201 to 225 of 509 Deep Learning Jobs

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 … ROLE & RESPONSIBILITIES IN THE BUSINESS: As a Senior AI Engineer at Kainos, you will 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 ...

iconic games, including titles from EA SPORTS and Battlefield. We are looking for a Software Engineer with expertise in developing and integrating runtime machine learning solutions to join our team. You will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers … bring ML models into the hands of our players by deploying them directly within EA games. Responsibilities: Evaluate, adapt, extend, and improve existing machine learning runtime technologies, while designing and implementing new solutions from the ground up when needed. Partner with ML experts across EA to assess, apply ...

efficiently. Within GSET, the Algo R&D team is responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact … stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post‐trade analytics. Culture carriers — You contribute to an inclusive, high‐performance team culture. You are willing to mentor others, share knowledge, and uphold ...

subject matter experts in biology and chemistry domains to validate the output. This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python. ResponsibilitiesData collection, data analysis, model development, defining quality metrics, quality assessment of models … projectsMentoring junior data scientists and fostering a knowledge-sharing culture within the team. Staying up-to-date with the latest advancements in AI, machine learning, and NLP technologies. RequirementsMaster's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.5+ years of relevant applied experience ...

efficiently. Within GSET, the Algo R&D team is responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact … stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post-trade analytics. Culture carriers — You contribute to an inclusive, high-performance team culture. You are willing to mentor others, share knowledge, and uphold ...

looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you’ll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high … away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We’ll rely on your ...

quantitative finance, by bringing scientific clarity to financial complexity.From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams … with real-world data in an academic environment.Who are we looking for The ideal candidate will have:Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record ...

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 … Engineer Manager at Kainos, you’ll be responsible for successful delivery of 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 involve technical ...

them accurate and reliable. Selecting the right approach for each problem, with large language models and agentic AI to the fore, and drawing on deep learning, machine learning and statistical methods where they are the better fit. Owning the evaluation and accuracy methodology for the team … including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model behavior. A sound grounding in machine learning, including model validation and experimental design, applied where it is the right tool for the problem. Demonstrable experience designing evaluation and validation frameworks ...

decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration. The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate … decisions. What you'll do Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics. Build scalable machine learning and deep learning models using image, video, and multimodal sensor data. Lead the complete data science lifecycle, including data collection, labeling, feature ...

with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds BankingGroup,dataisn’tjust something we store in the cloud.It’sthe … decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, makingpredictionsand solving complex problems with machine learning techniques. Always with an ethical andaccuratelens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through ...

with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds BankingGroup,dataisn’tjust something we store in the cloud.It’sthe … decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, makingpredictionsand solving complex problems with machine learning techniques. Always with an ethical andaccuratelens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through ...

with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate … Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi‐modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment ...

explain what you do to your family again! In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such … Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions ...

explain what you do to your family again! In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such … Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions ...

have worked in robotics or logistics before. What matters is that you are strong on fundamentals - 3D geometry, signal processing, computer vision, or machine learning - and motivated by the challenge of making perception systems work reliably in messy, real-world environments. Offices based in Wallingford, Oxford but open … Perception pipeline development: develop and improve systems for point cloud processing, object detection, and scene understanding in warehouse environments, working across both classical and learning-based approaches. Sensor data analysis: work directly with 3D LiDAR scans and camera streams to debug, evaluate, and improve system behaviour across a growing ...

customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

Support programme teams in understanding therapeutic response and identifying opportunities for patient stratification based on mechanistic understanding. Develop innovative AI approaches Apply modern machine learning and AI approaches to translational science challenges. Explore emerging techniques including multimodal modelling, biological foundation models, causal inference, systems biology, and knowledge-based reasoning. … within the organisation. Stay at the forefront of advances in AI, computational biology, and translational medicine. Essential Requirements PhD (or equivalent experience) in Machine Learning, Data Science, Computational Biology, Systems Biology, or a closely related quantitative discipline - with a strong, hands-on computationaltrack record. Demonstrated experience of high-impact ...

risk to decoding customer behaviour and building smarter banking tools. A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

Lead Machine Learning Scientist, FinCrime Location: Cardiff, London or Remote (UK) We are seeking a Lead Machine Learning Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers … optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo and our customers safe. ...

Lead Machine Learning Scientist, FinCrime Location: Cardiff, London or Remote (UK) We are seeking a Lead Machine Learning Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers … optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo and our customers safe. ...

description Connect to your Industry Our Audit and Assurance practice encompasses skills across regulation and finance with a deep analytics capability. We harness these to provide Assurance to those charged with governance, serving the public interest. Working in Assurance means you will have an opportunity to work alongside leading … hiring of focused, aspirational, and collaborative practitioners, and as such we are offering the opportunity to join as a Data Science and Machine Learning Manager to support this challenging and rapidly expanding business. Deloitte offers a unique career opportunity in a supportive, challenging, and fast-growth environment. The successful ...

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 ...