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Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Reasons to work here Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+, Hulu, ESPN, ABC, ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Job Summary: Disney Media Systems Engineers have a clear charter: to transform the capability and flexibility of how Disney acquires, produces, and distributes content worldwide, all while ensuring the highest levels of quality, efficiency, and resiliency. Disney Media Systems Engineers are subject matter experts on complex and multifaceted disciplines which require a deep knowledge of hardware and software based technologies. Individuals in these roles must possess a comprehensive theoretical and practical understanding of the technology that powers the generation, monetization, and distribution of all forms of consumer facing linear and digital video/audio content. The team is responsible for the oversight of numerous systems such as Playout Technology, Studios, Production Control Rooms, Remote Production, Post Production, Contribution/Distribution Systems, Networking, Cloud Compute, Production Software and Virtual Environment and more. The Sr Manager Media Systems Engineer acts as a technical leader and is responsible for working with engineers to architect solutions to business/stakeholder requests. This individual will also work closely with management, Executive Leadership, and key stakeholders to gather infrastructure requirements and holds the accountability for influencing the advancement of Disney's technical posture and approach. This includes being accountable for the strategy and implementation of our core technology, as well as defining and directing the strategic vision and roadmap for the technological framework across key locations. The Sr Manager Media Systems Engineer will work with vendors and industry trade organizations to define and evolve industry standards that impact our business. The Sr Manager Media Solutions Engineer will work collaboratively with engineers and architects to lead all aspects of the design and building of Disney's most impactful projects and will leverage their experience to create policies, procedures, and standards that drive all our technological development. Responsibilities: Lead a team of engineers to modernize Disney legacy media production infrastructure systems through the identification of new technological innovations and advancements within the industry. (e.g., SMPTE ST 2110, 4K, UHD, HDR, JPEG XS, NDI, ProRes Raw, H.265, AV1, metadata conversion, audio mapping, system outages, microservices architecture tuning, and related technical problems.) Own, lead and manage the planning and executing of on prem and cloud based broadcast production and infrastructure projects that support conditioning, monitoring, routing infrastructure and distribution between and throughout all facilities for content ingest and network distribution (linear, digital, and streaming platforms). Direct, manage a team of senior engineers to architect, design, document and implement media technology environments and construction of facilities aligned with industry standards for innovation, enabling DE&E Technology to acquire, produce, store, stream, and distribute content across all infrastructure. Lead and work closely with engineering services and operations management and various internal teams to gather requirements and develop broad scale solutions based on broadcast facility needs and production workflows. Implement new cutting edge technologies, define areas of innovation opportunity, and drive the overall investigative strategy to bring synergy and efficiency across Disney facilities and the overall broadcast ecosystem. Partner with Portfolio and finance teams on project capital planning and forecasting, estimations, dependencies, business value/justification, synergy, and prioritization of work. Develop project plans and schedules. Basic Qualifications Bachelor's or Master's degree in Electrical Engineering, Computer Science, or comparable field of study, and/or equivalent work experience. Minimum of 8 years of related work experience. Strong understanding of baseband/IP video, audio and digital compression, transport systems, audio/video encoding/transcoding techniques, transfer acceleration systems, and formats. Preferred Qualifications Minimum of 8 years of demonstrated and relevant experience in leading others, managing on air broadcast facilities, developing technical strategies ensuring efficient design/build, uptime, and overall stability of the technical environments of live media production and distribution. Proficient with technologies such as microservices, DevOps tools, design principles, practices, standards, and guidelines. Expert knowledge and experience with on prem and cloud based storage and compute infrastructure platforms and current technological offerings (virtual machines, Docker containers). File based workflows such as enterprise Media Asset Management systems (cloud based or local network based) including storage, compute, encode, and distribution. Proficient with software development, scripting, and integration with 3rd party services via API. Experience with Java, servlets, web applications, Oracle SQL (PL/SQL), and MySQL preferred. Expert level knowledge of compression techniques such as MPEG 2/4, HEVC, JPEG 2000, and JPEG XS. Working knowledge of DNS, DHCP, TCP/IP, HTTP, UDP, SSL, and SNMP. Proficiency in AutoCAD. Expert knowledge in standards for broadcast television and video production/streaming environments with current certifications (e.g., ST 292M, ST 424M, ST 2110, ST 2059, IEE 1588, ST 2022 7, SCTE 104, NMOS IS 04/05, etc.). Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

