76 to 100 of 124 Permanent Deep Learning Jobs

Are you an experienced Senior Machine Learning Engineer who wants to work in a team at the cutting edge of engineering sustainability? Our client is on a mission to empower engineers to use AI to overcome their most difficult physics and design challenges and build truly great products. With … years, are growing globally (50 employees and counting), and have ambitious plans to expand. In light of this, they are recruiting a Senior Machine Learning Engineer to continue their growth and improve the capabilities of their products. This well-funded company was founded in 2016, and provides a no … the office 3 days per week. It’s an exciting time to join this ambitious team!! WHAT YOU'LL BE DOING As Senior Machine Learning Engineer, you will sit within the company's Data Science team and report to the Director of Engineering. Their Machine Learning stack runs more »

equity This is an exciting new opportunity for a SLAM Computer Vision expert to join a DeepTech start-up! THE COMPANY This Deep-Tech start-up is going through a funding round and growing its company substantially. They specialize in leveraging advanced computer vision techniques to process and analyze … will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D AI pipeline … leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project management for AI more »

Skills and Experience: Hold a Master's or PhD in Computer Science, Engineering, or a similar discipline. 1-3 years of experience in machine learning and computer vision, with a focus on the practical use of generative models. Skilled in Python, with a willingness to adapt to other programming … languages and tools as needed. Experienced with deep learning platforms like PyTorch, and able to quickly learn new technologies. more »

equity markets, volatility modeling, and derivative instruments. Strong Programming skills e.g. R, Python, SAS, SQL or other languages Plus: Experience using applied ML/Deep Learning packages more »

Blockchain company specialising in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My client also integrates advanced machine learning algorithms, neural networks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/ more »

within an industry setting. Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neural network training. Have practical experience with various Data Science and ML frameworks or tools. Excellent verbal and written communication skills Proficient in using … MS Office suite (Excel, PowerPoint & Word). Desirable: Familiarity tools related to machine learning operations. Experience with AWS Knowledge of Reinforcement Learning techniques. Unfortunately sponsorship is not provided for this role If you are interested please apply here or reach out to Morgan.beck@xcede.com more »

Machine Learning Engineer, South Cambridge - £60k - £85k + Superb benefits. Cutting Edge R&D We have a fantastic new opportunity for a Machine Learning Engineer to join a state-of-the-art R&D company based in South Cambridgeshire. You will be working across an exciting range of … join the friendly and supportive R&D group, developing technology that makes a difference and has real-world impact. You'll use your Machine learning to develop systems that apply ML to a broad range of tasks. The projects will test your broad exposure to the ML development cycle … cleaning and preparation, rapid code prototyping, iterating model designs and deploying and packaging code into brand new products. This role would suit a Machine Learning innovator, someone looking to push forward what is possible with ML and see their concepts develop into real world solutions and tangible cutting-edge more »

AI technology our client offers a unique opportunity to work with cutting-edge AI solutions and drive innovation in a collaborative environment. Position: Machine Learning Engineer Key Responsibilities: Prototype, build, and implement new AI approaches as part of a wider team Intergrate and deploy ML Models into main environement … Proficiency in data science, including handling large datasets, modeling, and evaluation Understanding of software engineering concepts, especially best practices within development Experience with machine learning Python frameworks like PyTorch, Tensorflow, and Scikit-Learn Desirable Skills for Senior Candidates: Familiarity with related academic fields such as NLP, Computer Vision, or … Deep Learning Demonstrable industry experience with significant impact in a commercial setting Experince with cloud technologies, especially AWS Strong Python more »

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We’re using … world communicates. Knowledge, skills, and qualifications Rather than require specific education or backgrounds, we’re looking for evidence of the following: Experience building machine learning/deep learning algorithms Experience deploying machine learning/deep learning algorithms into production Proficient with data structures and … algorithms, with good experience handling unstructured data. Proficiency in Python, NLP libraries (NLTK, SpaCy), Hugging Face Transformers, data science libraries (Numpy, Pandas) and deep learning frameworks (TensorFlow and/or PyTorch). Experience crawling, cleaning, processing unstructured data. Understanding of CI/CD & Devops principles. Familiarity with software more »

