51 to 75 of 354 Deep Learning Jobs in the UK

Pipelines, Production Deployment Role Opportunity This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy …/B testing and experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment ...

grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Senior Machine Learning Scientist - Search Marketing & Tech We’re looking for a Senior Machine Learning Scientist to provide technical leadership within our Search Marketing & Tech organization … outline objectives, constraints and trade-offs for complex ML systems Model Development & Production Design and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimization algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation ...

dedicated to supporting the advancement science and technology in an innovative environment, we encourage you to apply! Role Overview We are seeking a Machine Learning Engineer to advance data-processing and model-building and deployment capabilities at Bind. This role includes developing new machine-learning models for highly … these models internally and externally, contributing to open-source software, and large-scale data analysis, curation, and pipeline building. Key Responsibilities Develop innovative machine learning approaches to elucidate and quantify the interactions between small molecules and intrinsically disordered proteins Integrate molecular simulations and deep learning approaches using ...

House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012 and now operating in 90+ … House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global ...

House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012 and now operating in 90+ … House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global ...

Technical Account Management (Country level) Location : London - hybrid We Are : RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across … House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions. … requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine learning lifecycle. The successful candidate will be responsible for building, training and deploying machine learning models for end users, while also investigating, preparing and transforming ...

should be prioritised for acquisition.To address this challenge we will advance the state-of-the-art across multiple component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics.The successful candidate will need to be eligible … researchers and external government partners to produce innovative and practical solutions to pressing problems in defence and security.• Have experience of AI/machine learning/deep learning and modern computing tools which implement such methodology.We can offer you the chance to work in a vibrant organisation ...

integrate into Anaplan Applications, translating raw customer data into automated, high-value business insights. Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines … successfully building and deploying systems from prototype to production in a fast-paced environment. Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. Experience developing production-grade Python code: High proficiency in Python, Pandas, and modern software practices (testing ...

us." – Julie Sweet, Accenture CEO. YOU ARE As an 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 and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical ...

design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations … agentic coding workflows. Advisory & Strategy: Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI. Continuous Learning: Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI. ...

agentic coding workflows. Advisory & Strategy: Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI. Continuous Learning: Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI. … serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare Insurance ...

/ML Computational Scientist As an 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 and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable ...

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 and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into ...

skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing … advancing the next generation of AI models on cutting‐edge hardware, we’d love to hear from you! Responsibilities and Duties Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software ...

skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing … advancing the next generation of AI models on cutting‐edge hardware, we’d love to hear from you! Responsibilities and Duties Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software ...

skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing … advancing the next generation of AI models on cutting‐edge hardware, we’d love to hear from you! Responsibilities and Duties Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software ...

Senior Learning Consultant - AI & ML Engineering (Remote working) We're working with a leading technical training & enablement organisation looking to hire Senior Learning Consultants across AI & ML Engineering . They operate at the forefront of AI, ML & Data - training AI/ML Engineers, Data Scientists & technical leaders within … role will involve a mix of: Delivering advanced technical AI & ML training to Engineers, Data Scientists & other technical professionals Designing and developing curriculum & learning solutions Working with enterprise clients to understand their technical learning needs Developing your own technical knowledge across emerging AI/ML technologies What ...

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 ...

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 ...

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 ...

Title Senior AI Engineer - Machine Learning (Computer Vision) Location North London - hybrid Salary £650 per day outside IR35 Length 6 months About the Business Our client is a leading digital commerce organisation undergoing a significant technology transformation. This is an exciting opportunity to join a business at the forefront … adoption, helping to build scalable solutions that enhance customer experiences, improve operational efficiency, and drive future growth. The Senior AI Engineer - Machine Learning (Computer Vision) Opportunity Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative AI technologies. Build ...

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas into real … benefits. A salary of £60,000 is available for a recent PhD graduate, with higher salaries for candidates with relevant experience. Requirements for Machine Learning Researcher: PhD in Machine Learning or a related discipline A strong academic record Experience using PyTorch LLM-focused experience through research, academic projects ...

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 ...

Memories: we take a user's entire photo library and turn it into albums worth printing. Almost all of that is powered by machine learning we build ourselves: computer vision models that run on device across millions of phones, curation pipelines that work out what an album … questions and read the existing code first, so that constraints surface on day one rather than in review Design, train and deploy deep learning models that reach customers every day, on device and on server Keep your work visible: short written updates, tickets that move, and interesting intermediate ...