51 to 75 of 204 Deep Learning Jobs in England

Machine Learning Scientist | AI for Energy | Hybrid We're working with an innovative AI company that's transforming the energy sector through cutting-edge machine learning and advanced modelling techniques. If you're passionate about solving complex real-world problems and enjoy working with large-scale data … love to hear from you. You'll be working with: Time series forecasting and analysis Digital twins Surrogate modelling Deep learning models Real-world energy datasets to optimise performance and decision-making We're looking for someone with: Strong experience in Machine Learning and Python Commercial experience ...

scale economics You will shape the future of advanced technology in AMZL. A typical day includes visiting Delivery Stations to identify opportunities, conducting technical deep-dives with providers, running simulations to model task feasibility, and presenting pilot business cases to leadership. You will define proof-of-concept requirements, design … previous intership, work experience, coding competitions, or publications and experience troubleshooting and debugging technical systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Amazon is an equal opportunities employer. We believe ...

Engineer, you'll work on a diverse range of advanced research programmes where no two projects are the same. You'll investigate emerging machine learning techniques, develop novel algorithms and build proof-of-concept systems that address complex technical challenges. Your responsibilities will include: Researching and evaluating state … machine learning techniques. Designing, implementing and training machine learning models for novel applications. Developing proof-of-concept systems and rapid prototypes. Designing experiments, analysing results and translating findings into practical engineering solutions. Applying scientific thinking to solve complex multidisciplinary problems. Collaborating with software engineers, mathematicians, physicists and systems ...

forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside … Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data ...

client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions—spanning classical machine learning, generative AI, and agentic systems—ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives … into a unified, enterprise‐ready system Build the practice's reusable reference architectures, frameworks, and assets, with a deliberate adopt‐over‐build stance Conduct deep‐dive architecture workshops and working sessions with client executives and engineering teams Produce and govern the authoritative architecture artifacts—blueprints, reference architectures, ADRs ...

Title: Deep Learning Researcher Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely ...

/ML Engineer – 12‐month Fixed‐Term Contract, West London. Hybrid work model: onsite 2 days per week. Responsibilities Design, train and optimise machine‐learning models focused on user personalisation, including recommendation engines, ranking algorithms, user segmentation and content analysis. Construct and maintain robust, scalable data pipelines for feature … analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Collaborate with multidisciplinary teams to align machine‐learning initiatives with business objectives and user needs. Evaluate emerging research in machine learning, deep learning and personalisation for potential integration within ...

/ML Practice Architect in a permanent position. In this role, you'll help design, develop, and deliver AI, Machine Learning, Generative AI, and Data Modernisation solutions on Google Cloud Platform, working closely with clients and delivery teams to translate business challenges into scalable, production-ready cloud solutions. …/ML solutions leveraging GCP services including Vertex AI, BigQuery ML, AutoML, Gemini, Dataflow, and Cloud Storage. Develop, train, deploy, and integrate machine learning models into scalable production environments using Python and modern ML frameworks. Support data engineering, migration, and modernisation initiatives across GCP data platforms including BigQuery ...

Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly … Develop research-grade prototypes and collaborate with engineers to translate them into scalable, production-ready solutions. Conduct forward-looking research on generative AI, multimodal learning, and representation learning. Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments. Drive ...

Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly … Develop research-grade prototypes and collaborate with engineers to translate them into scalable, production-ready solutions. Conduct forward-looking research on generative AI, multimodal learning, and representation learning. Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments. Drive ...

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/ ...

hands‐on role — you will spend the majority of your time in the architecture and engineering of real‐world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating … will work with cross‐functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real‐world problems, and build a foundation for growing into a lead ...

WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Machine Learning Engineer to join our Core AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security … performance. How you can make an impact Drive research projects in the areas of computer vision, machine learning and biometrics. Research new biometric systems and contribute to prototyping new products - by testing and integrating existing technologies or by designing a new solution. Develop and train deep learning ...

innovation, or emerging technology roles Strong software development background with hands-on experience across multiple technology domains Demonstrated expertise in machine learning, AI, or related computational fields Extensive experience with generative AI tools for coding, content creation, and productivity Ability to rapidly learn and apply new technologies, frameworks … trends Desirable Experience in betting, gaming, or entertainment industries Familiarity with API integration, particularly in financial or betting contexts Knowledge of neural networks and deep learning architectures Experience with automated content generation pipelines Hard Skills machine learning AI generative AI tools API integration neural networks deep ...

Expertise in designing, architecting, and implementing large-scale foundation models Significant hands‐on experience optimising and debugging deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building … will do: Lead the research, development, and production deployment of Hypercritical's foundation model. Define the long-term technical strategy for high-performance Machine Learning systems. Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth. Serve as the technical guardian ...

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. … pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code ...

wholly-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 … them) to keep Snap’s products at the cutting edgeEvaluate open-source Gen AI models and APIsKnowledge, Skills & Abilities:A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quicklyKnowledge of mathematics and deep learning foundationsExcellent verbal ...

Overview Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from-Motion (SfM), feed-forward models, and spatial foundation models. Collaborate with research scientists and engineers … real customers. Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. Responsibilities Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from ...

recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. What you’ll be doing Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable …/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential ...

Senior AI Engineer - Remote Join a growing AI team building production-grade machine learning and generative AI solutions that solve complex real-world challenges. This is an opportunity to combine AI research, engineering, and innovation in a highly autonomous role. The Company They are a technology business investing heavily … with a focus on developing advanced machine learning, generative AI, and agentic systems. The environment is research-led, collaborative, and focused on turning cutting-edge ideas into scalable products. The Role Design and deploy machine learning, deep learning, and LLM-based solutions Build RAG pipelines, agentic ...

leading electric vehicle manufacturer in Greater London seeks a Staff Software Engineer specializing in machine learning infrastructure. The ideal candidate will optimize deep learning performance on NVIDIA GPU systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience … have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...

type: Permanent Key Accountabilities AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment. LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines … GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation. About You Qualifications: Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Track record: Proven track record of delivering AI solutions from research to production in real-world ...

digital asset market and are taking a leadership position in building an innovative and compliant market. The Role You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series … book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored to streaming tick data. Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction. Collaborate with quant researchers and developers to integrate models into live trading environments. Optimise ...

modes are constant challenges. Background in high-volume, complex real-world data industries: satellite and geospatial, weather forecasting, industrial IoT, manufacturing, is a bonus. Deep learning familiarity: A strong practical understanding of the implications of working with data derived from deep learning models; specifically the nuances ...

Machine Learning Engineer - Multiple Levels Available London (Hybrid) - Python, SQL, TensorFlow, PyTorch - Azure, AWS & GCP - Up to £75,000 Our client is investing heavily in Artificial Intelligence and Machine Learning capabilities and is seeking talented AI professionals to join a growing technology team in London. This … opportunity to work on cutting-edge AI solutions, develop enterprise-scale machine learning applications and collaborate with highly skilled technical professionals delivering innovative outcomes for a range of organisations. Whether you're looking to deepen your technical expertise or take on greater ownership and leadership responsibilities, this role offers ...