151 to 175 of 309 Machine Learning Jobs in Central London

Provide technical leadership, architecture governance and design documentation across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality. Translate complex technical concepts and data insights into clear recommendations … understanding of data modelling, data warehousing, Lakehouse and modern data architecture. Experience with data governance, data quality and metadata management. Exposure to AI/ML integration within data solutions and an understanding of AI governance. Experience with visualisation platforms such as Power BI, Tableau or Looker . Strong ...

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 ...

modelling techniques including dimensional, relational or Data Vault modelling. Knowledge of data governance, metadata management and data quality frameworks. Experience working with AI and machine learning within data platforms, alongside an understanding of AI governance. Familiarity with platforms such as Snowflake or Microsoft Fabric. Experience delivering analytics ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry, IT systems, and practical cloud-native experience Preferred Qualifications, Capabilities, and Skills: Hands ...

decision augmentation (e.g., insight). Position AI Agents within the context of the industry, and explain how data proximity, governance, and operational coherence (e.g., Machine Learning Operations [MLOps]) on Vertex AI create an engaged advantage. Leverage a team of Field Sales Representatives and Customer Engineers, and activate Partners ...

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 ...

shift. As a Workday Finance Delivery Lead you will have the opportunity to: Shape solutions that make use of Workday's native AI and machine-learning capabilities to drive smarter finance processes Apply Accenture's GenAI-enabled accelerators to speed up design, testing and documentation Help clients identify ...

shift. As a Financials Solution Architect you will have the opportunity to: Shape solution architectures that make use of Workday's native AI and machine-learning capabilities to drive smarter finance processes Apply Accenture's GenAI-enabled accelerators to speed up design, testing and documentation Help clients identify ...

year-long rotations, with hybrid office/home working, you’ll learn from a dedicated mentor while using Python, SQL, cloud tools and modern ML libraries to turn data into impact. #J-18808-Ljbffr ...

focuses on bridging AI experimentation and business adoption, delivering enterprise-grade AI solutions for major clients. You will design, build and scale AI/ML systems, leverage LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling, and work with Azure/AWS/GCP. #J-18808-Ljbffr ...

Python, Go, Node.js) Experience with observability tools (e.g. OpenTelemetry, Datadog) Understanding of security, performance optimisation, and scalability Desirable Skills Experience working on AI/ML platforms or deployments Exposure to large-scale distributed systems AWS certifications #J-18808-Ljbffr ...

Python, Go, Node.js) - Experience with observability tools (e.g. OpenTelemetry, Datadog) - Understanding of security, performance optimisation, and scalability Desirable Skills - Experience working on AI/ML platforms or deployments - Exposure to large-scale distributed systems - AWS certifications In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position ...

data pipelines • Conceptual, logical and physical data modelling • Cloud data architecture and integration with legacy platforms • Data governance, quality, security and compliance • AI/ML integration, intelligent automation and predictive data solutions • Data visualisation and translating complex insights into business outcomes • Architecture governance and technical leadership They're looking ...

Professional or Associate certification • Strong knowledge of cloud security, IAM, encryption and compliance • Experience across application, data and integration architecture • Understanding of AI/ML and modern data platforms • Experience with serverless, containers, microservices and CI/CD • Strong knowledge of resilience, disaster recovery and non-functional requirements • Confident engaging ...

performance, scalability, and cost-efficiency Maintain thought leadership by tracking advancements in AI architectures Qualifications 7+ years in enterprise architecture or AI/ML engineering Experience with cloud environments (AWS, Azure, GCP) Knowledge of AI governance and MLOps tools Work Environment A truly hybrid and flexible working environment, with ...

spend time onsite internationally. Experience with cloud‐native architectures (e.g., AWS, Azure), Kubernetes, microservices, and DevSecOps practices. Familiarity with data architecture, AI/ML applications in telecom, and enterprise security models. Certification in TOGAF, TM Forum, or related architecture frameworks. Why Join Us? Join a high‐impact programme ...

automate repetitive QA tasks — test data generation, log triage, defect classification, self-healing locators, and result summarization. Collaborate with tooling and AI/ML engineering teams to embed AI agents into the QA pipeline, enabling autonomous or semi-autonomous test execution and reporting. Continuously refine agent prompts and workflows based ...

experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level. Experience delivering ...

with the ability to work across technical and business stakeholders and influence without authority. Preferred Qualifications Experience with cloud computing, infrastructure, and AI/ML products or platforms (e.g., AWS, Azure, model gateways, agent frameworks). Technical background or a history of working closely with platform and infrastructure engineering teams. ...

within UK regulatory, data protection, sovereignty and responsible AI expectations, in collaboration with the Security business unit, Legal and Compliance To create and evolve learning and development programmes (in collaboration with other business units) ensuring co-workers are continuing to develop individually and in line with business objectives, including … motivated, quality-minded, and commercially focused. Assist in the development of training and certification plans for the Integrated Technology business in collaboration with the Learning & Development department aligned with business growth plans, ensuring the team maintains currency across rapidly evolving data and AI technologies Contribute to the ongoing development ...

Proximie Limited is hiring a machine learning engineer to own the training and deployment infrastructure for our production ML models. You will manage the training and inference workloads on AWS SageMaker, build reproducible training runs, and monitor model performance in live hospital environments. The role emphasizes production readiness … scalable systems, and collaboration with ML scientists to push models into real-world healthcare settings. #J-18808-Ljbffr ...

Zohorecruit in the United Kingdom is seeking a Machine Learning Researcher to advance voice, speech and noise cancellation technologies. Join the audio technology research team to push the frontiers of deep learning for audio and real-time processing. In this hybrid role, you will conduct deep learning ...

Accenture is seeking an AI Engineer in London to design, build and deploy machine learning solutions for enterprise clients, spanning model selection, data pipelines, DevOps/MLOps and production-grade AI services. You will work with Python, C++, and frameworks like TensorFlow and PyTorch, on cloud platforms ...

years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding ...