126 to 150 of 309 Machine Learning Jobs in Central London

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience ABOUT US Our client ...

digital products for architecture, design, and the unbuilt environment. We are pioneering the future of real-time 3D experiences by fusing cutting-edge generative Machine Learning with immersive rendering technologies. Our projects span architectural visualization, software, interactive simulations, and creative media. We have studios in New York, London ...

fingerprinting, device intelligence, public key infrastructure (PKI), computer networking, and device authentication. Experience with ThreatMetrix® solutions or similar fraud and identity platforms. Familiarity with machine learning, predictive analytics, statistical modeling, scorecard development, or graph analytics. Experience developing fraud detection strategies and risk-based decisioning frameworks. Knowledge ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting role, you will be expected ...

software architecture, technology stacks, cloud and mobile computing, technical debt, functional and non-functional roadmaps, hosting, cybersecurity, databases, data and analytics, and AI/ML technologies. Experience assessing R&D organizations and software development practices, including testing, quality assurance and continuous integration/continuous delivery processes. A solid understanding ...

data modelling, data lakes, lakehouses, data warehouses and data integration. Experience with data governance, security, privacy and Microsoft Purview. Understanding of AI/ML and Generative AI data architectures. Proven experience leading technical teams and large-scale transformation programmes. Strong client-facing, communication and stakeholder-management skills. Experience in consulting ...

decisions, and deliverables with strategic objectives and business outcomes. Areas of Specialization Identity Security: Identity and access architecture across workforce, privileged, service, application and machine identities; identity governance, modern authentication, access lifecycle management, conditional access, PAM/PIM, federation, SSO, MFA, identity threat detection, and zero trust identity control … design. AI & Blockchain Architecture: Secure architecture and governance for AI, machine learning, generative AI, agentic solutions, distributed ledger technologies and blockchain-enabled platforms; including model and data protection, AI risk controls, prompt and output security, smart contract assurance, tokenization, wallet/key management, privacy, auditability, regulatory alignment ...

Understanding of data architecture concepts, including data warehousing and data lakes. Exposure to cloud computing environments such as Microsoft Azure. Exposure to predictive analytics, machine learning, AI-enabled analytics or advanced statistical methods. Experience working with customer, commercial, subscription, product usage or behavioural datasets. Behaviors and Mindset: Demonstrates … reliable. Works collaboratively across Customer Insights, Product, Commercial, Technology and Data teams to build a more joined-up view of the customer. Shares learning openly, seeks input from others and helps translate business questions into clear analytical approaches. Acts with agility by adapting to changing priorities, working through ambiguity ...

have the opportunity to work across areas including: Solution and Enterprise Architecture Application and Integration Architecture Data Architecture and Engineering Cloud and Infrastructure AI, Machine Learning and GenAI Cyber Security Digital and technology transformation You'll help define current-state and target-state architectures, technology roadmaps, integration patterns … governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients and senior stakeholders Experience with industry platforms such ...

projects for clients, powered by the latest Google technologies like Gemini, Vertex AI, and BigQuery Grow Your Career: Accenture will continually invest in your learning and growth, supporting you in expanding your tech stack and earning certifications. Be Part of a Vibrant Community: Join a diverse, global Accenture/… other contact center technologies (e.g., Genesys, NICE, Amazon Connect). Multiple Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer). About Google Edge Google Edge is a specialized Accenture team delivering tailored Google Cloud solutions for high-growth mid-market organizations. ...

NoSQL). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience using Machine Learning and building solutions. Experience working with systems (e.g., Linux, Unix, Windows). About the job gTech’s Professional Services team takes a creative ...

senior and lead analysts by building pipelines, preparing reports, and visualisations Partner with data scientists and engineers to create new features for FinCrime prevention Machine Learning models and integrate with external vendors, and make our risk assessment models faster. Building the framework for managing risk and customer experience ...

proprietary content, massive datasets, domain expertise, and advanced technology creates a unique environment for Data Scientists to work on problems where AI and machine learning can have a tangible impact on science, healthcare, and patient outcomes. U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials ...

Technology develops a diverse range of software and platforms to support CIBC's trading activities, including systems for managing derivatives risk, data science and machine learning, and front-end systems used by the business. We have made a substantial investment in building an agentic AI platform ...

redesign methodologies is valuable. Decision Intelligence capability: Ability to translate supply-chain problems into practical AI-enabled decisions and workflows with understanding of AI, machine learning, optimisation, GenAI, RAG and AI agents and experience in Decision Intelligence platforms such Aera Technology, Palantir etc. Agentic and AI capability: Practical ...

understanding of LLMs, RAG, embeddings, vector databases and orchestration Experience taking AI solutions from concept through to production Strong Python and modern AI/ML engineering knowledge Experience with major cloud platforms such as AWS, Azure or GCP Strong architecture and system-design capability Experience communicating complex technical concepts ...

system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical and business stakeholders Ability to translate complex technical concepts ...

experience designing and executing performance tests for APIs and GUIs to identify bottlenecks and ensure optimal response times Understands and evaluates AI/ML-based testing tools and frameworks, integrating them into CI/CD pipelines to optimise test automation and defect detection. #J-18808-Ljbffr ...

development and building work; applies approved automation to streamline repeatable tasks 3–5 years of software development experience, including experience with AI/ML tools, APIs, or agent frameworks Proficiency in at least one modern programming language (e.g., Python, Node), including solid understanding of core data structures Experience integrating APIs ...

world. Responsibilities Develop intuitive, high-performance user experiences on a 1P app using Kotlin/Java and modern Android UI frameworks. Integrate on-device ML and generative AI solutions to deliver proactive and delight user experiences. Translate complex behavioral, psychological, and human challenges into intuitive, highly robust, and privacy-preserving ...

Machine Learning to lead a small Data Science team and shape AI adoption across the company’s SaaS products. You will drive ML/AI initiatives from development through to production, collaborating with clients and internal teams to deploy impactful AI capabilities. The role offers hybrid working with ...

Kingfisher is seeking a Lead Machine Learning Engineer to spearhead the research and development of ML/AI services within the Group Data Science team. You will trailblaze the development of data science algorithms while building, leading, nurturing and retaining a high-performing data science team across banner ...

Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting‐edge technologies like AI, Machine Learning, Generative AI, and Large Language Models ...

part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You’ll need all of these. Experience of building a data warehouse using … Proven Experience of Oracle ODI/OAS, Power BI, dbt or Snowflake. Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. About The Company Motability Operations is a unique organisation, virtually ...

Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline. Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting. Hands-on experience with modern AI technologies including LLMs … Proficiency in Chinese Mandarin is required to collaborate with China headquarters on product discussions, technical design, and cross-functional initiatives. Self-driven with strong learning agility, curiosity for emerging AI technologies, and the ability to thrive in a fast-paced customer-facing environment. Equal Employment Opportunity at Tencent ...