101 to 125 of 1,202 Deep Learning Jobs

by using state of the art AI and Machine Learning. If you are a solid coder with hands on experience of developing AI agentic solutions, good understanding of modern deep learning, strong AWS skills, and a voracious learner then you could be a fantastic fit for our team. Talent with ambition to grow into a role will be … complex AI agents, communication architectures for agents, and developing automated techniques for designing and evaluating agentic systems. On top of AI agentic systems, this role will also oversee traditional deep learning model development from design, training, evaluating to deployment, with a focusing on fine turn LLMs. The role will interact with product, design, engineering, MLops, and domain experts … evaluate different tools for agents (e.g., search, memory, context compression, communication architectures for agents). Design specialized agent/LLM observability pipelines for prototypes and production systems. Develop bespoke deep learning models, from model design, training, testing all the way to deployment. Fine tune LLM. Mentor and develop the technical capabilities of the AI team, fostering a culture More ❯

require collaboration with local and global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. Key job responsibilities • Scoping, driving and delivering complex projects across multiple teams. • Performs root cause analysis by … validate it using data. • Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. • Developing and implementing machine learning models and deep learning architectures to improve NLP systems. • Collaborate with seasoned Applied Scientists and propose best in class LLM solutions for business requirements • Dive deep … mechanisms. BASIC QUALIFICATIONS - • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but More ❯

Job ID: 2916032 | AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities … build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, assist them in the implementation of generative AI solutions, deliver briefing and deep dive sessions, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical … experience and 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data More ❯

About the Role: We’re looking for a seasoned and inventive Senior Data Scientist to help design and deploy advanced machine learning systems that drive intelligent features in complex real-world domains. In this role, you’ll lead the development of end-to-end ML pipelines, shape internal modeling strategies, and accelerate the delivery of AI-powered capabilities to … with product, engineering, and data teams to prototype, evaluate, and implement solutions grounded in rigorous experimentation and practical impact. Key Responsibilities: ML & AI Development: Research, build, and deploy machine learning models (including generative AI) focused on structured data, NLP, and time series forecasting. Model Lifecycle Ownership: Own models from experimentation to deployment, including validation, monitoring, and iteration. Generative AI … Contribute to architecture and tooling decisions; mentor junior team members and champion best practices in data science and ML engineering. Requirements: ML Expertise: 5+ years of experience in machine learning, data science, or applied AI; strong grasp of supervised/unsupervised learning, deep learning, and probabilistic modeling. NLP & LLM Skills: Hands-on experience with NLP pipelines More ❯

impactful. The Opportunity As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate … analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT … quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field More ❯

impactful. The Opportunity As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate … analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT … quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field More ❯

Align with our industry partners to 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 new and 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 methods. Communicate and provide guidance to senior client leadership and teams. Contribute … Develop others by bringing your unique knowledge and skillsets to the wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies More ❯

looking for a mission-driven Data Scientist to join our team supporting high-impact initiatives in the Defence and National Security sector. You will apply advanced analytical techniques, machine learning, and statistical modelling to solve complex operational challenges. Working within a secure, multidisciplinary environment, you'll help deliver data-driven insights to support decision-making, threat detection, intelligence analysis … and national defence strategies. Key Responsibilities Develop and deploy data models, machine learning algorithms, and statistical analyses to support defence and national security operations. Work with structured and unstructured data from diverse sources such as sensors, ISR feeds, satellite imagery, communications, cyber threat logs, and intelligence reports. Collaborate with domain experts, analysts, and engineers to understand mission needs and … via clear visualisations and reports. Ensure compliance with data handling, classification, and ethical use policies in a high-security environment. Stay up to date with emerging technologies in AI, deep learning, and data analytics relevant to the defence sector. Skills and Qualifications Essential: Proven experience as a Data Scientist, ideally in defence, intelligence, law enforcement, or government. Active More ❯

Kingdom Date Posted: Jun 16, 2025 Category: Engineering What We're Looking For: We are looking for a passionate Data Scientist specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and … implement machine learning solutions. Through Meltwater's innovative social listening platform, we ensure our clients never miss any mention of their brand or essential topics across various platforms, automating the entire social listening process. Partner with us and be part of a diverse community that values your unique contributions, empowering you to reach new heights. Join us in crafting … something extraordinary. What You’ll Do: Contribute to the development of scalable algorithms for processing large datasets, implement and evaluate machine learning and deep learning algorithms for tasks such as text classification, sentiment analysis, entity recognition, and summarization. Assist in the design, development, and testing of ML models for real-time processing of unstructured data. Collaborate with More ❯

offer our customers every day 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 best talent to help us … their expertise to train and 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 problem into POCs, MVPs, or … fully-fledged solutions 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 in building and implementing data science and More ❯

AI/ML algorithms and technologies. ● Collaborate with data scientists to prepare and engineer high-quality datasets for model training and evaluation. ● Develop and maintain robust and scalable machine learning pipelines. ● Conduct rigorous model validation and performance monitoring. ● Ensure the ethical and responsible use of AI/ML technologies. ● Stay abreast of the latest advancements in AI/ML … experience in AI/ML engineering. ● Proven experience in working with financial data and developing AI/ML solutions for financial services applications. ● Expertise in Python and common machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). ● Strong understanding of data engineering principles and best practices. ● Excellent collaboration skills. ● Experience with cloud platforms such as AWS, Azure, or GCP. … Experience with Agile development methodologies. ● A strong understanding of ethical considerations in AI/ML. Preferred Qualifications: ○ Experience with deep learning and natural language processing. ○ Experience with MLOps and DevOps practices. ○ Experience with financial regulations and compliance requirements. ○ Degree in Computer Science, Data Science, or a related field. More ❯

