56 jobs found

About the team The Solutions Architecture team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer's industry and to drive these initiatives from prototype to production through hands on technical guidance and partnership. As a Solutions Architect, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models. About the role We are looking for a solutions oriented technical leader to engage with customers post sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organisations to establish GenAI roadmaps, strategies, prioritise high value use cases, and guide projects from early prototyping through enterprise grade production deployments. You will take a holistic view of each customer's architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment. This role is based in our London office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees. In this role, you will: Serve as the primary technical subject matter expert post sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open source resources and enterprise facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types. You'll thrive in this role if you: Have 5+ years of technical consulting, post sales engineering, solutions architecture, or similar experience working directly with customers. Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike. Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations. Possess hands on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept. Take end to end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success. Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike. Thrive in fast paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affrimaitive Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

A leading health tech company in London is looking for a Data Science Lead to head their Predictive Growth Optimization team. This pivotal role will involve developing and implementing machine learning models that significantly influence user acquisition and marketing strategies. The ideal candidate will have over 7 years of applied ML experience and will lead a team of engineers. The firm offers competitive salaries, professional growth opportunities, and meaningful workplace benefits, all aimed at ensuring great health outcomes for users.

Bath, Full-Time Permanent Hybrid Start Date: September 2026 Join EIP as a Trainee Patent Attorney Join EIP as a Trainee Patent Attorney and transform yourpassion for electrical engineering into a rewarding career in patents! From day one, you'll be working directly with clients,gaining real-world experience while being supported by a comprehensive trainingprogramme and a team that shares your drive and ambition. You'll benefit from aclear path to qualification, full support for exams, and the chance tocontribute to high-profile cases involving some of the most advancedtechnologies in the world. About EIP Digital EIP Digital is at the forefront of innovation, workingacross a wide range of technologies - from AI and machine learning toelectronics, semiconductor technologies, telecoms, optics, and applied physics. Since our founding in 2000,technical excellence has been central to our success. Our team is trusted with high-value, complex mattersincluding licensing, technology standards, pre-litigation analysis, andlitigation. Many of our attorneys operate at the intersection of emergingfields such as electronics and health-tech, or AI and drug discovery, makingEIP Digital a truly exciting place to grow your career. What we're looking for We're seeking bright, motivated individuals with a strongacademic background in electrical engineering who are ready to take on the challenge of becoming a patent attorney. You'll need An impressive Degree, Master's, or PhD in electrical engineering. A genuine interest in technology and innovation. Excellent written and verbal communication skills. The ability to explain complex ideas clearly and concisely. Confidence engaging with people at all levels. A meticulous eye for detail and strong analytical thinking. Initiative and the ability to work independently. An open minded, accountable & resilient mindset. Strong time management skills. Why EIP? EIP specialises in high-value and complex patent matters,with offices across Europe and the US. Our multidisciplinary team includespatent attorneys, litigators, and commercial IP lawyers working in three of theworld's key patent markets - the UK, Europe, and the USA. EIP, you'll be part of a collaborative and open culturethat values technical excellence and strategic thinking. We offer a competitivesalary alongside a market-leading bonus structure, flexible and hybrid workingoptions, and private healthcare as part of a comprehensive benefits package. Ready to apply? If you're excited to make an impact in the world of patents,we'd love to hear from you.