CULTIVATE A BETTER WORLD Food served fast does not have to be a typical fast food experience. Chipotle has always done things differently, both in and out of our restaurants. We are changing the face of fast food, starting conversations, and directly supporting efforts to shift the future of farming and food. We hope you will join us as we continue to learn, evolve, and shape what comes next on our mission to make better food accessible to everyone. THE OPPORTUNITY Chipotle is building a modern, enterprise grade Data Science organization focused on reliability, governance, and the delivery of high impact machine learning solutions. As Senior Manager, Data Science, you will lead a team of data scientists and/or analytics engineers responsible for developing, deploying, and operationalizing production ML models that improve decision making across Digital, Restaurant Operations, Supply Chain, Finance, Marketing, and the broader enterprise. You will partner closely across Data Engineering, BI Engineering, Product & Technology, and business teams to define model development standards, experimentation frameworks, and operational practices that ensure long term model reliability and transparency. This role will also play a key part in supporting Chipotle's Data Science and AI vision and roadmap by helping evaluate emerging capabilities, aligning ML efforts with platform strategy, and advancing responsible, strategic adoption of AI technologies. This is a hands on leadership role that translates data science strategy into reliable, scalable solutions that power the business every day. LOCATION This position will be based in our Newport Beach, CA office 4 days per week (with work from home on Friday). Remote work is not available for this role. WHAT YOU'LL DO Leadership & Strategy: Lead, mentor, and grow a high performing Data Science team of data scientists and/or analytics engineers. Partner with the Director of Analytics Engineering to build and execute Chipotle's Data Science strategy, roadmap, operating model, and AI enablement goals. Support the development and adoption of frameworks, guidelines, and capabilities that enhance Chipotle's readiness for scalable AI integration. Define and enforce modern data science, analytics engineering, and MLOps best practices. Establish standardized frameworks for experimentation, causal inference, model validation, and success measurement. Promote a culture of documentation, peer review, testing, and operational excellence. Data Science, MLOps & AI Execution: Own the complete ML lifecycle-from problem framing through data sourcing, modeling, deployment, monitoring, and continuous improvement. Build, manage, and maintain reliable feature pipelines and ML workflows. Deploy production ML models and implement observability for drift, data quality, concept changes, bias, performance, and SLAs. Ensure reproducibility through versioning, testing, documentation, and proper model lineage. Modernize Chipotle's data science capabilities by exploring and evaluating emerging technologies and future platform capabilities, including potential expansion into cloud native ML platforms. Support Chipotle's AI enablement efforts by helping evaluate emerging AI capabilities and potential applications. Ensure all ML products follow governance, risk, security, and explainability expectations. Cross Functional Collaboration: Partner with Digital, Marketing, Restaurant Operations, Finance, Supply Chain, Product, and other business teams to identify and prioritize high value ML opportunities. Collaborate with engineering teams to design production ready ML solutions based on enterprise platform strategy. Partner with the Data Engineering team to strengthen Data Science owned transformations and ensure high quality, reliable data pipelines. Contribute to platform modernization efforts by helping define when Data Science should use specific data transformation patterns or workflows in alignment with the broader platform strategy. Translate business needs into statistical, machine learning, causal inference, or optimization solutions. Collaborate with BI Engineering to align KPIs, metrics, and logic between analytics output and ML driven insights. Communicate insights, model performance, risks, and decisions clearly to executive, technical, and operational audiences. Build trust and adoption of ML based solutions across the business through strong storytelling, clarity, and measurable outcomes. WHAT YOU'LL BRING TO THE TABLE Required: 8+ years of experience in data science, machine learning, predictive modeling, recommendation systems, or advanced analytics. 