526 to 550 of 2,065 Machine Learning Jobs in the UK

requirements. Partner closely with Engineering and technology teams to define, develop and deliver AI-enabled product capabilities using technologies including Generative AI, LLMs, Machine Learning and AI agents. Evaluate and prioritize potential AI agent skills and capabilities, building clear hypotheses and recommendations to support product and investment decisions. … development, launch and continuous improvement. Previous exposure to AI-powered products or capabilities is essential, with a good understanding of concepts such as AI, Machine Learning, Generative AI, LLMs and Agentic AI. Candidates do not need to be AI engineers, but should be comfortable working with these technologies ...

using SQL, Python and Snowflake-native technologies Delivering enterprise-scale cloud migration and data modernisation programmes Creating trusted, AI-ready data products for analytics, machine learning and AI use cases Working with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables Driving best practice across data engineering, CI/… data governance, security, lineage and role-based access controls Exposure to CI/CD, DevOps, Infrastructure-as-Code and Terraform Experience enabling analytics, machine learning and AI-driven data solutions Excellent stakeholder management, communication and leadership skills Interested? If you're a Lead Data Engineer, Snowflake Technical Lead ...

Lead the strategy, development and deployment of AI for technology, including platforms, agents, software development and automation; build reusable services for generative AI, agents, machine learning and advanced analytics; convert AI architecture and standards into safe, consumable platform capabilities; partner broadly to accelerate responsible AI adoption; ensure appropriate … service ownership and accountability; ensure platforms are resilient, secure, scalable, supported and cost-effective; define and monitor reliability, experience and operational measures; drive incident learning, problem management and continuous improvement; manage lifecycle decisions including investment, modernisation, consolidation and retirement. Adoption, value and commercial management: Drive measurable enterprise adoption ...

identify trends, patterns and actionable insights. • Producing reports, presentations and visualisations for clients and internal stakeholders. • Applying statistical analysis, predictive analytics and, where appropriate, machine learning techniques to generate meaningful insights. • Managing analytical projects from requirements gathering through to successful delivery. • Translating complex analysis into commercially relevant recommendations. … directly with clients and stakeholders. • A proactive, solutions-focused and intellectually curious approach. We're also interested in candidates who may have experience with: • Machine learning or NLP techniques. • Tableau or Power BI. • AWS and GitHub. • A postgraduate qualification in a quantitative discipline. Why This Role Stands ...

dashboards and MI to support decision-making, and help communicate findings to stakeholders. The role also supports the adoption of advanced analytics, including automation, machine learning and AI, to continuously improve audit effectiveness. All activities are carried out in line with audit methodology, best practice and professional standards. … effectively. Understanding of data governance, data quality, and metadata management practices. Familiarity with ERP systems (Oracle preferred) and enterprise data environments. Knowledge of AI, machine learning, or automation use cases in analytics, audit, or risk contexts. Strong communication skills, with the ability to present data-driven insights ...

prior experience on Oracle applications, with focus on designing and implementing AI solutions based on Oracle. Proven experience delivering data platform, analytics, AI or machine learning projects using Oracle technologies. Strong technical experience across Oracle Cloud Infrastructure (OCI), Oracle Autonomous Database, Oracle Database, Oracle Data Integration, GoldenGate, Oracle … desirable: Oracle Database 23ai (or above)Oracle Autonomous DatabaseOracle Data IntegrationOracle GoldenGateOracle Analytics Cloud (OAC)Oracle Data IntelligenceOCI Data ScienceOCI AI ServicesOCI Generative AIOracle Machine Learning (OML)Oracle Vector SearchOracle ExadataOCI Landing ZoneOracle Integration Cloud ...

company solving one of advertising's hardest problems: making brand advertising actually measurable — and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics … learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impactExperience leading, coaching or managing data scientists, ML engineers or closely related ...

compliance frameworks for deploying AI in clinical operations. #LI-GSK* Skills Artificial Intelligence (AI), Large Language Models (LLMs), Machine Learning (ML), Python (Programming Language), Solution Architecture • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires ...

Knowledge of GxP and compliance frameworks for deploying AI in clinical operations.#LI-GSK*SkillsArtificial Intelligence (AI), Large Language Models (LLMs), Machine Learning (ML), Python (Programming Language), Solution Architecture• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary ...

partners to unlock value for healthcare professionals. Demonstrated dual expertise bridging healthcare and AI, such as transitioning from a clinical practitioner into a technical machine learning role, or vice versa. Strong technical capabilities evaluating machine learning models, and applying Large Language Models to complex health workflows. … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related ...

culture of innovation and creative thinking to build modern robust systems. Effectively meeting the demands of our challenging mandate requires a passion for learning as well as deep understanding and experience across a wide array of technical competencies. Bachelor/master's degree in computer science or a closely … commercial insights and drive system improvements. Familiarity with automated testing, DevOps, and Continuous Deployment practices. Demonstrated interest in using and incorporating AI tooling and machine learning into development workflows. Goldman Sachs Engineering CultureAt Goldman Sachs, our Engineers don't just make things â" we make things possible. Change ...

growth - from credit risk and customer retention to personalised recommendations. You'll become Raylo's technical and strategic leader on: The cutting edge of ML and AI model development, applying the very best of what's possible to Raylo's hardest problems. Collaborating with teams across the business, to identify … DoReporting to the VP of Strategy & Analytics, you'll define and lead Raylo's data science function, deploying cutting edge AI and ML to solve Raylo's hardest problemsYou'll own end-to-end design, build and deployment of production-grade machine learning models - from credit risk ...

growth - from credit risk and customer retention to personalised recommendations. You'll become Raylo's technical and strategic leader on: The cutting edge of ML and AI model development, applying the very best of what's possible to Raylo's hardest problems. Collaborating with teams across the business, to identify … DoReporting to the VP of Strategy & Analytics, you'll define and lead Raylo's data science function, deploying cutting edge AI and ML to solve Raylo's hardest problemsYou'll own end-to-end design, build and deployment of production-grade machine learning models - from credit risk ...

