176 to 200 of 273 Deep Learning Jobs in London

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 ❯

The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/… LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities … guide on model and data suitability. What We're Looking For: 3+ years of professional experience in Advanced Analytics/Data Science/Machine Learning/Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in Python to 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 ❯

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 ❯

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 ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £60–70k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft … perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source 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 ❯

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: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models.  The founding team consists of Cambridge graduates and former engineers at Microsoft … perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source More ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models.  The founding team consists of Cambridge graduates and former engineers at Microsoft … perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source More ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models.  The founding team consists of Cambridge graduates and former engineers at Microsoft … perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source 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 ❯

designing and implementing new endpoints. This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning NLP … the insights needed for well-rounded solutions. Contribute to the development of the next generation of our Cognitive Skill Builder, collaborating with the Machine Learning team to integrate advanced AI features. Work with the Machine Learning and Data Science teams to bring the latest AutoNLU innovations directly to More ❯

datasets to extract insights and features that can be used by downstream AI models. Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. Stay abreast of the latest trends in AI research and integrate them into our products … and services. Communicate technical challenges and solutions to non-technical stakeholders and team members. MINIMUM QUALIFICATIONS/SKILLS Experience in machine learning, with a strong knowledge of algorithms and principles. Proven track record of building and deploying machine learning models into production. Hands-on experience with both structured … and unstructured data. Experience with deep learning models for either computer vision or natural language processing. Proficiency with the Python programming language. Knowledge of Git and collaboration principles. Strong communication and presentation skills. WE OFFER Development - annual development budget to upskill yourself. Benefits - Health insurance, life assurance, income More ❯

That's why we started Encord. We are a talented and ambitious team of 70, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies … information from our data development platform. Building sophisticated RAG systems on other types of data than the usual text documents. Following the latest machine learning research to identify and apply new methods that improve our processes or the user experience. Ensuring our customers have the world's most powerful … AI-powered data development platform. Skills for the job: A PhD or similarly strong academic background in machine learning, with 2+ years of hands-on experience in LLM fine-tuning, RAG systems, and prompt engineering. Proficiency with frameworks like PyTorch, Tensorflow, JAX, Pandas, and OpenCV. A solid understanding of More ❯