3,451 to 3,475 of 5,191 Machine Learning Jobs in the UK

Datatech Analytics in London is seeking an AI Engineer to design, build, and deploy innovative AI solutions at scale within a newly established AI function. The role focuses on Generative AI, LLMs, and data capabilities ...

software strategy for x86 APUs, spanning ROCm and Ryzen AI Software. THE PERSON: AMD’s AECG group is looking for an Embedded AI/ML Software Technical Marketing Engineer who can drive end‐to‐end software enablement for AMD embedded AI platforms. This role centers on planning, cross‐functional alignment … understanding of embedded APU AI software stacks, including ROCm and Ryzen AI Software, across Linux and Windows environments Hands‐on experience implementing AI/ML and high‐performance compute workloads on heterogeneous compute platforms Experience with embedded systems, AI software integration, and heterogeneous compute platforms is highly desirable Confidence ...

today, with a strong emphasis on defining the future product and platform experience, patterns, and contribution pathways that will enable federated scale over time. ML Engineers – Responsibilities & Skills Responsibilities Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents. Implement Skills that orchestrate tools ...

Corporate Engineering AI (CE AI) TeamThe Corporate Engineering AI team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem. The team’s mission is to scale safe, high‐quality ...

qualifications:PhD in Machine Learning or equivalent research/industry experience.Experience in scripting languages and pipelining tools.Experience in programming.Published work in a ML conference on the subject of robustness or image or video generation or classification.Quantitative experience in maths and statistics.Preferred qualifications:Experience in applying machine learning … robust and reliable machine learning with a group of research scientists and engineers on a mission-driven team. Together, we will apply ML and other computational techniques to a wide range of challenging problems. A public example of recent work is SynthID, and we are actively pursuing other ...

JPMorgan Chase's Chief Data & Analytics Office (CDAO) invites applications for an Applied AI ML Director – NLP/LLM and Graphs. This role will apply sophisticated machine learning methods to NLP, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with diverse ...

learning solutions that combine statistical modelling, deep learning and multimodal AI to solve challenging forecasting problems. You'll work closely with ML Engineers, data engineers, analysts, product managers and business stakeholders to translate research into production systems and create measurable business impact.ResponsibilitiesLead and collaborate on the design … machine learning models and forecasting pipelines, following software engineering best practices to support reliable deployment and long-term maintainability.Work closely with ML Engineers to productionise models, ensuring scientific approaches can operate reliably and efficiently at scale.Provide technical leadership and guidance on complex modelling projects, helping shape scientific direction ...

learning problems while building reusable forecasting capabilities that can be applied across multiple domains.As an Applied Scientist, you'll work alongside data engineers, ML engineers, analysts, product managers, and business stakeholders to design, develop and deploy machine learning models at scale. You'll have the opportunity … optimisation.Design and analyse offline and online evaluations to measure model performance and business impact.Collaborate closely with engineers to productionise models and build reliable, scalable ML systems.Explore and evaluate new modelling approaches from industry and academia, testing and prototyping promising ideas.Contribute to the team's scientific direction through technical discussions, code ...

fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams. Join our Recommendations team within Intelligent Talent Acquisition (ITA) where you’ll build … ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems. Collaborate with engineers, scientists, and product managers to define requirements, create solutions, and deliver products that improve the hiring experience. Participate in the full ...

Machine Learning or equivalent research/industry experience. Experience in scripting languages and pipelining tools. Experience in programming. Published work in a ML conference on the subject of robustness or image or video generation or classification. Quantitative experience in maths and statistics. Preferred qualifications: Experience in applying machine … robust and reliable machine learning with a group of research scientists and engineers on a mission-driven team. Together, we will apply ML and other computational techniques to a wide range of challenging problems. A public example of recent work is SynthID , and we are actively pursuing other ...

machine learning that drives decisions across a 4M+ member platform Build commercial models spanning retention, recommendations and customer growth Work directly with senior stakeholders in a growing Data Science team Up to £90,000 + 7% Bonus Hybrid | London (2 days/week) - Leicester office visit once … forecasting and marketing mix models Detect fraud, broken journeys and offer issues Design and evaluate A/B tests Translate business problems into scalable ML solutions Tech stack: Python, SQL, Databricks, dbt, MLflow Requirements 5+ years' commercial Data Science experience Strong Python and SQL skills Experience with customer, marketing, ecommerce ...

