1,026 to 1,050 of 2,566 Machine Learning Jobs in London

activations, secure data pipelines, and custom API connections. Deep expertise across Google's advertising platforms (Google Ads, GMP) and Google Cloud (BigQuery, AI/ML, Data Analytics). Ability to translate complex technical solutions into persuasive storytelling for executive audiences. Ability to bridge pre-sales agreement shaping, architectural foresight ...

solutionsHands-on expertise in system design, application development, testing, and operational stabilityAdvanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.)Ability to tackle design and functionality challenges independentlyDemonstrated experience with enterprise-authorized AI-assisted software development toolsStrong understanding of responsible AI use, including data ...

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

container orchestration. Experience mentoring other engineers and leading by example. Strong understanding of software architecture principles and system design. Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus. Excellent communication skills and a collaborative approach to problem solving. The Mindset We Value: Relentless Innovation ...

large enterprise cloud platforms for hundreds or thousands of users. Experience designing or maintaining distributed systems, secure networks, or infrastructure supporting autonomy, AI/ML, or big data workloads. Demonstrated ability to work across technical disciplines, influence without authority, and operate in ambiguous and fast‐paced environments. Experience working with ...

computer vision Implement user-facing frontends in TypeScript/React, working closely with product Design scalable APIs and systems that interface with our ML pipelines and edge device fleet Collaborate on infrastructure and architecture decisions from the ground up Tackle problems involving distributed systems, real-time processing, and high availability ...

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

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

expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise-authorized AI-assisted software development tools Strong understanding of responsible AI use, including ...

Celery/SQS). Strong Python skills. Familiarity with the Datadog/Grafana observability stack. A background in offensive security, CTFs, or AI/ML infrastructure. What We Offer Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company. Founding Impact ...

audit consideration for auditing the use of AI Proven ability to oversee risk assessments for technology systems and ensure emerging risks (e.g., AI/ML in payment monitoring, instant payments, ISO 20022 adoption, cloud migration, cybersecurity threats) are appropriately covered. Experienced in partnering with business, technology, and risk stakeholders ...

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

behaviour through to the interfaces clinicians touch. Compliance & Cybersecurity: Ensure AI deployments meet cybersecurity requirements and regulatory standards, including FDA guidance for AI/ML‐enabled devices. Reliability & Collaboration: Keep the deployed fleet reliable, and work directly with hardware, product and clinical teams to diagnose and resolve issues quickly. ...

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 ...

driving our Payments data strategy, and creating innovative data-driven products for our clients and internal partners. We combine data science/AI/ML expertise, consultative problem solving, design thinking and a deep understanding of technology to drive value. As a Data Scientist at JPMorganChase within the Global Payments ...

data and AI programmes end to end • Experience leading multi‐disciplinary delivery teams across several workstreams • Experience in environments spanning data platforms, AI/ML deployment, integration, and analytics || | • Strong stakeholder engagement and executive communication skills. • Ability to navigate ambiguity, drive clarity, and make informed decisions quickly. • High emotional intelligence ...

operating in fast-paced, innovation-led environments. Strong stakeholder management and communication skillsCertifications (Desirable)Microsoft Azure AI Engineer AssociateAzure Solutions Architect ExpertRelevant AI/ML or cloud certificationsMindset & Leadership StyleEngineering-first leader: leads through hands-on capability and technical credibility. Outcome-driven: focuses on delivering measurable business value from AI.Pragmatic ...

cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. ...

finance source systems (ERP, EPM, sub‐ledgers, and consolidation tools) into governed, analytics‐ready models. Design the finance data foundations for applied AI/ML: governed retrieval sources for RAG, feature stores, and the architecture that keeps AI systems fed with trustworthy, reconciled finance data. Set patterns for secure, compliant ...

based monetization models, model serving, inference costs, GPU economics, cloud economics, or compute cost optimizationExperience in SaaS economics, cloud cost analysis, or AI/ML-driven productsBackground in subscription analytics, pricing, packaging, or monetization strategyExperience with AI agents and API-driven business models#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things ...

privacy, security, governance and responsible AI.Key Skills & ExperiencePython software engineering experience across applications, integrations, automations or internal tools. Experience building or implementing AI/ML or LLM-enabled solutions in production or near-production settings. Experience working with APIs, SDKs, cloud services and enterprise platforms. Practical understanding of prompt engineering ...

Posted on 26/11/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Role Summary We are seeking an experienced Test Manager with strong General Insurance ...

sizing, performance and cost optimisation, RBAC and access design, object tagging and masking policies, ingestion (Snowpipe, Streams and Tasks), sharing and marketplace, AI and ML capabilities such as Cortex, and transformation and orchestration tooling such as dbt. Strong track record establishing data governance in practice, covering tagging and classification, data ...

Software Engineering team at CoMind spans the full stack of a regulated medical device company from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that ...

join our London team who will help drive the automation agenda, onboard new products onto our platform, drive integration with new innovative AI/ML led autopricers and extend the connectivity with external vendors to increase flow. As a Lead Software Engineer at JPMorganChase within the Equities Derivatives Front Office ...