926 to 950 of 2,566 Machine Learning Jobs in London

pressures production incidents Desired Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes ...

/GitHub, GitHub Actions, and Docker. Experience developing microservices and/or Lambda-based solutions. Strong experience with PostgreSQL. Experience working with AI/ML technologies, particularly ASR, TTS, LLMs, or related tooling, is highly desirable. AWS, Terraform, Kubernetes, Hugging Face, PyTorch/TensorFlow, or Generative AI tooling would ...

GitHub Copilot to accelerate developmentBachelor's or Master's degree in Computer Science, Engineering, or related field with 4+ years of hands-on ML/AI engineering experience (or PhD with relevant experience).Strong Python development skills with proven backend engineering experienceHands-on experience building agentic or LLM-powered applications ...

Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular). Experience with ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. Experience ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. ...

third-party suppliers and multiple concurrent priorities will also be important. Exposure to Microsoft Fabric, Power BI, Power Platform, advanced analytics or AI/ML data solutions would be advantageous, as would Microsoft Azure certifications and experience within FMCG, Retail or a multinational organisation. Why Consider This Azure Data Platform ...

Artifactory, Nexus) and secure software supply chain practices. Knowledge of observability systems, telemetry frameworks, and performance optimization for build pipelines. Exposure to AI/ML-driven build acceleration and failure prediction tooling. Prior hands-on software development experience building customer-facing features. At BNY, our culture allows ...

Artifactory, Nexus) and secure software supply chain practices. Knowledge of observability systems, telemetry frameworks, and performance optimization for build pipelines. Exposure to AI/ML-driven build acceleration and failure prediction tooling. Prior hands-on software development experience building customer-facing features. At BNY, our culture allows ...

/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps).Familiarity with database or microservices testing. Experience with new technologies, such as AI/ML within projects. Proficiency in programming/scripting languages: Java, Python, JavaScript, C#, or similar. Demonstrated experience in a technical leadership capacity, with the capability to guide ...

operational data according to sensitivity and security requirements. Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements Capable of finding a balance between best ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

with each feature. About you: Qualifications and experience: Essential: Degree in computer science, software engineering or a related discipline, or demonstrably equivalent professional experience. ML operations capability: comfortable operating model-serving infrastructure and running established training and evaluation pipelines on Linux/GPU hardware process management, resource monitoring, versioned promote ...

public cloud environments (AWS, Azure, or GCP).Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. ...

Directory, LDAP, and federation services. Deep understanding of authentication, authorization, federation, SSO, MFA, RBAC, and JIT/ZSP models. Familiarity with securing AI/ML pipelines, Large Language Model (LLM) ecosystem integrations, and autonomous AI agents. Awareness of AI-specific security frameworks and risks (e.g., OWASP Top 10 for LLMs ...

managed services transitions and operating model transformations for global financial services clientsPublished thought leadership in SRE, platform engineering, or IT transformationExperience with AI/ML-driven operations (AIOps) and emerging automation technologiesITIL 4 Managing Professional or Strategic Leader certificationAbout usWe’re a global, team of innovators. Together, we harness engineering ...

methodologies. Knowledge of various analytical tools, including Qlikview, Tableau, and Access. Proficiency in data analytics tools (e.g., Python, SQL). Understanding of AI/ML concepts and technologies. Education Bachelor's or Master's degree in Finance, Engineering, Computer Science, or a related technical or quantitative discipline from ...

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 ...

evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal‐level technical leadership. Hands‐on experience … building and shipping AI/ML products in production Deep practical experience with LLM‐based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands‐on expertise with vector databases, graph databases, and knowledge graphs End‐to‐end exposure in model lifecycle development, including extensive experience training ...

direct iteration with users. What We RequirePast experience building solutions with LLMs and a deep understanding of overall Gen AI landscape. Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition).Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics … Machine Learning. Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar. Ability and interest in travelling up to 25%, as needed to client sites, but flexible based on personal preferences. Life at PalantirWe want every Palantirian to achieve their best ...

conditioned on action. Run post-training: supervised fine-tuning onto target embodiments, and RL for robustness beyond demonstrations. Key Qualifications A PhD in robotics, machine learning, or computer vision with a robot learning focus, from the PhD alone or followed by industry experience. Publications at top venues … Deep experience with modern robot policy designs (VLA, WAM, diffusion), trained end to end rather than fine-tuned from a released checkpoint. Strong imitation learning fundamentals, and familiarity with RL fine-tuning of pretrained policies. Fluency with VLM backbones and how to adapt them for control. Expert Python ...

team with access to cutting‐edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. You will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict … cohort design through to interpretation, so experiments are analytically tractable and pipelines maximise data value. Contribute to the evaluation framework that determines whether ML models capture meaningful biology: design metrics, held‐out benchmarks, and biological sanity checks. Collaborate closely with ML modellers to develop model architectures. Present findings and methodologies ...

enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted ...

develops and deploys responsible AI solutions for clients across government, finance, retail, energy, life sciences, and defence. Задачи Set the technical direction for complex ML projects, balance trade-offs, and guide team priorities; Design, implement, and maintain reliable, scalable ML and software systems while justifying key architectural decisions; Define project ...

JPMorgan Chase's Chief Data & Analytics Office seeks an Applied AI ML Director - NLP/LLM and Graphs to apply cutting-edge machine learning methods to complex tasks such as NLP, graph analytics, and time-series predictions. You will collaborate with business, technology, product, legal, and compliance teams … deploy solutions into production. The role emphasizes deep learning expertise, agentic AI, and strong communication skills, in a highly collaborative setting across the firm. #J-18808-Ljbffr ...