1,651 to 1,675 of 2,750 Machine Learning Jobs in London

methodologies, focusing on interpretability, steering, and behavioural studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality academic … Translating complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs).A practical understanding of white-box and black-box interpretability techniques, such as steering vectors ...

Production ownership mindset - you\'ve been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you\'ve worked … alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. ...

focus on one or more of the following areas: Vocal Synthesis - Research in vocal and speech synthesis, along with related areas such as ML-based audio processing and signal processing. Post-Training - Research in post-training techniques for music generation, including preference alignment methods (such as DPO, RLHF … reward model design and training, and reinforcement learning to improve output quality, controllability, and human preference adherence. Editing - Research in iterative music generation and audio editing, including capabilities such as stem replacement, instrumentation change, mood changes (while preserving content), tempo changes, and structure changes. You will also: Run large ...

methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality academic … Translating complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs). A practical understanding of white-box and black-box interpretability techniques, such as steering vectors ...

physical stores. In Amazon Stores, we ship some of the widest arrays of technology found at any company. From Amazon.com to world class machine learning pipelines, from leading-edge digital healthcare to no-checkout retail, we push the boundaries of technology in every direction using the globe … healthcare, operations, and physical stores. Inclusive Team CultureIn Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate ...

ClearScore is seeking a proactive Data Scientist to join the Data & Analytics team. You will drive data science and machine learning initiatives across multiple markets, enhancing the user experience through improved dynamic content targeting and prioritisation. You will interpret model outputs for actionable business insights and translate them … into production-ready solutions. The role emphasizes collaboration across teams, production-grade workflows, and ongoing model monitoring, with learning #J-18808-Ljbffr ...

systematic approaches to solve business problems;- Experience operating in an analytical role involving within an e-commerce or similar environment;Preferred Qualifications:- Experienced in machine learning & modeling;- Self-driven, ability to learn new information quickly and adapt into ways of working with global staff in a diverse … cross-functional environment;- Have a strong learning ability and curiosity; familiar with starting a new business. Req ID: A153943B ...

seeking a Staff Machine Learning - Ops to own and enforce release gates across the model training lifecycle. You will lead the ML delivery pipeline improvements, review release content for quality and safety, and partner with platform, CI/CD and evaluation teams to optimize end-to-end model ...

established, dynamic team of ~25 Medicinal Chemists in London, who are fundamentally redefining how drugs are designed. By partnering deeply with our AI/ML colleagues, we are doing more than just leveraging the Isomorphic Labs Drug Design Engine - we are actively shaping it. We use our domain expertise … will oversee and mentor a team of talented Medicinal Chemists, fostering their scientific growth and career development. Working alongside world-leading AI/ML Scientists, you will play a critical role in driving project success, enhancing our AI platform through expert feedback, and developing a high-performing Chemistry team. Critical ...

higher probability of succeeding when they come through us -- thus ensuring higher revenues to all of our merchants. We do this by combining ML/RL and manual knowledge to make routing algorithms that modify a payment’s parameters in real-time. This makes for an exciting technical challenge … have to combine high performance (<100ms), reliability (99.99%), and live machine learning, which requires us to be ahead of the market in terms of technology. How you’ll make an impact Drive and support our software and infrastructure engineers working on proprietary algorithms Uphold high standards ...

Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues … evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing well over ...

technology-agnostic at Encord and are not looking for experience across all of these. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture: the team … works from our London office 4+ days/week 25 days annual leave + UK public holidays Annual learning & development budget Travel for customer visits, events, and conferences across the UK and Europe Company lunches twice a week Monthly socials & bi-annual team offsites Find more English Speaking Jobs ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront— from fighting financial crime to building smarter financial tools—and you may have the opportunity to join … collective that gives you direct exposure to this exciting space. Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible ...

Data Science team. You will develop machine learning models for Marketing and Consumer Insights, and collaborate with product owners, data engineers, and ML engineers to deliver impactful, data-driven solutions. You will also help prepare data for training, define evaluation metrics, and contribute to responsible AI governance across ...

