1,676 to 1,700 of 6,465 Machine Learning Jobs in the UK

cloud-native architecture, security and engineering governance. Experience evaluating and integrating third-party Financial Crime or Risk technology platforms. An understanding of AI/ML and GenAI architecture, particularly within regulated environments. Knowledge of responsible AI principles including explainability, human-in-the-loop controls, model governance and auditability. The ability … particularly relevant: Salesforce Financial Services Cloud | Snowflake | ComplyAdvantage | OCS | SQL | Python | REST APIs | Event-Driven Architecture | Cloud | CI/CD | DevSecOps | AI/ML | GenAI | LLMs | RAG | Data Governance | Data Lineage #J-18808-Ljbffr ...

directly with customers to design, build and ship production systems in regulated industrial environments Leading software development lifecycle activity across infrastructure, backend, data and ML operations, and deployment Translating ambiguous customer requirements into working software under operational constraints Essential Skills and Experience Building & hardening containerised applications within on-premises … being able to ship features + pragmatic problem-solving skills Strong customer facing communication, comfortable explaining technical concepts to non-technical stakeholders Data science, ML and AI experience (and it’s integration into wider applications) Experience working in energy, nuclear, maritime, manufacturing or similar industrial sector 33 days leave (including ...

cloud-native architecture, security and engineering governance. Experience evaluating and integrating third-party Financial Crime or Risk technology platforms. An understanding of AI/ML and GenAI architecture, particularly within regulated environments. Knowledge of responsible AI principles including explainability, human-in-the-loop controls, model governance and auditability. The ability … particularly relevant: Salesforce Financial Services Cloud | Snowflake | ComplyAdvantage | OCS | SQL | Python | REST APIs | Event-Driven Architecture | Cloud | CI/CD | DevSecOps | AI/ML | GenAI | LLMs | RAG | Data Governance | Data Lineage If you have the above experience please apply immediately ... ...

desktop applications, software architecture, and measurement and data-analysis algorithms, leveraging cutting-edge technologies and the latest advancements in software engineering and AI/ML/DL. You will partner closely with hardware, systems, product, and global engineering teams to deliver high-quality products on schedule. Responsibilities: Lead, mentor … globally distributed teams across the US, Europe, and Asia on system integration, software releases, and shared engineering best practicesChampion responsible adoption of AI/ML and AI-assisted development tools under company security policies, remove obstacles, and foster root-cause analysis and continuous improvement in process and product qualityQualifications: Bachelor ...

technology teams to select and shape appropriate technologies for scalable analytics, trading strategy development, tick or time-series data, workflow automation and AI/ML-enabled use cases. Prefer Databricks, Spark and modern lakehouse patterns for scalable analytics where suitable, while recognising transferable experience with Snowflake and other enterprise data … suitable for enterprise use. Analytics, AI and Agentic Strategy Prioritisation Prioritise data access, tooling and platform capabilities required to support advanced analytics, AI/ML, NLP, intelligent automation and agentic strategies for the group. Identify opportunities to deploy production-grade analytics and AI-enabled solutions that improve decision-making, risk ...

Strategic AdvisoryEngage in technical discussions with engineers and architects, translating complex concepts for business stakeholders. Support clients in modernizing technology platforms, adopting AI/ML, and leveraging cloud solutions (AWS, Azure, GCP).Drive strategic initiatives, aligning technology, data, and business needs to optimize delivery and impact. Business Growth & Relationship ManagementDevelop … ability to identify opportunities for account expansion and drive long-term client success. Experience with cloud platforms (AWS, Azure, GCP), data analytics, AI/ML, or digital transformation initiatives. Prior consulting experience or a track record of client-facing leadership. ...

Machine learning and AI are central to how Trainline helps millions of customers make smarter, more sustainable travel choices every day. Our ML models and AI systems power critical parts of the platform - from search and recommendations to pricing intelligence, personalisation, digital marketing, and AI-driven customer support. … ML teams own the full delivery lifecycle, from ideation through to production. We work closely with stakeholders across the business to expand the reach and impact of ML and AI throughout Trainline. The RoleThis is a senior leadership role sitting within one of Trainline's most important product areas: Core ...

support business approvals + security considerations). Be the AI champion/evangelist within the tech team. You will set reference architectures for predictive ML, generative AI, RAG, and agentic systems; choose platforms and patterns teams can reuse; and hold the line on quality, governance, and operational readiness. The role … research Strategic thinking Problem‐solving aptitude GDPR and International Data Regulations Awareness Technical Competence Required experience: Computer Vision Text Analytics Translation Services Python ML/LLMs C# .Net Standard/C# .Net Core/C# .Net #J-18808-Ljbffr ...

