751 to 775 of 2,708 Machine Learning Jobs in London

Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. ...

Linux platformCandidate must be willing to learn C++. Experience in C++ is a strong plusCandidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. ...

QUALIFICATIONS2:1 or above in a Bachelor's degree in a technical field (computer science, mathematics, AI, machine learning, data science, engineering, etc.)Functional knowledge and passion for digital technology and IT, as well as business and strategyProven record of leadership in a work setting and/… coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear ...

Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user … management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable ...

write code, build prototypes, and lead by example. Team Building & Mentorship: Recruit, hire, and mentor a high‐performing, agile team of software and machine‐learning engineers. Foster a culture of innovation, excellence, and accountability. Strategic Roadmapping: Partner closely with product management and senior business leaders in banking … Collaboration: Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain), and other AI/ML technologies ...

write code, build prototypes, and lead by example. Team Building & Mentorship: Recruit, hire, and mentor a high-performing, agile team of software and machine learning engineers. Foster a culture of innovation, excellence, and accountability. Strategic Roadmapping: Partner closely with product management and senior business leaders in banking … Collaboration: Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies ...

write code, build prototypes, and lead by example. Team Building & Mentorship: Recruit, hire, and mentor a high-performing, agile team of software and machine learning engineers. Foster a culture of innovation, excellence, and accountability. Strategic Roadmapping: Partner closely with product management and senior business leaders in banking … Collaboration: Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies ...

Computer Science, Artificial Intelligence, or a related field. Experience with LLM agents, autonomous multi-step reasoning systems, meta-learning, or self-improving ML pipelines. Experience with large-scale data pipelines (e.g., Apache Beam) or foundation model training and fine-tuning at scale. Experience working in research environments or track … record of published research in relevant AI/ML conferences. Domain experience in life sciences, drug discovery, cybersecurity, or developer tools/coding agents. Responsibilities: Design and build the self-improving meta-agent framework-scaffolding, diagnostic tools, and feedback loops across science, cybersecurity, and coding agents. Deploy, monitor, and improve ...

Computer Science, Artificial Intelligence, or a related field. Experience with LLM agents, autonomous multi-step reasoning systems, meta-learning, or self-improving ML pipelines. Experience with large-scale data pipelines (e.g., Apache Beam) or foundation model training and fine-tuning at scale. Experience working in research environments or track … record of published research in relevant AI/ML conferences. Domain experience in life sciences, drug discovery, cybersecurity, or developer tools/coding agents. Responsibilities: Design and build the self-improving meta-agent framework-scaffolding, diagnostic tools, and feedback loops across science, cybersecurity, and coding agents. Deploy, monitor, and improve ...

Staff ML Engineer | Agentic AI | ML Engineering | London (3 days per week on-site) | Contract | Inside IR35 We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function. Rather than building AI capability from scratch, the organisation has already invested heavily in enterprise … hallucination mitigation Influencing senior engineering stakeholders without direct line management Requirements Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn Contract £750-900 per day (inclusive) Initial 6 months with long ...

Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models. What … target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed. Skills You’ll Need 5+ years of experience in developing DL systems with ...

help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow … EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly ...

approaches for extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset ManagersDevelop and maintain robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation … process. Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit if: Substantial experience querying, cleaning, compiling, and analyzing big data. Familiarity applying various computational social science methods including data mining ...

maintain visibility of programme progress and address concerns proactively. Champion agile delivery, value-stream thinking, and continuous learning across AI/ML workstreams. Maintain financial oversight of portfolio budgets and ensure timely reporting to leadership. Identify opportunities to scale, standardise, and accelerate deployment across audit domains. As our firm …/or other KPMG offices. The person: Experience and knowledge requirements: Extensive experience in programme management or technology leadership roles within AI/ML, data science, and/or software development. Proven ability to lead large-scale, interdisciplinary initiatives in complex, regulated environments. Understanding of the software product development lifecycle ...

future. We provide our reps with an environment where they can make incredibly valuable contributions from day one, while also building endless opportunities for learning and career growth. The work you do here will directly impact the security, trust, and digital experience of the world's largest organizations. … with clients to position identity as the critical foundation for their AI initiatives, ensuring they can safely deploy AI agents, automate workflows, and manage machine-to-machine identities without compromising security. Expand & Deepen: Land, adopt, expand, and entrench sales opportunities within Fortune 500 accounts across your region. Navigate ...