3+ years managing or leading data scientists and/or analytics engineers. Hands on proficiency in Python, SQL, and modern ML frameworks. Experience deploying and maintaining enterprise grade production ML models. Strong experience with model lifecycle management, monitoring, versioning, and reproducibility. Experience with experimentation frameworks (A/B testing, uplift modeling, causal inference). Familiarity with modern data governance/cataloging systems such as Unity Catalog and/or Snowflake Horizon. Experience with feature store technologies. Strong communication, executive storytelling, and cross functional partnership skills. Preferred: Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, Economics, etc.) or equivalent work experience. Master's or PhD in a quantitative field. Experience with generative AI, embeddings, LLM prompting, or retrieval augmented approaches. Experience with vector search technologies. Experience applying responsible AI practices (fairness, explainability, risk mitigation). Experience with DBT or similar data transformation frameworks. Experience with real time or event driven ML patterns. Experience in retail, restaurant, QSR, or consumer analytics. PAY TRANSPARENCY A reasonable estimate of the current base pay range for this position is $147,000.00-$217,500.00. You are also eligible for annual cash bonuses and equity awards based upon performance and other factors. Actual compensation offered may vary depending on skill level, experience, and/or education. Chipotle offers a competitive total rewards package, which includes medical, dental, and vision insurance, 401k, sick leave, vacation time, and much more. Visit for more details. WHO WE ARE Chipotle Mexican Grill, Inc. (NYSE: CMG) is cultivating a better world by serving responsibly sourced, classically cooked, real food with wholesome ingredients without artificial colors, flavors or preservatives. Chipotle has restaurants in the United States, Canada, the United Kingdom, France and Germany and is the only restaurant company of its size that owns and operates all its restaurants in North America and Europe. With employees passionate about providing a great guest experience, Chipotle is a longtime leader and innovator in the food industry. Chipotle is committed to making its food more accessible to everyone while continuing to be a brand with a demonstrated purpose as it leads the way in digital, technology and sustainable business practices. For more information or to place an order online, visit . Chipotle Mexican Grill is an equal opportunity employer that values diversity at all levels. As a people first company rooted in values, our purpose extends beyond serving nutritious food using real ingredients. It means hiring world class individuals and fostering a culture that champions diversity, ensures equity, and celebrates inclusion. All qualified applicants, regardless of personal characteristics, are encouraged to apply. Qualified applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. Please contact if you need an accommodation due to a disability to complete an application, job interview, and/or to otherwise participate in the hiring process. This e mail does not respond to non accommodations related requests.

About ElevenLabs ElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education. We launched in January 2023 with the first AI model to cross the threshold of human like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years. Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound. Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models. We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you. How we work High velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co working: If you're not located near one of our main hubs, we offer a monthly co working stipend. About the role We're looking for a Data Scientist focused on product growth to uncover and drive the insights that accelerate activation, retention, and revenue growth across our Creative Platform - the suite powering millions of creators and marketers. You'll partner deeply with the product and engineering teams to understand how users engage, where they drop off, and which experiences create long term value. You'll define and instrument metrics that measure the health of the creator journey, identify growth levers, and help us prioritize features and experiments that expand engagement and monetization. This is a hands on, high impact role for someone who blends data science rigor with product intuition - a builder who thrives in ambiguity and wants their analysis to directly shape the roadmap. Requirements Expertise in product analytics, with a strong foundation in SQL and python and familiarity with analytics tools across the data stack Strong product sense with an ability to put yourself in the shoes of our users and derive actionable insights from qualitative and quantitative data A deep understanding of key product metrics such as retention, activation, and LTV Proven ability to design and analyze A/B tests, ensuring statistical integrity and actionable results Not afraid to get your hands dirty to get the job done, whether it's implementing your own telemetry, diving into the codebase to debug an issue with logging, or implementing new tools as our data stack evolves Bonus: experience building data pipelines and dashboards Location This role is remote first, so it can be executed from anywhere from US east to Europe. If you prefer, you can work from our offices in Dublin, London, New York, and Warsaw.

