901 to 925 of 2,708 Machine Learning Jobs in London

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 ...

comparable — including supervisor/multi-agent patterns. Strong AWS engineering background (Bedrock, Lambda, S3, IAM, CloudWatch); production operating experience on AWS-native AI/ML stacks. Demonstrated experience designing evaluation frameworks for non-deterministic AI outputs: golden datasets, regression testing, human review workflows, agent-level metrics. What We Offer: Competitive ...

related technical discipline. Experience with virtualized or cloud-based test environments. Experience developing developer productivity platforms or internal engineering tools. Experience with AI, ML, or Agentic AI solutions applied to software development, testing, or operational workflows. Experience in telecommunications, networking, satellite communications, aviation, in-flight connectivity, or other distributed systems ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

international teams. Nice-to-Have Experience supporting customer-facing digital products, ideally in banking, fintech, or other regulated industries. Exposure to AI/ML platforms, model-serving environments, GPU-enabled infrastructure, or MLOps practices. Familiarity with security, compliance, and governance expectations in enterprise software environments. Experience contributing to platform modernization ...

Software team at CoMind spans the full stack of a regulated medical device company — from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

Your impact Secure, repeatable deployments across enterprise cloud environments. Increasingly, Gigaton deploy cloud workloads across GCP, AWS, and Azure, so that we can deploy ML‐Ops and data solutions inside our customer’s perimeter. You will help to design, simplify, and improve our entire stack so that we can meet ...

complex concepts clearly and concisely to diverse audiences. Technical Acumen: Familiarity with relevant technologies and platforms impacting FX markets (e.g., APIs, blockchain, AI/ML, cloud computing). Leadership: Ability to lead cross-functional teams, influence stakeholders, and drive consensus. Results-Oriented: A proactive and driven individual with a strong ...

transitions and operating model transformations for global financial services clients Published thought leadership in SRE, platform engineering, or IT transformation Experience with AI/ML‐driven operations (AIOps) and emerging automation technologies ITIL 4 Managing Professional or Strategic Leader certification Benefits We help take care of your today and tomorrow ...

choices, production readiness and handover quality within the scope of each initiative. Skills & Experience: Essential Minimum 4+ years’ experience in software engineering, AI/ML workflow delivery or systems integration, with a demonstrable track record of full-stack delivery in production AI environments. Minimum 2+ years’ operating in a senior ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks.* Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack.* A proven track record architecting and designing scalable solutions that ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks. Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack. A proven track record architecting and designing scalable solutions that ...

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). Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine ...

Agentic Strategy 2030 into working, governed and value-generating systems. The postholder will build and lead the team responsible for AI/ML model development and agentic engineering across the three pillars of the AI strategy; AI for Service Delivery, AI for Digital Products and AI for Productivity. This spans … performing team in a PE-backed environment. MAIN RESPONSIBILITIES AND DUTIESAI & Agentic Engineering Delivery Lead the design, development and production deployment of AI/ML models and agentic systems across the Group, delivering the prioritised use cases on JTC's two-year roadmap (55 use cases selected on value, feasibility ...

recall against dangerous behaviours nobody has seen yet? These are difficult questions – conceptually and empirically. Day to day this looks like: designing and running ML experiments (including RL and other optimisation-heavy work), building the adversarial attacks that generate the evidence, writing arguments, and arguing them out with the rest … looking for, rather than a list of everything we expect to find in one applicant. Demonstrated ability to design, build and run ML experiments on frontier models, and to work autonomously on complex research projects involving substantial engineering. This includes black-box work (API-based evaluations and attacks) and ideally ...

JPMorgan Chase is seeking an Applied AI ML Director - NLP/LLM and Graphs within the Machine Learning Centre of Excellence (MLCOE). You will apply advanced ML methods to NLP, graph analytics, speech analytics and time series, collaborating with business, technology, legal, and control partners to deploy ...

Relation, a TechBio company in London, is seeking a Senior Machine Learning Research Engineer to design, build, and scale generative and predictive models … cellular behaviour. You will bridge theory and production, creating robust training pipelines and scalable infrastructure for multi-omic data. You will collaborate with ML scientists and engineers across biology and computation, optimise GPUs and distributed training, and deploy models into discovery workflows used by researchers. #J-18808-Ljbffr ...

this role, you will work on AI projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love … about our vision: Agentic AI for Data AnalysisRequirementsMS or Ph.D. in Computer Science, Mathematics, or a related fieldStrong programming skills in Python, and relevant ML and GenAI libraries (e.g., langchain, langgraph, TensorFlow, PyTorch, scikit-learn)Hands-on experience evaluating pre-trained models, and fine tuning or training modelsExperience ...

organizations. In this role, you will: Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements … required Experience with managing a data platform, including monitoring and managing releases, costs and infrastructure changes Expertise or experience with the deployment of ML pipelines Exposure to trade compliance, supply chain management or a field similarly related to international commerce Experience working with or within the public sector Familiarity using ...

Applied Artificial Intelligence and Machine Learning team in Corporate and Investment Banking is transforming the operations of the world's largest bank by leveraging the latest advancements in open source artificial intelligence and proprietary frontier models. To facilitate rapid growth, the team is focusing expertise in key "Domains … contributions to open source projects and/or led the development and maintenance of AI systems vital to business operations. As an Applied AI ML Director within the Corporate and Investment Banking Applied AI team, you will lead a team of experts to develop horizontal capabilities through APIs, libraries ...

years of professional experience writing clean, preferably in modern C++, with a strong grasp of memory management and multi-threading. AI/ML Familiarity: Academic or professional experience working with machine learning libraries and frameworks. Interest in trading and financial markets. Ability to work in a fast-paced ...

solve their most critical business problems. Minimum qualifications: Currently enrolled in or graduated from a PhD program. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Experience in computer science and software design. Preferred qualifications: Experience … Generative AI. Experience with data structures and algorithms. Knowledge of Python programming. Responsibilities: Help scaling data optimization techniques improving the performance and quality of ML models. Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques. ...

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 ...