226 to 250 of 329 Deep Learning Jobs in England

world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product … teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing (preferably AWS) and tools and technologies such as docker and git Where you will be: At Entrust, we have a More ❯

world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product … teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing (preferably AWS) and tools and technologies such as docker and git Where you will be: At Entrust, we have a More ❯

Full Time DESCRIPTION The Artificial General Intelligence team (AGI) has an exciting position for a Senior Applied Scientist with a strong background in Machine Learning and Large Language Models to play a critical role in driving the deployment of state-of-the-art conversational systems. As part of this … and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Experience with neural deep learning methods and machine learning. Experience in building machine … learning models for business applications. Experience in applied research. Experience programming in Java, C++, Python or related languages. Experience in patents or publications at top-tier peer-reviewed conferences or journals. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. More ❯

far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from … into unified, responsive behaviours. To be successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision … language understanding, and interactive learning (LLM, VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern More ❯

far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from … into unified, responsive behaviours. To be successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision … language understanding, and interactive learning (LLM, VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern More ❯

databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and … query, contributing to shaping and implementing the LLM agentic ecosystem in Bloomberg and scaling generative AI applications to thousands of users Applying traditional machine learning, NLP and GenerativeAI to prototype and productionize client-facing search and streaming applications for discovering the most relevant and timely financial news You'll … ML, Math, Statistics, Engineering with prior industry experience. We are happy to consider candidates with a Ph.D and industry experience through internships Experience with deep learning frameworks such as PyTorch Proficiency in software engineering An understanding of Computer Science and software engineering fundamentals such as data structures and More ❯

databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and … query, contributing to shaping and implementing the LLM agentic ecosystem in Bloomberg and scaling generative AI applications to thousands of users. Applying traditional machine learning, NLP and Generative AI to prototype and productionize client-facing search and streaming applications for discovering the most relevant and timely financial news. You … ML, Math, Statistics, Engineering with prior industry experience. We are happy to consider candidates with a Ph.D and industry experience through internships. Experience with deep learning frameworks such as PyTorch. Proficiency in software engineering. An understanding of Computer Science and software engineering fundamentals such as data structures and More ❯

University Assistant Professor in Machine Learning 2025-02-26 Cambridge The successful candidate will contribute to research and teaching in Information Engineering, developing an independent research portfolio, securing grants, and mentoring students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd and … 4th-year modules in machine learning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students. Research: The candidate will be expected to contribute to the research and teaching within Information Engineering. Assistant Professors are expected to develop their own research portfolio, including winning … course, with an emphasis on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machine learning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep Learning and More ❯

Ops research to optimize middle mile truck routes Working with global science teams to affect pricing models and Shipments Per Route for $MM savings Deep Learning models to synthesize attributes of addresses Abuse detection models to reduce network losses Key job responsibilities Use machine learning and analytical … other science and engineering teams to drive real-time model implementations Work closely with Ops/Product partners to identify problems and propose machine learning solutions Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and … areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in solving business problems through machine learning, data mining and statistical algorithms PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Experience in patents or publications at top More ❯

Site Name: London The Stanley Building Posted Date: Mar At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes … with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Clinical Development team is responsible for creating AI/… building out a team in this domain. The candidate should be comfortable being accountable for setting the direction, standards, and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering, computational pathology and medical imaging. Equally important will be excellent communication, interpersonal More ❯

We are seeking a talented Machine Learning (ML) Scientist to join a groundbreaking initiative to develop Digital Twins for rare diseases. You will work within a multidisciplinary project team, across the Open Targets, Molecular Systems and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). This … level data. To address this challenge, this project aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets … R, or similar programming languages. • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Strong knowledge of advanced statistical techniques and modern deep learning methods. • Expertise in pipeline workflow management tools like Nextflow or Snakemake. • Excellent communication skills, both written and verbal, for collaborative teamwork and More ❯

