15 jobs found

Senior Data Scientist with a GenAI focus Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. About the role You will join our rapidly expanding data practice and will be part of our multi-disciplined teams, building Generative AI-based solutions for clients. You'll work very closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach coupled with critical thinking and hands-on NLP and GenAI (RAG) expertise. You'll be a key member in this team, with significant customer exposure, taking them on the journey from early adoption through to scale. You'll have a solid understanding of the foundations required for successful projects across infrastructure, business, data and AI, and be an anchor of the relationship with our customers. Speaking with empathy and credibility will be key. Skills and Experience required 1+ years of focused LLM / GenAI and RAG project experience, preferably in a leadership role; A data science background. NLP experience is key; Fluent in Python, and able to rapidly and independently prototype and develop code, as well as deliver production-quality; Experience in some of the Azure data services; Familiar with best practices on model tuning, drift monitoring and optimisation; Experienced in consulting and stakeholder management, break down business problems and formulate technical solutions. What you will do Understand client requests and business processes to propose how GenAI may solve business challenges; Chain of thought reasoning to build up LLM based solutions; Resource Augmented Generation (RAG) including optimisation of chunking and metadata; Follow Responsible AI principles; Rapidly develop customer demonstrations to show the art of the possible with GenAI; Contribute to Ascent's Gen AI methodology and accelerators; Be a member of our Data Science and Gen AI communities and play a key role in continuing to evolve Ascent's GenAI capability and collateral. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status.

We're a transformation consultancy and we exist to reimagine how enterprises operate, making data and AI their competitive advantage. We turn enterprises into data-driven and AI enabled organisations, unleashing business growth and accelerating outcomes. We have big ambitions for the future. Since we launched October 2021, we've grown to over 100 people and are working with some of the UK's largest enterprises to deliver real transformation. We're building an open, collaborative culture and we are always on the lookout for top talent to join us in our next phase of growth. If you're interested in working on business-defining engagements with some of the brightest minds in the industry, apply below! Our Values We're committed to building an organisation where everyone can thrive. That's why we collectively created the following values: Own It: Take responsibility and make impactful decisions - your ownership drives our success. Drive Excellence: Commit to being the best in what we do - excellence isn't an option, it's our benchmark. Act with Integrity: Uphold a culture of trust and respect, build strong relationships and deliver on every promise. Think Customer First: Put our customers at the heart of every decision you make - their success defines ours. Go Big & Innovate: Be ambitious, challenge norms and innovate boldly to redefine what's possible for us and our customers. You'll not be an island here. We're going to surround you with industry leading talent who are working towards a shared goal of using AI/ML to deliver maximum business value to our clients. We're going to be bringing products & solutions to life - your work will see the light of day. Responsibilities Help own AI/ML domain as part of a cross functional team. Solve the business problems not just the technical ones - understand our customers, the people & problems they face and design solutions that help them. Design and build data science and machine learning systems that have measurable impact for clients with the use of cutting edge technologies. Bridge the gap between business and technology; comfortably communicate & manage expectations across customer stakeholders, technology & our own engineering teams. Contribute in discovery sessions and workshops with customers. Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation. Contribute to internal initiatives such as blogs & technical forums. Requirements Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow). Experience driving ML & data science solutions into production. You can put the numbers into a business perspective - you're a data storyteller. You are comfortable getting hands-on dealing with the customer and their problems. Experience with cloud computing ecosystems (e.g. AWS, Azure, GCP). Exposure to & appreciation of software engineering best practices applied to data, e.g., version control, CI/CD. General purpose skills in AI/ML, and a proven record of applying them to solve business problems. Impact driven, work proud and eager to have a real positive influence on Mesh-AI, our customers, and your team. Nice to Have NLP, LLMs, GenAI, time series forecasting, image recognition or deep learning. PySpark, OpenCV, spaCy or DVC. Exposure to MLOps. Why Mesh-AI Fast-growing start-up organisation with huge opportunity for career growth. Highly competitive salary package along with company bonus. A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion. Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget. Want to know more? Get in touch with . Otherwise apply here. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Current Country of residence Current City of residence Personal Website of Github How did you hear about this opportunity? Without Sponsorship, do you have the right to work in the UK and take up the role you are applying for? Select If you require sponsorship or do not currently have the right to work in the UK, please provide additional details.

About the Machine Learning Engineer for CDAO Europe CDAO Europe is looking for a machine learning engineer to build efficient, data-driven AI systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Vanguard's machine learning models and algorithms. This person will play a critical role in designing and developing machine learning algorithms and AI applications and systems for Vanguard, solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks. They will collaborate with data scientists, data analysts, data engineers, and data architects on production systems and applications, and identify differences in data distribution that could potentially affect model performance in real-world applications. This person will be a major contributor in our GenAI intake process, assessing and reviewing use cases from around the business, and play a key role in Vanguard's model governance processes. Core Responsibilities Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySpark, GlueETL). Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production. Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams. Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities. Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts. Participates in special projects and performs other duties as assigned. Qualifications • Undergraduate degree or equivalent combination of training and experience. • Minimum of five years related work experience. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience. Company: Vanguard Careers Level of experience (years): Senior (5+ years of experience)

LangChain CrewAI AutoGen GenAI LLM NLP Startup Transformers GetThingsDone AI Brief description of the vacancy We're looking for a Gen AI Scientist to develop, scale, and support our LLM-driven autonomous platform. You'll work with LangChain, AutoGen, CrewAI, and deploy open-source models (LLaMA, DeepSeek) in the Google Cloud. About the company Anecdote is an innovative, AI-first startup revolutionizing how companies analyze customer feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth. We are backed by top investors, including Neo, Sukna, Race Capital, Propeller, and Wamda, having raised $3.5m to date. Responsibilities Develop, scale, and support our LLM agentic system platform. Design and implement AI-driven autonomous workflows, enabling seamless human-AI interaction. Build and deploy open-source models in cloud environments, optimizing inference and serving costs. Improve and maintain data pipeline reliability and participate in on-call rotations. Debug and fix issues in ML pipelines, even when the cause is obscure. Collaborate with cross-functional teams to integrate AI models into production systems. Clearly articulate the work you've done and the impact you've made. We are early stage, so the work is dynamic and evolving. Examples of additional challenges you might tackle: Make things work. Even the hardest things. Deploy AI models in scalable and cost-efficient ways. Optimize prompts, refine model outputs, and experiment with novel prompting strategies. Implement backend endpoints to bridge AI capabilities into our production stack. Label data and refine model training workflows. Hire and manage part-time annotators to improve data quality. Create quick prototypes using Dash/Streamlit to validate concepts. Own features end-to-end, from ideation to deployment. Be on-call for urgent AI model fixes or system failures. Qualifications Proficiency in Python and related libraries (e.g., NumPy, SciPy, pandas) is required. Strong production experience with at least one framework: LangChain, AutoGen, or CrewAI. Deep understanding of agentic systems, autonomous workflows, and LLM-based automation. Experience deploying and fine-tuning open-source models (e.g., LLaMA, DeepSeek) in the cloud. 5 years of hands-on experience in building, productionizing, iterating, and scaling AI-driven pipelines. Ability to take projects to completion, unblock yourself, and present results clearly and impactfully. Staying on top of recent trends, with hands-on experience in fine-tuning LLMs beyond API comparisons. Strong knowledge of software engineering, including building scalable web services and APIs. Experience developing full-stack applications, including database design, API development, admin panel creation, and monitoring systems. Experience with GCP is a big plus. DevOps experience is a big plus. Prompt engineering expertise and creative problem-solving mindset. Experience with processing multimodal data (text, images, audio) is a plus. Perks and Benefits: Fully Remote: Work from anywhere with flexible hours. In-person Meetups and regular team-building remote events: Enjoy occasional meetups and monthly game sessions. Generous Vacation: Take time off when you need it. Growth Opportunities: Continuous professional development and learning support. Dynamic Culture: Be part of a fast-moving, high-impact team. Stock Options: Get equity in our growing startup. Contacts Log In Only registered users can open employer contacts.

Senior Machine Learning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in 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: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. 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. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM. Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. 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 (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM). Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK, Poland or Portugal. Occasional travel to company offices as necessary.