AI/ML algorithms and technologies. ● Collaborate with data scientists to prepare and engineer high-quality datasets for model training and evaluation. ● Develop and maintain robust and scalable machine learning pipelines. ● Conduct rigorous model validation and performance monitoring. ● Ensure the ethical and responsible use of AI/ML technologies. ● Stay abreast of the latest advancements in AI/ML … experience in AI/ML engineering. ● Proven experience in working with financial data and developing AI/ML solutions for financial services applications. ● Expertise in Python and common machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). ● Strong understanding of data engineering principles and best practices. ● Excellent collaboration skills. ● Experience with cloud platforms such as AWS, Azure, or GCP. … Experience with Agile development methodologies. ● A strong understanding of ethical considerations in AI/ML. Preferred Qualifications: ○ Experience with deep learning and natural language processing. ○ Experience with MLOps and DevOps practices. ○ Experience with financial regulations and compliance requirements. ○ Degree in Computer Science, Data Science, or a related field. More ❯

DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry … ML systems to address real-world challenges Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously More ❯

Job ID: AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for … ML systems to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

your skills and experience — talk with your recruiter to learn more. We’re looking for a seasoned and inventive Senior Data Scientist to help design and deploy advanced machine learning systems that drive intelligent features in complex real-world domains. In this role, you’ll lead the development of end-to-end ML pipelines, shape internal modeling strategies, and … with product, engineering, and data teams to prototype, evaluate, and implement solutions grounded in rigorous experimentation and practical impact. Key Responsibilities: ML & AI Development: Research, build, and deploy machine learning models (including generative AI) focused on structured data, NLP, and time series forecasting. Model Lifecycle Ownership: Own models from experimentation to deployment, including validation, monitoring, and iteration. Generative AI … Contribute to architecture and tooling decisions; mentor junior team members and champion best practices in data science and ML engineering. Requirements: ML Expertise: 5+ years of experience in machine learning, data science, or applied AI; strong grasp of supervised/unsupervised learning, deep learning, and probabilistic modeling. NLP & LLM Skills: Hands-on experience with NLP pipelines More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

deliver life-changing science to solve some of humanity's greatest challenges. We seek a Senior or Principal Data Scientist to deliver a project at the intersection of machine learning and biology at Wellcome Sanger Institute. The position is for a two year fixed term contract working on a project funded by Open Targets within Mo Lotfollahi's team … understanding of the training of large-scale ML models and a track record of undertaking large data-science projects. What you'll be doing: Independently manage and lead machine learning projects and write outcomes in a scientific publication for submission to journals or machine learning conferences (ICLR, ICML, CVPR, etc). Be responsible for the design of machine … learning tools according to requirements specified by the scientific leadership of the group. To communicate the results through other relevant means, for example, presenting posters at international scientific meetings and meetings with collaborators Collaborate with team members to propose, develop, and evaluate new machine learning models that enable understanding single-cell data and its application in drug discovery More ❯

deliver life-changing science to solve some of humanity’s greatest challenges. We seek a Senior or Principal Data Scientist to deliver a project at the intersection of machine learning and biology at Wellcome Sanger Institute. The position is for a two year fixed term contract working on a project funded by Open Targets within Mo Lotfollahi's team … understanding of the training of large-scale ML models and a track record of undertaking large data-science projects. What you'll be doing: Independently manage and lead machine learning projects and write outcomes in a scientific publication for submission to journals or machine learning conferences (ICLR, ICML, CVPR, etc). Be responsible for the design of machine … learning tools according to requirements specified by the scientific leadership of the group. To communicate the results through other relevant means, for example, presenting posters at international scientific meetings and meetings with collaborators Collaborate with team members to propose, develop, and evaluate new machine learning models that enable understanding single-cell data and its application in drug discovery More ❯

innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day you will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. Youll collect … Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector … Work with cross-functional team and partners to develop/enhance and package AI offerings and assets for customer-facing discussions In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.) Good knowledge of AI frameworks, tools, and platform such as TensorFlow More ❯

day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your … development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are … mental health, and vision coverage for you, your spouse/partner, and children. Your Impact Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. More ❯

reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value … their research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. - Collaborate … expanding our remit to consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning More ❯

required. Recent work experience in a healthcare/life science organization is considered an asset. Other skills we are searching for are: Programming Skills: Proficiency in Python, data analytics, deep learning (Scikit-learn, Pandas, PyTorch, Jupyter, pipelines), and practical knowledge of data tools like Databricks, Ray, Vector Databases, Kubernetes, and workflow scheduling tools such as Apache Airflow, Dagster … premises and on cloud platforms, and experience in building end-to-end scalable ML infrastructure with on-premise DGX or cloud platforms including AWS EKS/SageMaker, Azure Machine Learning/AKS, or common ML platforms (ClearML, MLflow, Weights and Biases). Cloud & Automation: Strong understanding of AWS, Azure, containerization/Kubernetes, multiple automation/DevOps, and ML lifecycle … tuning, pretraining, continued pretraining, inference, RAG, and building multi-agent workflows using Llamaindex, Langchain, LangGraph, vector databases, etc.). Production-Grade Models: Significant expertise in building production-grade machine learning models in industry and/or academic research settings, building, training, and deploying ML. About the Department The position is connected to our DDIT-R&ED UK department located More ❯

Social network you want to login/join with: Machine Learning Engineer - Generative AI, london col-narrow-left Client: Qubit Analytics Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Company Description We are a startup building next-generation real-time … image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative … and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work on some More ❯

Social network you want to login/join with: Machine Learning Engineer - Generative AI, slough col-narrow-left Client: Qubit Analytics Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Company Description We are a startup building next-generation real-time … image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative … and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work on some More ❯