of paid holiday, plus bank holidays carry over/sell holiday options (up to 5 days) Share options Pension scheme Happy hours and team outings Referral bonus program Cycle to work scheme Friendly tech purchases Benefits to choose from, including Health/Dental Insurance Special Discounts Learning and development budget Work abroad days Office snacks and drinks Logistics Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approx 3 hours in-person challenge followed by an in-person presentation and interviews. Have questions? We encourage open dialogue-reach out anytime. If you require accommodations during the application process or in your role at causaLens, please contact us at

Career Opportunities with Mitsubishi Electric Research Laboratories A great place to work. Current job opportunities are posted here as they become available. Staff - Research Scientist - Optimization Algorithms Department: OR - Optimization and Intelligent Robotics Our team addresses optimization problems arising from a variety of domains including electric grids, drones, transportation, and supply chain management. The applications of interest encompass the problem classes of continuous non-convex nonlinear programs and mixed-integer nonlinear programs. We are seeking candidates who can perform fundamental research in developing novel optimization algorithms, analysis of algorithms, incorporate machine learning techniques for improving performance of algorithms, and implementation of algorithms that can be deployed in application specific processing environments ranging from embedded processors to massively parallel architectures. The candidate will have an opportunity to learn about the specific application domains above and is expected to tailor algorithms for computational performance. Longer term interests also include the study of quantum processors and their impact on optimization in general. The successful candidate is expected to perform leading research in this area, to demonstrate it through application to one or more of the domains above, to publish in top conferences and journals, and to develop over the years a fundamental research agenda aimed at impacting the scientific community and the Mitsubishi Electric's future technology. Responsibilities for this position include: Conducting innovative and relevant research in optimization algorithms, possibly with applications to electric grids, transportation, and supply chain optimization, Developing a research agenda impacting both the scientific community and the future company technology, Publishing results in leading technical journals, conferences, and in patent applications, Applying the research results to company-relevant R&D projects, Collaborating with research staff, academic partners, and mentoring interns, Transferring results and technology to Mitsubishi Electric corporate research laboratories. Qualifications for this position are: A Ph.D. from an internationally-recognized institution in computer science, mathematics, numerical analysis, or chemical, industrial engineering, electrical, or a related discipline, with a focus on optimization, A strong publication record, consistent with experience, Extensive knowledge of a numerical optimization algorithms for convex programming and possibly mixed integer programming, Strong programming skills, in at least some of C/C++, Python, Julia, Matlab, Strong teamwork, communication, listening and teaching skills. Seniority of the candidate will be considered to determine the position level. Interested parties must submit a cover letter and an up to one-page statement of research interests.

About Us TravelPerk is a hyper-growth SaaS business travel platform and a pioneer in the future of travel for work. Its all-in-one platform gives travelers the freedom they want whilst providing companies with the control they need. The result saves time, money, and hassle for everyone. TravelPerk has industry-leading travel inventory alongside powerful management features, 24/7 customer support, state-of-the-art technology, and consumer-grade design. Founded in 2015 and headquartered in Barcelona, we've grown to over 1,400 people across Europe and North America. In 2022 we became a 'unicorn' and in 2025 we raised $200 million in a Series E funding round, increasing our valuation of $2.7 billion . We've been winning awards too. Since 2023, we've been voted one of the best places to work , one of thefastest-growing apps and tech companies , and a leading pioneer of business travel. These are just some of the reasons why global brands like Wise, Red Bull, GetYourGuide, and Aesop trust us to get the most out of their travel. Hear more about TravelPerk. About the role As our Senior Director of Data, you'll step into one of the most critical leadership roles at TravelPerk. We've recently restructured our central data function to better support the business, and now we're looking for the right person to lead it into its next chapter. Reporting to our SVP of Engineering, you'll take ownership of a 30-person team across product analytics, business analytics and data foundations. With seven direct reports and a scope that spans everything from Customer Care and Finance to Product and Marketing, this role will have a company-wide impact. Your mission is to transform how we use data at TravelPerk. That means moving from reactive reporting to proactive insight, and from siloed support to a true strategic partner. You'll shape the vision, lead the delivery, and