51 to 75 of 90 Permanent Deep Learning Jobs in the UK

Site Name: London The Stanley Building Posted Date: Jun 5 2024 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 treatments, driving … 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 RNA Therapeutics team applies machine learning and AI … track role with responsibility for direct reports. 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 and biology. Equally important will be excellent communication, interpersonal and organisational skills 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 »

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 »

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 »

across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should … also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement, and … train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute more »

INFOLead Machine Learning EngineerUp to 115,000 + benefitsLondon - 3 days a weekThis is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work end to end … building and deploying models.The Role:Your day-to-day responsibilities will include:Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clientsPart of a team of 12 reporting to the Head of Data ScienceChance to have 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 »

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 »

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 »

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 »

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 »

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 »

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 »

Bash Hybrid on-premise and Cloud computing implementation and integrations Cloud solutions on Azure, AWS or Google Video streaming technologies e.g. GStreamer AI and Deep Learning technologies, particularly for Computer Vision What we offer: #LI-Hybrid #LI-MO1 more »

or graph databases (e.g., neo4j) is a plus. Experience in logic programing, information retrieval and/or natural language processing is a plusExperience in deep learning and language transformer models (e.g., GPT, BERT, etc.) is a plus. Experience in OpenAI, Docusign, Guidewire or Salesforce are a plus.About AXAAs more »

Service), Workplace Pension, Discounts On Private Health Insurance, Retailers, Gyms & Cycle2work Scheme. This could be great for someone with a genuine interest in machine learning and logistics algorithms. The ideal candidate will join the team and quickly contribute to the machine learning-based route planning and logistics solutions. … we want from you. A minimum of one year of experience Python coding expeirence Experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Experience using GIT, or other codebases. Dat Science or Mathematics degree would be beneficial, but not more »

Python Developer Birmingham What We Are Looking For: We are seeking an enthusiastic and motivated Python Developer with a keen interest in machine learning and logistics algorithms. The ideal Python Developer will seamlessly integrate into our team and immediately play a pivotal role in advancing our machine learning … working to deadlines, thinking independently, and solving problems effectively. Proficiency in Python development within a professional setting and a solid understanding of essential machine learning and algorithmic principles are required. Python Developer - What Youll Be Doing: Designing and implementing logistics algorithms using Python, focusing on efficiency, scalability, and understanding … Required: Proficient in Python (at least 1 year working in a professional setting) with experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Ability to write maintainable and efficient code under deadlines Proficiency in Git, and experience working collaboratively 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 »