626 to 650 of 2,929 Machine Learning Jobs in London

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. … concepts underpinning agentic AI systems, including multi-agent orchestration, tool use, memory and context management, RAG, and harness/loop engineering. Understanding of classical ML is a plus. Hands-on production experience with modern agentic AI frameworks, including taking at least one agentic system from design into production and owning ...

made materially better through predictive modelling. We’re looking for someone excited by the opportunity to build that capability rather than inherit a finished machine learning stack. What you’ll do Building our acquisition models. You’ll develop and continuously improve models that help us understand applicant risk … work with our Fraud and Financial Crime team to identify suspicious behaviour earlier, improve fraud detection and reduce unnecessary friction for genuine members. Using machine learning to improve rewards. You’ll work closely with our AI engineers to leverage member data to help surface the right reward ...

fast-paced, high-performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Consult with global 1000 customers to help them understand, structure, and implement … degree preferred. Prior sales experience in SaaS/Product company and management consulting experience. Experience with and understanding of AI and Machine Learning is highly favorable. Proven track record of success in sales with focus on selling SaaS solutions to the Energy sector (i.e. Oil and Gas, Power ...

individual contribution and technical excellence, influencing the broader data science community at Faculty. What you’ll be doing: Serving as a technical authority on machine learning, Generative AI, and other advanced data science methods to deliver innovative and impactful solutions. Leading the development of shared resources, frameworks … standout examples where you’ve led the delivery of distinctive applications that have driven commercial impact. You bring broad knowledge across a range of machine learning techniques, including experience building Generative AI and agentic AI applications with Large Language Models. You have advanced coding skills in Python ...

research. Hikaros Quant Lab (HQL) is building a quantitative research and technology organisation focused on solving difficult problems in financial markets through mathematics, machine learning and large-scale computing. We are looking for an Infrastructure Engineer to build and operate the computational foundations that enable our researchers … Strong problem-solving ability Desirable: Kubernetes/Docker AWS, Azure or GCP GPU/CUDA Distributed systems High-performance computing Python, C++ or Go Machine learning infrastructure Financial experience is not required . Why HQL? Build infrastructure from first principles Work directly with quantitative researchers Support large-scale ...

Education: We are renowned for our market-leading education and training programmes. You will attend classes covering a vast range of topics (Options Pricing, Machine Learning, Data Analysis Techniques, Game Theory, Trader Talks, In-house trading games... the list goes on!) from some of the most experienced employees … engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise ...

Labs is a seed-stage startup that started out of the UCL Machine Learning lab. We bootstrapped to 10 people, and now we're on the next leg of growth. AI can generate almost any media, but it still can't judge what wins human attention. AI-generated … every creative workflow will be agent-assisted or fully agentic within a few years. Our work is improving how models reason about creative decisions, learning from how real audiences respond to the content we make. The role You'll own our core platform: deployment, service communication, job orchestration ...

Expert level proficiency in Python and SQL. Deep, hands-on experience with statistical modelling, (quasi) experimentation, multi-arm bandits, and a wide range of machine learning techniques such as regression, classification and clustering. Product Acumen: Demonstrated ability to define, implement and operationalise crucial product and feature-level metrics … commerce business or travel technology organisation, and familiarity with the seasonality and long purchase cycles that come with them. Breadth in statistical modelling and machine learning, such as regression, classification, clustering and bandits, alongside your experimentation depth. Experience applying AI, Large Language Models, agentic AI or automation ...

partnering with a leading energy trading organisation to recruit a talented Machine Learning Quant/Data Scientist to join its Analytics team. You will develop forecasting models for power, gas and other energy markets, applying machine learning and statistics to predict prices and demand. ...

Head of Paid Media Insights, the analysts and the business teams, and you will represent paid media in platform conversations, including how we support machine learning and data science on top of this data. This is a hands-on technical leadership role, not a step away from building. … Dagster, cloud data warehousing, and a real feel for performance, cost and reliability at scale. Experience with paid media or attribution data, or with machine learning pipelines, is a bonus rather than a requirement. Not sure you meet every single requirement? That is okay. Your unique experience might ...

goals, and consistently embrace the Amazon Culture. You will be at the heart of latest trends like artificial intelligence (AI), machine learning (ML), serverless, helping your customers to leverage state-of-the-art technologies on AWS to innovate and become the next disrupters. Do you look around corners ...

experience in reinforcement learning or optimal control. 3 years of experience in software engineering. 3 years of experience in Machine Learning (ML). Preferred qualifications: Experience working with power grid systems. Experience with mathematical optimization. About the job At Google, research-focused Software Engineers are embedded throughout … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Solve sequential decision-making problems under uncertainty ...

that no longer has a strong case. Likely scope includes vision-language-action models, multimodal Transformers, robot foundation models, action representation, imitation and reinforcement learning, world models, cross-embodiment transfer, data-efficient adaptation, and robot-policy evaluation. Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based … language models, or running an unchanged public training recipe does not meet this requirement. Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world: robotics, autonomous vehicles, drones, industrial automation, manipulation, mobile robots, humanoids, wearable ...

integration testing, and producing high-quality analytical code that is traceable and repeatable Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML, and LLMs Experience with deployment tools and processes, such as Azure Data Factory (ADF), Azure ML and batch processing Experience using DevOps ...

leading technology company is seeking a Data Scientist to develop data pipelines and machine learning models. This role involves working collaboratively within product squads and encompasses comprehensive responsibilities in optimizing decision-support products. Candidates should have strong knowledge of machine learning techniques, be proficient in Python ...

Solvo.ai—a London-based company—seeks a skilled Machine Learning Engineer to advance pricing models for global shipping. You will design, build, and deploy … models at scale, collaborating with scientists, engineers, and industry experts to deliver real customer value. The role blends research and production, requiring a strong ML foundation, Bayesian methods, and ability to translate research into practical solutions. Hybrid work in London offered. #J-18808-Ljbffr ...

ended research initiatives. As a domain expert, you will provide initial insights and ongoing feedback supporting product development, communicating with the product, development, and machine learning teams as needed. Other responsibilities will include:* Investigating trends in generative AI security,* Researching and investigating attacker tradecraft,* Co-ordinating with relevant … development, product, and machine learning teams,* Provide detailed and actionable feedback on product performance.**What experience do I need:**We’re looking for someone with a strong foundation in security and a keen interest in emerging AI technologies. You should be comfortable navigating evolving technical landscapes, understanding ...

connecting PLM, MBSE, ERP, MES, engineering data and the wider enterprise architecture.* Define and lead AI-enabled engineering strategies, including generative AI, engineering copilots, machine learning and intelligent automation, integrating them with digital thread, digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible … scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering copilots, machine learning and intelligent automation. • Strong understanding of AI and data foundations, including data quality, knowledge architectures, platform integration, responsible AI governance, privacy, security ...

deployments, ensuring they meet our customers’ requirements and align with best practice. Deliver secure and compliant AI engagements: leveraging Agent 365, Azure OpenAI, Azure Machine Learning, and Microsoft Cognitive Services tailored to client business needs. Monitor evolving: data privacy and AI compliance regulations (e.g., GDPR, AI Act, HIPAA … ensuring our organisation is a forerunner in the AI race. Required Skills & Expertise: Deep experience implementing Microsoft Purview, M365 Copilot, Agent 365, Cognitive Service, Machine Learning, and similar. Strong understanding of data protection and governance across cloud and hybrid deployments. Strong understanding of regulations and frameworks (e.g. GDPR ...

term partnershipsGuide engagements from planning through delivery, ensuring outcomes align with established objectives and timelinesCollaborate with technical experts to design data modernization, AI and machine learning adoption strategiesPromote best practices for data governance, analytics and enterprise AI integration across engagementsManage risk, scope and client expectations while steering multidisciplinary … with C-level executives and communicate effectively across business and technical discussionsWorking knowledge of modern Data & AI solutions including cloud platforms, data engineering, governance, machine learning and generative AIExperience in engagement design, estimation and value framing for enterprise clientsDemonstrated leadership ability to coach and mentor cross-functional teamsExcellent ...

professional services addressing challenges in:* Financial Crime* Fraud Prevention and Detection* AML/KYC* Digital Trust* Identity and Authentication* Risk Management* AI and Machine Learning* Transaction Monitoring* Cyber/Digital Security* Develop compelling business cases and demonstrate measurable business value to prospective customers* Work closely with solution architects … institutions*** Direct experience in one or more of the following areas:* Financial Crime* Fraud* AML* KYC/KYB* Digital Trust* Identity* Risk* AI/Machine Learning* Cybersecurity* Transaction Monitoring* RegTech* Demonstrated success generating **new-logo revenue*** A proven history of personally originating and closing enterprise opportunities* Experience selling ...

data-focused organisation that develops advanced analytics and customer intelligence solutions for a broad range of businesses. Through the use of modern data technologies, machine learning, and market insight, they help clients make better decisions and unlock greater value from their data. Innovation and product development … Science, Analytics, or a related field Proficiency in Python and SQL Experience working with large-scale customer, transactional, behavioural, or marketing datasets Understanding of machine learning techniques and analytical product development Knowledge of data modelling and feature engineering principles Ability to communicate complex analytical concepts to non-technical ...

native advertising platform built for the next era of performance marketing. We operate at the intersection of machine learning, programmatic media, and full-funnel mobile growth, powering campaigns for some of the world’s most ambitious advertisers. Our platform is purpose-built to deliver outcomes at scale … able to engage confidently with clients from campaign managers to C‐level executives Strong collaborator across diverse, globally distributed teams Familiarity with data analytics, machine learning, and advertising technology is a plus Fluent in English; an additional European language is an advantage Why Join RZR in London? Step ...

level executives, translating complex product capabilities into clear business outcomes.* Strong foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML) principles, with the confidence to discuss strategic AI roadmaps and Generative AI applications with executive stakeholders.* Experience in managing and expanding customer relationships at various levels.* Exceptional ...

high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. … engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services ...