251 to 275 of 309 Machine Learning Jobs in Central London

with Challenger or Triangle sales methodology Experience selling to a technical audience in a similar space Experience selling developer tools, infrastructure, or AI/ML technologies. Fluency in German, French, Dutch, or other major regional languages. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA ...

reports (Power BI, Tableau) that provide actionable insights to operations and leadership. Collaborate with data engineering teams to define data requirements for AI/ML model development. Champion a data-driven culture across the 3PL business. AI & Digital Acceleration Identify, evaluate, and champion AI/ML and automation opportunities across ...

ECM Selection in London seeks a full-time RF/AI research specialist to drive development of algorithms for RF signals, AI-enabled problem solving, and concept validation. The role emphasizes rigorous research and collaboration ...

tech companywants to hear from you. Our clients mission is to help subscription businesses drive customer growth and predict revenue more accurately using machine learning and AI. Their platform empowers businesses to improve customer loyalty and unlock greater revenue from existing customers. Recently listed in Sifteds … health insurance quality care when you need it most Monthly wellness allowance use it on gym memberships, yoga, mental health, healthy food & more Annual learning & development budget invest in your growth Hybrid working 3 days in the office, 2 days where it suits you Top-tier equipment everything ...

globally renowned client for an AI specialist who can offer expertise implementing enterprise governance processes and operating models, alongside expertise in AI/ML platforms, MLOps, DevSecOps, or data platforms click apply for full job details ...

Principle HR is seeking a Technical Project Manager in London to join a leading AI research environment. You will coordinate multiple AI/ML research workstreams, identify blockers, and ensure researchers have the resources to progress. The role emphasizes cross-functional collaboration with researchers, engineers, and policy stakeholders ...

validate solution feasibility Develop technical proposals, RFP responses, statements of work and Bills of Materials Build and maintain reference architectures covering AI/ML, HPC and rendering workloads Required Experience: Strong background in HPC/AI software stack design and delivery Experience across GPU computing, workload optimisation and distributed ...

regulated or complex enterprise environments preferred. Responsible AI and AI ethics Fairness, explainability, transparency, and AI safety AI risk management and governance AI/ML lifecycle and model development practices Regulatory frameworks (EU AI Act, NIST AI RMF, ISO 42001) #J-18808-Ljbffr ...

production-grade agentic commerce systems for global enterprise clients. You are responsible for defining the overall system architecture, selecting and governing AI/ML and platform technologies, and ensuring solutions are scalable, secure, and embedded into live enterprise commerce environments. You will partner closely with development, DevOps, data engineering … commerce pursuits Engage C-suite stakeholders and grow engineering talent within the practice What You Need Must Have 8+ years in AI/ML systems, with demonstrable experience designing and delivering Generative AI and agentic AI systems in production 4+ years enterprise commerce delivery on one or more of: Salesforce ...

protocols (OAuth2, OpenID Connect, TLS, etc.). Experience integrating legacy banking systems with modern digital platforms. Experience integrating data platforms used for analytics or machine learning. Familiarity with real-time vs batch data patterns and their impact on analytical and AI use cases. Awareness of AI model lifecycle considerations … insurance Various policies to support your mental wellbeing, including a robust behavioural health network with counselling and coaching services Access a wide range of learning and development opportunities and career progression opportunities Ambitious remuneration package We recognise our role as a bank to support social change and welcome ...

Parametric Test for Conditional Independence. This is at the core of modern causal discovery, itself of paramount importance throughout the sciences and in Machine Learning. In particular, the discovery of causal relationships is fundamental in public health and epidemiology, in life and earth sciences, in sociological studies ...

