601 to 625 of 2,710 Machine Learning Jobs in London

continuous delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile) Working knowledge of the Software Development Life Cycle Hands-on experience using enterprise-authorized AI-assisted software development tools within … skills Familiarity with Python for backend services or tooling Exposure to cloud technologies and infrastructure-as-code practices Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

engineering bar across your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What … production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. ...

Start up and are already excelling in their field. They are looking for a Product Manager who will work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration. The main responsibilities for the Product Manager are to define end-to-end AI product requirements, from technical … building or managing AI-powered products, including LLM-based systems. Proven experience leading complex technical products end-to-end, partnering closely with Engineering and ML teams to deliver high-impact outcomes. Deep understanding of AI evaluation, prompt and pipeline optimisation, model behaviour in production, and the practical challenges of reliability ...

training, upskilling and knowledge sharing to build a data-driven culture.**Lead & Inspire a High-Performing Team*** Lead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts.* Build a strong, collaborative and innovative team culture focused on delivery and impact.**What We’re Looking For****Experience & Expertise … or data platform teams* Track record of delivering data and AI initiatives with clear business impact* Strong understanding of data platforms, analytics, and ML/AI technologies* Experience operating in complex, matrixed organisations**Business & Leadership Skills*** Strong commercial acumen and ability to link AI initiatives to business value* Excellent ...

planning systemIntegrating our high and low frequency systems for more optimal tradingRe-architecting systems to provide a seamless path from research to production for machine learning modelsEnabling large-scale distributed training of machine learning modelsContributing back to open-source projectsWho are we looking for? The ideal ...

rendering, annotation, and verification. You'll solve problems of large-scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models, and squeezing performance out of web browsers. You'll work with the biggest names in robotics and autonomous vehicles, and join a small … Tech stack We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business … technology risk FUNCTIONALITY DESCRIPTION Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization Performing detailed analysis on risk trends and drivers Updating and maintaining risk models along with business growth and risk environment changes ...

customers to build better, faster, and cheaper. As a member of the delivery team, you’ll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We’re looking for someone who can grasp advanced engineering concepts … applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers ...

Opportunities 👉AI Engineer You’ll focus primarily on designing and building AI-powered applications and systems. This could include generative AI, agentic workflows, RAG, machine learning solutions and intelligent automation. You’ll work across the full engineering lifecycle, from experimentation and prototyping through to testing, deployment and ongoing … should bring: Commercial experience in software, data, machine learning or AI engineering Strong programming skills, ideally using Python Exposure to building AI, ML or data-driven applications An understanding of good software engineering principles Curiosity about generative AI and emerging technologies The ability to explain technical ideas clearly ...

setup, analysis, reporting, and decision support across small molecule discovery programs. Use cheminformatics workflows for compound analysis, library design, and property prediction. Collaborate with machine learning scientists, software engineers, and platform teams. Translate scientific requirements into practical, user-facing computational capabilities. Communicate modelling results clearly to multidisciplinary project … enhanced sampling, MM-GBSA, or related physics- based modelling approaches. Experience with high-performance or cloud computing, containers, and reproducible workflow systems. Experience applying machine learning or molecular AI to complement physics-based modelling and compound design. Experience working in start-up, scale-up, incubator, or platform-building ...

insights that drive audience growth, commercialperformanceand better decision-making. Working across nine European markets,we'rebuilding a modern data capability that combines analytics,experimentationand machine learning to createreal businessimpact. The Difference You Will Make As a Senior Data Scientist,you'llplay a key role in shaping how Bauer … Data Scientist or Senior Data Scientist role, with a proventrack recordof delivering measurable business outcomes Advanced Python and SQL skills Expertise using modern machine learning and statistical modelling frameworks such as scikit-learn, XGBoost and similar tools Experience building, deploying and maintaining predictive models in production environments Strong ...

derivatives valuation and risk methodologies, including volatility dynamics, stochastic rates, jumps, correlation, curve construction, proxying, aggregation, and risk decomposition. Assess statistical, data science, and machine learning approaches where relevant, including calibration quality, feature engineering, validation metrics, explainability, and monitoring. Review implementation and data lineage, including upstream dependencies, market … Commodities, or structured products. Experience with Monte Carlo simulation, finite difference or partial differential equation methods, curve construction, volatility surface modelling, regression, clustering, optimisation, machine learning, or model performance monitoring. Experience building reproducible quantitative analysis in Python, including data cleaning, visualization, statistical testing, benchmarking, and automation. Experience using ...