Fresh off the back of our large seed-stage investment round, we are looking for an experienced Machine Learning Engineer to lead our ML work streams, and translate product concepts and requirements into a mixture of: research tasks, proof-of-concept applications, and production-ready features. Key Responsibilities: Developing and refining advanced machine learning models for image generation, with a core focus on maintaining control of the output. Fine-tuning latent diffusion models and training new conditioning models. Optimising model performance for speed, quality, and ensuring scalability in a cloud-based environment. Creating and maintaining pipelines for automated model training and deployment. Assisting backend developers to build and maintain data engineering pipelines for downstream data analysis and training tasks against a data warehouse. Collaborating closely with the CTO, product designers, and engineering team to integrate ML models into the core product. Conducting research and staying up-to-date with the latest advancements in machine learning and computer vision relevant to our future roadmap and feature ideas. Mentoring junior ML engineers and data scientists, fostering a collaborative and innovative team culture. Working with the product team to understand user needs, testing and iterating on features to improve the user experience. Requirements: 5+ years of hands-on experience in machine learning, with a focus on deep learning, image generation, and/or computer vision. Good understanding of latent diffusion models, LLMs. Strong programming skills in Python and experience with ML libraries like TensorFlow or PyTorch. Proven experience deploying ML models in production environments, including model optimisation and scaling. Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Excellent problem-solving skills and a self-starter attitude. It would be a bonus for you to have: Master's or Ph.D. in Computer Science, Machine Learning, GenAI, or a related field. (Extra bonus!) Experience or familiarity with CAD or 3D modelling software (e.g., Blender, 3DS Max). Core Skills: Machine Learning, Deep Learning, Python, Docker, Data Warehousing Other Skills: Tensorflow, PyTorch, AWS Seniority: Senior, Lead

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving its accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at and follow us on LinkedIn. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society, and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive, and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. What You'll Do: As a Technical Support Engineer, you'll spend your first 2-4 months immersed in learning Neo4j's products, support, and other internal processes, and working support cases from customers to build up the appropriate level of experience and insight needed to deliver the level of support Neo4j's customers have come to appreciate and expect. You will also have the opportunity to become deeply skilled in specific areas of interest within the product, acting as a Subject Matter Expert for our Field Engineering team, including Support. Last but not least, you will be an integral part of the Support Engineering team, working together to improve and evolve the product and the support we deliver to meet the needs of our customers and opportunities for graph solutions in the market. Qualifications: A Technical Support Engineer at Neo4j is comfortable troubleshooting technical issues, speaking with customers about their needs, questions, and concerns, and working with their colleagues as part of a growing team distributed across the globe. Specific qualifications for the role include: Role Skills: Ability to handle a range of urgent to minor support requests during business hours, with occasional off-hours scheduled work and on-call shifts. Establish and constantly build upon a solid technical understanding of Neo4j and how our customers build, deploy, and manage applications using our graph platform. Collaborate effectively within Customer Success, Product Engineering, and other Neo4j teams to understand and resolve customer issues completely and expediently. Constantly work to streamline and improve processes, tools, Neo4j's product offerings, and the overall customer experience. Know when to seek help, and always be willing and open to offering expertise and assistance to colleagues and customers alike. Effectively communicate with all levels of customer contacts including CTOs, management, developers, and operations teams. Provide valuable guidance and insight through email, telephone, remote conferencing, and occasionally in-person engagements. Work with Product Management and Product Engineering to help define and drive fixes and enhancements to address customer needs. Take responsibility and ownership with Customer problems. Technical Skills: Timely triage varying issues based on error messages, log files, thread dumps, stack traces, sample code, and other available data points. Troubleshoot performance issues in JVM based software (4j means for Java). Consult with customers on Cypher query tuning (SQL for graphs) and data model design to address performance needs and expanding use cases. Review and provide suggested improvements to Java User Defined Procedures (and UDFs) and other Neo4j Java API questions (Java experience preferred). Efficiently troubleshoot cluster issues across multiple servers, data centers, and regions, in a variety of clouds (AWS, Azure, GCP, etc), virtual, and bare metal environments. Possess demonstrated proficiency in Linux (primarily) and Windows (secondary) environments ( and most common OS's, respectively). Background in database technologies (SQL, NoSQL) or competing graph database technologies. Docker and Kubernetes, distributed technologies, and clustering. Nice to have: Graph Data Science technology experience, UI, UX. Other Requirements: B.S. or M.S. in Computer Science or Engineering, or other technical fields strongly considered. Occasional travel, up to 20% expected. Preferable prior experience in a customer-facing support role. Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact Study cited Neo4j as delivering 417% ROI to customers. Neo4j was named as a Visionary in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave: Vector Databases, Q3 2024. Research shows that members of underrepresented communities are less likely to apply for jobs when they don't meet all the qualifications. If this is part of the reason you hesitate to apply, we'd encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)- :VALUE ->(relationships) (we)- :FOCUS_ON ->(userSuccess) (we)- :THRIVE_IN ->(:Culture type: 'Open', 'Inclusive' ) (we)- :ASSUME ->(:Intent direction:'Positive' ) (we)- :WELCOME ->(:Discussions nature: 'IntellectuallyHonest' ) (we)- :DELIVER_ON ->(ourCommitments)