London Full-Time Permanent Hybrid Start Date: September 2026 Join EIP as a Trainee Patent Attorney and transform your passion for electrical engineering into a rewarding career in patents! From day one, you'll be working directly with clients, gaining real-world experience while being supported by a comprehensive training programme and a team that shares your drive and ambition. You'll benefit from a clear path to qualification, full support for exams, and the chance to contribute to high-profile cases involving some of the most advanced technologies in the world. About EIP Digital: EIP Digital is at the forefront of innovation, working across a wide range of technologies - from AI and machine learning to electronics, semiconductor technologies, telecoms, optics, and applied physics. Since our founding in 2000, technical excellence has been central to our success. What we're looking for: We're seeking bright, motivated individuals with a strong academic background in electrical engineering who are ready to take on the challenge of becoming a patent attorney. You'll need: An impressive Degree, Master's, or PhD in electrical engineering or related discipline. A genuine interest in technology and innovation. Excellent written and verbal communication skills. The ability to explain complex ideas clearly and concisely. Confidence engaging with people at all levels. A meticulous eye for detail and strong analytical thinking. Initiative and the ability to work independently. An open minded, accountable and resilient mindset. Strong time management skills. Why EIP? EIP specialises in high value and complex patent matters, with offices across Europe and the US. Our multidisciplinary team includes patent attorneys, litigators, and commercial IP lawyers working in three of the world's key patent markets - the UK, Europe, and the USA. At EIP, you'll be part of a collaborative and open culture that values technical excellence and strategic thinking. We offer a competitive salary alongside a market leading bonus structure, flexible and hybrid working options, and private healthcare as part of a comprehensive benefits package. Ready to apply? If you're excited to make an impact in the world of patents,we'd love to hear from you.

ABOUT POOLSIDE In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress. View GDPR Policy ABOUT OUR TEAM We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year. Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts. ABOUT THE ROLE You would be working on our data team focused on the quality of the datasets being delivered for training our models. This is a hands-on role where your mission would be to improve the quality of the pretraining datasets by leveraging your previous experience, intuition and training experiments. This includes synthetic data generation and data mix optimization. You would be closely collaborating with other teams like Pre-training, Fine-tuning and Product to define high-quality data both quantitatively and qualitatively. Staying in sync with the latest research in the field of dataset design and pretraining is key for being successful in a role where you would be constantly showing original research initiatives with short time-bounded experiments and highly technical engineering competence while deploying your solutions in production. With the volumes of data to process being massive, you'll have at your disposal a performant distributed data pipeline together with a large GPU cluster. YOUR MISSION To deliver massive-scale datasets of natural language and source code with the highest quality for training poolside models. RESPONSIBILITIES Follow the latest research related to LLMs and data quality in particular. Be familiar with the most relevant open-source datasets and models Closely work with other teams such as Pretraining, Fine-tuning or Product to ensure short feedback loops on the quality of the models delivered Suggest, conduct and analyze data ablations or training experiments that aim to improve the quality of the datasets generated via quantitative insights SKILLS & EXPERIENCE Strong machine learning and engineering background Experience with Large Language Models (LLM) Good knowledge of Transformers is a must Knowledge/Experience with cutting-edge training tricks Knowledge/Experience of distributed training Trained LLMs from scratch Knowledge of deep learning fundamentals Experience in building trillion-scale pretraining datasets, in particular: Ingest, filter and deduplicate large amounts of web and code data Familiar with concepts making SOTA pretraining datasets: multi-linguality, curriculum learning, data augmentation, data packing, etc Run data ablations, tokenization and data-mixture experiments Develop prompt engineering pipelines to generate synthetic data at scale Fine-tuning small models for data filtering purposes Experience working with large-scale GPU clusters and distributed data pipelines Strong obsession with data quality Research experience Author of scientific papers on any of the topics: applied deep learning, LLMs, source code generation, etc, is a nice to have Can freely discuss the latest papers and descend to fine details Is reasonably opinionated Programming experience Strong algorithmic skills Linux Git, Docker, k8s, cloud managed services Data pipelines and queues Python with PyTorch or Jax Nice to have: Prior experience in non-ML programming, especially not in Python C/C++, CUDA, Triton PROCESS Intro call with Eiso, our CTO & Co-Founder Technical Interview(s) with one of our Founding Engineers Team fit call with the People team Final interview with Eiso, our CTO & Co-Founder BENEFITS Fully remote work & flexible hours 37 days/year of vacation & holidays Health insurance allowance for you and dependents Company-provided equipment Wellbeing, always-be-learning and home office allowances Frequent team get togethers Great diverse & inclusive people-first culture

Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details

A leading toy company in Greater London is seeking a data scientist to join its AI + Data Science Organisation. You will develop machine learning models and build scalable solutions to provide insights for Key Account Managers. The ideal candidate has strong Python skills and experience with data science tools. The role promotes a hybrid work environment, allowing for flexibility and collaboration within a dynamic team aimed at delivering innovative solutions.

