226 to 250 of 3,473 Machine Learning Jobs in London

evolves.Desired QualificationsExperience working with distributed data processing frameworks, including Apache Spark.Exposure to advanced analytics or AI‐adjacent data use cases, including preparing data for machine learning or intelligent applications.Familiarity with additional Azure services such as Azure Functions or Logic Apps in support of data workflows.Experience supporting data platform ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the role and team AI platforms are still mostly run like … alerting on. Incident management: Calm, methodical instincts under pressure, and a habit of fixing the class of problem rather than the instance. AI and ML operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration ...

configurations and content managed through Infrastructure-as-Code and DevOps principles. AI – Drive the adoption of emerging AI capabilities across security operations, leveraging machine learning, generative AI, agentic workflows, and Retrieval-Augmented Generation (RAG) to enhance analysis, automate decision-making, and accelerate security response. As the successful candidate ...

responsible for building and operating the data foundations that support a wide range of customer-focused use cases, including Customer 360, analytics, AI/ML, marketing and data-driven commercial initiatives . This is a hands-on engineering role for someone who enjoys solving complex data problems, building scalable solutions … data ingestion and transformation pipelines for high-volume customer data. Develop robust, reliable and production-grade data solutions supporting Customer 360, analytics, AI/ML, marketing and commercial use cases . Contribute to solution design and technical architecture , taking a holistic view of systems, integrations, dependencies and potential risks. Build ...

intelligent systems are built and delivered at JPMorganChase. In this role, you’ll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You’ll collaborate closely with senior engineers, learn through real design discussions, and grow your … in. As a Software Engineer, Senior Associate, in the LLM Suite Engineering team, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with ...

Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership Key Competencies Proven experience in data engineering … Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years ...

data products that make the most of Trainline's extensive datasets and the latest algorithmsBuild tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflowsProvide technical mentorship and support the development of less experienced engineers, without formal people management responsibilityTake an active role … ML community, helping foster a culture of rigorous learning and experimentationWe'd love to hear from you if you have... An advanced degree in Computer Science, Mathematics or a related quantitative discipline, or equivalent experienceConsiderable experience productionising machine learning models, with strength in an area such ...

data governance, access control, and security practices in cloud environments.Experience with large-scale ETL/ELT design and migration programmes.Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms.Demonstrated experience with cloud cost management and FinOps practices.Experience managing vendor contracts, procurement, and commercial negotiations.Strong stakeholder … working knowledge of modern cloud data platforms (Azure Databricks/Spark using Python and associated frameworks, or Snowflake equivalent).Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms.Strong working knowledge of cloud storage solutions (Azure Data Lake, Blob storage, or equivalent).Strong experience ...

access control, and security practices in cloud environments. Experience with large‐scale ETL/ELT design and migration programmes. Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms. Demonstrated experience with cloud cost management and FinOps practices. Experience managing vendor contracts, procurement and commercial … knowledge of modern cloud data platforms (Azure Databricks/Spark using Python and associated frameworks, or Snowflake equivalent). Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms. Strong working knowledge of cloud storage solutions (Azure Data Lake, Blob storage, or equivalent). Strong ...

products that make the most of Trainline's extensive datasets and the latest algorithms Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows Provide technical mentorship and support the development of less experienced engineers, without formal people management responsibility Take an active role … ML community, helping foster a culture of rigorous learning and experimentation We'd love to hear from you if you have An advanced degree in Computer Science, Mathematics or a related quantitative discipline, or equivalent experience Considerable experience productionising machine learning models, with strength in an area ...

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. RequirementsKey Responsibilities: Develop Data Engineering solutions ...

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 ...

deadlines- Master's Degree in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related field.- Experience with Large Language Models, NLP, or Machine Learning.- Experience with Python libraries for data analysis such as pandas and scikit-learn.- Familiarity with AI coding assistants.Preferred qualification - PhD in Applied Linguistics, Computational ...

complex datasets more effectively.Your primary responsibilities will include:Engineer trusted, analysis-ready biological data solutions for computational biologists, statistical genetisists, data scientists, AI/ML engineers in the context of target & biomarker discoveryBuild and operationalise Omics data products and analytical workflows across transcriptomics, single-cell omics, CRISPR/functional genomics ...

effectively. Your primary responsibilities will include: Engineer trusted, analysis-ready biological data solutions for computational biologists , statistical geneti sists , data scie ntists , AI/ML engineers in the context of target & biomarker discovery Build and operationalise Omics data products and analytical workflows across transcriptomics, single-cell omics, CRISPR/functional ...

build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. … production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. ...

Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next‐generation recommendation and ranking models. Solve complex, non‐linear travel journeys … closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi‐task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid‐level ML scientists. Foster a culture of technical excellence, driving best practices ...

Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys … closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices ...

Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems.Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys by utilizing … closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical.Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices ...

future of music is SoundCloud.We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you’ll bring strong engineering fundamentals … full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love. You'll own features end-to-end: from understanding user needs with Product ...

generative AI solutions that can move from experimentation into production. You’ll work closely with product owners, data engineers, software engineers, and other ML practitioners to design, test, improve, and deploy AI/ML capabilities at scale.This is a hands-on role for someone who enjoys solving technical problems, writing … turning ideas into reliable systems.Job Responsibilities:Apply machine learning, deep learning, and generative AI techniques to business problemsDesign, run, and evaluate ML experiments using current tools and frameworksWork with large language models, AI agents, and related methods to enhance ML workflowsWrite production-quality code and own solutions ...

/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g. ...

hackajob is partnering directly with Accenture to hire for this role. YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g. ...

hackajob is partnering directly with Accenture to hire for this role. YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g. ...

innovation in this fast evolving space as new technologies reshape how money moves. In this role, you will work at the forefront of modern machine learning and generative AI to deliver meaningful, lasting impact on global finance. You will partner closely with product, operations, risk, and technology teams … measurable outcomes. You will also have opportunities to mentor others and help shape how we build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment of machine learning ...