651 to 675 of 10,093 Permanent Artificial Intelligence Jobs

Investment Banking Client is seeking a Senior Technical SME to lead the architectural design of M365 Copilot services . This role is pivotal in shaping the future of our AI-powered assistant solutions, ensuring alignment with Client enterprise architecture standards, security policies, and business goals. Architecture Design & Governance Design and maintain the end-to-end architecture of Copilot services, including … in strategic discussions and decision-making forums. Innovation & Strategy Stay up to date of Microsoft’s roadmap to assess new functionalities and proactively recommend enhancements. Monitor emerging trends in AI, LLMs, and digital assistant technologies. Drive innovation in service design, user experience, and intelligent automation. Contribute to long-term strategic planning for Copilot services and related platforms. Qualifications & Experience: Bachelor … s or master’s degree in computer science, Engineering, or a related field. Proven experience in designing and implementing enterprise-scale AI/ML or intelligent assistant platforms. Proven experience with cloud-native architecture (preferably Azure), microservices, and API design. Strong understanding of M365 Copilot service architecture, prompt engineering, vector databases, and orchestration tools. Familiarity with enterprise integration, M365 ecosystem More ❯

our people. If you want to be part of tomorrow's health today, we want to hear from you. Are you ready to lead the charge in transforming enterprise AI initiatives? As a Senior Machine Learning Operations Engineer at McKesson, you'll be at the forefront of our big bet AI projects, harnessing the power of machine learning to drive … design and review model architectures but also ensure the seamless integration and performance of these applications. If you're passionate about pushing the boundaries of what's possible with AI, this position offers a playground of opportunities. Responsibilities: End-to-End ML Engineering: Engage in a wide array of ML engineering activities, from Ops and Modeling to Data Engineering, ensuring … automation and monitoring, to ensure successful model deployments. Governance and Best Practices: Manage code to minimize vulnerabilities, govern models from a risk perspective, and adhere to Responsible and Explainable AI principles. Programming Proficiency: Utilize Python, Rust, C++ to develop high-quality, maintainable code. Qualifications: 7+ years industry experience 4+ years programming experience with Python. Rust and C++ are nice to More ❯

fault detection, revenue analytics, and predictive maintenance. Integrate SCADA, IoT devices, and security systems (CCTV, drones). Collaborate with engineers and field teams to deliver and commission systems. Apply AI, IoT, and cloud technologies to enhance performance and innovation. About You Strong software engineering background (Python, C++, JavaScript, etc.). Experience with industrial automation, IoT, or energy systems . Familiarity … tracking of generation, storage, and grid export/import metrics. o Fault Detection & Diagnostics: Automated identification, logging, and reporting of technical issues at string, inverter, or system level, with AI-assisted root-cause analysis. o Revenue Analytics: Monitoring energy yield, performance ratios, and revenue generation by site, asset, or region, with trend analysis and forecasting tools. o Maintenance & Service Scheduling … commissioning, and handover of monitoring systems on-site and remotely. · Provide technical documentation, training, and ongoing support for internal teams and clients. · Stay at the forefront of emerging technologies (AI, IoT, edge computing, drone data integration) and advise on innovation strategies for future upgrades. System Scope & Capabilities The monitoring system developed will be expected to cover the entire lifecycle and More ❯

our growing team building intelligent, scalable, and secure applications powered by AI. You'll work across the full stack using modern web technologies and contribute to a platform where AI is deeply integrated into the user experience and engineering workflows. This role offers the opportunity to deepen your technical skills, expand your experience with cloud-native and AI-integrated systems … such as PostgreSQL. Experience working with cloud infrastructure, preferably with Azure or Vercel. Solid understanding of software engineering principles, web architecture, and performance optimisation. Familiarity with integrating and consuming AI models via APIs. Experience building and consuming RESTful and/or GraphQL APIs. Knowledge of automated testing frameworks (e.g., Cypress, Playwright) and best practices for test-driven development. Experience with … skills, with a proven ability to collaborate cross-functionally and explain technical concepts to non-technical stakeholders. Nice to have Proficient in the use of advanced development environments and AI-powered tooling such as Cursor, with an emphasis on increasing velocity, improving code quality, and leveraging contextual AI assistance in day-to-day engineering workflows. Exposure to incorporating LLMs into More ❯