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving its accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at and follow us on LinkedIn. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Team: Neo4j's managed cloud offering, Aura, brings the power of graph databases to the cloud. We're expanding our Aura Enablement team and looking for an ambitious Engineer to join us. Our team combines experience in pure software development and platform engineering so the combination of experience is vital for candidates interested in joining this team. The Role: "Increase engineering efficiency by building an internal developer platform" The Aura Enablement team drives innovation by enhancing the Developer Experience within Aura. While we collaborate across all Engineering teams at Neo4j, our primary focus is on empowering Aura teams to achieve more with greater efficiency through the practice of Platform Engineering. We aim to build intuitive self-service tools that eliminate bottlenecks, enabling engineers to focus on what they do best-delivering impactful solutions. By reducing cognitive overhead and streamlining workflows, we accelerate application delivery and amplify the business value our teams create. This is often referred to as the golden path or the paved road. Primary responsibilities: Improve the speed and quality of our build system by improving our CI runners and build machinery. Work with ArgoCD and build the future of how we deliver software to production. Work on and improve the Kubernetes as a Control-Plane, to enable engineers to control all of their resources through Kubernetes management lifecycles. Build and improve tooling to enable engineers, for example: Scaffolding, make it easier to create components. Provide testing frameworks to make it easier to test components. Provide a better Continuous Delivery platform with Argo Rollouts to enable testing in production. Foster a culture of modern software development practices including practices such as: Releasing under feature flags. Testing in production. What you'll Need: Knowledge and understanding of the basic builtin resources in Kubernetes such as Pods, Deployments, StatefulSets. Knowledge around the operator pattern in Kubernetes and how to extend the K8s api through Custom Resources. Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications. Some knowledge around the Golang build and packaging system. Knowledge around modern continuous integration practices. Experience configuring CI/CD pipelines taking software from a merged PR to running in a production environment (most often K8s cluster). Experience building and running docker images. An interest in understanding the pain points of other developers and ability to come up with solutions addressing those pain points. What's nice if you have: Experience with the concept of "platform as a product" where the internal developer platform is treated as any other product built for internal engineers. This involves things like: Working closely with internal engineers to identify pain points. Making sure the product experience is as good as possible. Setting up observability around how the platform is performing but also how users are interacting with the platform. Experience installing and running open source k8s operators such as cert-manager and aws-controllers-k8s. Experience creating abstractions to simplify the local developer workflow via tooling like Make. Experience with k8s-related build tooling like kustomize or helm is also meriting. Experience integrating software with Google Cloud Platform, AWS and Azure. Some experience in common software observability practices such as tracing, logging and metrics exporting. Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact Study cited Neo4j as delivering 417% ROI to customers. Neo4j was named as a Visionary in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave: Vector Databases, Q3 2024. Research shows that members of underrepresented communities are less likely to apply for jobs when they don't meet all the qualifications. If this is part of the reason you hesitate to apply, we'd encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)- :VALUE ->(relationships) (we)- :FOCUS_ON ->(userSuccess) (we)- :THRIVE_IN ->(:Culture type: 'Open', 'Inclusive' ) (we)- :ASSUME ->(:Intent direction:'Positive' ) (we)- :WELCOME ->(:Discussions nature: 'IntellectuallyHonest' ) (we)- :DELIVER_ON ->(ourCommitments)

