426 to 450 of 1,944 Machine Learning Jobs in London

problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints. Apply and innovate on methods like Bayesian neural networks , variational … EM algorithms, etc. Proficiency in Python (must) and familiarity with PyMC, NumPyro, TensorFlow Probability , or similar probabilistic programming tools. Hands-on experience with classical ML and modern techniques, including deep learning , transformers , diffusion models , and ensemble methods . Solid understanding of feature engineering, dimensionality reduction, model construction, validation, and … or graph models . Experience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.). Understanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases). Experience with recent trends such as foundation models , causal inference , or RL with uncertainty . Track record 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 ❯

The firm is expanding its team of Quantitative Traders with a particular interest in those who bring Alpha-generating strategies powered by AI/ML and advanced statistical learning techniques . Key Responsibilities Design, develop, and optimise mid/high-frequency trading strategies using quantitative and machine learning techniques. Leverage large-scale, high-frequency datasets to uncover alpha signals and drive decision-making. Integrate AI/ML models into trading workflows. Model and analyse market microstructure across global exchanges to improve execution and reduce slippage. Experience in backtesting strategies before live deployment. Work closely with low-latency … team players are both encouraged to apply. If you're a Quantitative Trader with a scalable, proven strategy, particularly one enhanced by AI/ML techniques, please apply and a consultant will contact you shortly. More ❯

The firm is expanding its team of Quantitative Traders with a particular interest in those who bring Alpha-generating strategies powered by AI/ML and advanced statistical learning techniques . Key Responsibilities Design, develop, and optimise mid/high-frequency trading strategies using quantitative and machine learning techniques. Leverage large-scale, high-frequency datasets to uncover alpha signals and drive decision-making. Integrate AI/ML models into trading workflows. Model and analyse market microstructure across global exchanges to improve execution and reduce slippage. Experience in backtesting strategies before live deployment. Work closely with low-latency … team players are both encouraged to apply. If you're a Quantitative Trader with a scalable, proven strategy, particularly one enhanced by AI/ML techniques, please apply and a consultant will contact you shortly. More ❯

Staffworx are planning for future talent pool projects. Azure Data Engineer with AI/Machine Learning experience for a leading specialist consulting ogranisaiton and Digital FS Fintech client. Key Responsibilities for the Azure Data Engineer. Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines … Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML More ❯

Staffworx are planning for future talent pool projects. Azure Data Engineer with AI/Machine Learning experience for a leading specialist consulting ogranisaiton and Digital FS Fintech client. Key Responsibilities for the Azure Data Engineer. Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines … Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML More ❯

smoothly across the organisation. Integration & Standardisation: Integrating data across tools like Azure Data Factory, Python, and Snowflake, while standardising processes and building scalable systems. Machine Learning Integration: Supporting machine learning workflows by building and optimising data pipelines, with experience in either fine-tuning or deploying models More ❯

smoothly across the organisation. Integration & Standardisation: Integrating data across tools like Azure Data Factory, Python, and Snowflake, while standardising processes and building scalable systems. Machine Learning Integration: Supporting machine learning workflows by building and optimising data pipelines, with experience in either fine-tuning or deploying models More ❯

Statistical analysis: strong understanding of statistical methods and their application in data analysis. Data management: experience with data cleaning, data warehousing, and data governance. Machine learning: knowledge of machine learning techniques and their implementation. Programming: fluency in programming languages such as Python, R, and SQL. Soft More ❯

pragmatically solving the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional … capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machine learning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. … 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 ❯

customers. BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of applied science experience - Skilled in Python or alternative programming language. - Experience in ML model productionization. - Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes. - Superior verbal and written communication … skills, ability to convey rigorous mathematical concepts and considerations to non-experts. PREFERRED QUALIFICATIONS - A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company. - Practical experience in several of … the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, computer vision, information retrieval. - Publications in top-tiered academic conferences and journals. - Knowledge of AWS products for MLOps. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments. Principal Solutions Architects work on the more complex customer challenges and opportunities. They … speaking, online videos or conferences). BASIC QUALIFICATIONS Experience with building, validating and deploying GenAI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development … Associate or Professional). Expertise in one or more of the following: DevOps, Containers, Big Data Solutions, Serverless, Networking, Security, Databases, IOT, AI/ML, Cloud Migration and IT Transformation. Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed More ❯

Software Engineer II, ML Experimentation corporate_fare Google place London, UK Apply Bachelor's degree or equivalent practical experience. 1 year of experience with data structures or algorithms. 1 year of experience building and developing large-scale infrastructure or distributed systems. Preferred qualifications: Experience with large scale distributed systems and … flume). Experience with build systems and infrastructure (e.g., blaze, bazel). Experience in improving system performance (e.g., profiling, system optimization). Experience with ML/AI infrastructure and Python. Experience in building developer tools. About the job Google's software engineers develop next-generation technologies that change how billions … and enthusiasm for tackling new problems across the full tech stack as we continue to innovate. As part of the Machine Learning (ML) Experimentation team, you will design and build solutions to enhance ML research and development. At YouTube, we believe everyone deserves a voice, and that sharing More ❯

