51 to 75 of 93 Deep Learning Jobs in the UK

NLP Machine Learning Engineer Tech Company Permanent £60,000 £80,000 + benefits London (hybrid 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are … focused on using NLP techniques to train models Experience developing ML solutions to Cloud (AWS ideally) Excellent grasp of Python/SQL + machine learning core libraries Some experience/interest in Computer vision is nice to have Experience building Large Language Models (LLMs) is nice to have For … more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks more »

conversations and presentations Research & development in support of new AI based offerings Leading & delivering client solutions using a range of DS/AI technologies Learning about new technologies/research and how they could be applied for the benefit of our clients Mentoring and managing other experienced and aspiring … of mathematical, probability & statistics principles, and of algorithm theory Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc Programming skills in Python or R, Spark and SQL Worked with open source data science … and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility more »

we launch the Generative AI Pod, a dynamic and innovative space dedicated to reshaping the future of audits through ground-breaking AI and Machine Learning technologies. Our startup-minded team aims to revolutionise auditing, collaborating closely with Audit Subject Matter Experts (SMEs) to drive innovation and advancements in how … AI and LLMs Understanding of requirements for software engineering and data governance in data science Extensive experience with modern data platform architecture, experience in Deep Learning (PyTorch/TensorFlow) Practical experience from industry and professional services in delivering large scale data platforms and valuable advanced analytics, blending large more »

Introduction 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 … the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk (even if you don't tick … with product management to identify new opportunities for the product engineering team Design and develop python libraries that solve complex problems in applying machine learning to design and engineering Write high-quality code that allow us to create scalable and reliable machine learning libraries Use common libraries for more »

and removing bottlenecks to produce better outcomes for analytics and data pipeline workflows. Areas to cover will include: Quantum cloud-native disaggregated architecture (Machine learning and deep learning algorithms, AI , modern analytics, streaming data pipelines). Areas where matters require attention: : (As applications are rearchitected or created … and Automation, disaggregation (separately manage infrastructure, applications and storage). BULLISHIER traditional analytics engine has a collective signatures of workloads powered by a machine learning base workloads, planning and optimization engine. Powered by a global networks of telemetry data , from the telemetry data we are able to proactively detect … performance with simplicity factors appropriate for each application. In the data centre, we'll have heavy transformations and processing with the training and machine learning, in production Pipelines you'll deploy that tested code to the data centre. Areas to focus on Failure and recovery: As you Handle different more »

Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this more »

are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the … grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business … while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience more »

involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and … wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact as the data scientist on the … influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will: Develop deep understanding of our product experiences and opportunities for growth Actively contribute to roadmap and goals for the product pillar Drive regular cross functional team 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 »

Post-Sales Machine Learning Engineer, Customer Success - EMEA (Remote) London Customer Success Success ML Engineer/At Weights & Biases, our mission is to build the best developer tools for AI developers. Weights & Biases is a series C company with 250 million in funding and a rapidly growing user base. … Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more. We're hiring a Machine Learning … Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. In this role, you'll be collaborating closely with the most advanced ML teams worldwide, tackling some of the most challenging ML issues more »

company with 250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue … Cross Blue Shield, Lyft, and more. We're hiring a Machine Learning Engineer - Customer Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. In this role, you'll be working with … B functionality that highlights those capabilities, designing and executing proof of values (as needed) and securing a technical success in the evaluation process. Machine Learning Engineers on our customer success teams are critical to the success of our customers at Weights & Biases. You'll partner with Sales, Support, Product more »

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 »

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 »

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 »

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 »