single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That … modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Most importantly ...

that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role We are seeking an exceptional ML Performance Engineer to optimise large-scale workloads across our GPU and CPU infrastructure. This is a hands-on, impactful role. You will design and implement … develop reference solutions. Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation. Key responsibilities Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions. Profiling, benchmarking ...

that work across problems, modalities and productsDefine new ways to measure and evaluate memory performanceHelp create and deliver production-ready, scalable and high-quality learning models and associated algorithmsCritically assess the effectiveness of such models and make recommendations for the ongoing roadmapWhat we're looking forPhD in Computer Science … your experience may come from language agents and long-context methods, reinforcement learning under partial observability, world models, or sequence modellingPython and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)Experience with working collaboratively with other developers, following a flexible and agile approachEPIC JOB + EPIC BENEFITS = EPIC ...

reliable systems that power smarter decisions? You could be part of our team, joining our Pricing and Underwriting domain to bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior … tooling and frameworks that enable teams to: ingest data store data transform data serve their own data products confidently Partner closely with: data scientists machine learning engineers Improve and evolve the overall data infrastructure Experiment with emerging technologies Explore open-source tools Engage with the broader tech community ...

central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople on the trading floor to bring value … Trading & Market Making desk, building market making and quoting strategies across FICC products. Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real-time trading and risk management decisions. Implement frameworks ...

About this position About SynMax, Inc. SynMax is a geospatial intelligence company. We fuse multi-sensor satellite imagery with signals, vessel-tracking and proprietary machine learning models, and apply trained analysts to produce finished intelligence on activity in low-transparency environments across the maritime and energy domains. … equivalent cloud data platforms. Experience with geospatial tooling and libraries (e.g., QGIS, GDAL, GeoPandas). Experience with PyTorch, scikit-learn, or similar ML frameworks. Background in maritime, defense, intelligence, or energy domains. #J-18808-Ljbffr ...

Senior Recruitment Consultant – Data, AI & Machine Learning (Contract/Interim) 📍 London (Shoreditch HQ) | 🌍 Hybrid working 💸 £35,000 – £45,000 basic + uncapped commission Looking to dominate the fastest-moving market in tech? At Arrows Group, we know that in the world of AI and Machine Learning … Benelux/Dutch markets, helping our clients scale at pace. What you'll be doing: Lead a high-velocity Data/AI/ML contract desk, managing the full lifecycle from lead gen to deployment. Cultivate a deep network of immediately available freelance specialists (Data Scientists, ML Engineers, AI Researchers ...

time. About the roleAs a Lead Machine Learning Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing technical trade-offs and guiding team priorities. You will lead the delivery … rationale to senior stakeholders to ensure we deliver high-quality, high-value outputs. What you'll be doing: Designing, implementing, and maintaining reliable, scalable ML systems while justifying key architectural decisions for production environments. Driving the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/ ...

Markets is a leading algorithmic trading firm which uses state‐of‐the‐art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities, and crypto. It uses those forecasts to trade on exchanges and alternative trading venues … where everyone is valued. We strive for excellence in everything we do. The Role XTX is seeking an experienced engineer to support our ML Performance and AI Acceleration function. You will be working in a small and highly technical team at extremely high‐ and low‐levels of abstraction to dramatically ...

time-to-market against new threat vectors. The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that … consumers. You understand the intricate architecture required for high-availability, low-latency workflows. AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive ...

architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops … Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/Machine Learning/advanced analytics Architecture repositories and modelling tools You should be comfortable operating at both strategic and technical levels - able to establish ...

Artificial Intelligence and Machine Learning workloads. As AWS continues to build and scale, our data centers increasingly host high-density AI/ML and accelerated computing alongside our established services, and you will lead the teams that keep this critical infrastructure running safely, reliably, and at pace. … curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career GrowthWe ...

training, upskilling and knowledge sharing to build a data-driven culture.**Lead & Inspire a High-Performing Team*** Lead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts.* Build a strong, collaborative and innovative team culture focused on delivery and impact.**What We’re Looking For****Experience & Expertise … or data platform teams* Track record of delivering data and AI initiatives with clear business impact* Strong understanding of data platforms, analytics, and ML/AI technologies* Experience operating in complex, matrixed organisations**Business & Leadership Skills*** Strong commercial acumen and ability to link AI initiatives to business value* Excellent ...