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. About the role This is an exciting opportunity to join Faculty as the most senior data scientist in its recently formed Professional and Financial Services Team. As the Lead Data Scientist, you'll have an opportunity to shape a technical vision and guide the senior and junior data scientists on your team. Working collaboratively, you will oversee project teams that deliver high-impact AI solutions that are differentiated and compelling. You will also lead project teams delivering enterprise-scale applications for a range of clients, including major banks, asset managers, insurers, law firms, and B2B services. Maintaining ownership of the data science approach, you will own the technical vision for your projects, partner directly with clients to shape strategy, and play a crucial part in mentoring the next generation of data science talent at Faculty. What you'll be doing Project Leadership: Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in production Own the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scale Design robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed. Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor. Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives. Team Mentorship: Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth. Provide targeted technical support and learning opportunities for data scientists on your project teams. Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence. Technical Leadership Establish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations. Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives. Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward. Who we're looking for You have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysis An excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch) Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus. You possess proven experience leading data science projects and making key decisions on technical direction and architecture. You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights. You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision. You are passionate about developing people and have experience mentoring or managing other technical professionals. You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects. 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.

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. About the team Our Energy, Transition and Environment business unit is pioneering meaningful change in the clean energy revolution. Our vision is to accelerate the transition to net zero emissions and drive efficiencies for a new era of utility companies. We believe that the responsible, and intelligent, deployment of AI is critical to the success of this mission. We partner with a wide range of clients - from major energy operators, to GreenTech startups, and national infrastructure providers - to build solutions which return measurable impact and move us towards a smarter, cleaner, and more sustainable world. About the role Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high risk projects and deliver practical, innovative outcomes, this is your chance to shape our future. What you'll be doing Setting the technical direction for complex ML projects, balancing trade offs, and guiding team priorities. Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions. Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill defined, high risk environments. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth. Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition. Acting as a technical expert and coach for customers, accurately estimating large work streams and defending rationale to stakeholders. Who we're looking for You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem. You possess strong Python skills and practical experience operationalising models using frameworks like Scikit learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full stack web applications. You have hands on experience with containerisation tools like Docker and orchestration via Kubernetes. You can successfully manage and coach a team of engineers, setting team wide development goals to improve client delivery. You find novel, clever solutions for project delivery and take ownership for successful project outcomes. You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non technical stakeholders. The Interview Process Talent Team Screen (30 minutes) Introduction to the role (45 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial & Leadership Interview (60 minutes) 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.

Feedzai is the world's first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today's most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world's largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of +$1.5B, the company's technology protects 900 million people in 190 countries. The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. In addition, they work cross-functionally with other departments (e.g., Research, Product, Marketing) in a collaborative team spirit spanning the globe to ensure we deliver best in class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Join Us! Your Day to Day Understanding the data which our clients provide to us; Cleaning that data and validating that it is correct; Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc Iteratively computing features and tuning parameters to improve the quality of the model; Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project; Work together with key stakeholders (data scientists, engineers, risk managers) from our clients; Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling. You Have & You Know-how MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field; Proficient in Machine Learning (training and testing, avoiding overfit, etc.); Knowledge of Big Data technologies such as Spark, Hadoop and related; Proficiency in bash, Python and either Java or Scala; Knowledge of resource monitoring and runtime optimization (both at JVM and OS level); Knowledge of statistics or data visualization is a plus; Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus; Knowledge of Deep Learning algorithms is a plus; Ability to communicate your findings in a clear way. The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us! Your First 30-Days at Feedzai You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team! Equal Opportunity Employer Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Recruitment Policy Feedzai does not accept unsolicited resumes from recruiters or employment agencies. Privacy Notice Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at and for more information on how we process your personal data. We offer a wide variety of benefits for our employees globally. Here you can see the benefits all Feedzaians enjoy.