Machine Learning Engineer Paris, France CDI, Permanent position Hybrid working 5V Tech is working with an innovative and rapidly expanding scale-up operating at the intersection of healthcare and AI. They're now looking for a Machine Learning Engineer to join their team in Paris. This is an … Producing clear and structured technical documentation for both internal and external use. Key skills required: Solid background in Python, Linux, and Git. Experience in deep learning (TensorFlow, Keras, PyTorch) and statistical validation of medical devices. Fluent in English and French. If this sounds like the kind of opportunity More ❯

and fraud detection), security forensics and research, viewability prediction, brand safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. We are looking for a dynamic, innovative and accomplished Applied Scientist to work on … machine learning and data science initiatives for contextual data processing and classification that power our contextual advertising solutions. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you … As this is a new initiative, you will get an opportunity to act as a thought leader, work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms and collaborate with multiple cross-functional teams. Key job responsibilities Design, prototype and test More ❯

in Luxembourg (alternatively: Barcelona, Berlin or London), designed to maximize interaction with the team and stakeholder. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead … programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right … level of decomposition, employing parallelization and approximation algorithms. We use deep learning, bandits, and reinforcement learning to put data into the loop of decision making. We like to learn new techniques to surprise business stakeholders by making possible what they cannot anticipate. For this reason, we work More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation and … historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An MSc or PhD More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation and … historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An MSc or PhD More ❯

Stay up to date with the latest research in GenAI and health tech applications of LLMs. Requirements 3+ years of experience working in machine learning/NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow More ❯

Stay up to date with the latest research in GenAI and health tech applications of LLMs. Requirements 3+ years of experience working in machine learning/NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow More ❯

the capabilities of drivers, foster happiness, and elevate well-being. Team At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and … advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge … navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases; Writes high-quality code while being rigorous with Machine Learning experimentation; Collaborate closely with stakeholders from multiple teams in different time zones to define interfaces and requirements for an end-to-end stack; Experience More ❯

have experience in the HR domain and/or emerging Agentic technologies that is a plus. For this role you must have demonstrated machine learning experience and strong software skills coupled with a sound theoretical base in model training and optimization. If you have deeper experience or a stronger … frameworks, and tools. Investigate and resolve reported issues. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field OR equivalent learning and experience. 4+ years experience implementing AI/ML products or advanced degrees. Experience with one or more of the following: Natural Language processing … deep learning, generative AI, and/or Agentic AI. Expert with Python and data science frameworks. Excellent problem-solving and analytical skills. Excellent communication and interpersonal skills. Articulates thoughts and ideas clearly, concisely, and persuasively. EEO Statement iCIMS is a place where everyone belongs. We celebrate diversity and More ❯

issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Requirements : A degree in Computer Science, Machine Learning, or a related field, or equivalent … industry experience 3+ years of experience working with deep learning and statistical models Strong knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch) Experience with cloud services … Flexible working from home policy Work from outside of the UK for up to 6 months each year Enhanced parental leave Bike2Work scheme Annual learning and development allowance One-off WFH allowance when you join Company-funded fertility and family-forming programmes Menopause care programme with Maven Private healthcare More ❯

daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary: We're looking for a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. You'll play a key role in building real-time, FDA-compliant … regulatory-ready ML solutions to market. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Design and implement machine learning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer). Develop algorithms that meet clinical-grade performance standards for use … ROC-AUC, and precision-recall. Contribute to technical documentation and regulatory submissions for medical-grade software. Requirements/Qualifications: MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or a related field. 3-5+ years of experience applying machine learning to time-series or physiological data. More ❯

scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you … programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of … the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as More ❯

team. You will play a critical role in developing, enhancing, and maintaining market models that drive competitive positioning and profitability. This role requires a deep understanding of statistical modeling, machine learning, and market dynamics to build models that anticipate competitor pricing strategies and inform data-driven decision-making. … to improve competitive positioning. Analyze external market trends and competitor behaviours to build predictive models that inform pricing strategy. Apply advanced statistical and machine learning techniques, including generalized linear models (GLMs), gradient boosting, and deep learning, to extract insights from large, complex datasets. Work with data engineers … Mentor junior data scientists and analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling and machine learning techniques (GLMs, GBMs, neural networks, etc.). Experience in pricing or market modelling, preferably in insurance. Proficiency in Python and SQL for data analysis More ❯

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazon's global operations. This includes millions … payments, inventory movements, commission calculations, and tax collections across hundreds of jurisdictions worldwide. As an Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows … algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in More ❯