Amazon Web Services Professional Services (ProServe) team is seeking a Senior Delivery Consultant specialising in AI/ML and generative AI to join our Data & AI practice. In this role, you will lead the technical direction and delivery of complex enterprise AI engagements, working across multiple workstreams and helping customers … including the application, data, integration, security, and operational components required to run them reliably.- Select and evaluate appropriate AI approaches, which may include traditional ML, large language models, retrieval, model adaptation (fine tuning, continuous pre-training), tool use, or agentic workflows.- Establish evaluation and responsible AI controls covering solution quality ...

consultancy to find a Data Science Consultant with a strong focus on the Energy & Utilities sectors. In this role, you will apply advanced analytics, machine learning, and mathematical modeling to help major energy providers, utility networks, and public sector organizations drive evidence based decision making. You will work … analytics lifecyclefrom problem formulation and exploratory data analysis to model design, testing, and deployment. Sector-Focused Problem Solving: Apply advanced analytics, OR models, and machine learning to address critical challenges across energy, utilities, and sustainability. Client Translation: Translate complex business requirements into analytical solutions, effectively communicating technical methodologies ...

Risk's approach to leveraging data and AI to accurately identify and mitigate risk at scale. Partner deeply with engineering, data science, and ML leaders to shape architecture, data foundations, models, APIs, and product experiences. Help product teams across Stripe build on Risk's capabilities quickly and effectively, while guiding … audiences, and make complex topics clear. High agency, intellectual honesty, curiosity, and a low-ego, hands-on working style. Preferred qualificationsAn engineering and preferably ML-based technical background. Experience applying AI and machine learning to complex, high-stakes problems at scale. Experience with fraud, credit, payments, financial services ...

more of the following areas: Exploit development. Secure software development. Vulnerability research skills. Machine Learning model development and understanding of the ML eco-system. Familiarity with vulnerability research tools and frameworks. Understanding of operating systems, networks and system architecture. Reverse engineering. Nice to Have Experience researching AI, machine learning or large language model security risks. Experience turning research ideas into working prototypes, tools or customer-facing demonstrations. Ability to explain technical findings to both specialist and non-specialist audiences. Location & Clearance This role will be based from Romsey, with an opportunity to visit our client sites ...

ReqID:FEQ327R501Location: LondonSkills: Data Science, Machine Learning, AI, LLM, GenAIMissionAs a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers … architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will haveArchitecting Workloads: Design ...

testing, documentation, and support processes. Partner with product and business leaders to integrate AI-driven capabilities into Nordson XRT products. Explore opportunities to leverage machine learning, predictive analytics, computer vision, and intelligent automation to improve customer productivity, equipment performance, and operational reliability. Establish governance and best practices … multiple teams. Strong financial, operational, and strategic planning capabilities. Excellent written, verbal, and interpersonal communication skills. Preferred Skills and Qualifications Experience within industrial automation, machine vision, manufacturing technology, inspection systems, scientific instruments, or related technology sectors. Experience leading teams that develop software for hardware-enabled products and complex integrated ...

Python or similar technologies. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer ETL/Data Warehouse Engineer Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

deploying AI applications that solve genuine business problems and deliver measurable value. From LLM-powered applications and RAG solutions to intelligent automation and machine learning systems, you'll be working on projects that are used in production and trusted by end users. You'll join a collaborative team … Engineering and Software Engineering Hands-on experience building RAG solutions Experience taking AI solutions from proof of concept into production environments Experience delivering AI, Machine Learning or Data-driven solutions in commercial environments Knowledge of cloud platforms such as Azure, AWS or GCP A passion for building solutions ...

solutions across the business. Work collaboratively across teams, functions and international offices. Required ExperienceAI Engineering & Solution DeliveryPractical experience building and deploying AI or machine learning solutions into production environments. Experience supporting AI solutions beyond proof-of-concept stage. Experience integrating AI capabilities into business processes and workflows. Experience … FoundryAzure DevOpsSoftware DevelopmentStrong software development capability. Experience developing solutions using Python. Experience with JavaScript or other development languages would be advantageous. Generative AI & Machine LearningSolid understanding of: Large Language Models (LLMs)Natural Language Processing (NLP)Machine Learning fundamentalsPrompt EngineeringExperience designing prompts and grounding strategies. Experience integrating knowledge ...

surface patterns, gaps, anomalies and data-quality issues, and identify opportunities for analysis, modelling or product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification … data assets and useful analytical models in Microsoft Fabric and Databricks. Advanced Python, SQL and PySpark, including experience with data transformation, analysis and common machine-learning libraries. Hands-on experience designing and operating scalable data pipelines, lakehouse data models, Delta and SQL transformations, and data-quality controls ...

part of your day-to-day work. You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI-assisted operations, and responsible AI practices. The Cloud Architect is a subject matter expert in one or more categories that … vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns. Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines. Experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI-assisted cloud operations. Experience with cloud ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: Bachelor's degree in Computer Science, Machine … anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine ...