26 to 50 of 72 Deep Learning Jobs in London

falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. This Role will be based in London and would require relocation Experienced Deep Learning Engineer for Game Technology We are looking for an experienced machine learning engineer with a solid understanding of low-level systems … problems, we would love you hear from you. This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance. The Team The Advanced Technology Group … the U.S and Japan, as well as technical communication of the ideas and solutions developed. What we're looking for Extensive experience with modern Deep Learning (PyTorch/TensorFlow): You will be expected to make decisions about data and architectures, to implement pipelines for training and validation and more »

PRINCIPAL MACHINE LEARNING INFRASTRUCTURE(ML PLATFORM AND OPERATIONS) -ENGINEER: Bullisher is a data centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a 3 trillion dollar industry. We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements … JOB DESCRIPTION: As a newly created role for a team of four- The oversight team requires a PLATFORM DESIGNED TO HANDLE COMPLEX WORKLOADS. Machine learning development system-A specialize infrastructure needed to deliver complex AI/ML workloads focused on training deep learning models to improve distributed … training and hyper parameter optimization techniques to perform deep learning across GPU clusters without rewriting code or restructuring infrastructure. Areas to focus on will include; A custom build internal ML software infrastructure (MLmodeltrainingplatformforlargeprocurement ,enablingAIandworkloadstorunonthesame infrastructure). State-of-the art hyper parameter optimization that s up to 100x more »

At Loci we re building powerful and fast 3D content understanding algorithms. We leverage cutting-edge technologies such as computer vision, machine learning, and graphics to revolutionise 3D content management and creation. AI has an important role in assisting 3D content creation. Loci s ML platform helps enterprise clients … for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts. Role Summary We're looking for a Machine Learning Scientist to work on methods for 3D content classification, retrieval, generation, and captioning. The role is based in London (Vauxhall) with flexible work-from … could be a dream opportunity. Competitive salary & stock options plan. We are backed by leading European VC funds. What You Will Be Doing Building deep learning algorithms for 3D content classification, retrieval, generation, and captioning. Analysing the performance and efficiency of existing approaches and designing new methods to more »

At Loci we re building powerful and fast 3D content understanding algorithms. We leverage cutting-edge technologies such as computer vision, machine learning, and graphics to revolutionise 3D content management and creation. AI has an important role in assisting 3D content creation. Loci s ML platform helps enterprise clients … for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts. Role Summary We're looking for a Machine Learning Engineer to work on methods for 3D content classification, retrieval, generation, and captioning. The role is based in London (Vauxhall) with flexible work-from … plan. We are backed by leading European VC funds. What You Will Be Doing Write production code to support the development and deployment of deep learning algorithms for 3D content classification, retrieval, generation, and captioning. Ensure the maintenance and monitoring of our deployed microservices. Build ownership of data more »

which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You ll be working across our embodied … AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges you will own Technical leadership of at least one company wide program Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle … stack. Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications. Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers. Allocating personal bandwidth and technical more »

a sneak peek at our culture, find us on Instagram: @optimizely Introduction Our Data Science team harnesses big data, natural language processing, and machine learning to help create next generation products for Optimizely s Experimentation, CMS, e-commerce, and data platforms. This team emerged as a result of the … between data-driven experimentation and AI. This role is within a team whose primary focus lies in the following areas: Natural Language Processing, Machine Learning, and Recommendation Systems. Our stack employs a variety of technologies, including (i) code written in Python, Scala, and TypeScript, (ii) data pipelines using Spark … Luigi, Kubernetes, and Terraform, (iii) prototyping and deploying Machine Learning solutions using Pandas, Scikit-learn, and Dask. Job Responsibilities As a Senior Machine Learning Engineer, you will play a pivotal role in developing and implementing advanced ML systems that drive our company's success. In this role, you more »

a driving force for innovation, change, and technical excellence. Strong background in DevOps, SRE, and Infrastructure/Security is welcomed. Knowledge of AI, Machine Learning, Deep Learning, or Natural Language Processing is a plus. Technical Stack: GCP and AWS Requirements: Excellent problem-solving and analytical skills. Strong … DOE) with up to 10% performance-related bonus. 25 days holiday, plus bank holidays, and an extra day holiday for your birthday. Learning and Development budget. Great reward and recognition programs. Enhanced Maternity and Paternity leave. Access to Perk-box, including the Wellness Hub. Pension Scheme. Life assurance 4x more »

Role Overview Join us as a Principal Machine Learning Engineer, leading the charge in merging cloud infrastructure, DevOps, and machine learning to automate and deploy advanced computational processes. This crucial role focuses on crafting sophisticated machine-learning models for diverse industries, driving our technological evolution. Key Responsibilities … Architect Machine Learning Pipelines: Design and implement robust pipelines for complex data workflows, ensuring scalability, efficiency, and seamless data flow from ingestion to deployment in collaboration with Software team. - Ensure Data Integrity : Conduct data audits, cleanse data, and strategize on acquiring quality data to power insightful models. - Develop Scalable … Master s degree (or equivalent) in a quantitative field (e.g., Computer Science, Engineering). - 7+ years in quantitative analytics or data modeling, with a deep understanding of machine learning, predictive modelling, and algorithms. - Proficiency in Python and SQL. Nice to Have - Leadership and project management experience, with a more »

day travel per week Role type - Perm/Contract- Inside IR35 Experience Req - 8-10YRS Job Overview: Looking for an Azure Machine Learning engineer to join our team of Data Scientists.The candidate will be joining a team who are experienced data scientists, but with less experience in Microsoft … Azure tools (eg Microsoft Machine Learning and Azure AI). They should help with the upskilling of the team in these tools as well as being part of a team delivering pilot use cases in Azure. Responsibilities Include: Experience in working with Microsoft Azure technologies for machine learning … including good knowledge of cloud architecture and networking for Azure-specific solutions. Experience in Infrastructure as Code deployments Experience in data pipelines for machine learning workflows. Experience in deploying machine learning models and large language models. Experience in establishing CI/CD pipelines. Proficiency in programming with Python more »

delivery, installation, maintenance and use of IT systems and their environments. Research and development in Artificial Intelligence and Robotics. Use of Artificial Intelligence, Machine Learning, Automation to improve existing systems and in new systems where required. Use of Big Data technologies to handle data related issues and to replace … trusted source such as Oracle Corporation or Microsoft would be a bonus. Experience: Experience in applying Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience more »

delivery, installation, maintenance and use of IT systems and their environments. Research and development in Artificial Intelligence and Robotics. Use of Artificial Intelligence, Machine Learning, Automation to improve existing systems and in new systems where required. Use of Big Data technologies to handle data related issues and to replace … reporting standards. Many projects involve stakeholders, so it s equally important that IT Project Managers understand how to manage stakeholder relationships. Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience more »

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 »

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 »

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 »

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 »

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 »

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 »

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 »