226 to 250 of 6,120 Machine Learning Jobs in the UK

applications, including novel approaches to reasoning, summarisation, and interactivity.Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies.Implement cutting edge ML/AI research in the context of cybersecurity.Build production ready AI systems that operate at CrowdStrike’s massive scale.Mentor and guide scientists while fostering a culture … journals and conferences.Experience with cybersecurity applications of machine learning.Track record of successful research-to-production implementations at scale.History of contributions to open-source ML projects.#LI-AV1#LI-RemoteBenefits of Working at CrowdStrike:Market leader in compensation and equity awardsComprehensive physical and mental wellness programsCompetitive vacation and holidays for rechargePaid parental ...

business teams, and product partners (e.g. across Investment, Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunitiesRapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate … solutioning and deliveryChampions the firm's culture of diversity, Opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on AI/ML engineering concepts and applied experienceAdvanced Python and full-stack/generalist engineering ability - backend, data, and lightweight front-end - to ship a working ...

Role AI Evangelist (Senior Technology Architect) Technology, Location & Compensation AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP London, UK Competitive (including bonus) Job Summary We seek a highly skilled senior architect/consultant to lead the Generative AI Technologies team. The candidate must possess deep … accuracy, cost and latency. Understanding of AI governance, security, privacy, bias/fairness and emerging regulations. Machine Learning Mastery – profound understanding of ML principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock ...

capabilities or "engines" that integrate directly into Anaplan Applications to solve complex enterprise business problems. In this role, you will develop best-in-class ML models and pipelines to drive automated, actionable insights at scale. Beyond core development, you will act as a key technical partner for our customers. … will play a highly visible role in driving customer onboardings, getting hands-on with client data to customize and fine-tune our ML engines so they seamlessly adapt to complex business realities and specific customer needs. Your Impact Customer Onboarding & Engine Customization: Lead the technical deployment of our engines ...

forefront of AI innovation,trusted by Microsoft,AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understandingand developingof AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such asprompt engineering, retrieval-augmented generation ...

been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester … disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high‐velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi‐agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable … Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high-performance analytical environments. Contribute to DevSecOps and cloud ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

Contribute to the full model lifecycle , from initial discovery and feature engineering through to production, experimentation, and continuous monitoring. Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers. Foster a responsive feedback loop , adapting models as patterns evolve … ensure our defences remain robust and effective. Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally. Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code. What excites you Solving complex, dynamic problems: Developing ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

that power business insights, critical business capabilities, and AI-enabled decision‐making. You will work across data engineering, analytics enablement, visualization, and AI/ML engineering, contributing to reliable data pipelines, governed datasets, orchestration frameworks, and data products that enable self‐service analytics and intelligent automation across the enterprise. … reusable, and performant data products SQL, Data Modelling & Analytics Enablement Create well-modelled, trusted datasets that support reporting, visualization, advanced analytics, and AI/ML use cases Enable self‐service data access and governed consumption by building clear data contracts, documentation, and quality controls Contribute to integrated data foundations that ...

designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS). AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into enterprise applications. Enterprise Governance & Security: Deep understanding of security architecture, secure SDLC … landscape, notably encompassing: Compute & Services: Java, .NET, Python, Cloud-native microservices Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka) AI & ML: Azure OpenAI, LLM Integration patterns, Vector Databases Integration & Storage: Azure Data Factory (ADF), SQL Server, Enterprise relational platforms Infrastructure: Azure, AWS, and Hybrid Cloud networks ...

managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ML model deployment and DevOps collaboration Desirable: Degree in STEM, Data, AI, or Programming-related field Awareness of data security best practices Experience with designing data … architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill ...

advisor to CxOs.You will work closely with client technology leadership, business stakeholders, delivery teams, and partners to drive transformation across data platforms, advanced analytics, machine learning, and AI‐enabled services.Your responsibilities: Define and own enterprise AI Data architecture vision and roadmap, aligned to business strategy and regulatory obligations. … banking or financial services. Strong understanding of data architecture (data lakes, lakehouse, data warehouses, streaming, metadata, governance). Hands‐on experience with AI/ML/GenAI architectures, including model lifecycle management and MLOps. Experience designing solutions on cloud platforms (AWS, Azure, GCP), including native data and AI services. Solid ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work. … insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. #J-18808-Ljbffr ...

with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics teams and Risk ManagersAssess feasibility, risks, and data readiness for AI/ML/GenAI opportunitiesWork with data owners, stewards and architects to identify required data sources, understand data lineage and constraintsEnsure requirements include data quality, metadata … have” skills:BA/SCRUM/PM qualificationsMaster Data Management, data governance, data modelling exposureTools: JIRA, Confluence, etc.Experience working on projects that use AI, ML or advanced analytics – ideally from discovery through to adoption.Experience collaborating around BI/analytics tools (Power BI, Tableau, etc.)Exposure to AI platforms (e.g. Azure ...

different levels of the hierarchy, especially with Development Leads, Quantitative Analytics teams and Risk Managers* Assess feasibility, risks, and data readiness for AI/ML/GenAI opportunities* Work with data owners, stewards and architects to identify required **data sources**, understand **data lineage** and constraints* Ensure requirements include **data quality …/SCRUM/PM qualifications* Master Data Management, data governance, data modelling exposure* Tools: JIRA, Confluence, etc.* Experience working on projects that use AI, ML or advanced analytics – ideally from discovery through to adoption.* Experience collaborating around BI/analytics tools (Power BI, Tableau, etc.)* Exposure to AI platforms (e.g. ...

integration testing, and producing high-quality analytical code that is traceable and repeatable Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML, and LLMs Experience with deployment tools and processes, such as Azure Data Factory (ADF), Azure ML and batch processing Experience using DevOps ...

Syrup platform and the family of forecasting and predictive services that power Anaplan’s verticalized solutions. The team builds and operates the ML platform, forecasting engines, and data processing services that deliver demand forecasting, inventory recommendations, and predictive insights to enterprise customers in retail, supply chain, and beyond. This role … within Software Engineering, Principal or Architect‐level role owning systems at scale. Deep expertise in Python and in designing and operating high‐availability, production ML services. Hands‐on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with ...

development of our platform, shaping its capabilities and providing impactful solutions.Join our dynamic team and be part of a collaborative environment that fosters continuous learning and creativity. If you are passionate about machine learning, AI, and want to contribute to the platform capability development for our whole … methodologies and working in Scrum/SAFE practices* Familiarity with front-end technologies (HTML, CSS, JavaScript) is a plus.* Exposure to the AI/ML techniques & methodologies is a plus.* Knowledge of software development best practices, including version control (Git) and continuous integration (CI/CD) processes.* Strong problem-solving ...