1 to 25 of 85 Deep Learning Jobs

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: UK\_London2posted on: Posted Todayjob requisition id: REQ25-1060**About InterDigital**InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (“AI”), and related technologies. We design and develop foundational technologies that enable connected … visual technologies. Our culture values technology expertise and an entrepreneurial mindset. Within R&I, the London Video Team is leading efforts in machine learning and deep learning to build the next generation of AI driven video compression models. We are seeking a machine learning engineer ...

Lead Deep Learning Researcher – Hedge Fund I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning … rare chance to take full ownership of the fund’s AI research strategy. You’ll have complete freedom to explore, design, and implement novel deep learning models to generate alpha across the fund. Working alongside world-class quants, you’ll define the long-term roadmap for deep ...

enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment combines … data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining and enriching ...

Family Group: Data Analytics & Reporting The role is hybrid based in our Chicago office. Job Description Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs … modeling needs and develop solutions that meet those needs. Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models. Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. Develops machine learning/ ...

positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum … lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression ...

base + benefits My consulting client seeks The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable … trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust ...

Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling … trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust ...

Engineer for our leading oil and gas client. The Senior AI Engineer is responsible for designing, developing, and deploying advanced AI and machine-learning solutions for enterprise-level clients. The ideal candidate will have a strong foundation in mathematics or computer science and a proven track record of delivering … development of impactful AI solutions. The engineer will work collaboratively across multidisciplinary teams, providing thought leadership in cutting-edge AI technologies, including deep learning, graph neural networks, generative AI, and retrieval augmented system. Required Skills and Experience: 5+ years of professional experience delivering advanced AI/ML solutions ...

overall performance metrics Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards Build robust and real … Required - Great velocity for building and shipping agents/AI products. Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies Optional - Demonstrated ability to do independent research ...

scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. What You'll Do: Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Partner with teleoperations to drive data collection: specify what “good” looks like … with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. Hands‐on with at least one of: LLMs ...

information provided by the products. Data science underpins all of this. You will be key in developing advanced solutions within data science and machine learning, using your experience of managing others to get the most out of your new team. You’ll inspire them to push boundaries and innovate … Python, SQL and R, in an AWS Serverless cloud environment. You’ll utilise object oriented programming, and package building, having also had exposure to deep learning and other ML based methodologies. The organisation work hybrid, with in person collaboration weekly to foster an innovative and inventive culture, bouncing ...

worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over … driven solutions across product, pricing, and internal workflows Apply LLMs and prompt engineering techniques to real-world business challenges Build and deploy machine learning/deep learning models , particularly within pricing and forecasting contexts Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant ...

centric AI solutions that drive real business impact. Gain hands‐on exposure to Generative AI and Agentic AI technologies. Grow your skills through continuous learning and innovation‐led projects. The Role As an AI Engineer , you will be part of a core team driving the development … initiatives as organisations accelerate their adoption of artificial intelligence across industries. You will collaborate with experienced engineers and data scientists, leveraging modern AI, machine learning, and Generative AI technologies to build scalable, production‐ready solutions while continuously learning and experimenting with emerging tools and approaches. Your responsibilities: Assist ...

Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years **UK based candidates only** - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python . … excited to move models from the lab into production. Key Responsibilities Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems. Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis ( EDA ), data cleaning, feature ...

Research Fellow – Machine Learning for Nanoscale Semiconductor Manufacturing Semiconductor fabrication is one of the most complex and precision-driven forms of manufacturing. At nanometre scales, even subtle variations in process conditions can introduce defects that degrade device performance, reduce yield, and drive up production costs. Addressing this challenge requires … modelling approaches that can capture the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning directly from experimental and process data, these models ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham 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 ...

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 ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham 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 ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London 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 DV Clearance for a prestigious … 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 ...

seeking a Machine Learning Engineer – Generative AI (3D & Real-Time Rendering) to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI systems for real-time photorealistic rendering and 3D applications. You will work at the intersection of deep learning … Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers). Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow). Advanced ...

authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production … Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology ...

delivery of scalable AI solutions across the organization. The role focuses on building and governing architecture for Generative AI, LLMs, and traditional machine learning systems, while defining best practices for MLOps, data pipelines, and AI system design. Required Qualifications Total 10+ years in software engineering/data science, with …/ML architecture roles Strong experience in AI/ML architecture and system design Strong experience with RAG (Retrieval-Augmented Generation) Expertise in machine learning, deep learning, and NLP Hands-on experience with LLMs/Generative AI (e.g., GPT, Llama) Proficiency in Python and frameworks such ...

About the teamJoin the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research sits at the intersection of AI Safety and Data-Centric AI. We aim to make large … data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team ...

Engineers and Data Scientists to take our AI-driven product to the next level using the latest techniques in Gen AI, AI agents, and deep learning. This is powered by our product, which combines Predictive and Generative AI to provide individualized insights and recommendations that improve the health … lifecycle of AI products, from ideation and prototyping to development, deployment, and optimization Apply advanced techniques like advanced Prompt Engineering, conversational AI agents, deep learning, and personalized recommendations to create "N of 1" solutions that adapt to individual needs Build and improve ML models to drive behavior change ...

Engineers and Data Scientists to take our AI-driven product to the next level using the latest techniques in Gen AI, AI agents, and deep learning. This is powered by our product, which combines Predictive and Generative AI to provide individualized insights and recommendations that improve the health … lifecycle of AI products, from ideation and prototyping to development, deployment, and optimization Apply advanced techniques like advanced Prompt Engineering, conversational AI agents, deep learning, and personalized recommendations to create "N of 1" solutions that adapt to individual needs Build and improve ML models to drive behavior change ...