2,401 to 2,425 of 2,914 Permanent Data Science Jobs

will design, develop and optimise scalable backend services and APIs across cloud-native environments. Join a cross-functional team working with AI Engineers, Data Scientists, Enterprise Architects and Security teams in a hybrid, cross-city setting. The contract offers an initial 3 months with potential extension and a rate ...

serverless Cloud product post-GA and shape market adoption while collaborating with diverse teams. You’ll translate requirements into scalable designs, work with executives, data scientists, and engineers, and champion our vision to enable customer success #J-18808-Ljbffr ...

lead the payments platform, ensuring a secure, scalable payments foundation across Kingfisher banners. You will own the roadmap, partner with Fraud Operations, Risk and Data Science, and drive platform adoption while maintaining governance and cost awareness. This role requires strong payments experience, stakeholder management across engineering, architecture, data ...

operationalise advanced machine learning solutions that directly support UK national security objectives. This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure … moving models from experimentation into production with appropriate governance and quality controls Hands-on experience with MLOps tooling such as MLflow, Weights & Biases or Data Version Control Practical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with LLMOps frameworks such as LangChain ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software … long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers, data scientists, and product owners, to deliver products to production. Builds and maintains data pipelines for analytics, model evaluation, and training (includes versioning, compliance ...

DoorDash builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership … problems are backend and platform problems. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. ...

machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow.Conduct research and experimentation with new AI paradigms and technologies to continuously improve agent performance and capabilities.Collaborate with product managers, data scientists … ensuring high accuracy, reliability, and scalability.Contribute to the development of internal AI frameworks, tools, and best practices.Job Qualifications**Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field.Proven experience (3+ years) in designing and implementing AI agents or intelligent systems.Strong proficiency ...

production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with - and raise the technical bar for - ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future … enabling the next generation of AI-powered products, agents, automation, and personalisation. We're excited about you because... BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing ...

using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environmentsStrong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelinesDemonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers … managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organizationEducationBachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experienceResponsibilitiesDesign, code, and lead delivery of scalable AI platforms and intelligent applications ...

Central is seeking a Senior Data Scientist to turn complex data into actionable insights and deliver innovative solutions that drive business value and strategic decision‐making. You will develop data services, apply deep learning and ML, perform data analysis, and collaborate across teams to implement data ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event‐driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI‐enabled products and services Education Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI-enabled products and services Education Bachelors degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms and intelligent ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI-enabled products and services Education Bachelors degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms and intelligent ...

This is an exciting opportunity for someone who is passionate about technology, data, and machine learning, and is eager to contribute to a forward-thinking, collaborative environment. The Data Scientist will be responsible for building and deploying machine learning models to support personalisation, recommendations, anomaly detection, and data … integration, and automated retrainingUse AI-assisted development tools such as Cursor and Copilot to enhance productivityCollaborate with engineers, DevOps, and leadership to ensure robust data pipelines and translate business requirements into technical solutionsRequirements3+ years of hands-on experience in applied machine learning and deploying production modelsProficiency in Python ...

Arrive, the global mobility platform behind Parkopedia, is transforming urban travel. As a Staff Python Engineer you will lead data systems, design scalable data services, and shape production AI capabilities. You’ll own the Spark-based pipelines, drive engineering standards, collaborate with data scientists, and evolve infrastructure ...

agents and LLM-powered applications Design and develop robust, scalable, and maintainable automated test frameworks Collaborate with product managers, machine learning engineers, and data scientists to translate AI features and model behaviors into test cases and validation criteria Improve testing processes and infrastructure, integrating automated checks into CI/… systems and AI model performance and contribute to post-release quality validation Champion quality best practices across engineering teams Design, manage, and maintain test data strategies and mock services Manage the full defect lifecycle using customer feedback and debugging logs Report directly to the director of engineering Requirements 5+ ...

platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth … enhancing existing ones. You'll need proficiency in at least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement ...

Legora AB in London is seeking a Senior Data Scientist for Product to turn data into actionable decisions. You’ll shape metrics, model data in dbt, run analyses, and present clear recommendations, partnering with Product, Finance, and GTM to impact pricing, roadmap, and strategy. We value deep … expertise in SQL and Python, data modelling, and the ability to influence decisions through data storytelling. You’ll join a fast-paced, AI-first team building an ambitious, globally scaled product. #J-18808-Ljbffr ...

continuity, buffering and interface clarity Understanding of how listening habits drive subscriber value, engagement and retention Comfortable defining success metrics, running experiments and using data to make and defend product decisions Confidence working with editorial colleagues and balancing listener experience with journalistic standards Ability to collaborate within a small … squad and across engineering, design and data science Nice to have: audio product experience with in-app and web players, narration pipelines, podcast hosting and distribution knowledge of text-to-speech technologies and editorial content products experience with Acast, Spotify and Apple Podcasts knowledge of engagement and retention ...

markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. the company replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high … will use and contribute to these rather than build them from scratch. You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high-autonomy role with real scope ...

Insurance is building a cutting-edge data platform to monitor the commercial performance of its algorithmically underwritten insurance business in real time. You will join an agile squad, collaborating with actuaries, data scientists and engineers to design, build and optimise production-grade data pipelines feeding … algorithm and its analytics platforms. The role emphasises hands-on data modelling, ETL/ELT, and modern cloud-based data solutions across GCP/AWS, with strong Python API #J-18808-Ljbffr ...

Funding Circle is expanding its Data Product team in London, aiming to strengthen our data-driven decision making across risk, marketing and operations. You will collaborate with data engineers, analytics engineers and data scientists to build scalable data products and datasets. You will guide senior … stakeholders, coach juniors, and drive strategic development of Data Products, ensuring value is delivered through cutting-edge data solutions. #J-18808-Ljbffr ...

Lloyds Banking Group is seeking a Senior Data Engineer in London to join the Data Platform team. You will design, build and operate scalable data infrastructure powering real-time and batch analytics, ML workloads and operational reporting. You'll collaborate with engineers, data scientists and business … stakeholders to promote best-practice data engineering, architecture and quality, while delivering robust production systems in a hybrid setup. #J-18808-Ljbffr ...