401 to 425 of 18,117 AI Jobs in the UK

automate remediation of recurring issues to improve operational stability, acting as both Production Support and SRE function for data pipelines and platform services. Utilise AI tools to accelerate development and testing of data pipelines (e.g. GitHub CoPilot, Claude Code). Required qualifications, capabilities, and skills Proven experience in data management … aggregation techniques. Experience with data orchestration tools (Airflow, Step Functions, etc.). Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning). Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats. #J-18808-Ljbffr ...

enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve ...

enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve ...

automate remediation of recurring issues to improve operational stability, acting as both Production Support and SRE function for data pipelines and platform services.Utilise AI tools to accelerate development and testing of data pipelines (e.g. GitHub CoPilot, Claude Code).Required qualifications, capabilities, and skillsProven experience in data management, ETL/… financial data aggregation techniques.Experience with data orchestration tools (Airflow, Step Functions, etc.).Databricks or AWS certifications.Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning).Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats.J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

automate remediation of recurring issues to improve operational stability, acting as both Production Support and SRE function for data pipelines and platform services. Utilise AI tools to accelerate development and testing of data pipelines (e.g. GitHub CoPilot, Claude Code).Required qualifications, capabilities, and skillsProven experience in data management, ETL/… data aggregation techniques. Experience with data orchestration tools (Airflow, Step Functions, etc.).Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning).Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats.J.P. Morgan is a global leader in financial services, providing strategic advice ...

research, CRM data, product usage data and business performance metrics into clear, actionable insight. This role is designed to build future data science and AI capability while strengthening day-to-day reporting, dashboarding and evidence-based decision making. You will be responsible for turning customer, commercial and operational data into … evidence, helping the business move towards a more connected view of customer needs, behaviours and outcomes. You will have exposure to data science, automation, AI-ready analytics, cloud environments and customer data architecture. Responsibilities: Analytics and Insight Generation - Analyse customer, product, commercial and operational data to uncover trends, risks ...

Engineering, giving you strategic visibility and the authority to prioritize QCoE engagement across the portfolio. Your team will help engineering teams leverage AI-powered testing tools — intelligent test generation, test prioritization, self-healing test automation, and predictive quality analytics — as force multipliers. Teaching teams when and how to use these … maturity model to benchmark teams' progress over time and celebrate wins; create a culture where excellent automation practice is the norm, not the exception. AI-Enhanced Testing & Tool Evaluation Evaluate, pilot, and guide adoption of AI-powered testing tools and agentic solutions — including intelligent test generation, test prioritization, self-healing ...

enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights.DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams … Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.Machine Learning: Expertise in time-series forecasting, clustering, and correlation algorithms.Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain.Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure componentsAdditional Preferred Qualifications:Experience with enterprise observability ...

enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams … Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time-series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure componentsAdditional Preferred Qualifications: Experience with ...

SaaS systems, APIs, and public data domai ns.Translate complex datasets into clear visualizations and actionable insights that support decision-maki ng.Apply data science and AI techniques to enhance analytical outcomes and forecasting accura cy.Ensure data quality, integrity, and governance across all reporting and analytics activiti es.Responsibilit iesDesign, develop, and maintain … public data sourc es.Build and optimize data pipelines and ETL workflows for efficient and accurate data movement and transformati on.Apply data science and AI techniques (predictive modelling, clustering, regression, NLP) to uncover trends and enable forecasti ng.Design scalable data models and analytics frameworks to support self-service BI and advanced ...

reusable approaches, development standards & platforms that enable new data products to move from concept to production efficiently & safely. Explore & evaluate the responsible use of AI-assisted coding & development tools to improve, code quality & pace of delivery, as well as opportunities to integrate appropriate AI capabilities into digital & data products where … facing products. Lead products through the full software development lifecycle, including discovery, technical design, development, testing, deployment, monitoring, maintenance & continuous improvement. Explore& appropriately adopt AI-assisted development tools & other emerging technologies where they can improve developer productivity, quality or speed of delivery, while maintaining appropriate technical oversight & governance. About ...

knowledge and partnership with the most important and innovative software providers. Our portfolio also features cutting-edge laboratories and the development of Advanced Analytics & AI technologies. Why Join Us? We're looking for problem solvers, innovators, and collaborators who want to be a part of the mission to help … Qualifications Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Power BI Data Analyst Associate). Experience in consulting environments or client-facing roles. Knowledge of AI/ML integration within analytics platforms. Understanding of data mesh and data fabric architectures. Who we are #J-18808-Ljbffr ...