build the foundations we need to make data one of our most valuable assets. This is a role for a hands-on data leader who thrives in fast-paced environments and knows how to build high-performing teams. You'll work closely with senior leaders across the business and help define how we grow, how we make decisions, and how we scale for the future. What you'll do Set the direction for data at TravelPerk You'll own and evolve the strategic vision for data across the business, ensuring it grows in step with company priorities and product expansion. Lead our central data organisation You'll manage a team of around 30 people through seven direct reports, leading across three core areas: Product Analytics (Marketplace, Control & Expense) Business Analytics (Customer Care, Finance, GTM) Data Foundations (Engineering, Governance, and Data Quality) Champion a squad-aligned way of working You'll lead the shift from discipline-based work to squad-based delivery, ensuring clear ownership, business alignment and strong delivery focus. Represent data at the leadership level You'll be the senior voice for data across the company, working closely with leaders in Product, Engineering, Finance, Marketing and Operations to align on shared goals. Level up our infrastructure and governance You'll drive maturity across our data tooling, documentation and governance practices, helping us scale efficiently and safely. Build a culture of accountability and impact You'll foster a strong and inclusive team culture where clarity, autonomy, experimentation and measurable outcomes are core to how the team operates. Develop talent and scale the team You'll coach, support and grow your direct reports while hiring new talent as the function evolves. Measure and drive business value You'll define and track KPIs to monitor the effectiveness, quality and impact of data work across all squads and domains. Support AI and advanced analytics You'll partner with our AI and data science teams to integrate machine learning and advanced analytics where it creates real leverage for the business. Lead on data architecture, privacy and compliance You'll provide thought leadership and oversight on critical areas like data architecture, governance, GDPR compliance and ethical use of data. What success looks like You'll have built a high-performing, trusted data team that delivers measurable value across the business. TravelPerk will be using data not just for reporting, but to shape decisions, inform strategy, and improve how we work. The team will be operating with clear priorities, solid infrastructure, and a strong sense of ownership. You'll be a respected and influential leader, helping shape both how we grow and how we work together. What you'll bring Experience leading central data teams in high-growth tech or SaaS environments at Director or VP level Proven ability to manage and scale teams of 20 or more, including coaching senior managers and hiring high-performing talent A strong track record of building trusted partnerships across Product, Engineering, Finance and Operations Experience working in or transitioning to a matrixed or squad-based organisational model Technical fluency with modern data stacks and tools such as dbt, Snowflake, Airflow, and Looker or Tableau Deep understanding of data privacy, governance and compliance, including GDPR Excellent communication skills, with the ability to influence at senior levels and drive alignment across teams A strategic mindset with the ability to move seamlessly between high-level thinking and hands-on delivery Our Benefits A competitive compensation package, including equity in TravelPerk; Generous vacation days so you can rest and recharge; Health perks such as private healthcare or gym allowance, depending on your location; Unforgettable TravelPerk events; A mental health support tool for your wellbeing; Exponential growth & personal development opportunities. VolunteerPerk - 16 paid hours per year to volunteer for a cause of your choice. "Work from anywhere" in the world allowance of 20 working days per year. IRL English or Spanish Lessons are held in the Barcelona office. How we work Our Vision is for a world where TravelPerk is the platform for human connection in real life (IRL). We take an IRL-first approach to work, where our team works together in person 3 days a week . For roles in Customer Care, this can be up to 5 days per week in the office. As such, this role requires you to be within commuting distance of our hubs . We fundamentally believe in meeting in real life to improve connectivity, productivity, and creativity, ultimately making us a great workplace. At TravelPerk, we prioritize experience and potential over academic qualifications for this role. We believe that talent and ability aren't always reflected in formal credentials. TravelPerk is a global company with a diverse customer base-and we want to ensure that the people behind our product reflect that. We're an equal opportunity employer, meaning you're welcome at TravelPerk regardless of your appearance, where you're from, or anything else that makes you. All official communication from TravelPerk comes from email addresses, our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask candidates to pay for equipment or make any kind of payment during the hiring process. If you receive an unexpected message claiming to be from TravelPerk and asking you to take action, please forward it to and we'll confirm whether it's legitimate.

