551 to 575 of 8,931 Artificial Intelligence Jobs in England

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as ACI PRM (Proactive Risk Manager), SIRA, SONAR, ThreatMetrix, Mitek, and CIFAS. In-depth … accuracy in data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in Financial Crime, Fraud, or Cybercrime is desirable. Exceptional candidates without formal More ❯

about data, experimentation and emerging technologies in machine learning and AI. These are some of the key ingredients to the role Lead and conduct research into advanced ML/AI methods, causal inference (A/B testing) and experimental design, applied to Retail Media challenges. Prototype and evaluate algorithms for audience segmentation, recommendation, targeting, and campaign optimization. Collaborate with data … data science and engineering community at JET. What will you bring to the table? Proven experience as a research-focused data scientist, with a track record of applying ML, AI, or statistical methods to complex, real-world problems and building and deployment of these models into production. Strong background in machine learning, causal inference, experimentation, or recommendation systems. Demonstrated ability More ❯

globally. Your innovations will directly power breakthrough solutions that identify critical decarbonisation opportunities across entire industries and supply chains. You'll push the boundaries of what's possible with AI-driven climate tech developing advanced models that process vast amounts of unstructured data to reveal hidden patterns in global emissions. You'll collaborate with our climate science team to translate … ML solutions Evaluate and recommend appropriate ML implementations by balancing upfront setup costs and effort against business value and company goals Guide the integration of out-of-the-box AI tools to enhance internal operations and support front-end use cases Stay up-to-date with the latest ML theory, techniques, and out-of-the-box tools Contribute to technical More ❯

globally. Your innovations will directly power breakthrough solutions that identify critical decarbonisation opportunities across entire industries and supply chains. You'll push the boundaries of what's possible with AI-driven climate tech developing advanced models that process vast amounts of unstructured data to reveal hidden patterns in global emissions. You'll collaborate with our climate science team to translate … ML solutions Evaluate and recommend appropriate ML implementations by balancing upfront setup costs and effort against business value and company goals Guide the integration of out-of-the-box AI tools to enhance internal operations and support front-end use cases Stay up-to-date with the latest ML theory, techniques, and out-of-the-box tools Contribute to technical More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and … best quality. Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or More ❯

techniques and their commercial application. Excellent communication skills with the ability to present findings clearly. A collaborative mindset and ability to thrive in a fast-paced environment. MSc in AI/ML, Data Science, Mathematics, Computer Science or similar discipline. IoT Data Scientist (Data Science & Data Engineering) Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit More ❯

dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯

dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯

dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯

dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