401 to 425 of 1,891 Machine Learning Jobs in London

You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key … job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions … AI and hands-on experience of building applications with large foundation models. - Proven knowledge of AWS platform and tools. - Hands-on experience of building ML solutions on AWS. - High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Posted: March More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation … model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation … model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An More ❯

data scientists, and business stakeholders to ensure AI initiatives are aligned with strategic objectives. Key Responsibilities Lead the architectural design of advanced AI and machine learning solutions for enterprise clients Define AI roadmaps, frameworks, and reference architectures in line with business goals Collaborate with technical and non-technical … engineering and data science teams Stay current with industry developments and bring forward innovative ideas and approaches Experience Required Strong experience in AI/ML solution architecture within large-scale, complex environments Hands-on expertise with machine learning, deep learning, NLP, computer vision, and/or large … impact projects that influence entire industries. Youll join a collaborative, forward-thinking team with access to cutting-edge technologies, robust support structures, and continuous learning opportunities. Would this role be of interest? If so, please send me a copy of your CV ASAP. JOB REF More ❯

them in their day-to-day tasks. Responsibilities: Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills … Skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning More ❯

disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. … You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform … system robustness and cost efficiency. Key skills and experience: ** Prior Senior Data Scientist with Machine Learning experience ** Strong understanding and experience with ML models and ML observability tools ** Strong Python and SQL experience ** Spark/Apache Airflow ** ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) ** Experience More ❯

London) Limited - C26 The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior … best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯

Full Time DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior … best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯

Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As an Applied … across multiple global teams in the devices group. BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯

Senior Machine Learning Engineer About the Role Are you ready to redefine how logistics operates in a rapidly evolving world? HUG is proud to be collaborating with an innovative start up that’s revolutionising delivery through smarter, more sustainable solutions. Their mission is to create systems that benefit … recent funding secured and ambitious growth plans underway, there’s never been a more exciting time to come on board. Responsibilities Develop and deploy ML models for various logistics applications. Engineer features and set up ML infrastructure. Collaborate with wider technology and operations teams. Spend time in the field to … understand technology impact. Requirements 2+ years experience deploying ML models in production. 4+ years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible hybrid More ❯

Senior Machine Learning Engineer About the Role Are you ready to redefine how logistics operates in a rapidly evolving world? HUG is proud to be collaborating with an innovative start up that’s revolutionising delivery through smarter, more sustainable solutions. Their mission is to create systems that benefit … recent funding secured and ambitious growth plans underway, there’s never been a more exciting time to come on board. Responsibilities Develop and deploy ML models for various logistics applications. Engineer features and set up ML infrastructure. Collaborate with wider technology and operations teams. Spend time in the field to … understand technology impact. Requirements 2+ years experience deploying ML models in production. 4+ years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible hybrid More ❯

Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As an Applied … across multiple global teams in the devices group. BASIC QUALIFICATIONS - PhD - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business applications - Experience in applied research PREFERRED QUALIFICATIONS - Experience More ❯

big data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS Strong experience in building large scale machine learning or deep learning models and in Generative AI model development. Experience in data and machine learning engineering and cloud … Experience with software development life cycle (sdlc) and agile/iterative methodologies. Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

edge devices, enabling large-scale data collection, experimentation, validation, and autonomy in a fleet of vehicles. You will design the software architecture to integrate machine learning-based autonomous driving (AD) solutions into L2-L3 automotive systems, ensuring high reliability, performance, and compliance with safety standards. This is a … managing requirements, risks, milestones, and dependencies, with a strong emphasis on safety and compliance. Software Architecture Design: Develop and implement software architectures to integrate ML-based AD solutions into L2-L3 automotive applications, ensuring seamless integration with OEM environments and sensor systems. Collaborative Development: Work closely with machine learning … background in developing software for Linux, QNX, or other automotive embedded operating systems. Autonomous Driving Knowledge: Experience in L2-L3 ADAS applications and integrating ML-based AD solutions into automotive systems. Work Location & Environment: This is a full-time, London-based role with a hybrid working policy, offering flexibility between More ❯

Lake) and EMR/Spark processing layer using Airflow as orchestrator. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioural events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop big data pipelines. Key … and deliver them on time. - Strong communication skills and the ability to interact with senior leadership and cross-functional teams. PREFERRED QUALIFICATIONS - Experience with machine learning pipelines and integrating machine learning models into data workflows. - Expertise in data governance, security, and privacy practices. - Familiarity with agile More ❯

brackets), so we are not expecting candidates to be experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R … wait for your email authorisation before we send your CV to this organisation. Deerfoot IT: Est. 1997. REC member. ISO certified. Tagged as: Industry , Machine Learning , United Kingdom More ❯

global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply advanced Generative AI algorithms to solve real world problems with significant impact? The Generative … GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientist and architects to Research, design, develop, and evaluate advanced generative AI algorithms to address real-world challenges. Interact with customers directly to understand the … Proven knowledge of AWS platform and tools - PhD degree in Computer Science, or related technical, math, or scientific field - Hands-on experience of building ML solutions on AWS Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯

