151 to 175 of 333 Deep Learning Jobs in England

highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems. Amazon … experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to … connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers. More ❯

both internal and external data sources. Build predictive and prescriptive models through data manipulation and cleaning. Design, manage, and deploy analytical solutions leveraging Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into production systems following the technology SDLC process. Implement features throughout the ML … data scientist, with a focus on ML modelling, Ranking, Recommendations, or Personalization systems. Proven track record of designing and developing scalable and reliable machine learning systems. Strong expertise in ML/DL/LLM algorithms, model architectures, and training techniques. Proficiency in programming languages such as Python, SQL, Spark More ❯

on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience … the Large Language Model (LLM) that drives Alexa+. We work on recent advances in LLM science including automated prompt optimisation, supervised fine tuning, reinforcement learning, model distillation, retrieval augmented generation, model & prompt interpretability and LLM driven data generation. The techniques are used to tune a foundational model to align More ❯

internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the … exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative … to both technical and non-technical audiences, including through presentations and written reports. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning More ❯

so we are not expecting candidates to be experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or … review). Experience with Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming). Deep understanding of data manipulation/wrangling techniques. Experience using development and deployment technologies (e.g. Vagrant, Virtualbox, Jenkins, Ansible, Docker, Kubernetes). Delivering insights using … for your email authorisation before we send your CV to this organisation. Deerfoot IT: Est. 1997. REC member. ISO certified. Tagged as: Industry , Machine Learning , United Kingdom More ❯

PhysicsX is a deep-tech company of scientists and engineers building next-generation machine learning tools to supercharge physics simulations and redefine what's possible in design and engineering. Our technology stems from a foundation in numerical physics and high-performance motorsport, and today powers breakthroughs across Aerospace … are seeking a skilled Simulation Engineer with strong focus on computational fluid dynamics (CFD) applications across various industries. The ideal candidate will possess a deep understanding of fluid mechanics, heat transfer and multiphase modelling, and will be able to apply theoretical physics accurately to replicate real-world phenomena, while … mentoring more junior colleagues Work at the intersection of CAE and data science, generating highly accurate results and predictions in conjunction with advanced machine learning and deep learning models Work closely with data scientists, machine learning engineers, and clients to develop an understanding of the physics More ❯

call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 2-7 years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience More ❯

or PhD in computer science, statistics or a related field or relevant science experience (publications/scientific prototypes) in lieu of Masters. Experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience More ❯

Job Description - Machine Learning Engineer (006188) Job Description Machine Learning Engineer - ( 006188 ) Description Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It's why we're on a mission to create an automated quoting engine, with … money and that's why good things happen when you meerkat. We'd love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards … Machine Learning. You will identify the tech requirements to productionise automated, scalable, and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly, and celebrate our wins More ❯

/CD and the setup of relevant pipeline and processes. Work experience with working in Linux and Microsoft Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and … technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and … to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and … technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and … to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and … technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and … to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and … technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and … to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience More ❯

tier conferences in Computer Vision and Machine Learning. A day in the life As a senior applied scientist at Amazon, you'll be diving deep into groundbreaking computer vision and ML challenges. Your typical day involves architecting large-scale ML systems, collaborating with cross-functional teams, and mentoring junior … scientists. You'll work with massive datasets, optimize model performance, and ensure production readiness. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon More ❯

expertise with artificial intelligence. They focus on accelerating drug discovery and improving patient outcomes through AI-powered solutions. The Role As Head of Machine Learning, you will take a leadership role in driving the strategic development and application of machine learning methods to enhance drug discovery and therapeutic … shaping the future of AI-powered healthcare solutions and managing a high-performing team of experts. Lead and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions Shape the strategic direction of the ML team, driving innovation in AI-powered drug development Collaborate … intellectual property and scientific reputation Foster a collaborative, forward-thinking environment within the team, mentoring and developing talent Your Experience Proven experience leading machine learning teams, particularly in a high-impact, research-driven environment Expertise in advanced machine learning techniques, with a focus on LLMs/genAI, optimisation More ❯

expertise with artificial intelligence. They focus on accelerating drug discovery and improving patient outcomes through AI-powered solutions. The Role As Head of Machine Learning, you will take a leadership role in driving the strategic development and application of machine learning methods to enhance drug discovery and therapeutic … shaping the future of AI-powered healthcare solutions and managing a high-performing team of experts. Lead and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions Shape the strategic direction of the ML team, driving innovation in AI-powered drug development Collaborate … intellectual property and scientific reputation Foster a collaborative, forward-thinking environment within the team, mentoring and developing talent Your Experience Proven experience leading machine learning teams, particularly in a high-impact, research-driven environment Expertise in advanced machine learning techniques, with a focus on LLMs/genAI, optimisation More ❯

record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions … an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills … RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including More ❯

insights. You will work in a multi-disciplinary team within a highly technical and complex environment. Well-versed in scalable data mining and machine learning techniques, including Kernel Methods, Deep Learning, Statistical Relational Learning, and Ensemble Methods. You will model using advanced statistical/mathematical models More ❯

work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the … and international conferences and scientific journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers … to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of More ❯

work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the … and international conferences and scientific journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers … to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of More ❯

accessible to all patients. The Data Scientist at Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientist will collaborate with data engineers, clinical scientists, tech translators, and business leadership … field, with 3+ years of relevant experience OR a Graduate degree in these fields with 0-3 years of experience. Strong background in machine learning, including deep learning and transformer models. Experience: Hands-on experience with transformer and foundation models, and the ability to handle large datasets. … LLMs for biological data. Familiarity with drug repurposing or biomedical knowledge graphs is a strong plus. Experience using large-scale data frameworks and machine learning toolkits such as PyTorch and HuggingFace. Strong coding standards, including adherence to best practices. Ability to quickly learn new domains and solve complex problems. More ❯

UK Services Ltd. The EU Ops Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences. We are the voice of the customer in Amazon's … challenges Communicate with various internal stakeholders and external audiences BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques More ❯

Ops Concessions DESCRIPTION The EU Ops Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences. We are the voice of the customer in Amazon's … challenges. Communicate with various internal stakeholders and external audiences. BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques More ❯

ML models using techniques like quantization and pruning. Leverage GPU power (CUDA, Python, Jax) for accelerated training. Qualifications: Expertise in Python/C++ and deep learning (PyTorch). Experience building Deep Reinforcement Learning Models. Experience with Robotics and/or Simulation. If you want to join More ❯