101 to 125 of 142 Machine Learning Jobs in the City of London

leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed’s open and AI-powered observability platform and solutions optimize digital experiences and greatly improve IT efficiency. Riverbed also offers industry … internal and external players through complex sales cycles and buying process. What we offer Our employee benefits including flexible workplace policies, employee resource groups, learning and development resources, career progression pathways, and community engagement initiatives are some of the reasons why we have had great success in bringing ...

senior stakeholders across business and technology Ensuring AI products are commercially valuable, scalable and responsibly governed You will need strong experience delivering data, analytics, machine learning or AI products within a complex organisation. Financial services experience would be highly valuable. This is a rare opportunity to help shape ...

will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically in validating AI and machine learning applications within financial services You possess a deep understanding of financial risks and can articulate how AI impacts and mitigates these challenges ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

environments. Key Responsibilities - Monitor and evaluate emerging IAM trends (e.g., passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response ...

written communication skills Strong internal motivation and a continual desire to learn Bonus Points Collaborated with quantitative researchers A working knowledge of high-level machine learning concepts and lifecycle Experience with functional programming and immutable design principles Worked in Cython and effectively integrated C++ and Python stacks #J ...

primary product-facing representative to AI customers. Conduct customer discovery sessions to understand training data requirements and emerging market opportunities. Monitor developments across AI, machine learning, computer vision, robotics, and multimodal AI and update the wider business. What we’re looking for Recent hands-on experience building data ...

privacy issues relating to cookies, digital advertising, direct marketing, profiling, analytics and consent management . Familiarity with privacy and governance considerations arising from AI, machine learning, automated decision-making and emerging technologies would be advantageous. Experience engaging with the ICO or other European data protection authorities would ...

define architectures, review designs, and mentor engineers while engaging with senior executives. This hands-on leadership role requires deep technical expertise in AI/ML, software engineering (Python/TypeScript), and cloud platforms, plus strong consulting skills to #J-18808-Ljbffr ...

parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions … scalable security solutions for both enterprise and product environments. Key Responsibilities Lead and mentor the security and compliance team, fostering a culture of continuous learning and collaboration. Develop and maintain a comprehensive security strategy that covers both enterprise systems and product development. Partner with product teams to integrate secure ...

Head of Security Architecture with deep expertise in AI systems to design, implement, and maintain secure architectures for enterprise security, AI initiatives and machine learning deployments across the organisation. This role will define technical security standards, reference architectures and implementation frameworks that protect both traditional IT environments ...

roadmap aligned to business objectives and growth ambitions. Design, build, and deploy AI proof-of-concepts and pilot solutions, including generative AI, automation, and machine learning use cases. Gather stakeholder feedback, measure impact, and support adoption through change management and best-practice guidance. Requirements Proven experience developing ...

processes and a strong employee experience. We’re Looking For: 7+ years of proven HRBP experience supporting technical teams (Engineering, Hardware, Software, AI/ML). Strong capability in org design, workforce planning, manager coaching, performance management, and employee relations. Comfort operating in ambiguity and driving clarity in fast-moving ...

chain solutions (LLamasoft, Kinaxis, o9, Anaplan etc) Experience using or helping to implement Supply Chain Analytics solutions (modelling, data analysis, visibility) using AI or Machine Learning. Ideally Supply Chain experience gained in an industry that manufactures and distributes its own products such as FMCG, Pharmaceutical, Petrochemicals, Electronics, Automotive, Aerospace ...

challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work in digital engineering, data and analytics, cloud, and AI/ML, building practical, scalable solutions grounded in real business needs and human impact. We support clients across high tech, financial services, healthcare, life sciences, retail, energy … Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning. Advanced Tech Communities Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks. SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless ...

tech lead or staff engineer at a SaaS or enterprise software vendor with a forward‐deployed or professional services motion. Experience with AI/ML platform deployments or data‐heavy enterprise applications at scale. Familiarity with major cloud environments: AWS, Azure, or GCP, including managed ML/AI services. Experience ...

expand AI professional services offerings, contributing to go-to-market strategies and pre-sales activities including proposals and solution positioning Collaborate with Data Scientists, ML Engineers, and cross-functional teams to deliver end-to-end AI solutions that combine technical excellence with business impact Drive innovation by contributing … internal capability development REQUIREMENTS Proven track record of building and delivering large-scale AI systems from concept to production, with expertise in Generative AI, ML frameworks, and MLOps Strong consulting and advisory skills, with the ability to navigate ambiguity and maintain focus on client success in fast-paced environments Demonstrated ...

enterprise architecture, technical consulting, or technical pre-sales in Data and AI domains.Deep, hands-on technical expertise across enterprise data platforms, AI/ML, Generative AI, and agentic architectures — including Salesforce Agentforce, Data360, and the Salesforce platform.Demonstrated experience engaging C-level executives (CDO, CTO, CIO, CDAO) as a trusted technical … with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands-on familiarity with platforms like ...

technologies, including Generative AI and Machine LearningHands-on experience working with Large Language Models (LLMs)Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack.A proven track record architecting and designing scalable solutions that move from prototype ...

public sector environment from an agency or internal perspective. Expert understanding of the technology market, including software development, cloud, data, cybersecurity, AI/ML, and other emerging technologies. Demonstrated experience in building and executing talent acquisition strategies for critical and hard-to-fill roles. Proven experience working with senior business … collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. Were an inclusive employer, and we care about diversity in our teams. Let us know in your application if you have ...

based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands-on experience with AI-assisted development tools … Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable ...

JPMorgan Chase & Co. invites applications for an elite Applied Innovation ML Engineering role within the Chief Data Analytics Office (CDAO) Technology group. The position focuses on building scalable ML solutions for software, cybersecurity, and infrastructure, partnering across business lines to deliver long-term AI-driven projects. Responsibilities include delivering production … ready ML products, maintaining data pipelines, and driving architectural governance for secure, high-quality code. #J-18808-Ljbffr ...

maintain a competitive edge, with a particular focus on AI. Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team. Ideally, you should have... 7+ years of professional experience in Java development, with a focus on building client-facing APIs … mentoring diverse teams. Knowledge of building applications using AI tooling and frameworks (e.g. LLMs, prompt engineering, vector databases). Experience integrating AI/ML services into backend systems and APIs Familiarity with AI-driven development practices and tools for code generation and testing. Strong proficiency in Java and related frameworks ...

based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI‐specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands‐on experience with AI‐assisted development tools … Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...