Senior Machine Learning Scientist (Viator) London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role offers flexibility, allowing you to work either on-site hybrid or remotely from the UK, Poland, or Portugal. Occasional travel to company offices may be required If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf

Your work will change lives. Including your own. The Impact You'll Make At Recursion, we are reimagining drug discovery. As a Senior or Staff Product Manager, you will take ownership of our molecular design platform. You will be at the center of our Design Make Test Learn (DMTL) loop, creating the tools that empower our scientists to design novel, high quality drug candidates with unparalleled speed and precision. Your work will directly accelerate our portfolio, drive our partnerships, and contribute to our mission of decoding biology to radically improve lives. In this role, you will: Own the Vision: Develop and champion a compelling product vision and strategic roadmap for our molecular design platform, aligning scientific needs with Recursion's mission to industrialize drug discovery. Be the Customer's Voice: Act as the vital bridge between our scientists (your customers) and our technical teams. You will be deeply embedded with medicinal and computational chemists to understand their challenges and translate complex scientific requirements into clear, actionable product plans. Drive Execution: Lead a cross functional team of world class cheminformaticians, AI/ML scientists, and engineers to deliver high impact tools, from synthesis aware generative models to advanced physics based simulations. Industrialize Discovery: Be a key driver in our push for industrialization. You will help standardize workflows, eliminate bottlenecks, and build the foundational infrastructure needed for a truly scalable discovery engine. Measure What Matters: Define and analyze metrics for product success, tool adoption, and scientific impact to ensure your team is focused on the most critical priorities for accelerating our drug discovery programs. Communicate and Influence: Articulate strategy and progress to stakeholders at all levels, from individual scientists to the executive leadership team, ensuring alignment and excitement around our shared vision. The Team You'll Join You will be a core member of the Design Workflow team, an interdisciplinary team responsible for the end to end development and operation of our molecular design platform. We are the orchestration engine for the Hit to Lead (H2L) and Lead Optimization (LO) phases of drug discovery. Our team embodies a "Build & Operate" philosophy, intentionally integrating the development of the Recursion OS with its direct application in advancing our portfolio. The Experience You'll Need 3+ years (Senior) or 5+ years (Staff) of product management experience, with a proven track record of launching and iterating on complex, technical products. Deep experience with products that have a significant AI/ML or data science component. You are comfortable with the nuances of building, deploying, and improving machine learning systems. A demonstrated ability to apply customer centric product principles, whether in an external facing role or by successfully treating internal users as customers. You are passionate about user research and feedback driven development. Exceptional systems thinking skills; you can deconstruct complex scientific and technical workflows, identify key leverage points, and design elegant, scalable solutions. Outstanding communication and influencing skills, with the ability to build strong relationships and align cross functional teams across scientific and technical domains. Bonus: A degree or equivalent work experience in chemistry, computational biology, bioinformatics, or a related scientific field. Working Location & Compensation: This is an office based, hybrid position at either our London or Milton Park office located in London or Oxford, England. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 to £116,100 (GBP). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. 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 any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. About the team you'll join As Principal Computational Chemist, you'll lead the development of cutting-edge computational chemistry pipelines within Aq's Drug Discovery Platform. Collaborating with computational chemists, AI researchers, and drug discovery experts, you'll integrate innovations to accelerate novel therapeutic discovery. About the Role We are seeking a Principal Computational Chemist, the most senior individual contributor rank at Aqemia. This role is designed for a scientist at the state of the art of their field, with deep expertise and a strong track record of impactful contributions. The Principal Computational Chemist will oversee complex scientific projects, mentor scientists, and actively shape our scientific roadmap. This means you will: Be a Technical Leader - Drive the development of cutting-edge computational chemistry methodologies for molecular modeling and drug discovery. Mentor and Support the