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 3-8+ years of data science/quantitative modeling experience Proficiency in SQL and a computing language such as Python or R Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation Experience in working with cross-functional teams to deliver results Ability to communicate results clearly and a focus on driving impact A demonstrated ability to manage and deliver on multiple projects with a high attention to detail Solid business acumen and experience in synthesizing complex analyses into actionable recommendations A builder's mindset with a willingness to question assumptions and conventional wisdom Preferred qualifications Experience deploying models in production and adjusting model thresholds to improve performance Experience designing, running, and analyzing complex experiments or leveraging causal inference designs Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research) Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. The annual salary range for this role in the primary location is €76,000 - €114,000. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

Moving your career forward Our CEO, Angus spotted that many vans on the roads are half full or empty at any given time and so AnyVan was born in 2009 to create the world's most efficient technology logistics platform and help halve the number of miles driven. We've achieved incredible milestones since then, including securing the largest funding round for a UK tech logistics company from Vitruvian Partners. Today, AnyVan is the largest and fastest-growing company in the logistics space, with big ambitions for the future. We're committed to moving that's miles better and have helped over 8 million customers across the UK, Ireland and Europe (France, Germany, Italy, Spain) and over 150,000 customers have rated us excellent on Trustpilot. By using innovative technology, we're transforming the moving experience, cutting costs and doing our part for the planet to make sure moving doesn't cost the earth. We've saved enough miles to travel 1,185 times around the world, reduce 8520 tonnes of carbon annually and are proud to be the only carbon neutral removals and delivery company in the UK We're looking for passionate individuals to join our talented team of approx. 300 AnyVanners in our London and Cape Town offices. If you're as driven as we are and want to be part of a forward-thinking company to make moving 'miles better' and moving your career forward at the same time - we'd love to hear from you! As part of our Routing and Optimisation team, you'll play a crucial role in helping us deliver industry-leading products and services to our customers and delivery partners, while also reducing our cost to fulfil and minimising environmental impact. What you'll be doing: Bring a strong commercial mindset and apply advanced scientific techniques, analytics, and statistics to solve high-impact decision problems. As a seasoned data or decision science practitioner, you'll design and develop scalable, innovative algorithms and analytical solutions with a clear focus on business value. Collaborate closely with the Head of Routing and Optimisation, as well as engineering and product leaders, to conceptualise and deliver end-to-end solutions using heuristics, machine learning, and optimisation techniques. Work alongside, guide, and mentor both senior and junior data scientists to develop production-ready solutions, contributing hands-on where needed to write and deploy high-quality code. Partner with product and tech stakeholders to bring these solutions to life, ensuring they are scalable, sustainable, and commercially effective. Define key KPIs for each solution and take responsibility for tracking their performance post-launch to ensure they deliver measurable impact. Through your technical leadership and commercial focus, you'll drive meaningful outcomes while maintaining a bias toward simplicity and speed. What you'll need to succeed: A masters or PhD in Operations Research, Computer Science, Applied Mathematics, Machine Learning, Statistics or related algorithmic fields Proven experience developing optimisation or machine learning solutions in fast-paced logistics marketplaces or top-tier management consulting firms focused on logistics A commercial mindset - driven by business impact, not perfection. You find simple, scalable solutions that solve 80% of the problem quickly rather than chasing complex, unnecessary models Passion to drive end-to-end value creation - from shaping the problem to deploying usable solutions and measuring their impact Ability to work with ambiguity and bring clarity; you're comfortable creating structure where there is none Deep understanding of techniques such as mixed-integer programming, heuristics/metaheuristics, approximate algorithms, constraint programming, and machine learning (incl. deep learning) - and you know when not to use them Hands-on experience in domains such as procurement planning, pricing, revenue management, routing, and forecasting Strong SQL and programming ability (Python essential; Java/C++ a plus) Excellent communication skills (written and verbal) - you can explain complex ideas in simple terms, and push back on over-complication when needed Passion for data science, optimisation, and the logistics marketplace Working knowledge of agile methodologies and experience working in fast-moving cross-functional teams A bias to action - you value progress over perfection