hand man' to work alongside the Head of Data Science to drive the company vision. ROLE: Lead the design, development and deployment of various ML and AI based models Work across a wide range of business problems to implement state of the art AI systems such as LLM's, GenAI. … Also work with traditional ML use cases (churn, forecasting etc) to drive business impact. Mentor and guide junior members of the team. Stay up to date with the cutting edge of ML and AI. Collaborate with cross functional teams to implement complex ML/AI products, regularly communicating with senior … machine learning products. Expertise in a variety of machine learning and AI techniques - ideally having a background that covers traditional ML and advanced AI Strong communication skills. A background working in strong/known tech companies (Meta, Google etc..) If you are interested in this role More ❯

consistency. Develop Scalable Data Models: Collaborate with analysts and data scientists to design and maintain data models that enable more intuitive use for reporting, machine learning, and advanced analytics. Research and Adopt Emerging Data Technologies: Stay ahead of industry trends by researching emerging tools and frameworks. Recommend and … degree in mathematics, physics, computer science, engineering, or a related field. Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models. Active participation in tech or open-source communities, with a passion for sharing knowledge and inspiring others. Strong communication skills, with … application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore More ❯

Senior Consultant - AI/ML, Tech & Industry Job ID: AWS ProServe IN - Maharashtra AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Asia Pacific & Japan … APJ) Professional Services (ProServe) is seeking for a Senior Consultant, AI/ML for its Technology & Industry team. This role will be focused on helping customers build or migrate their data-driven business workloads on AWS. From ideation through to build and then to operate, AWS ProServe is committed to … our customers across all industries. This Senior Consultant will be based in India. Successful candidates will be experienced and motivated business-oriented AI/ML practitioners. They must possess a unique balance of business knowledge and Technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. More ❯

of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Overview: As ML Engineer, RegBrain, your mission is to: Participate in the continuous improvement of RegBrain's products. Develop advanced NLP and AI-based products that will delight … users. Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand of the Team's knowledge via demonstration and documentation. Key Responsibilities: As a machine learning engineer, your main responsibility is to conduct the development andproductionisationof ML and NLP-based features for … CUBE's products - a SaaS Platform (RegPlatform) and an API (RegConnect). Develop optimal ML & NLP solutions for RegBrain use cases, from baseline to SOTA approaches, wherever appropriate. Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and More ❯

cross-functional teams - bringing together Engineering, Data Science, Product and Architecture - to build automated decisioning systems that have real impact. We are hiring an ML Engineering Manager to lead our Digital & Retail team. Reporting to the Head of ML Engineering, you will build & run systems thatimpact millions of customers online … and tens of thousands of colleagues in our stores. What you'll do Lead, coach, and grow a high-performing team of ML engineers. Architect, build, scale and run critical ML applications - from data sourcing & feature engineering to training, deployment, real-time serving and monitoring. Partner with data scientists to … develop & productionise models, ensuring scalability, reliability, and maintainability. Drive innovation, automation in collaboration with other ML Engineering teams. Own end-to-end delivery and operations, balancing feature development with sustainability. Manage delivery timelines, prioritising work and removing blockers to keep projects on track. Champion agile/lean delivery, oversee budgets More ❯

collection at scale and infer information. The end goals are company classification, tag extraction, relationship mapping, and company valuation. There is huge potential for machine learning, analytics, and NLP. Your responsibilities: Build and scale an automatic data pipeline Ingest and analyze various data sources to drive innovation in … to date/share your passions Stay up to date with state-of-the-art approaches and technological advancement Share your passion for science, ML, and technology Who are you? You have BS or MS in Computer Science or Mathematics related field . You have 3+ years of experience as … have: Experience with Neural Networks/Deep Learning. Experience with information extraction, parsing, and segmentation. Experience with machine learning frameworks ( sklearn ) and ML workflow. Experience with NLP libraries and text preprocessing (nltk, SpaCy, language models, ). Experience with cloud environments: AWS, Azure. Experience with business intelligence tools like More ❯

needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++ … Python or related language Experience with neural deep learning methods and machine learning Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark More ❯

overview: We are leaders in technological advancements, using AI to create groundbreaking products and solutions. Our AI Team is committed to exploring AI and machine learning's full potential. Job Summary: As a Data Engineer on AI Team, you will craft the foundation of our AI models and … for complex problems. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks and Azure services. Perform feature set engineering, report preparations, and ML tasks. Work with data scientists, ML engineers, and collaborators to deliver high-quality data solutions. Collaborate with the Data & Analytics Team on data infrastructure and … ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Skills Experience with data visualization tools and techniques. Knowledge of machine learning frameworks and libraries. Understanding of data warehousing concepts and technologies. Experience with data governance and data quality management. Certification in data engineering More ❯