476 to 500 of 915 Machine Learning Jobs in London

and data pipeline design Front-end development experience using JavaScript and associated frameworks Familiarity with cloud infrastructure , containerisation , and Kubernetes Must have a keen interest in Artificial Intelligence and Machine Learning , with a desire to contribute to data-driven innovation Strong problem-solving abilities and a collaborative approach to team-based development Excellent communication skills and a proactive … attitude towards learning and innovation Must be eligible to work in the UK. Paying between 75-85k, depending on experience. More ❯

and data pipeline design Front-end development experience using JavaScript and associated frameworks Familiarity with cloud infrastructure , containerisation , and Kubernetes Must have a keen interest in Artificial Intelligence and Machine Learning , with a desire to contribute to data-driven innovation Strong problem-solving abilities and a collaborative approach to team-based development Excellent communication skills and a proactive … attitude towards learning and innovation Must be eligible to work in the UK. Paying between 75-85k, depending on experience. More ❯

Senior ML Infrastructure Engineer Central London AI Start-up up to £175,000 + Shares + Private Healthcare + Pension Were working with a well-funded AI start-up in London thats gearing up for huge growth. Theyre expecting to scale 10x over the next 18 months. Theyre now looking for their first ML Engineer, someone who can build out … and own the foundations of their ML and cloud environment as the business scales. Youll be reporting directly into the CTO and working closely with the ML research team, so this is a real chance to make your mark in a company at the forefront of applied AI. The role This isnt your average ML infrastructure role - it sits right … at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML experimentation More ❯

performance. You will design and deploy AI solutions, including autonomous and agent-based systems capable of executing marketing workflows and optimising spend. Working closely with Marketing, Engineering, Product and ML Science, you will embed AI into decision-making, automation and cost optimisation workflows to drive revenue growth, reduce costs and increase customer engagement. What You'll Do Lead AI innovation … by identifying and testing opportunities to integrate advanced generative AI and other ML methods, including agent-based systems, into SEM and Metasearch workflows Design, develop and deploy AI solutions to improve bidding, capital allocation, audience targeting, creative optimisation and campaign segmentation through structured test-and-learn approaches Develop and implement prompt engineering, tool integrations and orchestration strategies for autonomous AI … as t-tests, confidence intervals and distributions to ensure results are valid and repeatable, and improving experimental design for marketing applications Apply generative AI, reinforcement learning and other ML techniques to improve operational efficiency and campaign outcomes through automation and scalability Implement monitoring, observability and guardrails for AI systems to ensure performance, reliability, compliance and safety Identify and address More ❯

translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a … in feature engineering, handling class imbalance, and evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics More ❯

translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a … in feature engineering, handling class imbalance, and evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics More ❯

translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a … in feature engineering, handling class imbalance, and evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics More ❯

translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a … in feature engineering, handling class imbalance, and evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics More ❯

the digital journey Ensure successful adoption of new digital technologies, processes, and systems across the organisation, and an efficient user experience Foster a culture of digital literacy and continuous learning by facilitating training programs and workshops Lead Change Management - address concerns, mitigate resistance, and inspire the business to own and embrace new digital solutions Risk Management & Compliance - Identify and … leading a team of specialists Proven track record of successfully leading complex digital projects for a large global group Deep knowledge of digital technologies including cloud computing, AI, cybersecurity, machine learning, IoT, data analytics and reporting, and automation Expert communicator with ability to partner with senior leaders/business and translate technical concepts into business friendly language Strong More ❯

the digital journey Ensure successful adoption of new digital technologies, processes, and systems across the organisation, and an efficient user experience Foster a culture of digital literacy and continuous learning by facilitating training programs and workshops Lead Change Management - address concerns, mitigate resistance, and inspire the business to own and embrace new digital solutions Risk Management & Compliance - Identify and … leading a team of specialists Proven track record of successfully leading complex digital projects for a large global group Deep knowledge of digital technologies including cloud computing, AI, cybersecurity, machine learning, IoT, data analytics and reporting, and automation Expert communicator with ability to partner with senior leaders/business and translate technical concepts into business friendly language Strong More ❯

the digital journey Ensure successful adoption of new digital technologies, processes, and systems across the organisation, and an efficient user experience Foster a culture of digital literacy and continuous learning by facilitating training programs and workshops Lead Change Management - address concerns, mitigate resistance, and inspire the business to own and embrace new digital solutions Risk Management & Compliance - Identify and … leading a team of specialists Proven track record of successfully leading complex digital projects for a large global group Deep knowledge of digital technologies including cloud computing, AI, cybersecurity, machine learning, IoT, data analytics and reporting, and automation Expert communicator with ability to partner with senior leaders/business and translate technical concepts into business friendly language Strong More ❯

your background will include: 3+ yearsindustry experience in aData Sciencerole and a strong academic background Python Data Science Stack:Advanced proficiency inPython, includingpandas,NumPy,scikit-learn, andJupyter Notebooks. Statistical & ML Modelling:Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). … Practical experience withKerasorPyTorchis required. Full-Stack Deployment:Demonstrable experience taking models to production, including building and deploying APIs withFastAPIand usingVertex AIfor ML workflows. Visualization & Communication:Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain:Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries likemplsoccer. More ❯

your background will include: 3+ yearsindustry experience in aData Sciencerole and a strong academic background Python Data Science Stack:Advanced proficiency inPython, includingpandas,NumPy,scikit-learn, andJupyter Notebooks. Statistical & ML Modelling:Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). … Practical experience withKerasorPyTorchis required. Full-Stack Deployment:Demonstrable experience taking models to production, including building and deploying APIs withFastAPIand usingVertex AIfor ML workflows. Visualization & Communication:Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain:Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries likemplsoccer. More ❯

the intersection of AI, digital transformation, and public service. You'll be responsible for technical design and strategic direction of complex AI systems, spanning real-time data pipelines, automation, machine learning models, and legacy system integration. This role is mapped to the Government Digital and Data Profession: Lead Technical Architect and will help us build out our capability … Design - Expert Leading design for high-risk, high-complexity systems in an enterprise context. Software Engineering - Practitioner Working knowledge of modern programming practices, CI/CD, and AI/ML deployment patterns. Service Support - Practitioner Designing operable, maintainable, and observable AI services. People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise More ❯

Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow More ❯

Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow More ❯

Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow More ❯

Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow More ❯

challenges with autonomy. Role Requirements: Exceptional ability with tools such as Python, Airflow, SQL, and at least one Cloud provider Experience forecasting, customer, and propensity models Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or More ❯

challenges with autonomy. Role Requirements: Exceptional ability with tools such as Python, Airflow, SQL, and at least one Cloud provider Experience forecasting, customer, and propensity models Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or More ❯

challenges with autonomy. Role Requirements: Exceptional ability with tools such as Python, Airflow, SQL, and at least one Cloud provider Experience forecasting, customer, and propensity models Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or More ❯

challenges with autonomy. Role Requirements: Exceptional ability with tools such as Python, Airflow, SQL, and at least one Cloud provider Experience forecasting, customer, and propensity models Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or More ❯

methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing or adapting dynamic programming More ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product More ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product More ❯