and can move quickly to deliver value Based in the UK, happy to commute to our Hammersmith office at least 3 days a week Perks of the job: A great base salary that reflects your value Take a Break: 25 days of holiday plus public holidays, Christmas Eve on us and Long Term Service perks capped at 30days Keeping you healthy: In house gym, the opportunity to join Vitality with a hole host of wellbeing benefits and medical cover and enhanced sick pay Prepare for the future: The People's Pension with 5% employee and 3% employer contributions Family leave: enhanced maternity pay Travel: We're 2 mins walk from the tube, partner with Octopus Electric Vehicles and Evans Cycle to Work scheme, and have showers and towels if you cycle! Keeping you refreshed: Enjoy an in-house barista and free breakfast every day Social Scene: Thursday drinks and regular social activities Celebrating Success: 1/4 performance awards with prizes and an annual performance awards - last years winner enjoyed a 4 day all expenses paid trip to the French alps! Skills Booster: Opportunity to join a disruptive Technology Leader and be part of a fast-growing, innovative company reshaping the industry Our company values are: Have fun, get it done (work hard play hard, satisfaction in results, do the right thing) Progress over perfection (Innovate and disrupt, Curious and adaptable, Work quick, learn quicker) One team thinking big (Collaborate and communicate, Celebrate wins, Embrace challenges) DE&I We are committed to building an inclusive and diverse workplace where every voice is heard, every perspective is valued, and every individual has the opportunity to thrive. We welcome applicants from all backgrounds to be part of our mission and contribute to our vibrant culture.

The role: We are seeking a highly skilled Senior Data Scientist to join our team. Reporting into the Data Delivery Lead, you will be responsible for analysing and interpreting data from a variety of sources to support our clients decision-making processes. The Data team within Prevail underpins all our mission focused teams. No two days are the same, and the real-world problems that we seek to solve are complicated. Our ideal candidate will have exceptional analytical skills, with the ability to navigate through complex datasets to turn ambiguous requests into meaningful insights. These are the key things that you will be responsible for within the Senior Data Scientist role. There will be activities and tasks in addition to this list that are expected, but the majority of your time will be: Analysing and evaluating intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Utilise advanced analytical techniques and tools to assess the reliability, accuracy, and relevance of intelligence information. Develop and maintain databases, data models, and analytical frameworks to facilitate efficient data analysis and retrieval. Collaborate with intelligence and security professionals across the company to understand requirements and priorities. Prepare and deliver reports, briefings, and presentations to communicate analytical findings to stakeholders effectively. Monitor and assess emerging threats, developments, and geopolitical events to support intelligence assessments and forecasting. Collaborate with cross functional teams to advocate for high-quality data solutions. Mentor more junior members of the team You: Essential Criteria: Proven experience working as a Data Scientist in a relevant field Proficiency in data analysis, data mining, and statistical techniques. Detail-oriented and capable of working with large data sets and attention to accuracy and completeness. Proficiency utilising Python or R (5+ years' experience) Familiarity with conventional statistical models (linear/logistic regression, t-tests, ANOVA) Experience in collecting, organising, and analysing data from diverse sources. Strong analytical thinking, problem-solving, and critical reasoning skills. Excellent written and verbal communication skills, with the ability to convey complex information clearly and concisely. Ability to work independently and as part of a team, managing multiple priorities and meeting deadlines. Ability to attain a UK Security Clearance (5+ years residing in the UK) Highly desirable: Experienced in writing reports or academic articles, presenting at conferences, and visual data storytelling. Familiar with AWS, SQL and Tableau. A background in intelligence or quantitative social sciences. Proficient in experimental design principles. Experience in big data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version control tools like GitHub. Familiar with building machine learning pipelines and basic engineering principles. Familiar with machine learning techniques (e.g. Random Forest and LGBM). Us: Prevail Partners delivers high quality intelligence, research and consultancy services to clients ranging from governments and multinational corporations to non-governmental organisations. These services are delivered predominantly across Europe, the Middle East and Africa. We pride ourselves on selecting interesting projects which we believe can genuinely make a difference. You will be joining the company at a time of continued growth, and will be required to support a wide variety of these projects across the whole company. What we offer here at Prevail: Competitive salary, salary sacrifice pension, access to onsite gym facilities, enhanced leave polices, and private healthcare after two years at Prevail.

