1,726 to 1,750 of 6,463 Machine Learning Jobs in the UK

operate within our risk appetite. You will collaborate with stakeholders to develop and implement solutions that support our commercial goals, harnessing artificial intelligence and machine learning. Your work will contribute to a culture of integrity, innovation, and excellence. Job Responsibilities: Support and drive adherence to data risk management standards ...

offices across six continents and London as our HQ, we're shaping the future of fintech – and we're just getting started. As an ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand-new, ML-driven dispute … growing team in an expanding area within the company and we're looking for individuals who have strong ownership, are passionate about productionising ML and have a pragmatic approach to converting big problems into smaller iterations to constantly deliver value. How you'll make an impactBuild systems for training, deploying ...

production. Experience operating in fast-paced, innovation-led environments. Strong stakeholder management and communication skills Certifications (Desirable) Azure Solutions Architect Expert Relevant AI/ML or cloud certifications Engineering-first leader: leads through hands-on capability and technical credibility. Outcome-driven: focuses on delivering measurable business value from AI. Pragmatic ...

with Microsoft Purview, Entra ID, DLP, or Insider Risk toolsUnderstanding of ISO 27001, Agile ways of workingKnowledge of statistics, data science, or AI/ML applied to cybersecurityRelevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK)Perks & BenefitsHybrid/remote working optionsFlexible benefits packageOpportunity to innovate and make ...

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 ...

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 ...

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 ...

strong business acumen with MBA a plus. 5+ years of B2B sales experience and 3 years in cloud computing, video cloud or AI/ML, experience as a consultative sales or solution sales a plus. Intensive vertical industry experiences (such as Digital Media, Adtech, eCom, Entertainment, Content vertical experiences ...

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 ...

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 ...

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 ...

ready visualizations and narratives Ability to connect insights to business outcomes and influence strategy Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling Passion for fostering inclusive team environments and valuing diverse perspectives Clear communicator who can translate complex technical concepts into actionable business language ...

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 ...

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 ...

future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design … functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models ...

business intelligence, dataengineering, data science, or automation. Experience across two or more relevant domains such asanalytics, ETL/ELT, cloud data platforms, AI/ML workflows,automation, or enterprise data architecture. Knowledge of public cloud platforms such as AWS, Azure,or GCP, and exposure to cloud data platforms such asSnowflake ...

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 ...

approach to solving customer problems. Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time. Exposure to domains such as CDP/Martech, customer data architectures ...

modern AI native/cloud native stacks. Deep experience architecting, applying and deploying LLM-based systems, generative models, agent frameworks, and scalable AI/ML platforms. Mastery of enterprise cloud stacks (AWS/GCP/Azure), vector DBs, Knowledge Graphs, contextual memory, distributed systems, MLOps/LLMOps, and infrastructure automation. ...

that ingests, stores, and surfaces telemetry from space and ground assetsBuild analytics and visualization tools that surface operational insight and not just raw dataApply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performanceWork directly with data at every layer from pipeline design to queryReliability Engineering: Define ...