positive outcomes that cost less). Role We're seeking a passionate Data Scientist to join our team and shape the future of Machine Learning & Generative AI applied to creative marketing technology. Leveraging expertise in MarTech and AdTech, you'll build high-quality datasets, power innovative models, and develop … of actionable model outputs, data products, and insights for the Dynamic Content Engine (DCE), involving data extraction, cleaning, preprocessing, and development of AI & machine learning algorithms. Automate data products and model outputs to enable DCE to consistently drive measurable results and effective insights at scale. Design, measure and refine … data imperfections and validate data integrity for modelling purposes. Report to the Head of Product, supporting the rollout of new data products and machine learning models, and transformation of data, reporting, and analytics. Utilise various programming paradigms (imperative, object-oriented, functional, declarative) and work in multi-threaded, concurrent, non more »

the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals. This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context. Responsibilities … NLP in a commercial setting, ideally for information extraction, entity recognition, etc. Experience working with transformers-based models such as BERT, GPT, etc. Extensive Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks more »

Lead Machine Learning Engineer - Full Time On behalf of our Biotech client, we are recruiting for a Lead Machine Learning Engineer. This position has come live due to company growth and the client is looking for a highly technical Machine Learning expert to join them who have … experience with the following... Proven Leadership experience in a highly technical environment Extensive Python experience skilled with deep learning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program in Computer 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 »

with us as we harness cutting-edge techniques and stay abreast of the latest Google updates. Role Description We're seeking a talented Machine Learning Specialist for a full-time remote position. As part of our team, you'll spearhead the development and implementation of machine learning algorithms … into the realm of data preprocessing, feature selection, model training, and performance assessment in your daily tasks. Qualifications Solid foundation in Computer Science, Machine Learning, and Statistics Proficiency in Deep Learning techniques and algorithmic methodologies Expertise in data preprocessing and feature selection methodologies Familiarity with optimization techniques … for refining machine learning models Proficient in programming languages such as Python or R Outstanding problem-solving abilities and analytical acumen Self-driven with a proven ability to excel in remote work environments Previous experience in search engine optimization (SEO) is advantageous Master's or Ph.D. degree in Computer more »

intelligence principles and techniques Proficiency in programming languages commonly used in AI research, such as Python or TensorFlow Experience in developing and deploying machine learning models Familiarity with deep learning frameworks and methodologies Strong analytical and problem-solving skills Ability to thrive in a fast-paced, collaborative more »

Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary ***Please note this role does not offer sponsorship, and you must be based in London to apply*** An exciting AI content platform are … academic research , and ideally 5+ years of experience in a commercial setting too! Essentials: 5+ years experience as a Data Scientist Proven expertise with deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python … and I'll be in touch! Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary more »

push the boundaries of what's possible with data engineering, shaping the future of AI Responsibilities: Productionising and scaling Neo4j/graph databases/deep learning on knowledge graphs Productionising open source LLMs AWS Infrastructure - S3, SQS, ECS, RDS, Terraform and containerisation Develop and maintain ETL pipeline infrastructure … Mathematics, Computer Science, Engineering, or a related field. 5 Years+ working as a data engineer ideally in a senior capacity Strong experience of Python Deep knowledge of NLP such as hugging face and spacy AWS - ETL Processes (Glue, Lambda etc.), ECS, S3, Database Solutions (Redshift, RDS) Vector Databases a 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 »

the Analytics organization, including Product Management, Engineering, and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models, clustering, anomaly detection, and interpretability 5+ years of experience in catastrophe risk Modeling, Applied Statistics, Probability theory, Monte … ensures that coverage is accessible when needed. With cyber threats escalating, the need to mitigate exposure while providing comprehensive coverage is paramount. Through our deep-seated experience in both cyber insurance and cybersecurity, we are able to decipher extensive cyber risk data for our customers to enhance risk assessment more »

with cutting-edge technologies. The Role: Your day-to-day responsibilities will include: Working on core segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 8 reporting to the Head of Data Science - working closely more »

or PhD with 5+ years industry experience working on performance architecture of NPU/GPU/CPU/AI accelerators Software-hardware co-design Deep learning frameworks, PyTorch, TensorFlow C/C++, Python Desirable MLOps, including model training, quantization, sparsity, model preprocessing etc. ML Compiler stack Verilog/ more »

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using more »

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using more »

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using more »

multiple disciplines. Strong written and verbal communication skills. Desirable: Experience with hybrid on-premise/cloud-computing implementation and integrations. Experience with AI and Deep Learning technologies, particularly for Computer Vision. Experience with Data Analytics. Domain knowledge in Physical Security such as Video Surveillance and Access Control. Experience more »