Team - Act as a scientific and technical mentor to junior and mid-level researchers, fostering innovation and knowledge-sharing within the team. Bridge Research and Application - Work closely with interdisciplinary teams (computational chemistry, AI and drug discovery experts) to translate computational chemistry research into real-world impact. Your Role Lead research initiatives to develop and apply novel computational chemistry methods to virtual screening, hit optimisation and lead optimisation. Design and implement advanced computational chemistry techniques, including protein ligand complex generation. Collaborate with interdisciplinary teams, including computational chemists, AI Research scientists, physicists, data scientists and medicinal chemists. Mentor and guide junior researchers and engineers, fostering a culture of scientific innovation and excellence. Polite note: this position does not involve manual compound design in Drug Discovery Programs. Your Profile PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or a related field. Extensive experience (10+ years) in computational chemistry and drug discovery including 5 years in the drug discovery industry. Recognised expertise in molecular modeling, complex generation, protein-ligand interactions, free energy calculations, virtual screening, ADME properties and related areas. Strong knowledge of uncertainty quantification and its application in molecular design. Proven ability to deliver impactful scientific contributions at the forefront of the field. Experience mentoring and guiding scientists in a collaborative, high-performance environment. Proficiency in programming (e.g., Python) and experience with industry-standard computational chemistry tools. Strong problem-solving skills, autonomy and a collaborative mindset. Preferred Mindset Pragmatic and Impact-Driven - Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability. Eagerness to Learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise. Love for High Scientific Challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery. Team-Oriented - A collaborative spirit, thriving in an interdisciplinary environment. Humility - Open to feedback and different perspectives, always striving for improvement. Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs. You'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models. Real-World Impact Every feature shipped helps scientists prioritize molecules and design better candidates, faster. Modern Stack & Challenges Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale. High Ownership, High Impact Engineers contribute to architecture, tooling, and scientific decision-making. Interdisciplinary Team Collaborate with chemists, physicists, ML researchers, and product teams. Prime Locations Central Paris or London offices, with 2 remote days/week. Strategic Traction Backed by $100M in funding and a $140M partnership with Sanofi. Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.

A leading travel marketplace is seeking a Senior Machine Learning Scientist to develop and optimize generative AI models. You will research and produce scalable AI pipelines to enhance user experience and product offerings. This role requires over 5 years of data science experience, strong skills in machine learning, and excellent communication abilities. The position is remote or hybrid within the UK, offering competitive benefits and flexibility.

Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth. Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards. Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects. Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives. Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies. Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes. Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals. Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms. Experience Experience in people and/or project management activities. Utilized multiple data science methodologies. Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experienceBS & 7+ years of work experience MS & 6+ years of work experience Excellent communication skills.7+ years of work experience in a data science role Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience Skills and knowledge Demonstrable experience of machine learning techniques and algorithms Experience with statistical techniques and CRISP-DM lifecycle. Production ML Experience: Deployed models that serve real users, ability of scale to million users without incurring technical debt.Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.MLOPS experience with tools such as Drift, Decay, A/B Testing. Integration and Differential testing, python package building, code version etc. Experience with data pipeline creation and working with structured and unstructured data. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred. Excellent problem-solving skills combined with the ability to communicate complex technical concepts to non-technical stakeholders.Ability to mentor team of Data Scientists, Machine Learning Engineers and Data Engineers with strategy making capability.

Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

A growing biotechnology company is seeking a Process Development Scientist to advance the growth of cell and gene therapy. This position focuses on Upstream Processing (USP) and process characterisation for ATMPs (Advanced Therapy Medicinal Products) using innovative Process Analytical Technologies (PAT). The role involves working collaboratively with internal and external stakeholders, managing both commercial and collaborative biomarker discovery, process characterisation, and development projects. Key Responsibilities: Collaborate with cross-functional teams to scope, plan, and deliver USP process characterisation and biomarker discovery projects. Apply knowledge of USP bioprocessing, PAT, and data analysis techniques to drive project success. Provide subject matter expertise in laboratory work, ATMP-related products, processes, and technical report preparation. Lead laboratory activities associated with USP and Biomarker discovery projects, including stock control, experimental design, and compliance with onsite procedures. Support and communicate effectively with internal and external stakeholders to disseminate new USP and PAT capabilities. Produce experimental plans, review data integrity, and ensure adherence to company policies. Present data at conferences and meetings, as appropriate. Plan and execute experiments to meet project deliverables and timelines. Work with technology providers to ensure leadership in USP and PAT technology development. Required Skills: Experience in bioprocessing, particularly upstream processing using STR and other cell culture technologies (e.g., DASbox, BioBLU, ambr250, Univessel). Knowledge of AAV or iPSC culture processes is a plus. Experience with standard analytical assays such as flow cytometry, PCR, metabolite analysis, and cell counting is desirable. Familiarity with statistical tools, method validation, and Design of Experiments (DoE) for experimental design. Experience in integrating PAT technologies into bioprocessing workflows is beneficial. Proficiency in data handling and Microsoft Excel and Word. PhD or BSc with 3+ years of industrial experience in life sciences or bioengineering (or equivalent qualifications). This is a great opportunity to work on cutting-edge technology within the biotechnology sector, with potential for career growth and development.

R&D Scientist - Crop Protection - Southeast England - Salary to £55,000 + Benefits The Job An exciting opportunity has arisen for an R&D Scientist to join a leading, sustainability-focused company in the life sciences sector. This full time, permanent position offers hands on involvement in the research, development, and optimisation of beneficial insects and mites used in biological crop protection. In this role, you will manage key R&D projects aimed at developing new production systems and novel formulations, as well as improving the efficiency, quality, and scalability of existing processes. You will design and run semi field trials, analyse data, and work closely with production and commercial teams to bring innovative, sustainable biological products from concept to commercial implementation. The Company A pioneering and international biosolutions organisation at the forefront of sustainable agriculture, dedicated to developing environmentally responsible alternatives to chemical pesticides. The Candidate A degree in Biology, Agriculture, Entomology, or a related subject Experience with beneficial insects or mites, and an understanding of mass rearing systems R&D trial experience, collecting and analysing data, and reporting results Strong technical and analytical skills with excellent attention to detail Proven ability to manage or contribute to cross functional projects Organised, adaptable, and capable of prioritising multiple objectives The Package Competitive salary up to £55,000, DOE Excellent training and professional development opportunities The chance to work on cutting edge sustainable technologies in a growing sector Please email your CV to Claire Morgan, Global Recruitment Managing Director: .

Launch your Physics teaching career with a highly supportive secondary school in Croydon, partnered exclusively with Ribbons & Reeves. Were seeking an academically exceptional Physics Graduate ready to inspire the next generation. Since 2020, Ribbons & Reeves have helped launch the teaching careers of hundreds of graduates. Join us and start your journey today. Why this role is perfect for aspiring Physics Teachers: Gain exceptional training and hands-on classroom experience from day one Receive 1:1 mentoring and support from outstanding Physics Teachers Learn how to deliver high-impact intervention sessions that boost student progress Build confidence working with GCSE and A-Level topics Improve your ability to explain complex concepts clearly Become a positive role model to young scientists Get fully prepared for Teacher Training from September A perfect stepping stone into a long-term career in teaching Make a genuine difference to students academic outcomes and self-belief Your role will involve: Delivering 1:1 and small-group interventions in Physics Using mock exam data to identify learning gaps Helping students master exam technique, revision skills and key concepts Boosting engagement and enjoyment of Physics Supporting the department in raising attainment across all year groups What were looking for: 1st Class or 2:1 Physics/Engineering degree (Russell Group/Oxbridge preferred) A/A in A-Level Physics (or related) Strong communication skills and a passion for education The Details: Start: ASAP End: July 2026 (end of academic year) Progression: Teacher Training opportunities from September 2026 Ribbons & Reeves are Londons leading education recruiters. We specialise in helping graduates and educators secure long-term and permanent school-based roles, such as this aspiring Physics Teacher position in Croydon. To explore similar opportunities, visit our website and search Ribbons & Reeves. We look forward to supporting your journey into education. Physics Graduate (Croydon) INDHOT JBRP1_UKTJ

