1 to 25 of 86 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 ...

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI-native data system that bring clarity and credibility … world environmental challenges, helping organisations make high-impact decisions around risk, resilience and commercial performance This is the chance to join as a Machine Learning Engineer working with a climate-tech scale-up applying cutting-edge Machine Learning to satellite data, weather models and environmental signals, reshaping ...

fine-tuning. Build pre-trained base models based on massive industrial data, and explore the integrated application of large-scale models with traditional deep learning and reinforcement learning. Explore cutting-edge technologies such as RLHF and model distillation, track the latest developments in the field of large-scale … development tasks. Experience in large model-related development, including but not limited to: data cleaning, open-source model fine-tuning, training framework development, reinforcement learning, evaluation, and inference deployment. Familiar with machine learning principles and algorithms. possesses a deep understanding and practical experience with deep learning ...

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 ...

devices and working with limited hardware resources. Key job responsibilities We are looking for an Applied Scientist with experience in building highly optimized Machine Learning models for speech generation. As an Applied Scientist, you will: - Work with the team on end-to-end development of an ML models … innovative research in areas such as Speech Generation, Gen AI, model compression, and knowledge distillation - Invent optimization techniques to push the boundaries of deep learning model training and inference - Create and propose detailed theoretical specifications for novel research ideas and directions, and rigorously justify their correctness - Train custom ...

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 ...

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client … Details Machine Learning Engineer - London This opportunity is with a medium-sized organisation in the technology industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses ...

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 ...

GenAI/ML services while helping organizations achieve their innovation and transformation goals through GenAI/ML architectures. This role requires technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AGS organization, SSAs work with customers who have complex requirements … that require expert-level knowledge to solve. You must have deep technical expertise in Generative AI and Machine Learning services, enterprise-grade architectural strategies, and a passion for solving complex business challenges. We are looking for technical experts who can bridge the gap between innovative AI technologies ...

recruiter directly. At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This … ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat. About the Role To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with ...

works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career … understanding, behavior prediction, and planning models. Day to day responsibilities include: Designing and executing high value experiments based on collaborative input from other machine learning engineers Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities Timely release ...

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 ...

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 ...

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 ...

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 ...

contact the recruiter directly. DESCRIPTION: Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods … internships. BASIC QUALIFICATIONS: - Experience programming in Java, C++, Python or related language - Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields PREFERRED QUALIFICATIONS: - Have publications at top-tier peer-reviewed conferences or journals - Experience in designing experiments ...

This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta … deliver joint messaging and GTM plans. You also have experience creating compelling product and product‐related thought leadership content to support customers on their learning journey and for Growth/Demand marketing to use for audience, use case, or vertical‐specific campaigns. 5+ years of product marketing experience ...

fast-growing AI startup building an agentic, real-time decision engine that optimises customer interactions for measurable profit. Our platform blends advanced machine learning, deep learning, and reinforcement optimisation to decide the best action, message, or offer for every customer, automatically and at scale. We operate where ...

Quant Developer — C++/Python (Backtesting & Research Production) London | Full-time | On-site Systematic prop firm combining deep learning and quantitative research to trade global markets. Small, technical team — every hire directly impacts strategy and P&L. The Role Translate Python research into production C++. Build and optimise … C++ in quant finance or data-intensive environments Comfortable with Python for analysis and tooling Builder mindset - ship fast, iterate, own problems Why Here Deep learning meets systematic trading Small team, high autonomy, visible impact from day one Ideas move from concept to live trading quickly All applications ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber … Kainos, you will be accountable for the successful delivery of large-scale, high-impact AI solutions that leverage state-of-the- art machine learning, generative, and agentic AI technologies. You will help set the direction for AI and data science across the business, driving the adoption of modern ...

Title: Senior Machine Learning Engineer (Bio/AI) Location: Near London (Hybrid, 3 days onsite) Salary: £95,000 – £150,000 Company: Stealth Biotech Startup (Series A) About the Company This venture-backed biotech startup is developing AI-driven platforms to transform drug discovery and precision medicine. Operating across machine … learning and experimental biology, they are focused on extracting meaningful insights from complex biological systems to accelerate therapeutic development across areas such as oncology and rare diseases. With strong early funding and a growing multidisciplinary team, they are now scaling both their technical platform and engineering capability. The Role ...