Blankstate, a London-based AI infrastructure company, seeks a Lead Machine Learning Engineer to bridge deep research with our production ecosystem. You will own the seam between research findings and engineering implementation, translating experiments into scalable systems while mentoring others. The role collaborates directly with the Chief Data ...

Faculty is seeking a Principal Machine … Learning Engineer to act as a technical authority, shape software architectures, and drive innovation across high‐impact projects. You will mentor teams, align ML/DS initiatives with global client needs, and lead complex cross‐project engineering efforts in a defence context. You will solve high‐level challenges, define ...

JPMorgan Chase is seeking an NLP/LLM Scientist to lead applied AI initiatives within the Machine Learning Center of Excellence. The role focuses on deploying advanced NLP methods, building large‐scale models, and driving production ready solutions through collaboration with business and technology teams. The candidate … should have a PhD or substantial MS‐level research experience, hands‐on proficiency with TensorFlow/PyTorch, and a proven record of delivering impactful ML research and production #J-18808-Ljbffr ...

small London based firm who believe that by taking the lead in providing innovative solutions based on emerging technologies such as Blockchain, IOT and Machine Learning we can bring about significant changes in the existing cost structure of the entire commodity supply chain and financial management ecosystem. Their … blockchain based commodity, inventory, and trade financing SaaS. We are a flat, diverse and open organization offering a challenging but fun loving culture, learning programs to develop deep expertise in the commodity industry and overall the opportunity to influence the direction of the project and create a software system ...

solutions across forecasting, variance analysis, close coordination, and workforce planning. Partner with Data Engineering to build a trusted data foundation before applying AI or machine learning on top of financial data, and maintain an AI use-case registry that governs the full lifecycle of automations from discovery … high-performing team of Systems Analysts, Finance Systems Product Managers, and Solution Engineers, building clear career paths and a culture of psychological safety, continuous learning, and constructive feedback. Translate complex, multi-team finance transformation goals into phased delivery plans with clear milestones, owners, and success criteria, while managing capital ...

seeks a Forward Deployed Engineer to work with customers on agentic AI projects in the wealth management sector. You will design, train, and deploy ML systems directly with key business stakeholders. This role demands strong Python skills, hands-on machine learning experience, and the ability to communicate effectively ...

data analytics work across the practice. Embed advanced analytics techniques into standard audit methodology while building firm-wide technical capability through structured learning programmes. As the successful candidate you will: Hold a full ACA or ACCA qualification with a minimum of 2-3 years' post-qualification experience in external … expert-level proficiency in Power BI (or equivalent visualisation tools) along with practical experience using low-code development platforms. Possess hands-on experience applying machine learning, AI, and specialised audit data analytics software to complex audit processes. Have a proven track record in persuading internal stakeholders and translating ...

data analytics work across the practice. Embed advanced analytics techniques into standard audit methodology while building firm-wide technical capability through structured learning programmes. As the successful candidate you will: Hold a full ACA or ACCA qualification with a minimum of 2-3 years' post-qualification experience in external … expert-level proficiency in Power BI (or equivalent visualisation tools) along with practical experience using low-code development platforms. Possess hands-on experience applying machine learning, AI, and specialised audit data analytics software to complex audit processes. Have a proven track record in persuading internal stakeholders and translating ...

Expedia Group is a global travel company that connects travelers with technology and trusted partners. The Machine Learning Scientist II role sits on the Lodging Search Ranking AI team within the Expedia Product & Technology division. You will build and optimize ranking models and AI‐driven features for lodging ...

part of multidisciplinary teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Requirements Proven experience in applying data science … conceptualise data architecture and design around requirements of multiple stakeholders. Experience in backend or frontend development frameworks . Ability to apply statistical analysis, machine learning, AI, and data visualisation techniques to solve real-world problems and generate actionable insights. Experience creating and maintaining digital infrastructure, including infrastructure ...