801 to 825 of 2,708 Machine Learning Jobs in London

diffusion, flow matching, transformers, and GANs.4+ years of experience in machine learning frameworks (TensorFlow/PyTorch) with a proven history of building ML pipelines in the audio domain. Proficiency in Python, including package development and collaborative coding practices (e.g., open-source contributions).Expertise in performance analysis and optimization … ML systems. Hands-on deployment experience with systems like TensorFlow Lite, ONNX, TVM, and Glow. Strong familiarity with cloud compute environments, ideally AWS, and data ingestion (e.g., TF Data pipelines).Knowledge of source control and project tracking systems (e.g., GitHub, Jira). Preferred ExperienceTrack record of research publications in conferences ...

privacy, and information security Desirable: Financial services experience Awareness of data models in a Medalion ArchitectureExperience building Semantic, Metric or Analytic modelsExperience of building Machine Learning models Any experience in MLOps or operationalising Machine LearningKnowledge of Data Quality Frameworks in PythonQualifications: Industry focused degree or equivalent working ...

models in production with efficient use of compute. Develop and maintain cloud‐native architectures that enable reliable deployment and scaling of AI/ML workloads. Deliver robust, tested and high‐performance code in an agile environment, and work closely with ML engineers and domain experts to make the infrastructure … Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command‐line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration ...

business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at the link below, the role: Build and deploy ML‐powered services, tools, and full‐stack applications supporting fraud and identity analytics. Work across backend services, model‐serving pipelines, and user interfaces. Key ResponsibilitiesDevelop ML … inference APIs, microservices, and data/feature pipelines. Build full‐stack tools to support model evaluation and transparency. Integrate ML models into real‐time production systems. Implement automated training, monitoring, and evaluation workflows. Use and contribute to AI‐assisted development tools. Own DevOps and security standards for assigned services. Collaborate ...

Задачи Design and build robust, secure APIs and backend components for AI/ML, GenAI, and agentic applications; Engineer agentic systems by integrating LLMs with tools, data sources, and business workflows into reliable production-grade pipelines; Drive systems from prototype to production, owning reliability, scalability, and operational readiness; Improve code … quality, structure, and production readiness across the AI/ML stack; Debug and resolve issues across APIs, environments, and integrations; Act as the primary technical partner between Data Science and Engineering, DevOps, and Infrastructure teams; Support colleagues whose systems integrate with AI/ML and agentic components; Resolve technical ambiguity ...

SkillsExperience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such … OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. BenefitsCompetitive SalaryBonus SchemePrivate Healthcare Insurance25 Days ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate … support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate … support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies ...

consistently and correctly logged and that model artefacts are registered with full provenance from data through to prediction. You will work closely with ML engineers at model handover, reviewing documentation and signing off before accepting operational ownership. This role is for someone who takes pride in operational excellence … distributed training and fine-tuning jobs, ensuring efficient use of available compute and resolving job-level failures Participate in a structured model handovers with ML engineers, reviewing and signing off documentation before accepting full model operational ownership of shipped models Deploy, monitor and manage model serving endpoints, making technical decisions ...

Help accelerate how teams across JPMorganChase use artificial intelligence to deliver measurable impact. In this role, you will shape firmwide learning, awareness, and change efforts that build practical AI literacy and support responsible adoption. You will partner with stakeholders across the Commercial & Investment Bank to create clear, engaging enablement … communications. You will also help make AI tools and information easier to find and understand through a centralized inventory. If you enjoy combining learning, communications, and emerging technology, this is a high-visibility opportunity to grow your impact. As an AI Knowledge Enablement Senior Associate in the AI Enablement ...

Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability. Lead architecture reviews and provide hands-on technical mentorship to engineering … optimisation mechanisms. Your Skills Experienced background in software architecture, highlighted by a dedicated and deep focus on designing, scaling, and productionising complex AI/ML systems. Deep expertise in LLM architecture, prompt engineering, and GenAI application design, paired with a strong understanding of multi-agent systems and autonomous decision-making ...

advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities: Architect, develop, and productionize autonomous and assistive AI agents … Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands-on experience ...

through data. This position collaborates with colleagues and stakeholders across the organisation to provide the tools and capability enabling Data Engineering, Reporting, Advanced Analytics, Machine Learning and Gen AI. The role requires a blend of technical expertise, business acumen, and collaboration to create platform features which promote … Design and Implement cloud-native data platforms capabilities that support federated use cases across data engineering, BI/reporting, advanced analytics, and AI/ML workloads. Deliver solutions which align to cloud platform engineering standards, patterns, and best practices to ensure consistency, reliability, and cost-efficiency. Ensure delivery of robust ...

LexisNexis GTO seeks an Machine Learning Engineering Lead to drive production ML/AI capabilities for legal research and analytics. You will guide architecture, MLOps, and responsible AI, while writing and reviewing complex AI/ML components. The role focuses on scalable, governed AI-enabled workflows and cross ...

foundation in probability, to support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices … founding member of the organization that's delivering brand-new products that democratize modeling and analytics solutions. Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join ...

transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with using low code applications such as Microsoft Copilot Studio and Power Platform. ...

translating them into practical action. Skills and attributes for success What we look for Demonstrated proficiency in: Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative ...

architectures. You will play a key role in enabling data-driven decision-making by ensuring data is reliable, accessible, and optimized for analytics and machine learning use cases. Key ResponsibilitiesData Engineering & ArchitectureDesign, develop, and maintain scalable ETL/ELT pipelinesBuild and optimize data warehouses, data lakes, and lakehouse ...

marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation.· Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data· Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely ...

strong track record of hands-on execution and delivery in complex data environments. Deep practical understanding of the database ecosystems that power AI and machine learning infrastructure (e.g., Vector databases, NoSQL, and Document stores).Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep ...

configurations and content managed through Infrastructure-as-Code and DevOps principles. AI – Drive the adoption of emerging AI capabilities across security operations, leveraging machine learning, generative AI, agentic workflows, and Retrieval-Augmented Generation (RAG) to enhance analysis, automate decision-making, and accelerate security response. As the successful candidate ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. RequirementsKey Responsibilities: Develop Data Engineering solutions ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

deadlines- Master's Degree in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related field.- Experience with Large Language Models, NLP, or Machine Learning.- Experience with Python libraries for data analysis such as pandas and scikit-learn.- Familiarity with AI coding assistants. Preferred qualification - PhD in Applied Linguistics ...

effectively. Your primary responsibilities will include: Engineer trusted, analysis-ready biological data solutions for computational biologists , statistical geneti sists , data scie ntists , AI/ML engineers in the context of target & biomarker discovery Build and operationalise Omics data products and analytical workflows across transcriptomics, single-cell omics, CRISPR/functional ...