301 to 325 of 9,917 Permanent Artificial Intelligence Jobs

About Us TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug … and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’. ROLE DESCRIPTION We are looking for … preferred PLEASE NOTE: Candidates must be legally authorized to work in the UK. As a testament to our growth, we have been, Positioned as a Leader in Top Generative AI Service Providers – PeMa Quadrant 2023 by AIMResearch Recognized among the Inspiring Workplaces in North America, 2023 Accredited for Inclusive Practices by Great Place to Work Institute, India Recognized among India More ❯

About Us TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug … and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’. ROLE DESCRIPTION We are looking for … preferred PLEASE NOTE: Candidates must be legally authorized to work in the UK. As a testament to our growth, we have been, Positioned as a Leader in Top Generative AI Service Providers – PeMa Quadrant 2023 by AIMResearch Recognized among the Inspiring Workplaces in North America, 2023 Accredited for Inclusive Practices by Great Place to Work Institute, India Recognized among India More ❯

About Us TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug … and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’. ROLE DESCRIPTION We are looking for … preferred PLEASE NOTE: Candidates must be legally authorized to work in the UK. As a testament to our growth, we have been, Positioned as a Leader in Top Generative AI Service Providers – PeMa Quadrant 2023 by AIMResearch Recognized among the Inspiring Workplaces in North America, 2023 Accredited for Inclusive Practices by Great Place to Work Institute, India Recognized among India More ❯

experience in Python and AWS cloud services. Creditsafe Privately owned and independently minded, Creditsafe operates with the singular vision of powering business decisions. We do this by delivering valuable intelligence on customers, suppliers and potential buyers to corporates, public sector organisations and SMEs globally. Our journey began in 1997 in Oslo, Norway in 1997, with a revolutionary dream to … for the better, made data intelligence accessible to all businesses big and small but most importantly, opened new avenues of data intelligence for businesses with machine learning, AI and connected data. From risk management through to opportunity identification, our industry-leading solutions, power decisions for companies by turning their data into actionable insights that help them become stronger More ❯

emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, Databricks ETL, data integration and … data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day … delivery of solution, Strong stakeholder management and communication skills Qualifications Hands on experience with data solution architecture, design and rollout. Strong experience in Databricks Hands on experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies More ❯

emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, Databricks ETL, data integration and … data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day … delivery of solution, Strong stakeholder management and communication skills Qualifications Hands on experience with data solution architecture, design and rollout. Strong experience in Databricks Hands on experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies More ❯

emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, Databricks ETL, data integration and … data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day … delivery of solution, Strong stakeholder management and communication skills Qualifications Hands on experience with data solution architecture, design and rollout. Strong experience in Databricks Hands on experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies More ❯

emphasis of working in client facing environments. Typically the role will involve the following: Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, Databricks ETL, data integration and … data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day … delivery of solution, Strong stakeholder management and communication skills Qualifications Hands on experience with data solution architecture, design and rollout. Strong experience in Databricks Hands on experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies More ❯

and Regional reporting. Drive thought leadership by challenging existing approaches and enabling faster, smarter decisions through innovative analytics and insights. Foster a data driven culture, delivering high quality, actionable intelligence at speed, and developing a world class analytics framework spanning transactional, research, market, and competitor data. Partner with the Senior Commercial Director and other Group Performance Directors to drive … behavioural insights, and user journey mapping to inform product and marketing strategies. Support UX optimisation, A/B testing, and feature performance analysis across the iGaming and sportsbook platforms. AI & Advanced Analytics Identify and influence the group wide AI and machine learning roadmap (e.g., personalization, churn prediction, pricing models) to enhance customer experience and drive competitive advantage. Work with data … behaviours, and regulatory frameworks Commercially minded, able to link data to business performance and strategic outcomes Demonstrated leadership in building, coaching, and scaling high performing analytics teams Knowledge of AI/ML applications in gaming and consumer facing platforms Technical proficiency: Required - Reporting/visualisation tools (Power BI/Tableau, etc.). Nice to have - SQL, Python, R and modern More ❯

About the role: As our Lead Data Scientist , you will play a pivotal role in shaping and delivering data-driven solutions that power our regulatory scanning, analytics, and generative AI capabilities. You'll take ownership of complex data science problems end-to-end, from framing business challenges with stakeholders, to deploying production-ready solutions. We're looking for someone who … accountability. We are looking for someone who is energized by that environment and excited to build data-driven capabilities that support real-world impact at scale. Data Modeling, Gen-AI and Predictive Analytics Design, build and maintain data pipelines for ingesting and processing large volumes of regulatory data from diverse sources, both structured and unstructured. Develop models for data categorization … to efficiently manage and meet their regulatory obligations with our unique combination of human expertise and Regulatory Technology (RegTech) SaaS strategy. We deliver comprehensive, time-sensitive, and actionable regulatory intelligence across the globe. Today, the Vixio platform surfaces data and information on regulations spanning more than 180 jurisdictions worldwide to remove the risk of non-compliance in the gaming More ❯

non-technical audiences. Create and automate business intelligence dashboards, enabling self-serve reporting. Define meaningful metrics and KPIs, and build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across More ❯

deans, vice presidents, and department heads on data strategy, analytics, and governance. Establish and articulate the vision for the next generation enterprise data platform, ensuring it supports advanced analytics, AI/ML, and real time insights. Drive innovation through the integration of ML and generative AI within the university's data ecosystem. Design and oversee a robust data governance framework … capacity across the university by mentoring teams, championing best practices, and nurturing a community of data and analytics professionals. Oversee data integration solutions that enable cross functional analytics, business intelligence, and institutional research. Ensure continuous improvement through benchmarking, performance monitoring, and adoption of emerging data technologies. Required Qualifications: Education and Experience Bachelor's degree in data science, Computer Science More ❯

