626 to 650 of 1,428 Machine Learning Jobs in London

Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role, such as risk and controls, change More ❯

with international standards. Maintain high standards of code quality, readability, and maintainability, following clean code principles and modular architecture. Oversee the development and deployment of data pipelines, APIs, and machine learning models in coordination with DevOps teams. Define and embed best practices for data warehousing and Lakehouse architecture (e.g. Medallion). Standardise data development, modelling, and metadata management More ❯

Continuous improvement across the team and wider organisation. Supporting the user acceptance testing process to make sure that implementation meets the needs of the customers. Collaborating with data scientists, machine learning engineers, and AI specialists to define AI-driven solutions that align with business needs. Gathering and analysing requirements for AI-powered features Understanding AI model lifecycle management More ❯

your career potential. Across Amazon, we're working on technology that will transform purchasing and bring savings and efficiency for a digital, intelligent, and sustainable future. Through artificial intelligence, machine learning, and predictive analytics, Amazon Business (AB) brings automation and insights to provide a procurement solution to enable pioneering leaders to have a strategic role in transforming their More ❯

ability to communicate effectively and build relationships. Bonus Skills: Interest in Cloud Technologies: Understanding of cloud services integration within applications, particularly using Kubernetes or similar architectures. Curiosity around AI & Machine Learning: Interest in exploring how AI can enhance user experiences and applications. Please note you do not need to have experience with all of the technologies listed above More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience Preferred qualifications, capabilities, and skills Expertise in building micro services using Java, Spring Boot, AWS Leads the engineering of cutting-edge More ❯

our business units. Our Technology teams offer you an environment full of exciting challenges - whether it's supporting and developing legacy systems or introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our IT department, with around 300 employees, works mostly in an agile manner using a Scrumban approach and covers areas such as More ❯

opportunity to build software that scales the business, leads the industry through innovation and delights millions of customers worldwide. We leverage cutting edge technologies in big data, optimization techniques, machine learning, real time analytics and high volume, low latency, high availability services. If you are looking for an opportunity to solve deep technical problems and build innovative solutions More ❯

Kotlin Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Cloud Preferred qualifications, capabilities More ❯

the luxury e-retail industry and an understanding of its unique challenges and opportunities. Passion for AI and its applications in SEO, with a strong interest in exploring automation, machine learning, and AI-driven insights for optimisation. Bonus Points: Experience with luxury e-commerce sites. Experience with site migrations. Familiarity with technical SEO concepts. Experience with international SEO. More ❯

an environment that will present you with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Our Technology department of around 300 employees works largely in an agile way using a Scrumban approach and covers areas such as More ❯

full time engineers at the company, working from Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm, spanning diverse disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning Development, Optronics Research, Frontend Development and more. We don't expect people to join us with a specific tech knowledge, but we do expect you to work More ❯

Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for More ❯

and R&D teams (including the team behind the incredible Photoleap app!) and take it from there. The Data team drives the decision making process at Lightricks. We use machine learning and statistics to gain insights about our users and develop predictive models. Our classification and recommendation systems allow us to provide better experiences for our users and More ❯

Senior Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of More ❯

with a specific focus on the GB and/or European power systems. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for More ❯

with a specific focus on the GB and/or European power systems. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for More ❯

and assuming breach to limit risk. Comfortable with creating and/or maintaining architectural documentation including LLD/HLDs. Knowledge of Azure AI services and tools, such as Azure Machine Learning and Azure AI Studio. The ability to lead technical projects and work with other technical teams to deliver to project closure. Strong problem-solving abilities and effective More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the Role Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive, and empowering. More ❯

PREFERRED QUALIFICATIONS • Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred • Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies • Knowledge of security and compliance standards (e.g., HIPAA, GDPR) • Expertise in performance optimization and cost management for cloud environments • Strong communication skills with the More ❯

for things that move, like ships and planes, transforming connectivity and digital experiences even in the most remote and hard-to-reach places. The Quvia platform uses AI and machine learning to seamlessly blend any combination of connectivity, regardless of provider, orbit or network, into one, vendor-neutral environment. It then delivers comprehensive, end-to-end analytics and More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

Based on your experience and area of interest, you may work on Technology projects in key areas such as: Cloud & Enterprise Modernisation Data Architecture, Transformation & Analytics Automation, Artificial Intelligence & Machine Learning Platform Modernisation Digital Assets & Decentralised Ledgers Digital Transformation Enablement Wealth Technology Technology Strategy, FinTech & Innovation You will collaborate with colleagues from across Accenture in Technology, Operations and More ❯

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