1,476 to 1,500 of 9,829 AI Jobs

entire ML lifecycle—from automated training pipelines to real-time inference clusters—and serve as a key software engineering contributor to our AI product stack. This is a hybrid role – three days per week in our Newcastle office. Key Responsibilities Lifecycle & Pipeline Architecture : Design and own the automated “Continuous Training … apply SOLID principles to ML codebases to ensure they remain modular and maintainable. ML Observability : Establish and own the telemetry framework for the AI stack. Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy. FinOps & Cost Management : Own the strategy ...

breakdown technical problems Develops secure and high-quality production code, and reviews and debugs code written by others Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

heights.****Making animals’ lives better makes life better – join our team today!**As a Lead Engineer, you will be part of our Enterprise AI engineering team to deliver secure, reliable, and innovative AI solutions across our business. In this role, you’ll be responsible for advancing our modern technology stack … safety, curiosity, and creative problem-solving to drive continuous innovation.* Partner with Principal Engineers to define and execute the strategic technical roadmap for our AI capabilities.* Establish and enforce engineering standards, ensuring the platform remains stable, secure, and reliable while allowing for rapid experimentation.* Drive technical excellence across the team ...

will bring the rigour of an established data engineering team to our stack, ensuring our data is reliable, well‐documented, and ready to power AI‐driven products. End-to-end product development: Own the full product development lifecycle for assigned stakeholder groups — from requirements gathering and design to pipeline development … primary People Analytics partner for Business Partnering and Finance, responsible for both supporting existing products and delivering new ones. Machine learning and AI: Design, build, and deploy ML models and AI‐powered data products. Working from our People Analytics AI roadmap, you will identify high‐value use cases and deliver ...

About the companythe company is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, the company takes them from concept to production on a single, unified platform. … work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters. We’re a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India ...

About Dropzone AI Dropzone’s mission is to scale cybersecurity beyond human limits, and augment every single human security engineer/analyst with an army of AI security specialists. Humans alone cannot sufficiently protect our digital future, and AI augmentation is the only way for defenders to reclaim the high … ground. We are an award winning company disrupting the $200B+ cybersecurity market. Powered by Gen AI advancements, our technology offloads repetitive day‐to‐day work and frees human analysts to focus on real threats and higher‐value projects. We are venture‐backed, and our team has a rare blend ...

Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network—even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet, and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues before they … affect end‐user experiences. ThousandEyes is deeply integrated across the Cisco technology portfolio, delivering AI‐powered assurance insights within Cisco’s Networking, Security, Collaboration, and Observability portfolios. Our distributed Site Reliability Engineering team of approximately nine engineers owns the availability, latency, performance, efficiency, monitoring, emergency response, and capacity planning ...

Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs … effectiveness Champion the adoption of agile methodologies and technical solutions, fostering a culture of continuous learning and innovation within the team Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards. Required qualifications, capabilities, and skills Formal training or certification ...

high level of accountability and ownership. Critical thinking and practical decision-making abilities. Can-do, results-oriented mindset; collaborative and team-oriented. Interest in AI literacy and curiosity (Gen AI experience or curiosity is a plus). Nice-to-Haves Experience with AI-related initiatives or Gen AI exploration. Hybrid ...

analysis and programming activities, ensuring application design adheres to the overall architecture blueprint. Drive product quality and delivery through automation initiatives, especially in generative AI, targeting a fully automated platform with minimal manual QA intervention. Partner with management teams to define necessary system enhancements, deploy new products, and resolve high … field (Master's degree preferred). Proven relevant experience in applications development tech lead role with hands‐on Java programming skills. Experience with Generative AI (Gen AI) concepts and their application in product development or quality assurance. Proven experience in product ownership, quality assurance management, or a hybrid role within ...

engineering excellence as tools evolve and standards remain high. The team builds and operates platform services across multiple frameworks and domains – and increasingly uses AI tooling to accelerate parts of that work. Job responsibilities Contributes to the design and implementation of platform services and infrastructure, with emphasis on architecture, integration … patterns, and system reliability. Write, review, and maintain production code across stacks - whether that code originates from you, a teammate, or an AI tool. Apply engineering judgement to ensure it meets our standards regardless of its source. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

processes 8–9 million emails per month, supports hundreds of concurrent users, and is being modernised to scale to thousands of users whilst incorporating AI-driven classification and workflow automation.This role is ideal for someone who remains deeply involved in automation engineering and non-functional testing whilst providing technical leadership … configure and manage QA, UAT and performance testing environments. Define and implement quality gates across CI/CD pipelines. Execute hands-on testing of AI-powered classification and workflow automation capabilities. Perform root cause analysis of complex defects, performance bottlenecks and stability issues. Work closely with Java Developers, DevOps Engineers ...

annum Location: London What the role covers: Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections. Building and automating a security testing framework to validate protection mechanisms for various LLM use cases. Owning solutions that …/or Go, and associated tooling (Git, Maven, IDEs, Jenkins etc) Expertise in designing and implementing secure APIs and libraries. Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus. Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps. Experience ...

