101 to 125 of 414 Deep Learning Jobs in England

growing Machine Learning and Artificial Intelligence Engineering group are currently looking for a new Machine Learning Engineer to help with the development of a number of different ML/AI projects for the Medical Devices and Scientific sectors. We are looking for someone with a few years experience … working in Machine Learning or Artificial Intelligence that has applied your work to real world environments and improved systems in the Medical Devices or Scientific fields. You will hold a degree from a leading university in Computer Science, Machine Learning, Artificial Intelligence or another subject that covered ...

Overview We are seeking a highly skilled AI Engineer to design, build, and deploy advanced AI and machine learning solutions. The role involves developing predictive models, implementing deep learning architectures, and integrating AI capabilities into enterprise systems. You’ll work closely with data scientists, engineers, and business … leaders to create intelligent systems that solve complex business problems. Job Description ✔️ Design and implement machine learning and AI algorithms for enterprise applications. ✔️ Build and train deep learning models using TensorFlow or PyTorch. ✔️ Process and analyze large-scale structured and unstructured datasets. ✔️ Apply natural language processing ...

translate research insights into execution- and latency-aware designs. This is a research-forward role. We are seeking a quantitative researcher with deep expertise in market microstructure and high- to medium-to-high-frequency trading to drive research on how electronic markets behave at fine time scales … regime-specific artifacts. Preferred Qualifications, Capabilities, and Skills Experience independently owning a strategy, managing a trading book, or leading a quantitative research workstream. Deep expertise in one or more areas: high-frequency market making, short-horizon alpha, execution research, multi-venue routing/optimization, or microstructure modeling. Experience across ...

translate research insights into execution- and latency-aware designs. This is a research-forward role. We are seeking a quantitative researcher with deep expertise in market microstructure and high- to medium-to-high-frequency trading to drive research on how electronic markets behave at fine time scales … regime-specific artifacts. Preferred Qualifications, Capabilities, and Skills Experience independently owning a strategy, managing a trading book, or leading a quantitative research workstream. Deep expertise in one or more areas: high-frequency market making, short-horizon alpha, execution research, multi-venue routing/optimization, or microstructure modeling. Experience across ...

regime-specific artifacts. Preferred Qualifications, Capabilities, and Skills Experience independently owning a strategy, managing a trading book, or leading a quantitative research workstream. Deep expertise in one or more areas: high-frequency market making, short-horizon alpha, execution research, multi-venue routing/optimization, or microstructure modeling. Experience across … FICC markets or multiple asset classes; outstanding equities specialists interested in transitioning to FICC are encouraged. Familiarity with machine learning, deep learning, or reinforcement learning applied to limit-order-book modeling, execution, or control problems. Research publications, open-source contributions, or substantial internal research artifacts demonstrating ...

team. Experience of applying knowledge of cloud computing, including architecting and deploying solutions, and selecting appropriate tools and design patterns. Exposure to advanced machine learning techniques (e.g. reinforcement learning, deep learning). Experience owning the day-to-day resource allocation of a large team of technical … clients and partners within the public sector for successful technical delivery and to build strong long-term relationships Knowledge of data science and machine learning concepts and principles. Expertise in Python and SQL, both for development and to review code. Strong working knowledge of database systems (e.g., SQL, NoSQL ...

delivering impact — and partnering with stakeholders to support data-informed decision-making. What you'll be doing: Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value. Translate business problems into modelling approaches, selecting appropriate methods … insights. Clearly communicate findings and recommendations to both technical and non-technical audiences. Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems. What we are looking for: You're curious, analytical ...

Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning, deep learning, natural language processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems in production environments. … Jira and Confluence.· Exceptional leadership and communication skills, with the ability to convey complex technical concepts to diverse audiences.· Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous.· Professional accounting qualification preferred, however not a requirement. Why Audit at KPMG Audit is the largest ...

Group COO and CSO functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly … detection, time-series modelling, and deep learning architectures. Experience with LLMs and generative AI in production environments is highly desirable. Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations. Excellent communication and customer engagement skills Innovators Mentality - An innovator and change agent ...

Group COO and CSO functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly … detection, time-series modelling, and deep learning architectures. Experience with LLMs and generative AI in production environments is highly desirable. Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations. Excellent communication and customer engagement skills Innovators Mentality - An innovator and change agent ...

Studios and deliver images and videos to millions of ASOS customers. This role focuses on designing reliable, responsible and high‐performing AI systems, using Deep learning embedding techniques for multimodal signal processing, and generative AI technologies such as large language models (LLMs). You’ll work closely with … Studios, Machine Learning Engineers and Product teams to shape the next generation of AI-powered automation for ASOS Studios. By applying computer vision to product imagery and external visual inspiration, you’ll uncover rich styling signals and combine them with customer insights to create smarter image generation, more engaging ...

informed drug development. We are seeking an experienced Data Science leader to advance data-driven drug discovery and development by integrating advanced analytics, machine learning, and mechanistic modelling approaches. In this role, you will partner with Pharmacokinetic Sciences (PKS) Modeling & Simulation (M&S), Translational Medicine, and multidisciplinary project teams … transform large-scale experimental datasets into actionable insights. You will develop and apply hybrid approaches that combine machine learning with mechanistic modelling (e.g., PK/PD, QSP) to support decision-making from discovery through clinical development. You will contribute to departmental strategy, drive innovation in AI-augmented modelling approaches ...

Application Development & Integration Full-stack software engineering expertise across Java, Python, .NET, JavaScript/TypeScript, Node.js, React, Angular, and modern web technologies. Deep experience in API development, Microservices, Event-Driven Architectures, Enterprise Integration, and Distributed Systems design. Cloud, Platform Engineering & Infrastructure Expertise in Azure, AWS, and GCP with strong … Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace ...

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation … pick up new tools and languages quickly - is an advantage. This Role In this role, you'll work alongside our Data Scientists, Machine Learning Engineers, and (with support) our customers to help define and solve engineering challenges. You’ll contribute to delivering high‐fidelity simulations by: Building models from ...

role, you will work on AI projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from … encourage you to apply for this exciting opportunity at Pigment. Experience building and shipping complex products on top of LLMsExperience with LLM or deep-learning–based tabular data understanding, including methods for interpreting complex spreadsheets, schema inference or table representation learning (e.g., TAPAS, TaBERT, TURL, and more ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. We're looking for a Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap! What you’ll do: Develop ML-products and AI Lenses that serve … keep Snap’s products at the cutting edge Evaluate open-source Gen AI models and APIs Knowledge, Skills & Abilities: A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … BUSINESS: As a Lead Data Scientist at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US).About the roleYou will help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such … governance, and compliance colleagues across countries. You will also connect with academic, technology, and industry partners. Together, you will explore new methods, share scientific learning, and support teams that use data to improve decision-making across the drug development value chain. What you will doYou will lead ...

product lines to deeply understand use case requirements, shaping objectives that align document understanding capabilities with diverse business needs including next-generation search and deep legal research. Advance the Field: Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research … with equivalent research/industry experience Demonstrable hands-on experience building and deploying document understanding systems, information extraction pipelines, or knowledge graph construction using deep learning, LLMs and NLP methods Proven ability to translate complex document understanding problems into innovative AI applications that balance accuracy and efficiency Professional ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating … classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days in office ...

Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed … team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting‐edge AI and Machine Learning (ML) technologies at the firm. In this role, you will have the opportunity to contribute to various AI/ML domains, including ...