201 to 225 of 3,474 Machine Learning Jobs in London

findings to inform team technical decisionsDocument designs, implementation details, and tradeoffs to support maintainability and knowledge sharingSupport scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainabilityPartner with operations stakeholders to understand workflow pain points and translate them … concepts to technical and non-technical audiencesCollaborate effectively on multi-disciplinary teams and incorporate feedback into your workPreferred Qualifications, Capabilities, and SkillsApply AI and machine learning concepts with a strong interest in applied AI productizationBring experience from academic work, projects, internships, or roles applying AI in finance, operations ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

teams.Strong expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering.Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation.Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies … managing production environments in public cloud.Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets.Knowledge of machine learning, statistical techniques, and related libraries.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering. Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. Proficiency in automation and continuous delivery methods; advanced understanding of agile … environments in public cloud. Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. Knowledge of machine learning, statistical techniques, and related libraries. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more.Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your ...

data quality assessments and validation activities to ensure analytical outputs are accurate and reliable.Contribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilities.Support the implementation of advanced analytical and AI-driven solutions where appropriate.Stakeholder EngagementCommunicate analytical findings clearly and effectively to technical … platforms.Cloud-based platforms such as Microsoft Azure, AWS or Google Cloud.Experience in some of the following areas would also be beneficial:Generative AI and machine learning concepts and applications.Structured and unstructured data management.Statistical analysis and predictive modelling.AI-enabled analytics and automation solutions.Personal AttributesCurious, proactive and eager to learn.Strong ...

technical assets, demo quality, and stakeholder feedback.What experience you'll bring:Basic Qualifications:5+ years of experience in software engineering, AI engineering, data engineering, ML engineering, solution engineering, technical consulting, or related hands-on technical roles.2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data … model registries, and MLOps/LLMOps tooling.Experience working directly with clients, sales teams, or product teams to rapidly prototype solutions under ambiguous conditions.AI/ML, cloud, data engineering, or software engineering certifications.Strong technical curiosity, client empathy, communication, bias for action, collaboration, and ability to explain complex technical concepts clearly.Ability ...

assets, demo quality, and stakeholder feedback. What experience you'll bring: Basic Qualifications: 5+ years of experience in software engineering, AI engineering, data engineering, ML engineering, solution engineering, technical consulting, or related hands-on technical roles.2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data … MLOps/LLMOps tooling. Experience working directly with clients, sales teams, or product teams to rapidly prototype solutions under ambiguous conditions. AI/ML, cloud, data engineering, or software engineering certifications. Strong technical curiosity, client empathy, communication, bias for action, collaboration, and ability to explain complex technical concepts clearly. Ability ...

firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this … with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data ...

firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this … skillsExperience with data, AWS and AIML engineering in commercial settings, preferably in financial sectorExperience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists ...

multiple ways to solve most technical problems and are willing to debate the trade‐offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest … experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands‐on work with LLMs, AI tooling, or ML systems. Strong Python skills and comfort reading, debugging, and prototyping production‐quality code. Demonstrated experience deploying technology directly with end users in a forward‐deployed, solutions ...

multiple ways to solve most technical problems and are willing to debate the trade-offs.Have become a stronger engineer by making mistakes and learning from them.Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.WeContinuously invest in a high-performance … experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands-on work with LLMs, AI tooling, or ML systems.Strong Python skills and comfort reading, debugging, and prototyping production-quality code.Demonstrated experience deploying technology directly with end users in a forward-deployed, solutions engineering ...

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 ...

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, ensuring seamless … 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 AssociateLondon Stock Exchange Group (LSEG) Information:Join us and be part ...

deliver scalable data infrastructure, APIs, and services with a focus on reliability, performance, data integrity, and innovation—including the integration of AI/ML capabilities to enhance data solutions and developer productivityHow You’ll Make an Impact: Lead and mentor a high-performing software engineering team, fostering technical excellence, accountability … teams and driving organization-wide engineering improvements.Why Choose Fitch: Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility.A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunityInvesting ...

LLMOps practices on AWS to build scalable, secure AI systems.What You'll Be DoingDesign, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection.Build and deliver Generative AI and LLM-powered applications using modern AI frameworks.Lead experimentation cycles, defining hypotheses, running … evaluations, and iterating on models before production deployment.Develop robust ML pipelines using AWS services and MLOps tooling.Implement experiment tracking, model versioning, monitoring, and reproducibility best practices.Build feature engineering pipelines and contribute to feature store development.Monitor production models, optimise performance, and drive continuous improvements.Apply Responsible AI principles, including explainability, governance ...

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. ...

technical strategies that expand platform usage.The Impact You Will HaveIndependently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learningBuild and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical winsOwn frontline technical relationships with customer engineers … Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master ...

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 architecturesEnsure ...

client CTOs, architects, and business leaders to define and advance cloud strategies and transformation roadmaps.Provide thought leadership on emerging trends such as AI/ML integration, advanced data platforms, FinOps, and edge computing.Present architectural proposals, risk assessments, and governance recommendations to stakeholders.6. Automation, DevOps & SRE EnablementDesign and implement … change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.Visit to see how Infosys can help your ...

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 practical experience ...