Launch your Physics teaching career with a highly supportive secondary school in Croydon, partnered exclusively with Ribbons & Reeves. Were seeking an academically exceptional Physics Graduate ready to inspire the next generation. Since 2020, Ribbons & Reeves have helped launch the teaching careers of hundreds of graduates. Join us and start your journey today. Why this role is perfect for aspiring Physics Teachers: Gain exceptional training and hands-on classroom experience from day one Receive 1:1 mentoring and support from outstanding Physics Teachers Learn how to deliver high-impact intervention sessions that boost student progress Build confidence working with GCSE and A-Level topics Improve your ability to explain complex concepts clearly Become a positive role model to young scientists Get fully prepared for Teacher Training from September A perfect stepping stone into a long-term career in teaching Make a genuine difference to students academic outcomes and self-belief Your role will involve: Delivering 1:1 and small-group interventions in Physics Using mock exam data to identify learning gaps Helping students master exam technique, revision skills and key concepts Boosting engagement and enjoyment of Physics Supporting the department in raising attainment across all year groups What were looking for: 1st Class or 2:1 Physics/Engineering degree (Russell Group/Oxbridge preferred) A/A in A-Level Physics (or related) Strong communication skills and a passion for education The Details: Start: ASAP End: July 2026 (end of academic year) Progression: Teacher Training opportunities from September 2026 Ribbons & Reeves are Londons leading education recruiters. We specialise in helping graduates and educators secure long-term and permanent school-based roles, such as this aspiring Physics Teacher position in Croydon. To explore similar opportunities, visit our website and search Ribbons & Reeves. We look forward to supporting your journey into education. Physics Graduate (Croydon) INDHOT JBRP1_UKTJ

About You You're a jack-of-all-trades with a passion for cool technology and interacting with people and making them happy. You're a self-starter who's good at triaging problems and working on the most important one. You've worked directly with customers for a long time and are comfortable being the face of the company to them. One of the things that pleases you most in life is customers successfully using your product, being thrilled with its value, and telling you they're happy they partnered with you. Further, you're a curious person, and you'd love the opportunity to work with a technology team that includes data scientists, algorithm experts, back-end and front-end engineers to expand your knowledge. About Us Constructor.io powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. About the Position As a Customer Success Manager, you'll be joining a rapidly growing team that helps our customers increase their revenue by improving the search and product discovery experiences of their websites and mobile apps through integrating with our services. Your specific responsibilities will include: Repaying our customers' trust through ensuring they get live with our product and are thrilled with the results Understand the needs and roles within the enterprise organizations we work with and help to manage prioritizations and misalignments. If two people within a customer ask for different things, your team must understand how to prioritize for the success of the organization without hurting feelings Helping craft and dictate both internal and external narratives for what's needed to make a customer successful Effectively asking for and managing engineering time to ensure important work for customers is prioritized and unimportant requests are resolved with minimal to no engineering resources Fielding and troubleshooting customer support requests Creating and updating customer documentation and training materials as needed Always looking for new ways you can make our integration process more robust and make customers feel even more successful A minimum of three years professional experience dealing directly with customers and large organizations in a role within customer success, technical account management, or solutions consulting Excellent communication and interpersonal skills Know what an API is and have interacted with them before Excellent ability to quickly understand the different roles in an organization, focus on the ones most important to a task, and craft clear narrative to get people behind your ideas Ability to convince and motivate those around you to do what you know is right Enjoy interacting with customers and solving new problems daily Ability and desire to learn quickly, think outside the box, and come up with solutions to problem Located in EMEA Preferably fluent in German A competitive compensation package including stock options Fully remote team - choose where you live Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Parental leave for qualified employees Work with smart people who will help you grow and make a meaningful impact Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.