of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments. Principal Solutions Architects work on the more complex customer challenges and opportunities. They … on the AWS Startup SA team. BASIC QUALIFICATIONS - Experience with building, validating and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development … Architect Associate or Professional) - Expertise in one or more of the following: DevOps, Containers, Big Data Solutions, Serverless, Networking, Security, Databases, IOT, AI/ML, Cloud Migration and IT Transformation. - Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed More ❯

a UAE National looking to kick start your career as a Technical Consultant? Do you want to experiment with innovative technologies, including Cloud Computing, Machine Learning, and Internet of Things? Are you passionate about educating, training, designing, and building enterprise cloud computing solutions for a diverse and challenging … Data & Analytics role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Helping our customers use and integrate Big Data services. Security Consultant - Supports our services that have a focus on enabling security specialists More ❯

basis of disease states by detailed characterisation of patients during diagnostic and therapeutic procedures through designing and conducting multicentre randomised clinical trials to applying machine learning and Artificial Intelligence techniques to data extracted from routine health records. The work will also include areas relevant to the BHF Centre … Biomedical ontologies/Semantic Web technologies Information retrieval, data analytics and/or text mining on Electronic Health Records and biomedical literature Knowledge of machine learning/deep learning with an interest in the application to electronic patient records Understanding or interest in graph data models/ More ❯

disciplinary senior squad of about 6 members, including Principal and Senior Software Engineers, Data Engineers, and Data Scientists. Your main responsibilities will include supporting machine learning teams in deploying and maintaining models in production, ensuring reliability, scalability, and … adherence to best practices. You will optimize model performance, mitigate risks, and refine deployment pipelines to meet governance and regulatory standards. Collaboration with the ML platform team will be essential, especially advocating for effective use of tools like feature stores and model registries. This role acts as a bridge between … robustness and cost efficiency. Key skills and experience: Prior experience as a Senior Data Scientist with Machine Learning expertise Strong understanding of ML models and observability tools Proficiency in Python and SQL Experience with Spark and Apache Airflow Knowledge of ML frameworks (PyTorch, TensorFlow, Scikit-Learn) Experience with More ❯

in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as Deep Learning, generative models, reinforcement learning, computer perception, natural language … Responsibilities Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines. Collaborate on research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). Work towards long-term ambitious research goals, while identifying intermediate milestones. … the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications Experience working in a team solving modeling problems using AI/ML approaches. First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP). Experience driving original scholarship in More ❯

ensure sales effectiveness REQUIREMENTS 1-3 years of sales experience in a SaaS business Experience in selling to technical audiences Experience with developer/machine-learning tooling preferred, but not required Proven ability to close complex sales cycles Proficiency with sales and marketing automation tools Interest in working … most exciting engineering fields of our era. An inclusive and supportive work culture that fosters learning and growth. Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are … a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all More ❯

Software Development Engineer - Machine Learning Job ID: Amazon Europe Core Sarl - D40 Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle … Science, Computer Engineering, or related fields at time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such as linear programming and … solutions • Adept at handling ambiguous or undefined problems as well as ability to think abstractly • Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with Deep More ❯

Senior Machine Learning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures … for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally … least 2 years of experience with LLM. Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing More ❯

Manager based out of Bengaluru, India. We are seeking a Senior Product Manager to lead the development and execution of machine learning (ML) products that drive business value through forecasting, personalisation, and automation for Smartphones & Consumer Electronics categories. You will work closely with ML scientists, engineers, and business … stakeholders to build and scale ML/AI-powered solutions that improve efficiency and customer experience. Key Responsibilities: Own end-to-end product development for ML-based tools focusing on demand forecasting, personalization, and automation products Partner with ML science teams to translate business requirements into technical solutions and drive … Drive product adoption through detailed documentation, training, and stakeholder management Lead the product roadmap development and prioritisation process Identify and evaluate new opportunities for ML applications in the business Basic Qualifications: 3+ years of product or program management, product marketing, business development or technology experience Bachelor's degree or equivalent More ❯

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … s challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS More ❯

and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to … Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions. 🚀 Innovation & Research: Stay up to date with advancements in AI, ML, and fintech applications, applying them to real-world financial problems. Skills & Experience Required An Undergraduate & Masters STEM degree (Mathematics, Statistics, Computer Science, Engineering, or related … field) from a Russell Group university . Proficiency in Python and SQL for data manipulation, analysis, and model development. Solid understanding of machine learning concepts , including supervised and unsupervised learning. Experience working with financial datasets , such as market data, transactions, or alternative finance sources. Strong analytical and problem More ❯

and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to … Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions. 🚀 Innovation & Research: Stay up to date with advancements in AI, ML, and fintech applications, applying them to real-world financial problems. Skills & Experience Required An Undergraduate & Masters STEM degree (Mathematics, Statistics, Computer Science, Engineering, or related … field) from a Russell Group university . Proficiency in Python and SQL for data manipulation, analysis, and model development. Solid understanding of machine learning concepts , including supervised and unsupervised learning. Experience working with financial datasets , such as market data, transactions, or alternative finance sources. Strong analytical and problem More ❯