Experience working with modern Microsoft Fabric and Azure technologies, such as Synapse, Data Factory, Azure Data Lake Storage (Gen2), Purview, Cosmos DB, OpenAI, Azure ML, and AI Foundry Solid understanding of software engineering concepts, with hands‐on experience using Python, Scala or PySpark, data modelling techniques, database technologies … Some of the best things about working at Avanade Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times) Exceptional learning and development, including a minimum of 80 hours per year for training and paid certifications Real‐time access to global technical expertise and specialist ...

forward-deployed senior engineer who unlocks AI-driven solutions to business problems: an expert in deploying AI and using it safely, not an ML modeller. The work is mainly Python across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing … engagement and transforming working patterns into load-bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built by our ML and Decisioning teams into production: the engineering implementation layer between a working model and a live customer feature. AI platform capabilities. Work with ...

related discipline — or equivalent professional experience Preferred Skills and Experience Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus) Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face/open‐source AI ecosystem Experience with image understanding and OCR Working knowledge of policy‐as‐code (OPA/… need to thrive and evolve. You’ll develop in‐demand skills to grow your career and achieve your ambitions with access to cutting‐edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands‐on experiences. And through it all, you’ll be part ...

scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations …/data outputs Awareness of responsible AI principles (bias, privacy, explainability, human oversight) Salesforce certifications (e.g., AI Associate, Agentforce Specialist) or equivalent demonstrated learning Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect ...

efficiency and effectiveness Champion agile delivery practices and continuous improvement, establishing effective governance routines (RAID, integrated plans, executive updates) and fostering a culture of learning and innovation within the team Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards. …/CD practices for data/platform delivery (policy-as-code, automated testing, vulnerability scanning, artifact management, environment promotion). Experience enabling analytics/ML ecosystems (e.g., curated datasets, feature pipelines) and partnering with data science/analytics teams. Relevant certifications (PMP, SAFe, Scrum, AWS/Azure) or experience with ...

technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Experience with … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About our client Our client is a leading global professional services company that helps the world's leading businesses, governments ...

implementing complex analytical logic that translate nuanced geopolitical and financial risk into structured, interpretable outputs Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis Partnering closely with Research, Product, and Engineering teams to understand evolving risk frameworks and translate them into … methods to complex, real-world problems Proficiency in Python, SQL, and working with graph databases or knowledge graph structures Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator Comfort working across research and data engineering contexts — this role spans all three Experience with Docker ...

SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience in end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration Extensive … have external client-facing consulting experience Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. Broad experience in diverse ML techniques and agentic systems. #LI-MP About our client Our client is a leading global professional services company that helps the world's leading businesses, governments ...

data architecture, engineering strategy and data platform, ensuring it provides a trusted, scalable foundation for customer-facing products, analytics, forecasting and emerging AI/ML capabilities. Key responsibilities Define and own the enterprise data architecture and technical roadmap Lead the development of a scalable modern cloud data platform Own data … modelling, architecture, governance, quality and operational resilience Build data foundations capable of supporting AI, ML, vector search and advanced analytics Establish strong DataOps, CI/CD, observability and data quality practices Lead and develop a high-performing data engineering function Partner with Product, Engineering, Data Science and senior leadership ...

Software Engineer Location: London, E14 5RE/Canary Wharf – Hybrid Job Type: Full-Time Skills: Lead Software Engineer, Laravel, React, Python, AWS, AI/ML, n8n, Claude Code, Cursor, Docker, Startups, DevOps We’re looking for a Lead Software Engineer with a path to CTO to join our founding team … automation to push the boundaries of how AI can be applied to connectivity challenges. Our stack Backend: PHP (Laravel), Python (for AI/ML workflows) Frontend: React, Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub ...

enterprise architecture, technical consulting, or technical pre-sales in Data and AI domains.Deep, hands-on technical expertise across enterprise data platforms, AI/ML, Generative AI, and agentic architectures — including Salesforce Agentforce, Data360, and the Salesforce platform.Demonstrated experience engaging C-level executives (CDO, CTO, CIO, CDAO) as a trusted technical … with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands-on familiarity with platforms like ...

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 ...

SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About our client Our client is a leading global professional services company that helps the world's leading businesses, governments ...

Expedia Group is seeking a senior ML engineer to develop and deploy production ML solutions that power content understanding, recommendations, and personalization across our travel platform. You'll work with data scientists, engineers, product managers, and designers to translate business needs into robust AI systems. You will design … pipelines, experiment with models, ensure performance and reliability, and contribute to architectural decisions across multi-service ML environments #J-18808-Ljbffr ...