51 to 75 of 153 Machine Learning Jobs in the City of London

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering ...

London is seeking a Senior Machine Learning Engineer to build production-grade AI agents and scalable ML-powered services. You will design, implement, and monitor agentic systems that automate complex underwriting decisions, collaborating with data scientists and software engineers in a fast-paced Data & AI unit. The role ...

secrets management and credential handling practices. Deliver end-to-end data flows from source ingestion through governed and curated data layers, supporting analytics, BI, machine learning and application consumption. Required Technical Skills: Azure & Databricks Platform: Deep hands-on Azure Databricks implementation, administration and troubleshooting experience. Databricks Serverless architecture … workloads from POSIT/RStudio to Databricks. Migration of analytical and data science solutions, including conversion of R-based workloads and libraries. AI/ML experience, including LLM integration, RAG/vector retrieval, model serving and model lifecycle management. Experience delivering large-scale platform transformation programmes. Strong Azure and Databricks ...

teams - Evaluate new technologies and tools - Support and mentor colleagues within a collaborative environment About You: - 5+ years' experience in data, analytics, AI or machine learning - Strong technical skills (Python, SQL, data pipelines) - Experience with AI technologies (e.g. LLMs, vector databases, Azure/OpenAI tools) - Proven ability ...

etc. DevOps experience – CI/CD, Test Automation, Containerization – tools and processes Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands‐on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech ...

highly experienced AI Lead who combines deep technical expertise with team leadership. In this role, you will design, build, and maintain AI/ML capabilities, models, and LLM‐powered solutions that power our products and customer experiences. You will lead a squad of AI engineers and data scientists, ensuring high … role, with approximately 70% focused on technical delivery and 30% on team leadership and process optimisation. What you’ll be doing Deliver AI/ML Capabilities Design, build, and deploy scalable AI/ML models, APIs, and LLM‐based solutions (e.g. agents, chatbots) Ensure solutions are secure, reproducible, and aligned ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. Metrics & Analytics Platforms,withinThe Core Engineering, isresponsible for the measurement and management of the firm’s risk, capital ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

handle high-pressure production incidentsDesiredExperience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysisProven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutionsHands-on experience with containerization technologies such as Docker and Kubernetes, including cluster ...

pressures production incidents Desired Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

will be considered Financial services/asset management exposure is a plus, not a prerequisite — as is any experience with AI-assisted analytics or ML use cases A proactive, curious mindset with strong communication skills and attention to detail Degree in a quantitative field (Data Science, Computer Science, Business Analytics ...

APIs, and event‐driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications ...

team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. You will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict … cohort design through to interpretation, so experiments are analytically tractable and pipelines maximise data value. Contribute to the evaluation framework that determines whether ML models capture meaningful biology: design metrics, held-out benchmarks, and biological sanity checks. Collaborate closely with ML modellers to develop model architectures. Present findings and methodologies ...

dashboards that enable customers to interact with large‐scale risk and analytics data in real time. You will work across the stack, collaborating with machine learning and backend engineers to ensure interfaces are reliable, secure, and intuitive. The focus is on building scalable UI solutions that meet strict … with backend inference APIs, behavioural signals, and analytics services Implement secure UI patterns, role‐based access controls, and compliance‐aware data presentation Collaborate with ML engineers to surface model insights and AI capabilities through well‐designed interfaces Own DevOps responsibilities for front‐end services, including build pipelines, deployment, monitoring ...

Strong stakeholder management and workshop facilitation skills. Experience working within Agile product delivery environments. Excellent communication and leadership capabilities. AI & Data Experience delivering AI, Machine Learning or Advanced Analytics solutions. Understanding of Generative AI and Large Language Models (LLMs). Experience converting business requirements into AI use cases. ...

networking . Ability to take ownership of production systems and drive continuous improvement initiatives. Desirable: Microsoft Azure experience. Experience deploying and supporting AI/ML applications in production environments. Exposure to Large Language Models (LLMs), NLP, or agent-based systems. Experience with observability and monitoring tools such as Sentry , Prometheus ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...

Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful ...

We are looking for a AI Engineer Location : London Area, UK (hybrid) Mandatory skills : LLM, Google Cloud platform, Python. Experience: 6+ years in AI Engineering As an AI Engineer. You will develop and deliver LLM ...

Understanding of data architecture concepts, including data warehousing and data lakes. Exposure to cloud computing environments such as Microsoft Azure. Exposure to predictive analytics, machine learning, AI-enabled analytics or advanced statistical methods. Experience working with customer, commercial, subscription, product usage or behavioural datasets. Behaviors and Mindset: Demonstrates … reliable. Works collaboratively across Customer Insights, Product, Commercial, Technology and Data teams to build a more joined-up view of the customer. Shares learning openly, seeks input from others and helps translate business questions into clear analytical approaches. Acts with agility by adapting to changing priorities, working through ambiguity ...

business applications. Contribute to the implementation and embedding of new tools, processes and AI-driven ways of working. Requirements: 2+ years' experience in AI, machine learning, data science, analytics, quantitative research or a related field. Exceptional candidates from alternative backgrounds will also be considered. Working knowledge of tools ...

solutions Familiarity with sanctions screening obligations and techniques Strong analytics experience, and can articulate and visualize complex data/analyses to stakeholders Exposure to machine learning/AI (for unusual behavior detection) Prior Transaction Banking/Commercial Banking or Financial Crimes experience Job Info Job Identification ...

operate as a business, rather than being treated as a standalone specialism. You should understand the fundamentals of Generative AI, agentic AI, machine learning and AI-enabled automation sufficiently to manage programmes where these capabilities form part of the solution. Experience delivering AI, automation or data-enabled transformation ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...