201 to 225 of 416 Deep Learning Jobs in the UK

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 ❯

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 ❯

significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data science applications. Responsibilities Build machine learning models for business applications. Implement advanced scheduling solutions and develop scalable processes. Make strategic, data-driven decisions that shape last-mile delivery. Drive impactful … projects that influence customer experience and operational excellence. Minimum Requirements 6+ years of experience in building machine learning models for business applications. Knowledge of programming languages such as C/C++, Python, Java, or Perl. Experience with neural deep learning methods and machine learning. Master's degree … in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field. PhD in a related field preferred. 15+ years of relevant, broad research experience. Deep expertise in Machine Learning and proficiency in programming. Core competency in mathematics and statistics. Track record of 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 ❯

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 ❯

featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management. Global AWS Support BizOPs team is looking for a … passionate Data Scientist to model contact forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and deep learning to drive business and operational improvements. A successful candidate must be passionate about building solutions that will help drive a more efficient operations network and … data requirements, build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. The candidate is customer obsessed, innovative, independent, results-oriented and enjoys 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 ❯

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 ❯

Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets … our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning … team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. 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 ❯

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 ❯