51 to 72 of 72 Deep Learning Jobs in London

Data Scientist/Machine Learning Engineer, Vice President Private Markets is one of the fastest growing asset classes in global financial markets, covering all investments asset classes like real estate, commodities, private equity, hedge funds, and private credit, that are not traded on public exchanges. Our group works within … the Aladdin engineering department building machine learning solutions to facilitate private market investing at BlackRock, and for Aladdin clients. Alts differs from other major asset classes as investment data generally comes in documents in semi or unstructured formats. Our job in the Data Science and Machine Learning group … deploy production standard ML models to solve real world financial problems Build/run in-house developed and third party ML models in production Deep learning research (Graph Neural Networks) Natural language processing (Semantic search, Generative LLMs) Datapoint extraction Develop novel methods to facilitate financial research from unstructured more »

Expertise in Python, Jupyter Notebooks, SageMaker (or similar), and familiarity with MLFlow or equivalent model management tools. Extensive experience in developing and deploying machine learning models in production, preferably within B2C, online retail or similar sectors. Proven track record of strategic model development, from conception through to production and … communication skills, with experience in presenting technical details to non-technical audiences. Whilst not a requirement, any of the following would be considered advantageous: Deep understanding of ethical considerations in data science, including privacy, fairness, and bias mitigation. Publications in relevant data science fields or contributions to open-source … projects. Experience with innovative data science techniques, including AI and deep learning, and their application in solving business problems. Background or interest in e-commerce or Health Tech, with an understanding of the specific data challenges and opportunities it presents. #LI-hybrid Why work with us? At HeliosX more »

Machine Learning Engineer (optimization) Startup LLM up to £200k equity London Do you have experience with optimization and quantization for ML models on HPC clusters? Are you passionate about building groundbreaking technology and shaping the future of AI? Are you excited by the thought of starting a company from … in seed funding to kick us off and aim to go for Series A in early 2025 We re looking for an experienced Machine Learning Engineer that has implemented SOTA Research and quantization techniques to optimize ML pipelines to enable people to ship their models faster and more efficiently. … ML Pipelines. Here are some of things we d expect you to have: Experience in ML quantization, PEFT, DeepSpeed, ONNX, TensorRT etc Experience in Deep Learning using PyTorch Library Experience with Kubernetes Familiar with inference servers such as multi-LoRa, LoRA Exchange, TitanML etc Experience creating/managing more »

quality training data, in effect turning the training data problem into a data science problem. The Role We are looking for an experienced Machine Learning Engineer to help us conduct research on the state of the art of computer vision and solve multifaceted algorithmic problems. You will: Experiment with … to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning. Qualifications The right candidate will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the … role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Encord offers a unique opportunity to be part of a more »

data scientists based in the UK branch. They are at the forefront of technical advancements and are looking to expand further into the LLM, deep learning, and AI space. Responsibilities: Be a leader, focusing on staying on top of the latest trends in the space such as AI … How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: LLMs, NLP, Machine Learning, Artificial Intelligence more »

customer analytics team as a senior data scientist. You will be building analytics models using a range of data science approaches, such as machine learning and statistical techniques, along with wider analytical approaches such as time series and analytics with unstructured data e.g. NLP. They recently used gradient boosting … machine learning to predict radio listening behaviour for a client, taking into account advertising spend. Commercial Skills The Successful Candidate Is Likely To Have: Ability to talk confidently to clients, discussing and advising on business objectives Proven track record of how results can best be deployed within businesses Ability … work autonomously when required, demonstrating the ability to prioritise and organise Technical Skills Excellent working knowledge of advanced analytical techniques, including regression, segmentation, machine deep learning, natural language processing, text analytics, and time-series modelling Experience of a wide variety of technologies including: R or Python, SQL Understanding more »

experience communicating across technical and non-technical audiences. They must have experience in using Python. They must have hands-on experience building models with deep learning frameworks. Work Setting: Candidates must have proven knowledge of Generative AI. They must have hands-on experience of building applications with large more »

PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. Role Overview: We are looking for an independent, dedicated Machine Learning Engineer to join our team and contribute to redefining the world of game play and live streaming via advanced R&D. Engage with a … world-leading team of engineers and help solve some of the cutting edge problems in machine learning, video streaming and computer vision. What you ll be doing: Develop and improve core deep learning architectures for graphics and video processing for a variety of applications, such as live … R&D work with other teams within Sony Interactive Entertainment What we re looking for: MSc. in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow more »

PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. Role Overview: We are looking for an independent, dedicated Machine Learning Engineer to join our team and contribute to redefining the world of game play and live streaming via advanced R&D. Engage with a … world-leading team of engineers and help solve some of the cutting edge problems in machine learning, video streaming and computer vision. What you ll be doing: Develop and improve core deep learning architectures for graphics and video processing for a variety of applications, such as live … R&D work with other teams within Sony Interactive Entertainment What we re looking for: MSc. in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow more »

Machine Learning Researcher (London visit the office 3 days a week) Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world s largest tech & manufacturing brands The team are working on prototypes … a relevant field (Statistics, Computer Science, etc.) PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely technical more »

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their … apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our data scientists, machine learning engineers and clients to develop an understanding of the physics and engineering challenges we are solving Setup and build CFD & multi-physics models to … mentoring more junior colleagues Work at the intersection of CAE and data science, generating highly accurate results and predictions in conjunction with advanced machine & deep learning models Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the more »

