2,426 to 2,450 of 2,956 Data Science Jobs

governance, responsible AI and risk management to help clients navigate evolving regulations while delivering practical governance frameworks. You’ll work with AI specialists, data scientists, and cross‐functional teams across multiple sectors, with hybrid travel between client sites and offices. You’ll engage in governance workshops, risk assessments ...

AVEVA seeks a Product Intelligence Data Scientist to transform raw usage signals into predictive insights. You’ll own analytical models linking product behavior to business outcomes across acquisition, activation, adoption, expansion and renewal. You will partner with Product to define hypotheses and build predictive models that quantify adoption maturity ...

seeking a Machine Learning Engineer to build and run production-ready ML systems that make a real impact. You’ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable solutions, and driving innovation while growing your career. Being part of a permanent team ...

Manchester to design, build and deploy AI-powered customer solutions across the full delivery lifecycle. You will work in a multidisciplinary team comprising data scientists, architects and client stakeholders to solve growth challenges with responsible, production-ready AI. The role emphasizes hands-on engineering, experimentation, and clear communication ...

Forward Deployed Engineer to design, develop, and deploy full‐stack AI-driven applications on the C3 AI Platform. You will work directly with customers, data scientists, and engineers to deliver production-ready solutions and proofs-of-technology. You will join frontline projects in UK and European defence, contributing ...

annotation and evaluation across multiple use cases. You will define schemas, review outputs, and set reusable prompt frameworks aligned with compliance. Collaborate with data scientists, content reviewers and product teams; lead calibration sessions, establish quality benchmarks, and mentor junior annotators while advancing continuous improvement in a fast-moving ...

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 ...

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 ...

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 ...

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 ...