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

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

preferred) in Data Science, Technology, Mathematics, Statistics, Business Administration or equivalent work experience. Proven experience building and commercialising data-driven, advanced analytics, AI, and ML products using multiple data sources, including payments, card transactions, macroeconomic, and syndicated data. Experience in two or more of the following areas: forecasting and predictive ...

here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Role Overview We are seeking a ML Ops Engineer to join our Platform Engineering team at Anaplan. In this role, you will design, scale, and maintain high-performance MLOps and LLMOps infrastructure … supporting our cutting-edge AI-infused scenario planning platform. You will work closely with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while ensuring optimal GPU utilisation, reliability, and cost-efficiency. Your Impact Provision and manage cloud-native AI/ML infrastructure utilising ...

Boehringer Ingelheim GmbH in London seeks a Senior Cloud Engineer, ML Platforms to design, build and maintain AWS-based infrastructure that enables machine learning workflows for researchers and ML teams. You will collaborate with researchers, ML engineers and platform teams, implement IaC, ensure security and governance, and support ...

limitations. LLM Serving stack: Experience with the LLM serving stack (e.g. vLLM) for open weight models for bringing the latest models to internal users. ML Literacy: Experience evaluating probabilistic ML systems and managing model "tool use", contexts and loops. First-Principles Thinking: A hype-detached approach to solving problems … ability to explain technical risks to non-experts. Nice to haveApplied LLM Experience: Prior success building and scaling systems centered around Large Language Models. ML Infrastructure: Experience setting up the underlying hardware or orchestration for ML systems. GCP: Prior experience building and deploying systems on Google Cloud (GCP).Scientific Domain ...

JPMorgan Commercial & Investment Bank is seeking an outstanding Applied AI/ML Senior Associate Machine Learning Engineer to advance state‐of‐the‐art AI in financial services. You will blend research with software engineering, build reusable AI components, and help automate decisions across business domains. The role emphasizes … collaboration with cloud, SRE, and software teams, delivering production ML services while maintaining rigorous documentation and compliance practices. #J-18808-Ljbffr ...

Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We focus on advanced algorithms and training techniques for Large Language Models (LLMs) and Data-Centric Machine Learning. While our Research Scientists push the boundaries of what models can do, the Research Engineering team … working in a Research Lab or "0-to-1" innovation environment. Experience owning the end-to-end lifecycle of an internal developer platform or ML tooling product, including defining adoption metrics and iterating based on user research. Background in Platform Engineering. Experience contributing to open-source LLM or NLP libraries. ...

medicines. The AI Systems team designs, builds and deploys multimodal foundation models across biomedical data to enhance and accelerate portfolio decision-making. Задачи: Bring ML engineering expertise into architectural design, ensuring foundation models are efficient and scalable; Implement biomedical foundation model components, including training code, data loaders, tokenisers, inference logic … team; Lead model handovers to MLOps engineers with documentation covering capabilities, known limitations, failure modes and retraining criteria; Stay current with advances in ML engineering, distributed training and biomedical AI tooling. Требования: Hold a postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field ...

biomedical data landscape that will be used within Computational Innovation to enhance and accelerate portfolio decision-making. THE POSITIONWe are looking for a Senior ML Engineer to join the AI Systems team and work at the frontier of biomedical AI. This is a hands-on engineering role with real stakes … research to production. Your engineering work will go far beyond the model card; it will connect directly to human health outcomes. Key Responsibilities Bring ML engineering expertise into architectural design from the start, ensuring foundation models are designed to be efficient and scalable Implement biomedical foundation model components such ...