151 to 175 of 255 Deep Learning Jobs

Role Overview:We are seeking a Senior Data Scientist to join us on a permanent basis. You will apply advanced analytical, statistical, and machine‐learning techniques to support major UK Government programmes and the wider enterprise, working across multidisciplinary teams throughout the UK.You will collaborate with delivery managers, engineers … shape the analytical capability within one of the strongest teams in the business.Your Responsibilities Will Include:Designing, developing, and validating statistical models and machine‐learning solutionsConducting exploratory data analysis and feature engineering to uncover insights and support decision‐makingWorking closely with data engineers to ensure high‐quality, scalable data ...

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 ...

team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank.As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilitiesBuild robust Data Science capabilities which can be scaled across multiple business use casesCollaborate with software engineering team to design ...

making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. … errors and provide solutions to problemsPresent results to collaborators and leadershipMinimum QualificationsBSc or MSc in Computer Science, or equivalent industry experience3+ years of machine learning experienceExperience working in research or experimental environments with evolving requirementsProficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)Experience with computational ...

Data Scientist/Machine Learning EngineerLocation: UK (remote-friendly)Salary: £55,000 – £60,000 + benefitsReports to: Chief Technology OfficerAbout the RoleWe’re looking for a Data Scientist/Machine Learning Engineer to help design and develop the next generation of AI-powered tools within a global SaaS … platform used by nonprofit organisations worldwide.In this role, you’ll take a hands-on approach to building and deploying machine learning models, working with large datasets to generate insights and predictions that drive real-world outcomes. You’ll also help shape the organisation’s machine learning roadmap ...

team values trust, respect, collaboration, agility, and quality.About the RoleIn this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation …/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience.Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems.Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic ...

Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products … translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models ...

Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products … translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models ...

Practice at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large ...

Machine Learning & AI Materials Scientist, you will be a part of Dassault Systèmes Gen7 vision and actively contribute towards its implementation. Materials AI is a strategically important, rapidly growing, and evolving core technology that will underpin the future of all Dassault Systèmes brands materials-related products and services. Gen7 … openness, innovation, quality, and continuous improvement. Qualifications• PhD or Master in materials science, chemistry, mathematics, computer science or related fields. • Practical experience with deep learning and machine learning algorithms and the use of popular AI/ML frameworks. • Experience in coding (web, cloud, algorithms, industry processes...). ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred.Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred.Kubernetes: CKA or CKAD — preferred.TOGAF 9/… equivalent demonstrable experience.Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth.Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals.Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure, Platform & GovernancePractice ...

Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models ...

Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.Desirable Experience:BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.Familiarity with Workday APIs, data structures, and integration patterns.Experience designing and implementing generative AI solutions using large language models ...

Engineer within the Workday Practice at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday product offerings. Your … requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large ...

high-quality demand forecasts for a growing range of use cases, including AI-powered Pricing and Supply Chain Optimisation. This means solving complex machine learning challenges while developing reusable forecasting capabilities that can be applied across multiple business domains.As a Senior Applied Scientist, you'll help shape the scientific … direction of our forecasting platform, leading the design of advanced machine learning solutions that combine statistical modelling, deep learning and multimodal AI to solve challenging forecasting problems. You'll work closely with ML Engineers, data engineers, analysts, product managers and business stakeholders to translate research into production ...

Reasoning Group is building the next generation of software verification tools combining advances in artificial intelligence, the computational capacity of the cloud, and our deep expertise in the domain. Join us if you want to be a part of this transformational endeavor.The Strata team (https://github.com/… agents operate within defined safety boundaries. Basic qualifications- Master's degree- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience in building machine learning models for business application- Experience in applied researchPreferred qualification - Experience with modeling ...

part of something bigger. As an Associate AI Engineer within Kainos' Workday Products division , you will support the team in productionising AI and machine learning solutions, working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work closely with … roles. Good interpersonal skills, with enthusiasm for collaborating with cross-functional teams and communicating technical ideas clearly. Desirable Experience: BSc in Computer Science, Machine Learning, Software Engineering, or a related field Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation. Familiarity with Workday APIs, data ...

part of something bigger.As an Associate AI Engineer within Kainos’ Workday Products division, you will support the team in productionising AI and machine learning solutions, working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work closely with data … roles. Good interpersonal skills, with enthusiasm for collaborating with cross-functional teams and communicating technical ideas clearly. Desirable Experience: BSc in Computer Science, Machine Learning, Software Engineering, or a related field Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation. Familiarity with Workday APIs, data ...

will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them … industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking … Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers ...

Expertise in an interdisciplinary field combining bioprocess engineering, automation, and process optimization . Application of modern robotics methods , such as: Stochastic and data-driven learning approaches Precise monitoring and control using microcontrollers (μC) Novel methods of image processing Research experience in one or more of the following areas: Machine … learning (e.g., deep learning) for process models Optimization of bioprocess development workflows across different scales (e.g., multi-fidelity Bayesian optimization) Teaching responsibilities in bachelor's and master's programs , including courses such as: Industrial Biotechnology Pharmaceutical Bioprocess Engineering Qualifications Demonstrated initial scientific achievements and capacity for independent ...

involves close collaboration with data scientists and cross-functional teams across the AI workflowfrom exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning … e.g., Qdrant), and MLOps tools (e.g., DVC) is highly valued. A strong understanding of responsible AI practices and a passion for experimentation and continuous learning are essential. Responsibilities: Design, prototype and implement AI models in collaboration with diverse teams. Collaborate with product managers, engineers and domain experts to align ...

What you will be doingWe are looking for an exceptional Principal Machine Learning Engineer to lead the engineering build-out of ML and agentic AI across our AML/KYC and Fraud platform. Our products use ML, LLMs and agentic systems to extract entities, risks and relationships from millions … emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customersAbout youAs a Principal Machine Learning Engineer with company-wide impact, you will bring:Substantial experience building, training and productionising machine learning models at scale, including modern deep ...

values-driven, globally focused tech company with strong financial backing and a bold vision for the future of work. We commit and dig deep, embracing challenges with grit, curiosity, and a drive for excellence. We foster a collaborative and inclusive work environment, where trust and determination bring us together. … reliability, personalization, and user impactProactively identify opportunities to automate, improve, and innovate within our chat-based ecosystemQualificationsBSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience5+ years of experience developing and deploying machine learning systems in productionProven expertise ...

working from home and our offices. Talk to us about how we can best support you!We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science ...