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. What you'll be doing: As a data scientist, fundamentally your role is to help customers solve their problems using data science and AI; this involves applying a variety of techniques, ranging from simple data analysis to designing and implementing bespoke machine learning algorithms. We have previously worked on a multitude of different technical solutions for our clients, using Bayesian hierarchical modelling to develop an early warning system for the NHS during the COVID-19 pandemic , modelling 3D point cloud data to identify and measure assets for Network Rail , and using NLP to identify topics in market research . Prior knowledge of these techniques is not a prerequisite as we are looking for both experienced candidates and those who want to learn. We anticipate that with our support, you could become an expert in one of these areas even if you don't yet have much hands-on experience. Additionally, your contribution won't be limited to your technical skills. Using practical and business sense, you will help our excellent commercial team build lasting relationships with our customers, shaping the direction of both current and future projects. As we are a growing business, we need people who take initiative. You will take on more responsibility from day one than you would expect in comparable roles elsewhere, whilst in turn benefitting from the support and mentorship of our more seasoned team members. Data scientists at Faculty take pride in: Solving problems with the best data-science techniques and the scientific method Communicating technical content at the right level both internally and to customers. Fostering a collaborative work environment, sharing knowledge, and bringing the best out of everyone in the team. Seeking out innovative ways to help Faculty grow, for example, by developing shared technical and non-technical resources. Who we are looking for: Experience from quantitative academic research (e.g. STEM PhD), professional data-science positions, or a combination of the two. Programming experience as evidenced by earlier work in data science, academic research or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe. The ability to reason mathematically and an understanding of common statistical tests and/or probability. Experience using common machine learning algorithms as evidenced by previous work or side projects, with the ability to think creatively when an innovative solution is necessary. Experience of manipulating data using the standard libraries for data science (e.g. NumPy, Pandas, Scikit-Learn or equivalents in other programming languages). An appreciation for the scientific method as applied to the commercial world; the ability to turn client requests into problems that can be solved using data science; resourcefulness in overcoming difficulties through creativity, commitment and collaboration; and an inquisitive and questioning mindset in evaluating the performance and impact of models upon deployment. An interest in working alongside our customers and to learn about the commercial aspects of the job. Effective verbal and written communication - you should be comfortable with presenting your work in front of customers. The ability to follow a project plan and stick to deadlines, as well as proactively solve problems that emerge. The following would be a bonus, but are by no means required: Prior commercial experience, particularly if this involved customer-facing work or project management. Research experience (PhD or Postdoc) as evidenced by academic publications and conference talks. Working knowledge of any of following ML domains: NLP, Bayesian inference, computer vision, deep learning, causal modelling, AI safety Experience creating web apps using e.g. Dash, Flask, React.js Familiarity with MLOps including deployment, monitoring and scalability tooling. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

Career Opportunities with Mitsubishi Electric Research Laboratories A great place to work. Current job opportunities are posted here as they become available. Staff - Research Scientist - Control for Autonomous Systems Mitsubishi Electric Research Laboratories (MERL), the US research organization of Mitsubishi Electric Corporation, is looking for a talented researcher to join the Control for Autonomy Team . MERL conducts fundamental research motivated by real-world problems, and then applies the results to demonstrate the solutions of such problems. MERL encourages publishing and presenting research results, and collaborating with academia and the scientific community. The Control for Autonomy Team focuses on planning, control and estimation for autonomous systems leveraging novel fundamental research in control theory, optimization, estimation and machine learning. The research areas for the open position include, but are not limited to, design with guarantees and analysis of machine learning-based controllers, perception (e.g., vision, point-cloud, ) based planning and control, control for human-in-the-loop and human-machine interaction, real-time optimization algorithms, statistical learning and estimation, and constrained control. Candidates at any career stage are considered, with title and role adjusted based on prior experience. Responsibilities for this position include: Conduct innovative fundamental research in the