276 to 300 of 453 Permanent Deep Learning Jobs

Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural … Cloud Mastery Programming & Big Data: 10+ years of extensive, hands-on experience with Apache Spark, with strong preference for production development using Scala. Deep expertise with Apache Hive for data querying and management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least ...

Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural … Cloud Mastery Programming & Big Data: 10+ years of extensive, hands-on experience with Apache Spark, with strong preference for production development using Scala. Deep expertise with Apache Hive for data querying and management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least ...

Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural … Cloud Mastery Programming & Big Data: 10+ years of extensive, hands-on experience with Apache Spark, with strong preference for production development using Scala. Deep expertise with Apache Hive for data querying and management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least ...

Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural … Cloud Mastery Programming & Big Data: 10+ years of extensive, hands-on experience with Apache Spark, with strong preference for production development using Scala. Deep expertise with Apache Hive for data querying and management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least ...

Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural … Cloud Mastery Programming & Big Data: 10+ years of extensive, hands-on experience with Apache Spark, with strong preference for production development using Scala. Deep expertise with Apache Hive for data querying and management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least ...

Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural … Cloud Mastery Programming & Big Data: 10+ years of extensive, hands-on experience with Apache Spark , with strong preference for production development using Scala . Deep expertise with Apache Hive for data querying and management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least ...

frameworks (e.g., LangGraph, AutoGen, CrewAI). Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning). Proficiency in Python and familiarity with deep learning/NLP libraries (LangChain, PyTorch, TensorFlow, HuggingFace Transformers). Experience with building Q&A systems and retrieval-augmented generation pipelines. Knowledge ...

frameworks (e.g., LangGraph, AutoGen, CrewAI). Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning). Proficiency in Python and familiarity with deep learning/NLP libraries (LangChain, PyTorch, TensorFlow, HuggingFace Transformers). Experience with building Q&A systems and retrieval-augmented generation pipelines. Knowledge ...

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. ...

Engineer Python, Machine Learning, NLP, Azure An AI Engineer is required by Whitehall Resources for a permanent position with our UK-based client. This role offers hybrid working, with the flexibility to be based from offices in either Birmingham or Manchester three days a week. As an AI Engineer … youll be responsible for designing, developing, and deploying AI and Machine Learning solutions that directly support and enhance operational efficiency across our clients business. Working with our clients Information Systems team, youll collaborate with software engineers, data scientists, and business stakeholders to implement real-world intelligent systems using technologies ...

reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across … business value, supporting deal team members and portfolio company executives. We're looking for data scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do Build ...

reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across … business value, supporting deal team members and portfolio company executives. We’re looking for data scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do Build ...

reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across … business value, supporting deal team members and portfolio company executives. We’re looking for data scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do Build ...

About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected … influence real experimental decisions. They’re looking for an ML Research Scientist who: Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.) Has worked with biological or molecular data in some form... proteins, molecules, structure, interfaces Can work closely with chemists ...

About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected … influence real experimental decisions. They’re looking for an ML Research Scientist who: Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.) Has worked with biological or molecular data in some form... proteins, molecules, structure, interfaces Can work closely with chemists ...

Computer Vision and Machine Learning Engineer, you will: Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision … image processing and deep learning models Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Essential Skills Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines Professional software development ...

Computer Vision and Machine Learning Engineer, you will: Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision … image processing and deep learning models Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Essential Skills Masters or higher degree in ML/AI, Computer Science/Engineering, or related disciplines Professional software development ...

lifecycle—from feature engineering and model design to validation, deployment, and monitoring. Technical Proficiency: Fluency in Python, SQL, or similar languages, and experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet. Agile & DevSecOps: Familiarity with Agile methodologies and DevSecOps practices, including Git for version control. ...

lifecycle—from feature engineering and model design to validation, deployment, and monitoring. Technical Proficiency: Fluency in Python, SQL, or similar languages, and experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet. Agile & DevSecOps: Familiarity with Agile methodologies and DevSecOps practices, including Git for version control. ...

lifecycle—from feature engineering and model design to validation, deployment, and monitoring. Technical Proficiency: Fluency in Python, SQL, or similar languages, and experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet. Agile & DevSecOps: Familiarity with Agile methodologies and DevSecOps practices, including Git for version control. ...

model improvement, and performance tuning. Document code and workflows clearly; follow best practices for reproducibility and code quality. Requirements: Hands-on experience with machine learning, NLP, or information retrieval projects, preferably with language models. Proficiency in Python and familiarity with deep learning/NLP libraries (Langchain, PyTorch ...

model improvement, and performance tuning. Document code and workflows clearly; follow best practices for reproducibility and code quality. Requirements: Hands-on experience with machine learning, NLP, or information retrieval projects, preferably with language models. Proficiency in Python and familiarity with deep learning/NLP libraries (Langchain, PyTorch ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such … Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable assets, solutions ...

Join an innovative AI cybersecurity startup based in London that's tackling cutting-edge challenges in large language models (LLMs) and machine learning security. Following a successful Series A funding round, they're expanding their team and looking for a talented ML Scientist to help shape the future … working in a hybrid environment alongside accomplished ML scientists with publications at top-tier conferences. Experience Required MSc or PhD in Computer Science, Machine Learning, or a related discipline Strong hands-on experience with transformer-based models/LLMs Proficiency in Python and deep learning frameworks (e.g. ...

Join an innovative AI cybersecurity startup based in London that’s tackling cutting-edge challenges in large language models (LLMs) and machine learning security. Following a successful Series A funding round, they’re expanding their team and looking for a talented ML Scientist to help shape the future … working in a hybrid environment alongside accomplished ML scientists with publications at top-tier conferences. Experience Required MSc or PhD in Computer Science, Machine Learning, or a related discipline Strong hands-on experience with transformer-based models/LLMs Proficiency in Python and deep learning frameworks (e.g. ...