251 to 275 of 505 Permanent Deep Learning Jobs

trust, respect, collaboration, agility, and quality. About the Role In 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 … information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent 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 workflows ...

trust, respect, collaboration, agility, and quality. About the Role In 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 … 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 workflows ...

agent Gemini capabilities. We deliver critical contributions to AI Grand Challenges (such as our gold medal-winning IMO 2025 effort), drive product innovations like 'deep think' mode and agentic inference scaling in antigravity, and lead its parent company-wide initiatives including AI for Science and Project Big Sleep. … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related ...

agent Gemini capabilities. We deliver critical contributions to AI Grand Challenges (such as our gold medal-winning IMO 2025 effort), drive product innovations like 'deep think' mode and agentic inference scaling in antigravity, and lead its parent company-wide initiatives including AI for Science and Project Big Sleep. … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related ...

forefront of AI innovation,trusted by Microsoft,AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data.We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner with leading … PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As aSeniorAI Engineer at our client, you will deliver advanced AI solutionsleveragingstate-of-the-artmachine learning,generativeand agenticAI technologies. You will drive the adoption of modern AI frameworks,AIOps best practicesand scalable cloud-native architectures. Your role will involve hands ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

# 25071 Job description Connect to your IndustryOur Audit and Assurance practice encompasses skills across regulation and finance with a deep analytics capability. We harness these to provide Assurance to those charged with governance, serving the public interest. Working in Assurance means you will have an opportunity to work … hiring of focused, aspirational, and collaborative practitioners, and as such we are offering the opportunity to join as a Data Science and Machine Learning Manager to support this challenging and rapidly expanding business. Deloitte offers a unique career opportunity in a supportive, challenging, and fast-growth environment.The successful candidate ...

work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems. Perform data analysis and data collection processes that effectively support these services. … capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative field. Communication – Strong verbal and written ...

services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed … research feed analytics; exposure to computer vision or multi-modal document processing (OCR, layout-aware extraction) is a plus. Familiarity with AWS machine learning services such as Amazon Bedrock with EKS-based deployment. Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning ...

seeking an AI Engineer for Autonomy to design, develop and deliver advanced Artificial Intelligence and Machine Learning solutions within complex and safety-critical environments. Working within a multidisciplinary AI and software engineering team, you will transform business and operational challenges into robust, scalable and secure AI capabilities. This role … technology programmes. KEY RESPONSIBILITIES: Translate business and operational requirements into AI solution designs and measurable outcomes. Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics. Design and maintain robust data processing, training and evaluation pipelines. Apply ...

goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E2. Experience in machine learning and AI, including experience in machine learning software development. E3. Experience in training deep learning models relevant in research projects. E4. Experience … goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E6. Substantial experience in machine learning and AI, including experience in machine learning software development. E7. Evidence of high-quality publications commensurate with career stage. E8. Experience of collaborating with ...

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 ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning … composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities ...

markets around the world. Задачи: Build scalable Data Science capabilities for multiple business use cases Collaborate with software engineers to design and deploy Machine Learning services integrated with strategic systems Research and analyse datasets using statistical and machine learning techniques Communicate AI capabilities and results to technical … quantitative discipline, such as Computer Science, Mathematics, or Statistics Solid understanding of statistics, optimization, and ML theory, with familiarity with deep learning architectures such as transformers, CNNs, and autoencoders Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling for versioning, reproducibility, and observability Experience monitoring ...

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 … 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 ...

Machine Learning Engineer (All Levels) Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Greg Daly Compensation: £50,000 - £95,000/year Description We’re building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise … useful AI into the hands of users. Our ML team works end-to-end, from R&D to deployment, across traditional ML, deep learning, data engineering, foundation models and LLM/agentic systems. We are now hiring across a broad range of ML skills, including model training, evaluation ...

ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges … whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing ...

right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

Machine Learning Engineer - Spiking Neural NetworksSalary: 75,000 to 100,000Location: West LondonWorking arrangement: Predominantly office and customer-site based, with some remote working availableEmployment: Permanent, full-timeMFK 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 to this company over ...

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 ...

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 ...

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 ...

scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within … related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Master’s degree or Postgraduate (preferred) qualification from ...

Working within the wider research strategy and architectural vision set by the Senior Staff AI Scientist, you will own significant research programmes and bring deep specialist expertise across AI-driven life sciences, growing your influence over the team’s broader research agenda over time. This is a hands … contribute to the development of more junior AI Scientists. KEY RESPONSIBILITIES Own and lead significant research workstreams in multimodal biomedical foundation model design, bringing deep specialist expertise across at least two biomedical data modalities from multi-omics, clinical and health records, medical imaging. Develop and validate novel approaches ...