SNS, Aurora DB with MySQL, Redis. Expertise in server-side development using Hibernate, Spring, Spring Boot in Java including server-side testing using JUnit, Mockito/EasyMock. Experience with AI-assisted development tools (GitHub Copilot, ChatGPT, Claude, or similar) and ability to effectively integrate generative AI into the software development lifecycle for code generation, debugging, and optimization. Good to have … experience in "Vibe Coding" methodologies - rapid prototyping, iterative development, and creative problem-solving approaches that leverage AI assistance to accelerate development velocity. Proven track record of driving technical innovation within development teams, including evaluation and adoption of emerging technologies, process improvements, and mentoring others on cutting-edge development practices. Demonstrated experience with multi-tier web application development. Hands on experience More ❯

bring new ideas to the table and be part of a team working on innovative technology, come and join us. Job Description We are currently seeking an innovative Senior AI/Machine Learning Engineer to join UnderwriteMe within the AI-Engine team. This role is pivotal in driving the creation of an innovative product set to disrupt the insurance market. … OKRs (Objectives and Key Results), fostering collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets. Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process, and directly working towards those. Crafting and … dependability and accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning More ❯

Overview From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read - both at home and at work. If you're reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment … high-quality video production remains complex and challenging to scale-until now . Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether … from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. Role Overview Synthesia is building a modern, AI-powered back office. We are hiring a full-stack engineer to design and run the data layer that powers Finance ensuring data from finance systems land securely in a data More ❯

a modern Python stack, consistently shipping high-quality code every sprint. Advance our IDP platform's capabilities in line with the product roadmap, with a strong focus on enhancing AI-driven document understanding (e.g., data extraction, classification). Ensure best coding practices, including robust testing and thorough code reviews, are implemented and upheld within the IDP development lifecycle. Work closely … with other engineers (AI, front-end, infrastructure) and product teams to align all development efforts and deliver cohesive IDP solutions. Solve complex technical problems and eliminate performance bottlenecks within the IDP services, ensuring reliability for high-volume, low-latency document processing. Design, build, and maintain core, scalable, and reusable components of our Python-based Intelligent Document Processing pipelines. The Person … cloud service providers to deploy multi-tenant infrastructures , managing and segregating user access control. Understanding of containerised applications orchestration, including inter-service communication. Desirable Skills: Interest or familiarity with AI is a plus, given the nature of the product Familiarity with Agile development processes including daily stand-ups, weekly catch-ups, retrospectives, and hybrid approaches. Behavioural Competencies: Accountability: Takes ownership More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

has a dedicated R&D function made up of Research Fellows and DNA colleagues. The R&D team explores how new tools and ideas across data science, analytics and AI can be applied in industry. Our Values We believe in the power of diverse perspectives and collaborative teams to drive innovation. Our team comes from a wide range of backgrounds … your first day solving some of the world's biggest challenges. This will include: Designing solutions for complex problems using the latest research in data science, advanced analytics and AI Implementing prototypes and measuring their effectiveness Engaging in discussions with colleagues to share ideas and show results Your contributions will be crucial for creating cutting-edge products and carrying out … sector Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information Why Join us? Expect a steep learning curve, as no two weeks are ever the same: You'll have access to the More ❯

Cloud consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered by our people. We … s site. How You'll Shape Our Success The purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised … learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience with MLOps Collaborative, proactive, logical, methodical, and attentive to detail Excellent communication skills (verbal and written) Collaborate with clients to understand their business problems and design technical solutions using machine learning models Develop and More ❯

role focused on demonstrating and clicking through a piece of vendor software. You will collaborate closely with our customers, understanding their needs and goals, effectively demonstrating how Constructor's AI-Powered eCommerce Search and Product Discovery Platform can be optimized to meet and exceed their expectations. Your strong technical background, combined with effective communication and a penchant for problem solving … to comprehend complex data structures and prescribe best practices to optimize them Familiarity with data science and statistics principles, A/B testing methodologies and analytics Ability to explain AI and Machine Learning concepts to both technical and non-technical audiences This role is ideal for someone who can bridge the gap between engineering and business teams, ensuring seamless communication … best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is More ❯

UK Salary : Up to £65,000 Start Date : ASAP Security Clearance : Must be SC Cleared About Us My client is a dynamic and innovative team at the forefront of AI and cloud computing, delivering scalable, intelligent solutions that drive real-world impact. Their expertise spans analytics and AI services across sectors including finance, government, life sciences, private sector, and sport. 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 ❯

into ingestion, transformation, and delivery pipelines. Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements. Lead initiatives to modernize workflows-advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements. Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work. Stay ahead of industry … Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations. Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation. Exposure to Agile methodologies such as Scrum or Kanban. Awareness of emerging trends in Private Markets data, including 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 ❯