951 to 975 of 2,708 Machine Learning Jobs in London

geographical areas (Europe, Americas, Asia, Africa and Oceania). Role: Statistical data processing (Data Mining) Artificial Intelligence (AI), including generative AI Predictive modeling using Machine Learning and Data Science techniques Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo) Development, validation and audit ...

sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform ...

platforms. A strong understanding of platform engineering, DataOps, CI/CD, observability, reliability, resilience, data quality, security and production support. Practical knowledge of AI, machine learning and Generative AI workloads, including the data, governance, retrieval, MLOps and cost considerations needed to support them. Awareness of responsible AI, data ...

including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile)In-depth knowledge of the financial services industry and IT systemsPractical cloud native experiencePreferred Qualifications, Capabilities, and Skills: Experience with ...

scale our data engineering pipelines, specifically handling high-resolution geospatial and climate datasets. You’ll partner closely with our data scientists to integrate machine learning models and LLM workflows, helping to automate underwriting insights and power our real-time risk dashboard. You’ll make critical architectural decisions ...

such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies Your Role Level JPMorganChase ...

sales lifecycle in a technical pre‐sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform ...

sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform ...

regulatory requirements. Familiarity with business‐critical domains such as finance, operations, commercial, or people data. Experience supporting data platforms intended to enable advanced analytics, machine learning, or AI use cases. Experience operating within a product‐based or data‐product delivery model. Why Join/Opportunity Lead the evolution ...

scale AI-powered systems that solve unique challenges for global clients. This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation. What you'll be doing: Creating reliable, reusable, and scalable ...

Experience with Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (e.g., A/B testing). Machine learning and Generative AI experience. A genuine enthusiasm for Generative AI and a growth mindset toward how emerging tools can accelerate analytical work ...

continuous integration/continuous delivery, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver ...

what algo1 becomes. The Role This role reports to our Head of B2B Product, James. Working with him and our product, design, mobile, and machine-learning teams, you'll design and build the web experiences that redefine how brands and retailers serve their shoppers. ...

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 ...

enable our data driven approach, and: Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost. ...

high-pressure production incidentsDesired* 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 ...

analytical datasets- Collaborative analytical workflowsPreferred QualificationsExperience with one or more of:- Posit Connect- R package development- SQL- Arrow or DuckDB- AI-assisted analytical workflows- Machine learning methods for exploratory analyses- Clinical dashboards and interactive reporting- User training and scientific presentations- Familiarity with software development workflows and contributing feature ...

commuting distance of London, able to work 1–2 days a week from our central office. Nice to have Experience building, deploying, and maintaining machine-learning pipelines in production (the maintenance matters as much as the building). Experience with Retrieval-Augmented Generation, and with vector or graph ...

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 ...

both technical and non-technical audiences. You’ll stand out if you bring Championing a data mindset across the org. Applying advanced analytics/machine learning techniques to real-world datasets. IDE automation and AI tooling (Cursor, Claude, Copilot, Vertex, Gemini, etc.), LLM integrations applied to data ...

handle high-pressure production incidentsDesiredExperience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysisProven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutionsHands-on experience with containerization technologies such as Docker and Kubernetes, including cluster ...

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 ...

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 ...