Complexio is Foundational AI. This works to automate business activities by ingesting whole company data - both structured and unstructured - and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo This is a high-impact, commercially-facing role. As a Technical Pre-Sales Engineer, you'll act as a trusted technical advisor to prospects and partners - helping scope, position, and validate Complexio's capabilities in early-stage discussions. You'll collaborate directly with the Co-CEO and sales leads to win strategic accounts by clearly translating platform functionality into commercial outcomes. You will not only support technical validation but help craft the story that makes Complexio's architecture compelling for CIOs, CTOs, and Heads of Operations. This is about enabling confidence - not just answering questions. Responsibilities Partner with sales and leadership to position Complexio's technology in client meetings, discovery calls, and solution workshops Understand client business processes and map those to the platform's capabilities (ingestion, mapping, knowledge graph, orchestration, agent workflows) Define and document the scope of PoCs, pilot programs, and commercial deployments Articulate technical concepts (data architecture, infrastructure, security) in commercially relevant language for executive stakeholders Assist in the development of proposals, technical diagrams, SoWs, and integration outlines Work closely with engineering to ensure solution feasibility and clarity during the sales cycle Tailor demos and walkthroughs using real or anonymised data to showcase applied use cases (e.g. lost invoice detection, regulatory process mapping) Support conversations on deployment models (on-prem, air-gapped, hybrid) and data governance Help refine pricing estimates based on use case complexity and integration requirements What Success Looks Like Trusted by the sales team and Co-CEO to support key deals and strategic conversations Confidently handles technical Q&A with both IT leaders and business users Accelerates sales cycles by reducing friction around deployment, data access, and technical feasibility Wins customer confidence through clarity, responsiveness, and commercial empathy 5+ years in a customer-facing technical role (pre-sales, solutions architecture, sales engineering) Experience working alongside commercial or executive teams to position complex platforms Deep understanding of enterprise data environments - familiarity with APIs, cloud infrastructure (AWS/Azure), IAM, and integration models Strong communication skills - equally comfortable with CIOs, compliance heads, and data architects Structured, proactive, and persuasive - able to distil core value from complex systems Preferred Background in AI, machine learning, data platforms, or graph technology Experience in regulated industries (shipping, energy, finance, supply chain) Ability to adapt commercial materials and pitch narratives to different personas Familiarity with privacy-preserving architectures, unstructured data processing, or event-based reasoning models Join a pioneering joint venture at the intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field.

Overview Location: Luton/Hybrid When it comes to innovation and achievement there are few organisations with a better track record. Join us and you'll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so that people can exercise their get-up-and-go. With almost 300 aircraft flying over 1,000 routes to more than 32 countries, we're the UK's largest airline, the fourth largest in Europe and the tenth largest in the world. Set to fly more than 90 million passengers this year, we employ over 10,000 people. Its big-scale stuff and we're still growing. Job Purpose With a big investment into Databricks, and with a large amount of interesting data, this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use data in a fast paced organisation. You will join as a Senior Platform Data Engineer providing technical leadership to the Data Engineering team. You will work closely with our Data Scientists and business stakeholders to ensure value is delivered through our solutions. Responsibilities Develop robust, scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. Work with Business Analysts to deliver against requirements and realise business benefits. Build a documentation library and data catalogue for developed code/products. Oversight of project deliverables and code quality going into each release. Qualifications Key Skills Required Technical Ability: has a high level of current, technical competence in relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. Clear communication; can communicate effectively in both written and verbal forms with technical and nontechnical audiences alike. Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical Skills Required Significant experience designing and building data solutions on a cloud based, big data distributed system. Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD), and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tuning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam). Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting. Understanding of Data Management principles (security and data privacy) and how they can be applied to Data Engineering processes/solutions (e.g. access management, data privacy, handling of sensitive data (e.g. GDPR). Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Understanding of the challenges faced in the design and development of a streaming data pipeline and the different options for processing unbounded data (pubsub, message queues, event streaming etc). Understanding of the most commonly used Data Science and Machine Learning models, libraries and frameworks. Knowledge of the development lifecycle of analytical solutions using visualisation tools (e.g. Tableau, PowerBI, ThoughtSpot). Hands-on development experience in an airline, e-commerce or retail industry. Worked within the AWS cloud ecosystem. Experience of building a data transformation framework with dbt. Location & Hours Location & Hours of Work: We operate a hybrid working policy of 40% of the month spent with colleagues. Application Process Interested candidates should apply through our careers portal. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation MP2# Business Area Primary Location