areas of control and planning for autonomous systems, and apply the research results in relevant domains. Validate the research results by simulations and possibly experiments with prototypes/lab equipment. Publish results in leading technical journals and conferences, and support drafting patent applications. Support technology transfer to partner organizations such as advanced engineering and product development labs. Define new long-term research directions and propose and lead research projects. Qualifications for this position are: Ph.D. from an internationally recognized institution in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science or Applied Mathematics or other relevant fields, with a focus on control theory and/or machine learning. Strong programming skills in at least one of Python, Matlab, C/C++, Julia. Basic knowledge or interest in real-time/embedded systems programming is a plus, but not required. Interest in experimental validation of research results, e.g., with drones, small ground robots, legged robots. Prior experience in experimental validation is a plus, but not required. Teamwork, communication (oral, and written) and presentation skills. PRINCIPALS ONLY. No phone calls please. Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

We in the Machine Learning product area in the Activation, Retention, Conversion studio are focused on building robust and scalable machine learning solutions that can personalize activation, retention and conversion funnels to improve important business metrics like SUBS and MAU. Through our messaging platform as well as other discovery & conversion surfaces, we communicate with users to connect them with valuable audio content and to help the business grow. We are looking for a passionate Junior Machine Learning Engineer to help us accomplish our mission: enable impactful ML optimisation opportunities in new domains (Awareness & Acquisition, Commerce & Customer Support, Free & Paid Products) and bootstrap the GenAI Strategy of the Subscriptions Mission. What You'll Do Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users Help drive optimisation, testing, and tooling to improve quality Be part of an active group of machine learning practitioners in your mission and across Spotify You'll work on projects like; optimising the ad load time and features usage friction for free users to balance retention and conversion, and developing GenAI prototypes with our partner squads Who You Are You have at least 2 years of experience in applied Machine Learning Engineering You have a strong background in machine learning, theory, and practice You are comfortable explaining the intuition and assumptions behind ML concepts You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages Experience with Pytorch and TensorFlow is also a plus You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models You preferably have experience with cloud platforms like GCP or AWS You care about agile software processes, data development, reliability, and focused experimentation You have a desire to drive business impact Where You'll Be This role is based in London, UK or Stockholm, Sweden We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week. Learn about life at Spotify Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service. Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Engineering Manager, Customer Service Platform

Career Opportunities with Mitsubishi Electric Research Laboratories A great place to work. Current job opportunities are posted here as they become available. Staff - Research Scientist - Control & Learning Mitsubishi Electric Research Laboratories (MERL), the US subsidiary of the corporate research & development (CR&D) organization of Mitsubishi Electric Corporation, invites qualified candidates to apply for the position of Research Scientist to join the Electric Systems Automation team. Aiming to be a premiere research laboratory and the prime source of technology for Mitsubishi Electric Corporation in our areas of expertise, MERL conducts application-motivated research and development that advances the frontiers of technology and makes lasting impacts on the world. MERL supports and encourages publishing and presenting research results in top international conferences and peer-reviewed journals, collaborating with university professors and students, and maintaining an influential presence in the academic community. Our team conducts fundamental research and development to solve challenging industrial problems in the quest for smart factory and electrification, including, but not limited to, multi-physics modeling, simulation and system optimization, fault diagnosis, and optimal & learning control. We are seeking a candidate who can complement and expand the expertise of our team in the intersection of machine learning/AI, optimization, and control. Responsibilities for this position include: Conducting original research aiming to advance the state-of-the-art in control & learning theory for the potential application to industrial process planning, process optimization, factory automation systems, Publishing results in leading technical journals, conferences, and in patent applications, Partnering with CR&D, business units, and academic groups in the execution of projects, Transferring results and technology to CR&D laboratories, and business units. Drafting project proposals with long-term research goals and leading research projects. Qualifications for this position are: Ph.D. from an internationally recognized institution in Electrical Engineering, Mechanical Engineering, Computer Science, or other relevant fields, Strong publication record demonstrating innovative research achievements, Experience with real-world applications and strong depth in control & learning, and Strong teamwork, communication, writing, presentation, and leadership skills. PRINCIPALS ONLY. No phone calls please. Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