workflows, predictive models, and decision-support tools using SQL, R, Python, Power BI, and other approved technologies.Use automation, machine learning, natural-language processing, generative AI, or other emerging methods where they provide a justified, fit-for-purpose improvementData Quality, Assurance, and Lifecycle GovernancePerform data profiling, mapping, cleaning, transformation, source … report reconciliation, and root-cause analysis to confirm the accuracy, completeness, consistency, timeliness, and reliability of analytical outputs.Ensure analytical and AI-enabled solutions are appropriately governed through documented intended use, data lineage, testing, validation or assurance, access controls, version control, change management, human review, explainability, performance monitoring, and retirement planning ...

conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research We are focused on research and development, with a particular … experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs ...

predictive models, and decision-support tools using SQL, R, Python, Power BI, and other approved technologies. Use automation, machine learning, natural-language processing, generative AI, or other emerging methods where they provide a justified, fit-for-purpose improvementData Quality, Assurance, and Lifecycle GovernancePerform data profiling, mapping, cleaning, transformation, source … report reconciliation, and root-cause analysis to confirm the accuracy, completeness, consistency, timeliness, and reliability of analytical outputs. Ensure analytical and AI-enabled solutions are appropriately governed through documented intended use, data lineage, testing, validation or assurance, access controls, version control, change management, human review, explainability, performance monitoring, and retirement ...

Title: Data Engineer with AI knowledge - Associate ManagerSalary: Competitive salary and package (Depending on level of experience)Locations: London, Manchester, Birmingham or Bristol (must be willing to travel to client sites throughout the UK on an ad hoc basis) Please Note: Any offer of employment is subject to satisfactory BPSS … with team members to understand designs, functional requirements and triage issue · Stay engaged with the latest technological developments, especially in the fields of generative AI Qualifications We have a number of opportunities available from junior to senior level and we are looking for data engineers who have a variety ...

hackajob is partnering directly with Accenture to hire for this role. Job Title: Data Engineer with AI knowledge - Associate Manager Salary: Competitive salary and package (Depending on level of experience) Locations: London, Manchester, Birmingham or Bristol (must be willing to travel to client sites throughout … with team members to understand designs, functional requirements and triage issue - Stay engaged with the latest technological developments, especially in the fields of generative AI Qualifications We have a number of opportunities available from junior to senior level and we are looking for data engineers who have a variety ...

conducting state-of-theart foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems.Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. … experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs ...

interest in conducting state-of-theart foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex AI systems in a data-rich, complex academic environment driven by real-world problems.**Foundational Research** is the dedicated core Machine Learning research division of Thomson Reuters. … experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs ...

enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams … Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience ...

automated solutions. Lead testing, change management, and deployment activities to ensure quality, consistency, and successful adoption of reporting capabilities. Leverage automation, analytics, and AI-enabled solutions to improve data quality, reporting accuracy, operational efficiency, and user experience. Data Analytics and Reporting Insights Develop reporting analytics and visualization to identify reporting … well as benefits that can be tailored to what is valuable to you throughout different stages of your life. Demonstrates an understanding of AI concepts and frameworks, including awareness of responsible and ethical AI practices, and has experience generating effective prompts to boost efficiency and productivity Required Skills: Preferred Skills ...

will be responsible for engaging new and existing customers in the media, entertainment, broadcasting, and content creation sectors in transformative projects involving Data and AI Strategy, Migrations, and Modernisation. You'll work closely with ProServe Cloud Architects, Engagement Managers, and Delivery Consultants to drive customer success and business growth. … MediaPackage, Elemental, CloudFront) and broader AWS solutions- Understanding of industry trends including OTT/streaming, content supply chain modernisation, cloud-based broadcast workflows, and AI/ML-driven media applications- Strategic thinking and problem-solving skills with a bias for action- Excellent storytelling and active listening abilitiesAmazon is an equal ...

security, and platform services. Experience supporting classified or secure government environments. Strong understanding of hybrid cloud and on-premises infrastructure. Knowledge of Digital Twin, AI, and Machine Learning platforms. Experience with Kubernetes and OpenShift platform administration and architecture. Experience with multi‐cloud environments. Strong knowledge of DevOps, DevSecOps, Platform Engineering ...

programming language(s)Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversightExperience in Computer Science, Computer Engineering, Mathematics ...

programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...