Full-Stack Software Engineer - Enablement London About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving its accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at and follow us on LinkedIn. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Team: Neo4j's managed cloud offering, Aura, brings the power of graph databases to the cloud. We're expanding our Aura Enablement team and looking for an ambitious Engineer to join us. Our team combines experience in pure software development and platform engineering so the combination of experience is vital for candidates interested in joining this team. The Role: "Increase engineering efficiency by building an internal developer platform" The Aura Enablement team drives innovation by enhancing the Developer Experience within Aura. While we collaborate across all Engineering teams at Neo4j, our primary focus is on empowering Aura teams to achieve more with greater efficiency through the practice of Platform Engineering. We aim to build intuitive self-service tools that eliminate bottlenecks, enabling engineers to focus on what they do best-delivering impactful solutions. By reducing cognitive overhead and streamlining workflows, we accelerate application delivery and amplify the business value our teams create. This is often referred to as the golden path or the paved road. One important part of the paved road is our internal developer portal based on Backstage. It serves as a central hub of information around all the different microservices we run at Neo4j. It also provides a plugin system for other teams to add their functionality into the portal. Primary responsibilities: Your main responsibility will be to work on our internal developer portal built on Spotify's Backstage framework where you will take ideas all the way from UI designs to final implementations. Since the rest of the team mainly has backend experience, you are expected to take the lead on this work and especially the frontend-related pieces. The responsibilities will include: Consolidating requirements from the Enablement team and other teams into designs in Figma Converting those designs to implementations in our frontend built on React + Material UI Implementing backends in NodeJS/Golang serving data to the frontend Building solutions for tracking user experience, user patterns and user adoption in the frontend Build frontend frameworks/reusable components to simplify frontend development for other teams without frontend experience Upskilling other team members in Enablement in frontend and design practices What you'll Need: Strong frontend experience building frontends Experience working with React Experience around creating designs in Figma or similar tools Experience building backends in NodeJS or Golang Professional experience using NodeJS or Golang for multiple software projects An interest in understanding the pain points of other developers and ability to come up with solutions addressing those pain points. What's nice if you have: Experience working with Spotify's Backstage framework Experience building frontend frameworks for simplifying frontend development for other engineers Experience with the concept of "platform as a product" where the internal developer platform is treated as any other product but of course built for internal engineers. This involves things like Working closely with internal engineers to identify pain points Making sure the product experience is as good as possible Setting up observability around how the platform is performing but also how users are interacting with the platform Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact Study cited Neo4j as delivering 417% ROI to customers. Neo4j was named as a Visionary in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave: Vector Databases, Q3 2024. Research shows that members of underrepresented communities are less likely to apply for jobs when they don't meet all the qualifications. If this is part of the reason you hesitate to apply, we'd encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)- :VALUE ->(relationships) (we)- :FOCUS_ON ->(userSuccess) (we)- :THRIVE_IN ->(:Culture type: 'Open', 'Inclusive' ) (we)- :ASSUME ->(:Intent direction:'Positive' ) (we)- :WELCOME ->(:Discussions nature: 'IntellectuallyHonest' ) (we)- :DELIVER_ON ->(ourCommitments)

About the Role: Grade Level (for internal use): 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients. Lead data science product development start to end from PoC to full productization. Actively research, explore and identify the latest relevant techniques. Identify opportunities for innovation across the Market Intelligence division. Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability. What We're Looking For: 3+ years of professional experience in Advanced Analytics / Data Science / Machine Learning / Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines. Experience working with databases and SQL. Experience using Language Models to solve a range of predictive tasks involving text. Ability to quickly acquire new technical skills. Experience of working with large data sets and distributed computing. Good understanding of mathematical foundations of Machine Learning models. Able to translate business problems into problems that can be solved with Data Science. Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs. Econometrics / Financial Engineering background. Time series modelling. Cloud (AWS, GCP, Azure). Experience with model visualization and explainability. About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. What's In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. Our Values: Integrity, Discovery, Partnership. Benefits: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. Inclusive Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision.

Senior Machine Learning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in 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: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. 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. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. 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 (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK, Poland or Portugal. Occasional travel to company offices as necessary.