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading … This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation ...

Company description: Water Utility Company based in Yorkshire region of England. Job description: Solution Architect Integration?& AI Hello! Thanks for stopping by. Let us tell you about all the great reasons to join us here at Yorkshire Water: We offer a competitive salary, depending on experience … week Bradford/Leed s) Work type: Permanent. 37 hours per week, Monday Friday. We have an exciting opportunity for a Solution Architect Integration?& AI to join the Technology team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers. Could ...

Security, and application engineering teams to ensure alignment with developer needs and organizational priorities. Foster innovation by evaluating and adopting emerging technologies, including AI‐assisted build optimization and intelligent failure diagnosis. Define and track key metrics such as build success rate, duration, cost efficiency, adoption rates, and developer satisfaction … repositories (e.g., Artifactory, Nexus) and secure software supply chain practices. Knowledge of observability systems, telemetry frameworks, and performance optimization for build pipelines. Exposure to AI/ML‐driven build acceleration and failure prediction tooling. **NOTE:** This line seems malformed; correct closing tag below. Exposure to AI/ML‐driven build ...

optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting‐edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary … will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business‐critical predictions such as client pricing, to handling vast data sets using J.P.Morgan's Cloud capabilities or optimal hedging policies ...

hybrid solutions leveraging Accenture’s extensive partner ecosystem. You will own executive relationships and be commercially accountable for shaping and leading programmes, using AI and agentic architectures to accelerate decisions and delivery. Agentic-first delivery: Design solutions where governed AI agents support repeatable analysis and deliver workflow to reduce toil … governance: Own architecture decision‐making for large programmes, including review boards, guardrails, standards, and alignment to delivery, regulatory, and audit requirements. Agentic and AI-enabled architecture: Lead designs that incorporate GenAI and LLM platforms for example Claude, OpenAI, Gemini or equivalent alongside agent orchestration and tool use and design scalable ...

ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate … identifying repeating delivery patterns, submitting structured product feedback, and building reusable implementation frameworks that minimize future custom work. Working agentic-first by integrating AI tools across the entire delivery lifecycle while setting clear quality validation standards for AI-generated outputs. Elevating team performance by mentoring junior engineers, shaping hiring standards ...

teams and supplier security assessments. Familiarity with CAF, CE+, NIST, CIS Controls, ISO 27001. Strong incident response, analytical, and problem solving skills. Knowledge of AI/ML risks and AI governance. Experience with phishing campaigns, penetration testing, and remediation. Understanding of healthcare data protection, ideally NHS/UK standards. Excellent ...

ensure Engineering teams deliver secure digital products. To manage a centre for AI excellence for practical and ethical values. About Our Client Marie Curie plays a leading role in shaping the end of life system across the UK; driving research, influencing public policy, campaigning for change, and fighting for better … executive team. This role has accountability for: Data and Insights engineering. Web and digital channel product engineering. CRM and Microsoft Dynamics development. An AI Centre of Excellence (AI CoE) focused on practical, ethical value. Engineering standards, platforms, and ways of working. The technical architecture of the organisation. Key Relationships Reporting ...

Senior Full Stack Developer specialising in C# .NET, you will be a pivotal member of our Software Development team in Clearing Technology, driving an AI-first approach to the creation and enhancement of secure, responsive web-based platforms. Marex is a full clearing member of major financial exchanges – across energy … commodities, metals and financial markets. You will leverage modern AI-assisted development tools and practices to accelerate delivery, improve code quality, and enhance developer productivity, while ensuring solutions meet the high standards of control, auditability, and reliability required within financial systems, including compliance with SOX (Sarbanes‐Oxley) requirements. Your expertise ...

land. You will pair technology strategy with the change, communications and adoption craft needed to turn Copilot licences into everyday productivity and a genuinely AI-enabled workforce. In this role you will play a key part in:Setting the Copilot adoption strategy: Shaping a clear strategic vision for Microsoft Copilot … spanning Microsoft 365 opilot, Copilot Chat, Agent Builder, Copilot Studio and emerging workplace AI capabilities such as Cowork and Scout - aligned to security, data and automation capabilities.Driving adoption: Designing and delivering user-centric change and adoption campaigns at scale that tackle AI scepticism, build capability and embed new ways ...

remediation for recurring issues to improve operational stability. Establish and execute test strategies for latency, throughput, and resiliency. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Lead the development of market access trading and risk management modules. Participate across ...

Data Engineer | London Location: London (Hybrid 4 days in office: Monday, Tuesday, Wednesday) Salary:** £55,000 £75,000 (DOE) Ref:** J13073 A fast-growing AI SaaS company is building the data backbone behind its analytics and machine learning products and is looking for a Senior Data Engineer to take ownership … Azure** * Comfortable working with messy, large-scale datasets * Strong ownership from design through to deployment A strong opportunity to shape the data foundations behind AI products in a high-growth, modern engineering environment where **SQL is central to success**. *Applicants must have the right to work in the UK. ...