Select how often (in days) to receive an alert: Create Alert Segment: Danfoss Power Solutions Segment Job Function: Finance & Accounting Work Location Type: On-site Job Description Danfoss is proud to be at the forefront of driving a global transformation indigital and electric solutions that increase productivity and energy efficiency. We are truly passionate about investment, and innovation, as we continue to support our customers' journey towards a greener and lower-carbon future. We are now seeking to recruit a Purchasing Administrator to be based at our site in Edinburgh, UK. The Purchasing Administrator will play a leading role in general administration related to ordering, goods incoming, vendor creation and management, and supporting production planning across the Edinburgh site. Job Responsibilities Ordering Administation: • Purchase Orders (standard and framework) - raising, amending and deleting (SAP SRP) • Purchase Orders for Direct production parts • Monitoring blocked invoices for purchase orders (manual release & weekly reports) • Monitoring open orders (weekly reports) • Resolving issues from monthly Aggregation Reports (open POs vs Invoicing) • Posting invoices for existing POs (SAP Workflow) • Creating Purchase Req. Forms and monitoring Purchase Req. Register entries • Initiating BACS payments (gathering necessary info & approvals) Goods Incoming: • Receiving incoming goods (MIGO) • Material Movements (MB11) • Creating and amending Material Master for production parts (SAP MRP & Storage views) Supporting Production Planning: • Raising Production Orders (based on demand; production order confirmation & Teco) • Picking, Packing and Shipping finished goods to customer (SAP) • Monitoring new orders from customers in Order Book • Resolving good movement errors from production (COGI) Vendor Creation & Management • Setting up new vendor records, amending data and payment terms, vendors deletion MDG, IVMS, Fiori • Negotiating payment terms with suppliers • Liaising with Category Managers Miscellaneous • Approving SAP GRC access for a new users The ideal candidate possesses these skills: Bachelor's Degree in Supply Chain & Operations Management or related field. Demonstrable experience in supply chain and procurement modules in SAP. APICS certification or commitment to attain. Passionate about learning and to continuously improve skills. Organized and process oriented. Professional and outstanding communication skills in all aspects and situations especially, when dealing with customers, suppliers and co-workers. At Danfoss, we believe that a diverse and inclusive workplace fosters creativity, innovation, and a broader perspective in decision-making. When you consider this job posting, do you feel like your profile is not a perfect match? Numerous studies have found that women and people of color are more likely to apply only when they meet all requirements listed in the job posting. Even if you do not check all the boxes, we encourage you to apply anyway. We are curious to find out how you can bring new insights to the role or to Danfoss as an organization. Employee Benefits We are excited to offer you the following benefits with your employment: Bonus system Paid vacation Possibility to work remotely Pension plan Personal insurance Communication package Opportunity to join Employee Resource Groups State of the art virtual work environment Employee Referral Program This list does not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice. Danfoss - Engineering Tomorrow At Danfoss, we are engineering solutions that allow the world to use resources in smarter ways - driving the sustainable transformation of tomorrow. No transformation has ever been started without a group of passionate, dedicated and empowered people. We believe that innovation and great results are driven by the right mix of people with diverse backgrounds, personalities, skills, and perspectives, reflecting the world in which we do business. To make sure the mix of people works, we strive to create an inclusive work environment where people of all backgrounds are treated equally, respected, and valued for who they are. It is a strong priority within Danfoss to improve the health, working environment and safety of our employees. Following our founder's mindset "action speaks louder than words", we set ourselves ambitious targets to protect the environment by embarking on a plan to become CO2 neutral latest by 2030. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category. Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification. Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities. Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than 39.000people, serving customers in more than 100 countries through a global footprint of 95 factories.