Bachelor’s or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field.* Strong hands-on experience building and deploying AI/ML/DL/NLP/LLM systems in production environments.* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI … e.g. EHR platforms such as Epic or Cerner).* Experience building commercial software products in regulated environments.* Publications or research experience in AI/ML/DL/NLP/LLM or biomedical informatics.* Startup or scale-up experience.## Perks and Benefits* Flexible working hours.* Benefits include private medical insurance ...

concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data processing, real-world evidence, and AI/ML for diagnostics and care optimisation Act as a subject matter expert on healthcare data architecture, translating complex regulatory and technical requirements (HIPAA, GDPR, HL7/… Deep understanding of healthcare data use cases including clinical interoperability (HL7/FHIR), claims and payer analytics, population health, realworld evidence, and AI/ML for diagnostics or care optimisation Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade ...

research-based investment process. This is an opportunity to join a highly diverse and growing team passionate about pioneering the application of quantitative research, ML/AI and data science to private markets investing and risk management. The ideal candidate is someone with: Passion for financial markets and investing, quantitative … drive adoption and integration of QIS models with fundamental analysis conducted by deal teams. Seek to apply new models and techniques (AI/ML) to advance the use of quantitative methods in the investment process. Responding to ad-hoc quantitative analysis requests (20%)Supporting client facing teams in conducting ...

Skills and CompetenciesDemonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologiesUnderstanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilitiesMastery of AI tools, in particular … competitive landscape, and go-to-market prioritiesCollaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standardsInteract with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportabilityAbout the TeamYou will join ...

hackajob is partnering directly with Moody's Corporation to hire for this role. Skills and Competencies Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model … market priorities Collaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standards Interact with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportability About the Team You will join ...

multi-cloud environments. Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments. Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks. Continuously improve reliability and scalability … tenant environments. Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments. Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale. PLEASE NOTE: Our policy requires a 90-day waiting period before ...

global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Skills and Competencies Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management … market priorities Collaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standards Interact with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportability About the Team You will join ...

self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform … integration with third party systems and ingestion through APIs) Scope and deliver new data engineering projects in collaboration with business stakeholders Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases Collaborate closely with our dev teams to build seamless integrations between ...

experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative AI and model lifecycle management. Experience with cloud platforms, APIs and enterprise architectures. Microsoft AI experience, ideally Azure AI Foundry and Microsoft ...

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 … part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Shape the reliability of AI/ML & Data Platforms — lead incident response, drive resilience, and set the standards that keep us running. #J-18808-Ljbffr ...

relentlessly deliver incredible value to our customers. 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 ...

experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative AI and model lifecycle management. Experience with cloud platforms, APIs and enterprise architectures. Microsoft AI experience, ideally Azure AI Foundry and Microsoft ...

deep analytics and AI expertise with a passion for shipping AI products in complex, regulated environments. You are equally comfortable whiteboarding transformer architectures with ML engineers, designing multi-turn agentic workflows, and understanding the operational realities of energy customers. Key job responsibilities- Design and deliver generative AI solutions for energy … relationships with senior technical leaders (VP Eng, CTO, Chief AI Officer) at energy customers.- Partner with SAs, Sales, Business Development, and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.- Develop and support an AWS internal community of Data and AI related ...

Experience with LLMs/GenAI and cloud deployment Strong stakeholder management and delivery ownership Consultancy or AI-driven product experience Bonus: RAG, agentic workflows, ML/Data Science, Data Engineering, MLOps, AWS or Databricks certifications, responsible AI and production monitoring. What's on Offer Salary ...

frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems into real production environments, not just notebooks or demos. A solid grasp of the engineering around models: inference, latency and performance, data pipelines, state … secure‐by‐design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open‐source AI/ML projects Why This Role? This is a role for engineers who want to build things that matter and see where they land. You will ...

frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems into real production environments, not just notebooks or demos. A solid grasp of the engineering around models: inference, latency and performance, data pipelines, state … secure‐by‐design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open‐source AI/ML projects Why This Role? This is a role for engineers who want to build things that matter and see where they land. You will ...

frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems into real production environments, not just notebooks or demos. A solid grasp of the engineering around models: inference, latency and performance, data pipelines, state … secure‐by‐design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open‐source AI/ML projects An active SC or DV clearance is a strong advantage for this role. Why This Role? This is a role for engineers who want ...