design through to deployment and continuous improvement. Balance evolving their core SaaS and data platforms with prototyping innovative new features and capabilities. Collaborate closely with Data Science and Business Intelligence teams to turn insights into actionable product features. Mentor and support less experienced engineers, fostering a culture of continuous learning and knowledge sharing. What you’ll need: Essential Experience … Familiarity with CI/CD practices and tools (GitHub Actions, Jenkins, GitLab CI, or similar). Understanding of RESTful APIs, microservices architecture, and modern database technologies. Experience using generative AI tools (GitHub Copilot, ChatGPT, Claude, etc.) to accelerate development and improve code quality. Experience with test automation frameworks (Cypress, Jest, or similar) Ability to communicate technical concepts clearly to both More ❯

design through to deployment and continuous improvement. Balance evolving their core SaaS and data platforms with prototyping innovative new features and capabilities. Collaborate closely with Data Science and Business Intelligence teams to turn insights into actionable product features. Mentor and support less experienced engineers, fostering a culture of continuous learning and knowledge sharing. What you’ll need: Essential Experience … Familiarity with CI/CD practices and tools (GitHub Actions, Jenkins, GitLab CI, or similar). Understanding of RESTful APIs, microservices architecture, and modern database technologies. Experience using generative AI tools (GitHub Copilot, ChatGPT, Claude, etc.) to accelerate development and improve code quality. Experience with test automation frameworks (Cypress, Jest, or similar) Ability to communicate technical concepts clearly to both More ❯

developing cutting-edge technologies and solutions that ensure UK security and defence. You will have the opportunity to work on ground breaking projects that involve the latest advancements in artificial intelligence, cybersecurity, and autonomous systems. Our commitment to innovation means you will be part of a team that is constantly pushing the boundaries of what is possible, making More ❯

equivalent. End to end knowledge of data warehouse and reporting processes. Ability to identify and implement process improvements in a controlled manner. Have strong consulting skills, having applied business intelligence and data analytics techniques in that context. Be very hands on, technically strong on data engineering, reporting and analysis. Be commercially savvy and articulate in 'data' story telling to … quickly. Ability to visualise data effectively and communicate findings and recommendations clearly. Proven experience of cloud technologies (AWS, MS Azure, GCP). Advantageous competencies (but not essential): Exposure to AI/ML. Exposure to the open source stack. Experience in price modelling techniques. Experience in managing a small data team and mentoring. Some exposure to behavioural data (eg Google or More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative … AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2–4 years in production-level AI/ML delivery. Legal/professional services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure … preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative … AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2–4 years in production-level AI/ML delivery. Legal/professional services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure … preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative … AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2–4 years in production-level AI/ML delivery. Legal/professional services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure … preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative … AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2–4 years in production-level AI/ML delivery. Legal/professional services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure … preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative … AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2–4 years in production-level AI/ML delivery. Legal/professional services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure … preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯

all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities * End-to-end development of AI/ML solutions. * MLOps practices: CI/CD, model monitoring, retraining. * Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). * Generative … AI features: embeddings, RAG, AI agents. * Clean, testable code with modern engineering practices. * Align with enterprise architecture and governance. * Collaborate with architects and stakeholders. * Lifecycle management of models. * Pilot emerging technologies. Experience & Skills * 2-4 years in production-level AI/ML delivery. * Legal/professional services experience is a plus. * AI/ML frameworks: PyTorch, TensorFlow, LangChain. * Cloud: Azure … preferred), AWS, GCP. * MLOps: CI/CD, model lifecycle, monitoring. * Generative AI: LLMs, RAG, chat agents. * Data engineering alignment: ETL, governance. * Strong coding, communication, and collaboration skills. * Strategic thinking, problem-solving, and stakeholder engagement. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its More ❯

Data Science Engineer – Azure | Databricks | AI Innovation Permanent | Birmingham (Hybrid) Amtis is proud to partner with an advanced, data-driven organisation — a business that’s not just talking about AI, but actively building intelligent systems powered by Azure, Databricks, and real-world machine learning applications. This is a hands-on engineering role where you’ll be at the core of … designing, developing, and optimising modern data platforms that enable predictive analytics, AI experimentation, and large-scale automation. You’ll work in an environment where data truly drives business decisions — not just dashboards. If you’re excited by high-volume, high-velocity data challenges and want to work on next-gen infrastructure that supports advanced analytics and AI workloads, this is … reusable data pipelines using Azure Databricks, Data Factory, and modern cloud tooling Developing secure, flexible data models and optimising performance across massive datasets Collaborating with data scientists to productionise AI models and accelerate experimentation Integrating diverse data sources through automated ingestion frameworks Driving CI/CD, version control, and testing best practices across data workflows Exploring AI-driven automation to More ❯

Junior Data Scientist – AI Start-up | GenAI Location: London [3 days p.week on-site] Experience: Graduate to 2 years’ experience Salary: DoE: £35,000 - £55,000 The Company Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs … . The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends. This is a unique opportunity for an ambitious early-career professional to join a small, fast-moving team and work directly with the founders building products at the cutting edge of AI, data science, and automation. The Role(s … contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world insights. While the focus is on data science, the team is also interested in applicants whose skills & interests lean more towards AI Agent More ❯