ML solutions. and thrive on pushing boundaries and achieving ambitious goals, we d love to hear from you. Responsibilities Develop and refine scalable machine learning libraries tailored to the financial sector's needs. Write, document, and maintain modular code bases, ensuring quality and sustainability in collaboration with our engineering … present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing. Design and implement machine learning models to parse and learn from diverse data sets, including but not limited to textual, tabular, and graph data, optimizing for the financial domain. … capabilities of Large Language Models (LLMs) to create industry-specific solutions, from proof of concept to fully-fledged deployed applications. Qualifications Solid experience with deep learning libraries such as Transformers, PyTorch, TensorFlow, Jax, or Keras. Proficiency in Python development, with a strong grasp of Git workflows and commitment more »

engineers aren t just building a better product; they re making the world a better place by improving women s health. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, medically credible health tips. We are committed to discover and empower our employees to … development. Our engineers have an average of 10 years of experience, so they can solve ambitious product tasks. We are looking for a Machine Learning Engineer for the AI foundation team. Solutions the AI team build are rooted in our medical knowledge, technical skills, swift adoption of new technologies … symptoms, symptoms prediction, utilising data from wearable devices, and more Your Experience Must have: 4+ years of professional experience in the field of machine learning Solid understanding of classical ML algorithms Good understanding of statistical concepts, particularly in the context of A/B testing Familiarity with fundamental concepts more »

About You You are an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) and is excited to build the voice interfaces of the future. We are betting big on scaling models so you will be working with millions of hours of audio and … the bottlenecks across our 30+ languages and targeting our efforts to understand every voice . Our main research focus is large-scale Self-supervised Learning and a practical focus on building state-of-the-art speech pipelines. An average day might include working on Scaling self-supervised learning … analysing model predictions with the team. You ll want to join our team if you Want to learn more about speech recognition and representational learning Are results driven, like moving fast and keeping things simple Love working in collaborative and ambitious teams Have a growth mindset and love to more »

Models. High-level programming skills in languages such as Java, C/C++, R & Python. Knowledge and experience of SOA NLP APIs & ML/Deep Learning frameworks. Experience translating user requirements into workflow designs/specifications. Skilled in constructing and refining data processing pipelines including workflow management technologies more »

of C, C#, C++ being advantageous Proficiency with SQL and Linux Familiarity with Parallelism and distributed computing Experience with either supervised, unsupervised, reinforced or deep learning preferred Meticulous data management skills. Apply Now! #J-18808-Ljbffr more »

inversion techniques. An understanding of some or all of the following will be a benefit Computational physics, Finite difference, and numerical simulation Inverse methods Deep learning Experience as a user of seismic processing and imaging software is desirable but not required. Coding experience in one or more programming more »

Explore and analyse data from various sources and formats using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps, and Azure … Functions Run experiments and monitor performance of machine learning solutions using tools such as Azure ML Experimentation, Azure ML Studio, and Azure Application Insights Define high-value business scenarios that can benefit from generative AI and LLM solutions. Communicate and present findings and recommendations to stakeholders and customers using … tools such as Power BI, Azure Data Explorer, and Azure Cognitive Services Qualifications Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, R, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data more »

The Simulator team builds state of the art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning extensively to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, weather etc. … part of a high performing, collaborative research engineering team that takes research ideas and productionizes them Preferred qualifications Strong background and experience in applied Deep Learning Strong coding and design skills Experience in solving complex production problems using state of the art ML techniques Experience in taking research … Company: Waymo Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Data Analysis , Industry , Machine Learning , NLP , United Kingdom #J-18808-Ljbffr more »

with new and emerging PPC features and technologies to stay ahead of the curve and outperform competitors. 3. Analytics and Reporting: Advanced Analytics: Dive deep into analytics to understand user behavior and conversion patterns. Make data-driven decisions to refine targeting and bidding strategies. Performance Reporting: Develop regular reports … independently delivering successful end-to-end PPC campaigns, preferably in a user acquisition-based industry. Proven track record of achieving conversion-based KPI targets. Deep knowledge of data tools and confidence in deriving insights from data to assist in decision-making. Agile and ambitious, with the ability to work … by our products. We shape the future of our industry with world-class games, back-office and content management systems, hosting solutions, infrastructure, proprietary deep learning engine as well as a revolutionary user retention suite of products spanning 8 development centers across Romania, Cyprus, UK, Columbia and Malta. more »

creation of new research spaces and breakthroughs that change where, how and by whom research is done. Our mission is to solve complex machine-learning problems at the edge of what is currently technically possible. Cohere For AI has both a full-time research staff which builds the next … generation of large scale machine learning models and an open science initiative that supports collaborative research across institutions and creates paths of access for independent researchers. In this role, as a Machine learning Engineer, you work mainly on creating great libraries and usability for open research releases. This … to be creative and create artifacts that make research models and open weights accessible to users and contributors of the broad open-source machine-learning ecosystem. An essential aspect of this role is engaging with the wider open-source ML ecosystem, interacting with and learning from its users more »

Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we re building things differently. We don t think it s scalable to tell an algorithm how … to drive through hand-coded rules and expensive HD maps. Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments. Our aim is to be the future of self-driving … both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale. You ll be working closely with our robotics, research, platform and data teams, as more »