1,151 to 1,175 of 2,180 Machine Learning Jobs in London

for our global customers. Whether it is a strategic conversation that needs to be had with customers or a technical discussion with architects and machine learning engineers, we have a wide variety of roles in the team that gives our employees the ability to expand their skills and More ❯

Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience with theory and practice of information retrieval, data science, machine learning and data mining. - Experience with theory and practice of design of experiments and statistical analysis of results. - Experience with Python, Spark SQL More ❯

Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. Experience with theory and practice of information retrieval, data science, machine learning and data mining. Experience with theory and practice of design of experiments and statistical analysis of results. Experience with Python, Spark SQL More ❯

building internal data communities or enablement programs Working with diverse data sources (APIs, CRMs, SFTP, databases) and formats (Parquet, JSON, XML, CSV) Exposure to machine learning models or AI agents Why Join Us Help shape the future of data in an organization that treats data as a product More ❯

Advanced Analytics Build and deploy predictive models for key areas like: Pricing & inventory optimisation Competition/gaming dynamics and participation forecasting Leverage statistical and machine learning approaches while prioritising explainability and business fit. Embed A/B testing frameworks, causal inference, and uplift modelling into decision-making processes. More ❯

Python experience for programming Databases, SQL and NoSQL (CosmosDB, KQL) Data Modelling: Kimball frameworks and 3NF Nice To Have Databricks Power BI AI/ML Azure Infrastructure DevOps Certifications Microsfot certified: fabric Analytics Engineer Associate DP-203 Azure data Engineering AZ-305 Azure Solutions Architect. If this sounds like you More ❯

valuable insights that empower our clients.. Tech: Python, Databricks, Cloud (AWS), ETL, SQL 💡 The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud-native architectures Data mesh and data fabric patterns More ❯

valuable insights that empower our clients.. Tech: Python, Databricks, Cloud (AWS), ETL, SQL 💡 The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud-native architectures Data mesh and data fabric patterns More ❯

Bash, or Python Software engineering best practices (Git workflow, CI/CD, clean code, unit testing) Desirable Skills: Python development, especially involving AI/ML Graphics APIs such as Vulkan, DirectX, or Metal Experience with 3D tools (e.g., Blender, Maya) or 2D tools (e.g., Photoshop) C/C++ development for More ❯

Bash, or Python Software engineering best practices (Git workflow, CI/CD, clean code, unit testing) Desirable Skills: Python development, especially involving AI/ML Graphics APIs such as Vulkan, DirectX, or Metal Experience with 3D tools (e.g., Blender, Maya) or 2D tools (e.g., Photoshop) C/C++ development for More ❯

Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced analytics. Ideally industry experience within Insurance **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by More ❯

role in driving quantitative deliveries across all of the banks Global Markets businesses managing the core data and analytics platform, including Data, AI/ML, and Governance & Core Engineering. This individual will be responsible for delivering user-facing analytics capabilities to businesses across the markets division. We are seeking an More ❯

role in driving quantitative deliveries across all of the banks Global Markets businesses managing the core data and analytics platform, including Data, AI/ML, and Governance & Core Engineering. This individual will be responsible for delivering user-facing analytics capabilities to businesses across the markets division. We are seeking an More ❯

platforms (HubSpot, Salesforce, Iterable, etc.). Bonus Points: Experience with Google Analytics, Mixpanel, Segment, or other event tracking tools . Knowledge of AI/ML models for marketing insights and predictive analytics . Familiarity with Redis, Huey (or Celery) for background task processing . Experience with Stripe, Google Pay for More ❯

platforms (HubSpot, Salesforce, Iterable, etc.). Bonus Points: Experience with Google Analytics, Mixpanel, Segment, or other event tracking tools . Knowledge of AI/ML models for marketing insights and predictive analytics . Familiarity with Redis, Huey (or Celery) for background task processing . Experience with Stripe, Google Pay for More ❯

Senior Software Engineer | AI Digital Transformation Salary: Up to £100,000 plus benefits Technology: Python, Microservices, CI/CD, AI/ML, LLM or RAG Location: Hybrid/London (onsite twice a week) Multiple Vacancies An innovative company focused on enhancing client experiences through advanced technology solutions is looking for More ❯

to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At Agitprop, we harness the latest insights from More ❯

to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At Agitprop, we harness the latest insights from More ❯

junior team members. Analyze and visualize data to craft compelling narratives and communicate insights effectively. Stay updated with advancements in AI, data science, and machine learning. Document methodologies, findings, and insights for transparency and knowledge sharing. Work with cross-functional teams to define data requirements, design experiments, and extract More ❯

and strong programming skills. Experience with real-time data processing and streaming architectures is essential, as is a track record of building systems supporting ML operations at scale. The GOX team has earned recognition for creating tools and systems that drive operational excellence across Amazon's global network. Join us More ❯

AWS Enterprise Support, you will play a crucial role in fostering our customers' innovative and transformative endeavors across various technologies, including GenAI, AI/ML, Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security, and more. This is not a sales role; instead, it offers you the More ❯

technologies (e.g., Ab Initio, Mulesoft) and data architecture (e.g., Snowflake, Tableau, Microstrategy). Knowledge of cloud platforms (AWS, Azure, Google Cloud) and AI/ML enablement . Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity More ❯

data engineering, data science, or analytics. Understanding of privacy regulations (GDPR, CCPA) and their impact on data collection strategies. Experience working with AI/ML applications and understanding how data quality affects model performance. What We Offer You in Return: A competitive package, including share options. Flexible working. A generous More ❯

landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities to enable better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover More ❯

associated goals. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing More ❯