51 to 75 of 331 Deep Learning Jobs in London

EngineeringRemote , London,United KingdomCardiff,United KingdomEdinburgh,United Kingdom We are looking for a passionate AI Engineer specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As part of this role, you will work with experienced team members and product managers … design, test, and implement machine learning solutions. Through Meltwater's innovative social listening platform, we ensure our clients never miss any mention of their brand or essential topics across various platforms, automating the entire social listening process. Partner with us and be part of a diverse community that values ...

United Kingdom | Posted on 06/08/2026 Hybrid working from home and Central London Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies. As part of their audio technology research team … responsible for: Carrying out research on deep learning audio Evaluating and testing AI and ML models Implementing and training models Model research, implementation, training, evaluation and inference Writing reports and research papers With several products already on the market and thousands of users, this is a great time ...

days per week on site) Duration: 3 Year (to Oct 2029) Type: Contract (Inside IR35) The Opportunity We are seeking an experienced Machine Learning Engineer to join a large-scale technology programme focused on delivering highly personalised user experiences through cutting-edge Machine Learning solutions. This … exciting opportunity to work on recommendation systems, ranking algorithms, audience segmentation, and content personalisation at scale. You will be responsible for the full machine learning lifecycle, from model development and experimentation through to deployment and optimisation in production environments. Key Responsibilities Design, develop, and optimise machine learning models ...

which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. Role: At Depop, machine learning is integral to building a safe and trusted marketplace. As a Senior Machine Learning Scientist in the Trust Detection team, you will … design, development, and evolution of machine learning systems that detect and prevent harmful or policy-violating content across the platform. You will work on high-impact trust, safety, and fraud problems such as phishing prevention, counterfeit detection, and identifying prohibited or restricted listings. This role requires operating in ambiguous ...

team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment. We are seeking a Machine Learning Team Lead with strong expertise in search and recommendation systems. In this role, you will lead a team of algorithm engineers, driving the design … seller creation. Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‐world challenges. Location: Work onsite in London. Minimum Qualifications ...

influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer … generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers ...

search, information extraction, question answering, personalisation, classification, recommendation or forecasting. Advanced python programming skills with experience writing production quality code using ML libraries and deep learning frameworks. Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex concepts and results to both technical and business audiences. Preferred qualifications, capabilities, and skills Strong analytical skills with an understanding of financial markets and asset management line of business Strong ...

Pipelines, Production Deployment Role Opportunity This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy …/B testing and experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment ...

Pipelines, Production Deployment Role Opportunity This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy …/B testing and experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment ...

Pipelines, Production Deployment Role Opportunity This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy …/B testing and experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment ...

grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Senior Machine Learning Scientist - Search Marketing & Tech We’re looking for a Senior Machine Learning Scientist to provide technical leadership within our Search Marketing & Tech organization … outline objectives, constraints and trade-offs for complex ML systems Model Development & Production Design and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimization algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation ...

dedicated to supporting the advancement science and technology in an innovative environment, we encourage you to apply! Role Overview We are seeking a Machine Learning Engineer to advance data-processing and model-building and deployment capabilities at Bind. This role includes developing new machine-learning models for highly … these models internally and externally, contributing to open-source software, and large-scale data analysis, curation, and pipeline building. Key Responsibilities Develop innovative machine learning approaches to elucidate and quantify the interactions between small molecules and intrinsically disordered proteins Integrate molecular simulations and deep learning approaches using ...

Location: London - hybridWe Are:RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel.Founded … House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global ...

House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012 and now operating in 90+ … House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions. … requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine learning lifecycle. The successful candidate will be responsible for building, training and deploying machine learning models for end users, while also investigating, preparing and transforming ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions. … requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine learning lifecycle. The successful candidate will be responsible for building, training and deploying machine learning models for end users, while also investigating, preparing and transforming ...

subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. As our new Senior Machine Learning Scientist you'll be joining the Tripadvisor Experiences R&D Team. This team is evolving the world's leading marketplace for travel experiences. … RoleYou'll serve as a key technical lead and pod architect within our core discovery engine. You will independently own and execute the machine learning strategy for major product capabilities—such as Search, Retrieval, Ranking, or Content AI—that power how millions of users discover and plan their travel ...

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 ...

integrate into Anaplan Applications, translating raw customer data into automated, high-value business insights. Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines … Science, successfully building and deploying systems from prototype to production in a fast-paced environment.Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. Experience developing production-grade Python code: High proficiency in Python, Pandas, and modern software practices (testing ...

integrate into Anaplan Applications, translating raw customer data into automated, high-value business insights. Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines … successfully building and deploying systems from prototype to production in a fast-paced environment. Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. Experience developing production-grade Python code: High proficiency in Python, Pandas, and modern software practices (testing ...

team know if you need any adjustments throughout the process in whatever way works best for you.Job DescriptionWe’re looking for a Senior Machine Learning Engineer to join our cross‐functional Personalisation team. In this role, you’ll help design, build and run machine learning systems that enable … current fashion trends.This is a senior individual contributor role where you’ll work closely with engineers, data scientists and product partners to productionise machine learning at scale. Our mission is to continuously improve the customer experience through thoughtful, responsible and high‐impact use of machine learning.What ...

professional services and technology consultancy. YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full … solution lifecycle assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical ...

design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations … agentic coding workflows. Advisory & Strategy: Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI. Continuous Learning: Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI. ...

agentic coding workflows. Advisory & Strategy: Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI. Continuous Learning: Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI. … serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare Insurance ...

translate research insights into execution- and latency-aware designs. This is a research-forward role. We are seeking a quantitative researcher with deep expertise in market microstructure and high- to medium-to-high-frequency trading to drive research on how electronic markets behave at fine time scales … regime-specific artifacts. Preferred Qualifications, Capabilities, and Skills Experience independently owning a strategy, managing a trading book, or leading a quantitative research workstream. Deep expertise in one or more areas: high-frequency market making, short-horizon alpha, execution research, multi-venue routing/optimization, or microstructure modeling. Experience across ...