ML Engineer / Data Scientist, Applied AI page is loaded ML Engineer / Data Scientist, Applied AIremote type: Hybridlocations: GBR - 27 Wrights Lane - Londontime type: Full timeposted on: Posted Todayjob requisition id: R-026462ML Engineer / Data Scientist, Applied AI Job Description: At Warner Music Group, we're a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we turn dreams into stardom and audiences into fans. We are guided by three core values that underpin everything we do across all our diverse businesses: Curiosity : We do our best work when we're immersing ourselves in culture and breaking through barriers. Curiosity is the driving force behind creativity and ingenuity. It fuels innovation, and innovation is the key to our future. Collaboration : Making music and bringing it to the world is all about the power of originality amplified by teamwork. A great idea, like a great song, travels globally. We ignite passions and build connections across our diverse community of artists, songwriters, partners, and fans. Commitment : We pursue excellence for our team and our talent. Everything in music starts with a leap into the unknown, and we're committed to keeping the faith, acting with integrity, and delivering on our promises. WMG is home to a wide range of artists, musicians, and songwriters that fuel our success. That is why we are committed to creating a work environment that actively values, appreciates, and respects everyone. We encourage applications from people with a wide variety of backgrounds and experiences. Consider a career at WMG and get the best of both worlds - an innovative global music company that retains the creative spirit of a nimble independent. This role is the technical engine of our AI transformation. You will be responsible for bringing our most impactful AI models out of the lab and scaling them into reliable, high-performance production systems. Mission Reporting to the VP Data Solutions & Innovation within the Business Intelligence organization, you will lead the technical effort in exploring, validating, and accelerating the next generation of AI use cases. Your mission is focused on rapid scientific discovery and robust engineering: you will design and execute advanced modeling experiments to unlock new business value, and you will ensure that the most successful prototypes are engineered into scalable, high-performance production systems.You will operate with an innovator's mindset, tackling complex, unstructured music and market data, using techniques such as Deep Learning and Generative AI. Your core objective is to maximize the rate of successful innovation and reliably deploy verified solutions, ensuring our entire BI ecosystem is propelled toward predictive and augmented intelligence. Key responsibilities Rapid Modeling & Experimentation: Design, develop, and benchmark state-of-the-art machine learning models (forecasting, segmentation, recommendation, NLP, etc.) with a strong emphasis on quick iteration and scientific validation of new concepts. Generative AI & Exploration: Lead hands-on technical exploration into advanced techniques, including LLMs, RAG architectures, and Generative AI applications to create new forms of automated analysis and augmented intelligence products. Production Engineering & MLOps: Translate validated prototypes into robust, production-ready specifications, and lead the implementation of MLOps best practices (CI/CD, monitoring, serving) required for the reliable deployment of models. Complex Data & Feature Engineering: Deeply explore complex, multi-modal data (e.g., high-dimensional data, text, time series) defining the necessary features and data pipelines to support highly accurate experimental models for strategic analysis. Cross-Functional Collaboration: Work closely with the Product Manager, Data Scientists, and business stakeholders to ensure technical solutions maximize tangible business impact and adhere to ethical AI standards. Technology Scouting: Drive innovation through hands-on exploration of new AI technologies, including LLMs, GenAI, and vector databases, and evaluate their practical application to our music and operational data. Knowledge Transfer: Contribute to AI adoption and technical literacy across the company through clear documentation, workshops, and knowledge sharing with both technical and non-technical teams. Skills & Experience Education: Bachelor's degree required in Applied Mathematics, Computer Science, Software Engineering, or a highly technical quantitative discipline. A Master's degree (MS) or higher is strongly preferred. Experience: 2+ years of professional experience as a Machine Learning Engineer, Applied ML Scientist, or similar role, with a clear focus on productionizing models and advanced AI techniques. Technical Depth: Strong expertise in Python development and established skills in deploying and managing the full lifecycle of complex ML/DL models. Experience with advanced analysis of unstructured or multi-modal data (e.g., high-dimensional feature vectors, dense embeddings) is highly valued. MLOps Mindset: Proven track record of transforming R&D proofs-of-concept into robust, scalable, and monitored production-grade ML solutions. Engineering Rigor: A background in software engineering best practices (clean code, testing, Git) is essential. Communication: Exceptional ability to communicate complex concepts and model limitations clearly and effectively to product and non-technical stakeholders. Domain Affinity: High curiosity and enthusiasm for music, entertainment, or culture is a strong plus. WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religion or belief, age, sex, sexual orientation, gender, gender identity or gender reassignment, marital or civil partnership status, disability, pregnancy, childbirth or any other characteristic protected by law.