team but also working together with other teams, including teams making low-level libraries that the frameworks use and teams that are developing ML applications on top of the frameworks. The Team The frameworks team is responsible for ensuring Graphcore hardware enjoys seamless support in user-facing machine learning … Profile Essential Experience of developing performant C++ applications in a commercial setting. Experience of Python development. Desirable Experience using and/or development of ML Frameworks such as PyTorch. Demonstrable knowledge of AI/ML. Experience in a computationally intensive engineering field. Understanding of and/or experience with compiler ...

background in machine learning systems and data engineering, with a deep understanding of open-source technologies used in these domainsExperience with modern ML frameworks and tooling, including PyTorch, JAX, Apache Arrow, Parquet, Polars, Ray and related training and inference toolingFamiliarity with GPU/accelerator workflows, CUDA-based software … packaging and the practical realities of running ML workloads at scale is highly valuedProven track record in a technology-driven role, preferably within a machine learning, data science or ML infrastructure teamExpertise in using and contributing to open-source software, particularly projects that underpin machine learning ...

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 ...

right time — across subscriptions, channels, and transactional video in every market and on every device. Ourscience team replaces static business rules with ML-driven decisions that personalise the entire commerce journey, from discovery through to checkout and beyond. We operate at scale across hundreds of millions of customers … lines balancing competing objectives across offerings, and positively impacting hundreds of millions of customers worldwide. The problems here are technically deep — combining large-scale ML, causal reasoning, and behavioural modelling in a domain where every decision carries real revenue and customer experience consequences. Your research will ship to production ...

full model lifecycle, from data preparation through to production and you will translate research decisions into systems that set the direction for how machine learning operates across Klarna. You will be part of a small, high ownership team where what you build has genuine impact on the products … working in a small, high ownership team on open ended technical problems Awesome to have Experience with Triton kernels or GPU-level optimisation Broader ML background spanning areas beyond deep learning Experience with large-scale transactional or financial data Background in ML infrastructure or MLOps Please include ...

implement AI-driven solutions to address complex business challenges.Collaborate with cross-functional teams to integrate AI technologies into existing systems.Research and apply advanced machine learning algorithms and techniques to improve business processes.Analyse large datasets to derive actionable insights and drive data-driven decision-making.Develop and maintain scalable … trends and advancements in AI and machine learning.The Successful Applicant Must haves:Software Engineering experience - ideally C# or PythonAzure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc)Then a mixture of the following on top:GenAILLM APIsExperience designing, testing and deploying AI/ML solutionsChat Bots/ ...

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 ...

Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performanceWhat You’ll BringMust-haves:3+ years of experience developing and deploying ML systems in real-world or production settingsPhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related fieldDeep … simulation systemsFamiliarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)Experience with sim-to-real transfer or data-efficient learningContributions to open-source ML tools or research infrastructureWhat we offer you Attractive compensation with salary and equity Immersion in a team of world-class researchers, engineers and entrepreneurs A unique ...

Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of DeepL's document translation multimodal and vision models. This is a high-impact, hands-on role for a researcher who can own a major research … augmentations, and/or reasoning about data mixtures and ablations. A hands‐on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real‐world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow ...

services, serving nearly half of America’s households through innovative banking, credit, and investment solutions. The Personalization & Customer Insights Team leads the development of machine learning-powered personalization and next-best-action capabilities across mobile, web, contact center, branch, and marketing … channels. What Will You Do? As a Personalization Product Manager – Vice President at JPMorgan Chase, you will develop and execute the product strategy for ML-powered personalization and next-best-action solutions. You will partner with data scientists and engineers to translate research into roadmaps, run experiments to validate impact ...

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 ...

Equities team of a leading global proprietary trading firm to find a Lead Alpha Researcher to help scale their alpha generation, predictive modelling and machine learning capabilities globally.This is a senior, hands-on research and leadership role. You'll lead a key part of the European alpha research … horizon trading strategies, predictive models and alpha signalsA demonstrated track record of generating profitable, orthogonal signals in productionExperience managing, mentoring or leading researchersStrong practical ML experience, with a clear understanding of overfitting and robust validationStrong Python skillsIf you're an experienced alpha researcher looking to step into a leadership role ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search … large language models, agentic workflows (e.g., tool use, decomposition, multi-agent coordination), or inference-time reasoning architectures. Programming experience across common scripting languages and ML pipelining tools. Experience in probabilistic modeling, uncertainty quantification, calibration, or reinforcement learning. Preferred Qualifications Experience with prediction markets, quantitative research, temporal data modeling, or real ...