1 to 25 of 37 Deep Learning Jobs in London

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 ...

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 ...

Large - Scale Enterprise Client s across Europe. You'll advise stakeholders on complex AI Implementations & Design the Data Pipelines that actually make Generative AI & Deep Learning Frameworks work in the real world. Note : This is a Europe-Based role. You Must be Fluent in English . Bonus Points … speak both English & Spanish to work directly with Local Stakeholders. Who Should Apply: The ML Ops Veteran: Excellent Hands-On Experience building Distributed Machine Learning Pipelines & Production ML Systems at an Enterprise Scale. The Client-Facing Engineer: You're just as comfortable explaining complex ML Architectures ...

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 page is loaded## Machine Learning Engineerlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R0043783is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people … root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We're looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!What you’ll do:* Develop ML-products and AI Lenses that serve millions ...

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 ...

/AI Software Engineer A brilliant opportunity for a Machine Learning-focused Software Engineer with experience in AI, Audio, and Computer Vision to join an incredibly exciting start-up in London, which is currently in stealth mode, developing pioneering technology in the security and media analysis space. Joining …/ML Software Engineer Exciting early-stage development of prototyping products within a growing R&D team Design and development of Machine Learning/Artificial Intelligence/Computer Vision-related video & audio software Work with generative AI tools and contribute to prompt engineering for intelligent media processing Collaborate with ...

including key responsibilities and accountabilities, alongside the organisational structure and person specification in the attached Job Description and other supporting documents. Person Specification Knowledge Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised … learning, deep learning, etc.) and their applications in healthcare. Strong understanding of data privacy, security, and ethical considerations in AI. This is crucial for ensuring responsible AI development and deployment within a sensitive healthcare context Qualifications Educated to Masters level or equivalent level within a technical field ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part … headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over ...

personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. … Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. ...

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 ...

Machine Learning/Data Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With … sales from sustainable products, this is a company that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal ...

therapies to treat some of life’s most devastating diseases. It leverages single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, the company embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis … while also advancing its internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, the partnership underscores the company’s commitment to pioneering science and delivering impactful therapies to patients. The company is rapidly scaling its technology and discovery teams, creating ...

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 ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. … looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept ...

embedding, Vector database technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.**About the Role**As a **Senior Principal Data Scientist**, you will contribute deep technical expertise while helping shape best practices across … apply advanced analytics to real‐world problems.### **Responsibilities:*** **Technical Leadership** Act as the go-to expert for **state-of-the-art** advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging ...

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 … 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 ...

such as transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring … continuous improvement lifecycles. Experience developing and integrating APIs, particularly for serving machine learning models. Experience building enterprise-integrated solutions that deliver end-to-end capabilities and the ability to recommend appropriate architectural approaches based on use case requirements. To apply for this role please submit your CV or contact ...

global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs … Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack … Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building ...

Master’s in Computer Science, Mathematics or related field Strong computer vision expertise and experience fine-tuning state-of-the-art models Deep learning experience (e.g. PyTorch , CUDA, model optimisation for training and inference) Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring) Solid understanding ...