26 to 50 of 87 Permanent Deep Learning Jobs

This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta … deliver joint messaging and GTM plans. You also have experience creating compelling product and product‐related thought leadership content to support customers on their learning journey and for Growth/Demand marketing to use for audience, use case, or vertical‐specific campaigns. 5+ years of product marketing experience ...

Quant Developer — C++/Python (Backtesting & Research Production) London | Full-time | On-site Systematic prop firm combining deep learning and quantitative research to trade global markets. Small, technical team — every hire directly impacts strategy and P&L. The Role Translate Python research into production C++. Build and optimise … C++ in quant finance or data-intensive environments Comfortable with Python for analysis and tooling Builder mindset - ship fast, iterate, own problems Why Here Deep learning meets systematic trading Small team, high autonomy, visible impact from day one Ideas move from concept to live trading quickly All applications ...

Quant Researchers — Microstructure & Monetisation (London/NYC/India) The Opportunity An elite, deep-learning focused HFT are hiring Microstructure & Monetization HFT Quant Researchers across London, NYC and India. What You’ll Do Monetise core deep-learning alpha via efficient execution across futures & options across ...

Title: Junior Data Scientist/Junior Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Job Requirements: 2-4 years of experience manipulating data sets and building statistical and machine … learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Experience Developing Machine Learning/Data Science models, from coding to deployment Skills Hands on experience in coding ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. Collaborate … best practices across the team. Support innovation by researching emerging ML techniques and tools. What you’ll bring Proven experience developing and deploying machine learning models in production environments. Proven experience with the OpenCV framework and various object detection models, including YOLO, RCNN, and Vision models, along with ...

Title: AI/ML Engineer Location: San Francisco Bay area Long Term Experience: 14+ Must Job Description Professional experience in an AI or Machine Learning engineering role at the capacity of Lead/Architect. 3-5 years of professional experience in an AI or Machine Learning engineering role. … like LangChain , LlamaIndex etc Expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn). Proven experience with one or more deep learning frameworks, such as TensorFlow or PyTorch. Hands-on experience with a major cloud platform (AWS, Azure, or GCP) for training and deploying ...

therapies to treat some of life’s most devastating diseases. It leverages single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, the company embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis … while also advancing its internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, the partnership underscores the company’s commitment to pioneering science and delivering impactful therapies to patients. The company is rapidly scaling its technology and discovery teams, creating ...

intricate business challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior and mid-level … Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with, or demonstrable capability ...

skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines … workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g. ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. … looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around … support staff, you've got all the ingredients to make it a magical experience! In this role youll be a part of the Machine Learning Modelling team, a dynamic, international team which works on solving complex problems by creating cutting edge models based on unique data sets. This team ...

embedding, Vector database technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles ...

embedding, Vector database technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.**About the Role**As a **Senior Principal Data Scientist**, you will contribute deep technical expertise while helping shape best practices across … apply advanced analytics to real‐world problems.### **Responsibilities:*** **Technical Leadership** Act as the go-to expert for **state-of-the-art** advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging ...

develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify … innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning ...

partner with business leaders to amplify impact and deliver measurable business outcomes with resilience and certainty - leveraging human experience, AI -powered insights, and deep industry expertise. Our consulting and advisory services support our customers confidently navigate a digital transformation journey to embrace a digital future beyond technology - delivering measurable … rapidly expanding and strategically important capability within Atos UK Consulting. This is a consulting‐led role for a senior data scientist who combines deep technical expertise with strong client‐facing skills, translating complex business challenges into secure, scalable, and responsible data‐ and AI‐driven solutions. The role suits individuals ...

partnered with a global Oil & Gas organisation offering the opportunity for a contract Senior AI Engineer to design and deliver advanced AI and machine learning solutions for enterprise-scale industrial applications. This role will focus on applying AI to reliability, corrosion, well and reservoir facility management, process engineering … systems that drive operational performance and asset insight. Responsibilities of the Contract Senior AI Engineer (Oil & Gas) Design and deploy advanced AI models including deep learning, graph neural networks, generative AI and vector embeddings to create adaptive systems that continuously learn from operational data. Build scalable AI platforms ...

funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. … down complex projects into actionable tasks. Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source ...

such as transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring … continuous improvement lifecycles. Experience developing and integrating APIs, particularly for serving machine learning models. Experience building enterprise-integrated solutions that deliver end-to-end capabilities and the ability to recommend appropriate architectural approaches based on use case requirements. To apply for this role please submit your CV or contact ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...