101 to 119 of 119 Machine Learning Jobs in West London

coaching). Preferred qualifications: Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team. Experience managing ...

team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. … vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen ...

skills and experience: ITIL v3/v4Professional IT QualificationsProfessional Management QualificationsAdditional Languages: Italian/GermanContent & Metadata Processing WorkflowsDTH & OTT Delivery Principles & TechniquesCloud Operations AI & Machine Learning Big DataMajor Incident Manager in a multicultural Tech/Media CompanyExcel and TableauBenefits and perks There's one thing people ...

Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model development and usage. They engage business and technology stakeholders across the Commercial & Investment Bank's lines of business to ensure processes, tools … controls are in place to support and incorporate AI/ML implementation best practices. As an Sr Associate on the AI/ML Governance team within the Commercial & Investment Bank (CIB), you will have the opportunity to contribute to multiple strategic, global initiatives. This role allows ...

agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production ...

inference tasks. You will develop production-ready pipelines for at-scale data processing using distributed computing frameworks, run and monitor large-scale deep learning experiments, and leverage JAX to establish end-to-end pipelines for fine-tuning foundational models. Your work will involve delivering synthetic datasets for key Android … more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred qualifications: Master ...

test, and maximise the value of models ranging from LLMs to propensity and classification. Contribute to the end-to-end development and deployment of ML and AI models to prove and deliver tangible commercial value. Act as a technical bridge between Data Science and MLOps to embed best practice deployment … maximum impact. We're looking for someone who is: An experienced practitioner: You have 5+ years of experience as a Data Scientist or ML Engineer, covering both classic ML and Generative AI. A proven builder: You've successfully created multiple Data Science products that have moved the needle. A deployment ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

first senior data hire to architect and lead the data infrastructure behind our AI platform, real-time pipelines, analytics, vector databases, and ML data workflows, setting the standards the whole future data team will be built on. This is an individual contributor role: you'll be the senior technical owner … storage architectures across operational and AI workloads Develop and manage batch and real-time data pipelines Build and optimise vector search, retrieval, and ML data pipelines Own data reliability, security, and governance Implement monitoring, observability, and data quality frameworks Set the culture, standards, and hiring bar for the data function ...

this role. Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive … experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related ...

hackajob is partnering directly with Moody's Corporation to hire for this role. Skills and Competencies Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model … market priorities Collaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standards Interact with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportability About the Team You will join ...

work on proposals with your technical skills Use your expertise to provide some thought leadership Significant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi cloud with strong AWS depth). Deep understanding of AI/ML … environments to enterprise ready architectures, balancing speed, robustness, and long term maintainability. Strong background in cloud security, networking, and cost optimisation for AI/ML workloads. Excellent stakeholder skills, able to translate business objectives and programme pressures into clear architectural decisions and technical direction for engineering teams. Qualifications Essential criteria ...

Technology. Proven experience in business development within a medium to large scale IT services provider specifically into the Insurance sector Experience with AI/ML use cases in underwriting, claims, and fraud. Familiarity with cloud ecosystems (AWS, Azure), actuarial data environments, and Insurtech integration. Additional Information Why join Version … Professional Growth: We offer peer mentorship programs and career development opportunities to help you reach your full potential, giving you full access to modern learning platforms to grow your skills. Work-Life Balance : We understand the importance of work-life balance and offer flexible working arrangements. Supportive Community: Join ...

self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform … integration with third party systems and ingestion through APIs) Scope and deliver new data engineering projects in collaboration with business stakeholders Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases Collaborate closely with our dev teams to build seamless integrations between ...

executives around the world. Our unique combination of renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone. Minimum qualifications: Bachelor … managing project life-cycles, establishing scope boundaries, tracking engineering milestones, and delivering complex client reports on time. Direct experience building or securing AI/ML pipelines, utilizing AI security frameworks (e.g., OWASP Top 10 for LLMs, NIST AI RMF), or configuring secure cloud AI environments. Strong experience securing multi-cloud ...

implement data-driven optimizations to enhance efficiency and effectiveness Champion the adoption of agile methodologies and technical solutions, fostering a culture of continuous 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. Required … certification in software engineering concepts and applied experience with risk, controls, or financial technology platforms. Increasing technical fluency in the use of AI/ML and AI-enabled tooling that can be applied to increase productivity, optimize outputs, and support decision-making. ABOUT US J.P. Morgan is a global leader ...

organisations. Data Architecture and Delivery Assurance Leading or assuring the design of complex data and AI solutions that span data integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical … ability to operate confidently with C-level and Director-level stakeholders. Broad technology understanding, including modern data platforms, data integration, analytics, AI/ML, data governance and cloud technologies. Highly proficient in at least three mainstream data technologies and aware of wider data technology trends. Experience working across the full ...

Overview Our client is building advanced AI and autonomy technologies that solve some of the most technically challenging problems in computer vision, robotics and machine learning. Role Overview We are seeking a Senior Robotics Software Engineer to develop, test and deploy software for autonomous and semi-autonomous robotic systems. … Navigation and autonomy systems Sensor fusion and state estimation Gazebo, Isaac Sim, MATLAB/Simulink or similar simulation platforms Real-time systems development Reinforcement learning Pybind11 What We're Looking For Demonstrable experience delivering robotics projects Strong software engineering principles and coding standards Ability to take ownership of technical ...

phase of growth and lead complex transformation initiatives. The Role This is a combination of strong technical leadership, architectural ownership and delivery responsibility of ML systems (from backend infrastructure through to frontend integration). There is an ongoing migration from MLflow to AWS SageMaker, so you will be working closely … higher focus on people leadership (approximately 60/40 split - people leadership/hands-on). About you 10+ years in Software, Data, or ML Engineering 5+ years as a Tech Lead, managing teams of 5+, owning end-to-end technical delivery Proficiency with Python and MLflow Strong AWS/ ...