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. About the Role We're looking for a full-stack Senior Software Engineer to work in our Customer Development team on our ground-breaking Frontier platform. Your role will focus on scaling our Decision Intelligence offering - providing AI capabilities across high-impact decisions. This comes with genuinely interesting technical challenges, with huge space for creativity and influence. We're actively seeking a senior full-stack engineer to deliver our cutting-edge product, Frontier, to new clients. As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focussed product, remain close to live customer feedback whilst leading the way in technical best practices. In this role, you'll be immersed in hands-on work, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights. Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence. What you will be doing: At the heart of Decision Intelligence for each customer lies one or more Computational Twins (CT). A CT is a digital representation of an existing business process in which decisions are made. Our platform enables a CT to show historical process performance, model future behaviour and simulate decisions As a Senior Full Stack Engineer in the Customer Development team, you'll lead the technical delivery of customer-facing projects, working as part of small, cross-functional teams. You'll collaborate directly with customers and their engineering teams to understand their systems and data, and help integrate Frontier into their workflows. This often includes extending or adapting our frontend, backend, and infrastructure-as-code components, as well as supporting the creation of Computational Twins that model complex real-world systems. You'll play a hands-on role in shaping how Frontier is deployed and scaled in production environments, ensuring it delivers real impact from day one. Your responsibilities will include: Serve as a strong technical contributor within a cross-functional Delivery Squad, working alongside Engineers, Product Designers, Data Scientists, and a Delivery Manager to deliver impactful customer solutions. Mentor and support the growth of more junior engineers in the team Collaborate across the wider Frontier engineering organisation to implement new features, resolve issues, and improve the product's user experience. Build and extend the product using one or more of our primary languages - Python & TypeScript. Experience with Infrastructure as Code and Rust are also useful. Work directly with customer stakeholders, including end users and engineering teams, to integrate Frontier into existing systems, data sources, and workflows. What we are looking for: Full-stack engineering experience with Python, Typescript and React Experience with PostgreSQL. Knowledge of CI/CD pipelines (ideally with GitLab). Strong understanding of system architecture and design. Experience championing automated testing strategies across various levels of the test pyramid. Experience working with cross-functional teams of engineers. Experience collaborating with Product Managers and Product Designers to ensure delightful customer experiences. Expertise in Docker with deployment on Kubernetes, preferred An understanding of the AI value chain Experience with startup-centric fast-paced work, sometimes introducing creative approaches to difficult problems. 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.

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. Bringing medicine to patients is complex, expensive and high risk. Faculty's Life Science team is concentrated on building AI solutions which optimise the research and commercialisation of life changing therapies. We partner with major pharma firms, academic research centres and MedTech start ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role: As a Senior Machine Learning Engineer, we'll look to you to lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. What you'll be doing: Leading technical scoping and architectural decisions for high impact ML systems Designing and building production grade ML software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth Who we're looking for: You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You've extensive experience working with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale You thrive in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion You communicate exceptionally well, confidently guiding both technical teams and senior, non technical stakeholders 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.

