2,976 to 3,000 of 7,723 Machine Learning Jobs in the UK

experience Desirable Skills, Qualifications & Experience: Familiarity with modern Policy-as-Code tooling A passion for introducing and automating operational rigour and structure Experience supporting ML and Data Engineering workloads We offer the following salary and benefits: Competitive salary (dependent on experience) + travel allowance + bonus Enhanced holiday. Our annual ...

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 ...

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 ...

experience carrying a quota north of $2M ARR with documented attainment history Background in quantum computing, advanced simulation, EDA tools, HPC, or AI/ML infrastructure during its pre‐mainstream phase #J-18808-Ljbffr ...

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 ...

platforms, cloud infrastructure, open-source stewardship, and generative AI innovation.For over a decade, Bloomberg has been at the forefront of applying Artificial Intelligence, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which ...

using Azure, Fabric, Data Platform& DevOps preferred • Experience in designing and implementing cloud-based data and AI solutions with strong understanding of AI/ML concepts, frameworks, and lifecycle management • Proficiency with data integration, ETL, and data pipeline tools • Proven experience of designing and leading the implementation of data governance ...

pricing, risk, or electronic market making models.Database interfacing, data management and (pre-)processing (kdb, q, SQL).Experience of working with tensorflow and other ML packages.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional ...

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 ...

with Python, Perl, Shell, Makefiles, or similar scripting languages. Familiarity with data analytics, workflow automation, and AI-enabled engineering practices. Experience applying AI/ML-assisted tools to verification, debug, coverage closure, or engineering productivity workflows. Experience using Python-based frameworks and AI-assisted development tools to improve engineering efficiency. ...

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 ...

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 ...

your talents in the real world on challenging engineering tasks. Bonus Skills Experience with infrastructure‐as‐code (Terraform) Exposure to LLMs or AI/ML workflows in production Strong opinions on architectural trade-offs in microservices vs. monoliths Knowledge of security and data privacy best practices in regulated domains Engineering ...

performance and diagnostics/observability for system-level softwareExperience collaborating across teams on system integration and software releases for complex systemsExperience delivering AI/ML capabilities in productsUX skills including wireframing, prototyping, and user flow designMinimum QualificationsBachelors degree (required) with significant relevant experience; Masters or advanced degree (desired) with relevant ...

environments.Familiarity with policy-enforced execution, entitlements, and audit requirements for automated actions.Significant contributions to open source projects or published work in artificial intelligence and machine learning.Advanced degree in a quantitative discipline.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most ...

Data Hub, a centralized platform team, to be responsible for consolidating legacy data infrastructure, establishing enterprise data foundation and governance and enabling AI/ML capabilities across the organization. The Data Hub is moving from strategy to execution. We have a charter, a roadmap, executive sponsorship, and a clear mandate ...

with policy-enforced execution, entitlements, and audit requirements for automated actions. Significant contributions to open source projects or published work in artificial intelligence and machine learning. Advanced degree in a quantitative discipline.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

sales). You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.). Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non‐technical audiences. Hands‐on experience building and deploying AI applications (Python, JavaScript ...

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 navigating compliance frameworks relevant to European financial services and insurance (DORA, NIS2, SOC 2, PCI-DSS, and national regulators' guidance on AI/ML such as FCA/PRA, BaFin, ACPR, FINMA). A track record of leading complex, high‐stakes engagements with CISOs, security teams, and compliance officers ...

platforms, cloud infrastructure, open-source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying Artificial Intelligence, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms ...

scale. The harder cases are future scope: hashed identifiers without keys, duplicates across sources, device and behaviour signals. They start when we add dedicated ML engineering capacity, with no committed timeline yet. You’ll own the spec and acceptance for that work when it begins. Skills & Experience SQL. Expert level. ...

appropriate use casesExperience working with cloud platforms, APIs and modern application architectures. Experience of AI platforms operating at enterprise scale.Familiarity with data engineering, ML Ops or model lifecycle management practices.Experience with Microsoft AI Platforms and supporting technologies, including Azure AI Foundry, Microsoft copilot ecosystems.Familiarity with Oracle AI ecosystem.Strong stakeholder management ...

Python (or equivalent) for: Data engineering Automation Advanced analytics use cases Ensure the Data function delivers practical, business-relevant use cases, including: Forecasting improvement (ML-driven where appropriate) Supply chain and operational visibility Financial and operational KPI standardization Act as functional leader of Data expertise, with the expectation to: Guide ...

appropriate use casesExperience working with cloud platforms, APIs and modern application architectures. Experience of AI platforms operating at enterprise scale.Familiarity with data engineering, ML Ops or model lifecycle management practices.Experience with Microsoft AI Platforms and supporting technologies, including Azure AI Foundry, Microsoft copilot ecosystems.Familiarity with Oracle AI ecosystem.Strong stakeholder management ...