226 to 250 of 431 Deep Learning Jobs in the UK

seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Research & Models Team The Models team builds the foundational models that power our cutting … understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated MLOps, Infra and Inference support at scale. We focus ...

policies and four very different kinds of driving: private car, van, taxi and delivery. The Telematics team uses digital signal processing and machine learning to turn that raw signal into a precise picture of how people actually drive. We use it to price insurance more fairly, to help drivers … Physics, Mathematics or a related quantitative field though we are equally happy to talk to people with equivalent industry research experienceDeep expertise in machine learning and deep learning, preferably with hands-on experience building and deploying models on high-frequency time-series sensor dataA strong grounding ...

related STEM discipline 2+ years' experience developing computer vision algorithms in an industrial or research environment Strong understanding of computer vision, image processing, machine learning, and deep learning techniques Experience taking computer vision solutions from concept through testing, validation, and deployment Strong programming skills in Python ...

Data Scientist, London/Oxford hybrid workingAre you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user … strive to maintain. Our team values trust, respect, collaboration, agility, and quality.About the RoleIn this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content ...

cutting-edge audio AI company developing next-generation technology to improve the quality, clarity and intelligence of digital sound. Their products apply advanced machine learning and signal processing to deliver high-fidelity voice isolation, audio enhancement and new listening experiences across consumer, enterprise and professional markets. They … looking for a Machine Learning Research Lead to guide strategy, research direction and hands-on development across multiple audio ML domains. You will lead a small, high-performing team of researchers and engineers, shaping the roadmap for new audio technologies used by thousands of people worldwide. Responsibilities: Refine ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific ...

related STEM subject 5+ years' experience developing computer vision algorithms in industry or research Strong understanding of computer vision, image processing, machine learning, and deep learning Experience taking algorithms from concept through testing, validation, and deployment Strong Python and C++ programming skills Experience with OpenCV, PyTorch, TensorFlow … challenges with real-world impact Flexible and hybrid working environment Competitive salary and benefits package Excellent opportunity for career growth within a rapidly expanding deep-tech organisation Please contact Chris Amison for more information. ...

intricate business challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior and mid-level … Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with, or demonstrable capability ...

team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank.As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilitiesBuild robust Data Science capabilities which can be scaled across multiple business use casesCollaborate with software engineering team to design ...

applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked ...

applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team ...

work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems. Perform data analysis and data collection processes that effectively support these services. … capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative field. Communication – Strong verbal and written ...

Manager/Associate Director YOU ARE As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full … solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data andMLOps/LLMOpspipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient ...

team values trust, respect, collaboration, agility, and quality.About the RoleIn this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation …/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience.Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems.Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic ...

trust, respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation … information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows ...

trust, respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation … information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows ...

Machine Learning & AI Materials Scientist, you will be a part of Dassault Systèmes Gen7 vision and actively contribute towards its implementation. Materials AI is a strategically important, rapidly growing, and evolving core technology that will underpin the future of all Dassault Systèmes brands materials-related products and services. Gen7 … openness, innovation, quality, and continuous improvement. Qualifications• PhD or Master in materials science, chemistry, mathematics, computer science or related fields. • Practical experience with deep learning and machine learning algorithms and the use of popular AI/ML frameworks. • Experience in coding (web, cloud, algorithms, industry processes...). ...

making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. … errors and provide solutions to problemsPresent results to collaborators and leadershipMinimum QualificationsBSc or MSc in Computer Science, or equivalent industry experience3+ years of machine learning experienceExperience working in research or experimental environments with evolving requirementsProficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)Experience with computational ...

client governance bodies, including constructively challenging non-compliant or high-risk designs. Communication & Delivery Excellent executive communication and presentation skills; able to flex between deep technical detail and C‐suite framing. Proven ability to author low‐level design (LLD) and high‐level design (HLD) documentation to a professional services … standard. Experience running technical design workshops with senior client stakeholders and multi‐vendor delivery teams. Certifications NVIDIA certifications (NCP‐AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred.Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred.Kubernetes: CKA or CKAD — preferred.TOGAF 9/… equivalent demonstrable experience.Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth.Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals.Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure, Platform & GovernancePractice ...

Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products … translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models ...

Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products … translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models ...

Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF … demonstrable experience. Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth. Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals. Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure ...

Practice at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large ...