101 to 125 of 219 Machine Learning Jobs in the City of London

revolutionary idea. Rather than move the data from the source, move the algorithms to the data to learn at the data source. This learning can be achieved with the intelligence of many devices through novel federated AI technology. OctaiPipe is developing the AI for Cooling Efficiency (ACE) application … Technical Sales. Experience selling software or technology into data centres, particularly DCIM, BMS, power monitoring, cooling optimisation or adjacent infrastructure technologies. Knowledge of AI, machine learning, edge AI or reinforcement learning solutions. Experience working with channel or technology partners to develop and progress joint opportunities. Why JoinOctaiPipe ...

model reuse, version control, and deployment efficiency. Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases. Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute … Physicalised data models and data products build Contribute to client proposals, RFP responses, and thought leadership related to enterprise data modelling and AI/ML readiness. Skills and attributes for success We’re looking for people with a passion for the delivery of data technology solutions that deliver positive outcomes ...

publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness … Requirements A data science background with hands-on experience building, training, validating, or deploying machine learning models, gained as a data scientist, ML engineer, or in a closely related technical role. Experience with, or strong interest in, AI/model governance, model risk management, or a related risk ...

clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi … time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business At our Intellectual Property (our client), we believe that ...

deliver compelling commercial proposals aligned with client needs. Solution Design: Contribute to solution design from both a technological perspective and an algorithmic/machine learning perspective , ensuring feasibility and innovation. AI Value Proposition: Play a key role not only in communicating SDG’s AI value proposition but also … similar technical field. Professional Experience: Minimum 5 years of experience in AI, Data, or related fields. Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge ...

Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python … data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged #J-18808-Ljbffr ...

machine learning concepts. Proficient in programming languages such as Python, Java, or C++ for test automation and scripting. Experience with AI/ML frameworks like TensorFlow, PyTorch, or Keras. Strong analytical skills and the ability to troubleshoot complex technical issues effectively. Familiarity with continuous integration/continuous deployment ...

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 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 ...

Responsibilities of the AI Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent-based frameworks. Evaluate AI technologies and select appropriate … architecture blueprints, technical standards, reference architectures and design documentation. Design secure multi-cloud integration patterns covering data, models and services. Provide technical direction to ML engineers, platform engineers and wider delivery teams. Embed security, responsible AI, governance and regulatory requirements into the platform. Optimise AI infrastructure for scalability, performance, resilience ...

Engineer in a hybrid role based in Bristol/London. You will join a cross-functional team to grow product algorithmic recommendations, evolving ML capabilities across the platform and taking ownership from discovery to production. You will mentor engineers and drive scalable, secure ML systems used by millions … customers daily. You will collaborate with Data Scientists, Product Managers and Backend Engineers, lead end-to-end ML system #J-18808-Ljbffr ...

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. ...

natural-language video search, real-time detection and agentic workflows using multimodal large language models and computer vision Design and build scalable APIs connecting machine learning pipelines with edge device fleets Develop user-facing applications using TypeScript and React, including modern tools such as React Query and Tailwind ...

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 ...

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 ...

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 ...

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 ...

Operating Model design, IT/Digital transformation, Enterprise Architecture, and strategic cost reduction. Understanding of digital technologies, including Big Data and predictive analytics, RPA, Machine Learning and AI, and Customer Experience/Omni-channel. Experience working pre- and post-deal with Private Equity firms and/or blue … prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance ...

Banbury to establish and scale our Data Science capability. You will build predictive models and analytics solutions, setting standards and best practices for ML across the organisation within the Azure Databricks Lakehouse environment. You will lead the application of machine learning and statistical modelling to drive strategic decisions ...

implement their requirements Interfacing with and testing autonomous and robotic systems in the field Collaborating with engineers with diverse skill sets, including AI/ML, networking, and robotics Driving a culture of excellence within the engineering team and the wider company Experience Required: We are open to candidates … bonus Understanding of working on embedded/resource constrained devices Experience with Docker and Kubernetes Experience with SQL databases such as PostgreSQL Experience of machine learning applications Experience with frontend mapping frameworks (e.g., Cesium, Mapbox, Leaflet) Knowledge of application security best practices and secure coding principles (e.g., OWASP ...

techniques from physics, electronics, statistics, numerical methods or software engineering. British nationality and eligibility for UK security clearance. Either practical experience applying machine learning to real-world problems, or experience developing relevant algorithms in RF signals - or a combination. If you do not have RF signals experience, your ...

work effectively within a team. A proactive and inquisitive approach to solving complex problems. Desirable Experience developing predictive or statistical models. Knowledge of machine learning or advanced statistical techniques. Experience with time-series analysis, regression or optimisation. Experience working with real-time or high-volume datasets. A genuine ...

ships and planes, transforming connectivity and digital experiences even in the most remote and hard-to-reach places. The Quvia platform uses AI and machine learning to seamlessly blend any combination of connectivity, regardless of provider, orbit or network, into one, vendor-neutral environment. It then delivers comprehensive ...