2,051 to 2,075 of 3,531 Machine Learning Jobs in the UK

maintainable systems. Experience with Salesforce (e.g., Core platform, Sales/Service/Marketing Cloud, integrations, or Apex best practices). Experience applying AI/ML in engineering workflows (e.g., coding assistants, test generation, anomaly detection, intelligent routing) or product features. Background in leading distributed teams and large‐scale refactoring ...

Application software Ability to understand a broad set of applications from traditional x86 processing use-cases to emerging applications in AI Inference and Machine learning. Ability to break down large complex problems into manageable deliverables and be able to manage and prioritize requirements from many stakeholders. Beneficial to have ...

feedback and outcomes SKILLS & EXPERIENCE WE’RE LOOKING FOR 7–10 years of experience in Financial Services or Product Management Experience applying AI/ML or data‐driven solutions within financial or investment workflows Ability to translate investment problems into AI‐enabled product opportunities Experience leading rapid prototyping and delivering ...

data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking ...

data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking ...

data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking ...

/UAT, rollout, post-release support, issue investigation, and contributing to controls/monitoring and broader e-trading architecture Identify and implement AI/ML-driven workflow improvements that enhance trader experience and deliver measurable business outcomes To be successful in this role you should have: To be successful ...

expert in modern data technologies, cloud infrastructure, and advanced data modeling methodologies.* Demonstrates a deep understanding of how data structures impact downstream AI/ML, advanced analytics, and business intelligence.**Qualifications****Education/Experience*** Extensive Experience: Leading the development, continuous improvement, and execution of complex enterprise data architectures and data ...

data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions. Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives. Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking ...

stability of services relied upon by millions. As a Lead Software Engineer - Site Reliability Engineer, Operations Excellence at JPMorganChase within the AI/ML & Data Platforms area, you will serve as a technical leader at the intersection of software engineering and reliability engineering — owning the incident management lifecycle, defining reliability ...

solutions as well as deliver them, from reference architectures and integration patterns through to production rollout and adoption.* Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation.* Strong grasp of responsible AI, security and compliance ...

coordinating incident response activities Experience working alongside DevOps, platform, or infrastructure engineering teams Experience with monitoring, observability, and logging systems Experience supporting AI/ML or high‐performance computing environments Understanding of identity and access management concepts Experience building or scaling operational processes or support functions Experience managing and maintaining ...

advanced threat detection programmes Own the vulnerability management programme Implement enterprise frameworks including IAM, SIEM, and data classification Anticipate emerging threats, leverage AI/ML for predictive security, and set the technology vision Lead the Security Incident Response Programme Governance, risk, and compliance (GRC) Define and own the GRC programme ...

technology. Step into PredictX, where we don't just see AI as a fashionable bandwagon to hop on but have lived and breathed AI & ML in every aspect of our product for the past decade. As an Enterprise SaaS provider, we're revolutionising critical decision-making for many ...

knowledge of the language specification and thorough knowledge of the standard library, STL containers, and algorithms. Has experience developing, integrating, or deploying AI/ML-powered solutions and is familiar with Large Language Models (LLMs), AI-assisted development tools, and modern AI frameworks. Has understanding of AI system architecture, prompt ...

operationally. What you’ll bring Proven executive leadership building partner engineering teams within enterprise software ecosystems Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures. Experience launching production‐hardened joint solutions with hyperscalers and GSIs with measurable revenue ...

assisted document editor Track record Engineering depth, not just exposure. Four or more years building production software, with meaningful time spent on AI/ML systems at a venture‐backed startup or top tech firm -not as a side project, as the core of the work. You’ve shipped things ...

single agent session. Failure-mode analysis — instrumenting agents, reading traces at volume, surfacing patterns engineering can act on. Essential 4+ years shipping AI/ML products in a startup or applied industry setting, with recent hands‐on experience with LLMs and agentic systems. Demonstrated depth in at least ...

systems as well as front-end systems to enable our advertisers seamlessly advertise on our platform. You will lead, guide and mentor software engineers, ML engineers, and software managers. This role is based in our London office with a hybrid setup, typically 3 days in the office, and will ...

expert in modern data technologies, cloud infrastructure, and advanced data modeling methodologies. Demonstrates a deep understanding of how data structures impact downstream AI/ML, advanced analytics, and business intelligence. Qualifications Education/Experience Extensive Experience: Leading the development, continuous improvement, and execution of complex enterprise data architectures and data ...

GenAI, and large-scale platform re‐platforming. Our operating model is built around six functional pillars – Solution Architecture; Enterprise Architecture & System Design; ML, AI & GenAI; Data Architecture; Cyber Security; and Cloud & Infrastructure. Each team member develops deep expertise in one or more pillars, leading upskilling for colleagues so that ...

enabled automations, threat modeling, design reviews. Build secure-by-design IaC modules for Landing Zones, Control Tower customizations, Zero-Trust architectures, and AI/ML workloads. Lead the design, deployment, and implementation of AWS security controls, continuous compliance monitoring, evidence collection, and remediation of insecure configurations to scale with automation. ...

Experience using Codex, Claude Code or similar to ship working solutions (this may be in personal projects) Broad understanding of AI technology (LLM vs ML) and relevant patterns, approaches, etc Technical fluency to read API specs, use Postman and troubleshoot error scenarios Familiarity with Git version control ...

with real-time personalization, push notification pipelines, or cart-abandonment/trigger-based marketing systemsKotlin and Node/Javascript or Java/ScalaFamiliarity with ML model serving in streaming contexts (feature stores, real-time inference)Prior work at a data platform, CDP, or martech companyHow You'll WorkThis ...

Principal Consultant at a B2B SaaS company, cloud provider, or top-tier consultancy serving financial institutions. You have designed architectures involving AI/ML or Generative AI workloads in production. You hold relevant certifications (e.g., AWS Solutions Architect Professional, TOGAF). You have experience responding to enterprise RFPs and security ...