1,201 to 1,225 of 2,608 Machine Learning Jobs in London

scalable backend services that power our identity verification and fraud prevention products. You’ll work closely with Engineering, Product, Infrastructure, and Data Science/ML teams and take ownership of software from design through production. What You’ll Do Design, build, test, and operate backend services, APIs, and microservices. Develop ...

plus. Having OSWE OSCP, GWEB, GPEN or similar certificate is a plusExperience in Mobile Application Penetration Testing is a plusFamiliarity with AI&ML & LLM concepts, AI Red Teaming, AI Guardrails is a plus.#LI-HybridFortinet makes possible a digital world that we can always trust through its mission to protect people ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function ...

current with emerging AI tools and frameworks, introducing improvements to team workflows. Required Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands ...

product leadership for data‐heavy platforms or analytics products, with a solid understanding of data governance and pipeline design. Strong understanding of AI/ML feature productization, including how AI capabilities are evaluated, explained, and integrated, along with familiarity with AI connectors. Proven ability to manage roadmap trade‐offs ...

front office environment Academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM disciplinePreferred: Strong knowledge of AI/ML techniques, with experience delivering such models into production environments a plus Proficiency in Agentic design (LangChain/LangGraph), implementation, and hallucination management; experience with performance critical ...

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...

reporting standards. Thought leadershipAdvise customers on best practices in merchandising, pricing/promo, demand planning, store operations, and customer analytics. Translate AI/ML and analytics into clear business value narratives for executive stakeholders. Required Skills & Qualifications:5–10+ years of enterprise account management in SaaS/data/analytics ...

usability. Knowledge of security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). Experience in one of the following specialisms: AI/ML/Data/Cloud/M365/Security Architecture Experience in application architecture, software development and/or infrastructure architecture. Industry experience ...

usability. Knowledge of security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). Experience in one of the following specialisms: AI/ML/Data/Cloud/M365/Security Architecture Experience in application architecture, software development and/or infrastructure architecture. Industry experience ...

disconnected environments, including offline dependencies and moving artefacts across the boundary. Good instincts on secure development, authentication, authorisation and secrets management. Putting AI or ML models into production, LLM features included. Infrastructure as code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message ...

Cloud and infrastructure: AWS and/or GCP, Kubernetes APIs and services: REST, gRPC Distributed systems: event-driven architectures, including Kafka Agentic AI and ML Commercial and open-source LLMs integrated into agentic workflows Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation Strong schema, validation, and state ...

feature changes affect customer experience and business outcomes. Familiarity with AI‐driven products, tools, or workflows, including experience identifying opportunities to apply AI/ML capabilities to solve customer or business problems. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need ...

experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level. Experience delivering ...

JPMorgan Chase & Co. invites applications for an Applied Innovation Engineering role within the AI/ML group under the CDAO Technology umbrella. The team focuses on machine learning for software, cybersecurity and infrastructure, delivering production-ready solutions at scale. The role collaborates with engineers, data scientists and product ...

feature changes affect customer experience and business outcomes. Familiarity with AI-driven products, tools, or workflows, including experience identifying opportunities to apply AI/ML capabilities to solve customer or business problems. Accommodation requestsExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation ...

feature changes affect customer experience and business outcomes.Familiarity with AI-driven products, tools, or workflows, including experience identifying opportunities to apply AI/ML capabilities to solve customer or business problems.Accommodation requestsExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment ...

Gateway, Direct Connect, Route 53, and Gateway Load Balancer – Azure VNets, VNGs, ExpressRoute, vWAN, Load Balancer, and DNS)Experience designing and securing AI/ML infrastructure including AWS SageMaker, AWS Bedrock, Azure AI Foundry, Google Vertex AI, Databricks, GPU-accelerated compute, and model inference pipelinesExposure to unique threat landscape ...

EngineerSolutions Architect/Solutions EngineerTechnical or Implementation ConsultantStrong analytical and problem-solving skills with experience in: Data modeling, analytics, or business logic designAI/ML concepts or applied data workflowsProficiency with: Formulas, logic, and structured modelingProgramming (Python, SQL, or similar is a plus)Familiarity with: SaaS platforms or planning tools ...

track time and bill for hours worked on customer projects. Assist sales and sales engineering on technical prospect calls when required. Leverage AI/ML capabilities to enhance integration frameworks, solution design, system automation, and operational efficiency. Support the responsible use of AI-driven approaches in cloud-based solutions, DevOps ...

technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI-driven testing and integrating AI/ML into QA practices. Leadership experience, including guiding teams to deliver testing solutions, collaborating across multiple teams or territories, and using monitoring and troubleshooting tools ...

information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities – Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function ...

experience of financial industry, specifically in Back Office solutionsExperience working with Sales, Account Management, Product and Technology teams. An awareness of Artificial Intelligence and Machine Learning. An awareness of SaaS capabilities (IBM, AWS, Azure, GCP, etc.)Collaboration skills including working in complex matrix organizations. Applicants for this role should ...