Vestiaire Collective is the leading global online marketplace for desirable pre loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. We are proud to be a BCorp. About the role We are seeking a highly skilled and experienced Staff Data Scientist to join our Operations and Customer Service department. You will be instrumental in developing advanced AI models that enhance both internal operational workflows and customer-facing experiences. This includes building systems that help our Curation team verify product quality and authenticity from customer-provided descriptions and images, as well as exploring and delivering new models aimed at improving how customers interact with our platform. The role requires strong end to end machine learning expertise and a user centric mindset to drive measurable improvements in accuracy, operational efficiency, and overall customer experience. What you will do Design and own end to end AI/ML solutions for item quality and authenticity detection, spanning: Image analysis (detecting marks, defects, wear, size inconsistencies). Text and metadata understanding (brand, sizing, category anomalies). Counterfeit and fraud detection models; Design, prototype, and iterate on AI models that directly power and improve customer facing experiences on our platform (e.g., smarter assistance). Collaborate closely with the Product and Curation teams to define requirements, integrate AI models into their workflow, and provide insights to enhance their verification processes. Advise and direct data/feedback collection for continuous improvement and monitoring of the performance of the models. Perform rigorous model evaluation, A/B testing, and continuous improvement of AI models. Work with engineering teams to ensure seamless deployment and integration of AI models into our existing platforms. Research and stay updated on the latest advancements in AI, machine learning, deep learning and computer vision to identify new opportunities and best practices. Mentor senior and mid level data scientists, raising the technical bar on modeling, data quality, and experimentation best practices. Communicate complex technical concepts and findings to both technical and non technical stakeholders. Who you are 6+ years of experience in data science, machine learning engineering, or AI development, with a strong focus on computer vision applications and customer facing models. Deep expertise in applied AI/ML (computer vision, anomaly detection, fraud/risk modeling). Track record of leading technical initiatives and influencing decisions across teams. Experience in architecturing, deploying, and maintaining AI systems at scale. Proficiency in programming languages such as Python and experience with relevant libraries/frameworks (e.g., TensorFlow, TorchServe, TensorflowServing, PyTorch, scikit learn, spaCy, Hugging Face Transformers, OpenCV). Deep understanding of machine learning algorithms, statistical modeling, and data manipulation techniques. Experience with data visualization tools and communicating insights effectively. Strong problem solving skills, with the ability to tackle complex, ambiguous problems. Ability to work independently and collaboratively in a fast paced, global team environment. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Experience building or maintaining customer service chatbot systems is a plus. Familiarity with database technologies (SQL, NoSQL) and cloud data warehouse (BigQuery/Snowflake). Excellent communication and interpersonal skills. Fluency in written and spoken English (please send your application in ENGLISH only). Our Tech Stacks includes Deep Learning & ML frameworks & Libraries: PyTorch, Tensorflow, Scikit learn, OpenCV, TorchServe, TensorflowServing. Model serving: Airflow, Torchserve, TFServing, Triton Inference Server, REST APIs, gRPC. Deployment: K8s. What we offer A meaningful job with an impact on the way people consume fashion and promote sustainability. The opportunity to do career defining work in a fast growing French born scale up. The possibility to work as part of a globally diverse team with more than 50 nationalities. Two days to help Project - reinforcing your activist journey and volunteer for an association. Significant investment in your learning and growth. Competitive compensation and benefits package. As full member of our entrepreneurial project, you will be eligible to free shares. Research indicates that people from under represented backgrounds- including women, people with disabilities, and other marginalized communities- often hesitate to apply for roles unless they meet every single requirement. At Vestiaire Collective, we believe that talent comes in many forms, and we're committed to creating an inclusive environment where everyone can thrive. Your unique perspective could be exactly what our team needs, so we encourage you to apply even if you don't tick every box. Vestiaire Collective is an equal opportunities employer Beware of Scams Vestiaire Collective only contacts candidates via official emails ending or . We never use WhatsApp, Telegram, or similar apps for job offers, nor will we ever request payments or banking details. If you receive a suspicious message, please report it to