176 to 200 of 474 Machine Learning Jobs in Central London

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

tools. Ensure smooth handovers from pre-sales to implementation teams. Qualifications and Experience Bachelors or Masters degree in Computer Science, or a related field. Strong knowledge of AI and machine learning technologies related to customer experience (chatbots, NLP, sentiment analysis, etc.) Experience with Contact Centre/CX platforms and their integration with AI. Knowledge of cloud platforms (AWS More ❯

team About You Proven experience leading Data & AI initiatives within financial services is required Then experience in a PE firm or consulting firm - doing financial services Strong grasp of machine learning, data engineering, and AI governance frameworks (LLMs, data platforms, MLOps, etc.) A builder-operator mindset — equally comfortable crafting strategy and executing it Exceptional communication skills — able to More ❯

team About You Proven experience leading Data & AI initiatives within financial services is required Then experience in a PE firm or consulting firm - doing financial services Strong grasp of machine learning, data engineering, and AI governance frameworks (LLMs, data platforms, MLOps, etc.) A builder-operator mindset — equally comfortable crafting strategy and executing it Exceptional communication skills — able to More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

Backend Engineer - Gen AI Backend development – building and maintaining Python-based web applications. Generative AI & LLMs – understanding and working with large language models (LLM) and GenAI datasets. Also integrating ML into applications. Cloud infrastructure – experience with Google Cloud (Cloud Run preferred) and core web app infrastructure. DevOps tools – familiarity with Git/GitHub, CI/CD, and deployment practices - I More ❯

internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and More ❯

internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and More ❯

in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have More ❯

in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have More ❯

reliable, maintainable software and mentor more junior engineers. About you (essential) 5+ years’ experience in 3D computer vision, computational geometry or a closely related field. Proven track record shipping ML/AI systems into production (end-to-end pipelines). Strong software engineering skills — production-grade Python and engineering best practices. Practical experience with point cloud/spatial data processing … or equivalent 3D data modalities. MSc or PhD in Computer Science, Machine Learning, Robotics or similar. Nice to have (not required) Experience at an early stage or scale-up environment. Familiarity with commonly used 3D/vision toolkits and cloud deployment patterns. Exposure to industry workflows … that use 3D representations (any sector). If you're interested and have the required skillset, then apply now! Otherwise, if you are interested in any other AI/ML & Computer Vision roles, then reach out to Oscar Harper at IC Resources. More ❯

reliable, maintainable software and mentor more junior engineers. About you (essential) 5+ years’ experience in 3D computer vision, computational geometry or a closely related field. Proven track record shipping ML/AI systems into production (end-to-end pipelines). Strong software engineering skills — production-grade Python and engineering best practices. Practical experience with point cloud/spatial data processing … or equivalent 3D data modalities. MSc or PhD in Computer Science, Machine Learning, Robotics or similar. Nice to have (not required) Experience at an early stage or scale-up environment. Familiarity with commonly used 3D/vision toolkits and cloud deployment patterns. Exposure to industry workflows … that use 3D representations (any sector). If you're interested and have the required skillset, then apply now! Otherwise, if you are interested in any other AI/ML & Computer Vision roles, then reach out to Oscar Harper at IC Resources. More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to the company platform, you will have access to powerful computational resources, and you will enjoy the comforts … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world; a More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to the company platform, you will have access to powerful computational resources, and you will enjoy the comforts … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world; a More ❯

concepts and evaluate their business impact. Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance More ❯

concepts and evaluate their business impact. Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance More ❯

stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and … client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a high-performing engineering culture by working from ours or client offices regularly to collaborate closely with fellow senior techies, fostering strong technical discussions and decision-making Provide hands-on mentorship and technical guidance that encourages knowledge More ❯

stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and … client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a high-performing engineering culture by working from ours or client offices regularly to collaborate closely with fellow senior techies, fostering strong technical discussions and decision-making Provide hands-on mentorship and technical guidance that encourages knowledge More ❯

support the launch of the Axola app. You will take ownership of the technical delivery across frontend, backend, cloud and mobile, working closely with the founder and AI/ML engineers. Your responsibilities will include developing the web platform and mobile app, building APIs, supporting integrations, and deploying machine learning models into production. Requirements: Strong full-stack development …/Android apps. Backend expertise (databases, APIs, authentication, security). Cloud experience ( AWS/GCP/Azure , Docker, Kubernetes, CI/CD pipelines). Ability to integrate and deploy ML models into production. Startup mindset — ability to deliver with limited resources and wear multiple hats. Passion for sport and technology is a strong plus. What we offer: Competitive salary (depending More ❯

support the launch of the Axola app. You will take ownership of the technical delivery across frontend, backend, cloud and mobile, working closely with the founder and AI/ML engineers. Your responsibilities will include developing the web platform and mobile app, building APIs, supporting integrations, and deploying machine learning models into production. Requirements: Strong full-stack development …/Android apps. Backend expertise (databases, APIs, authentication, security). Cloud experience ( AWS/GCP/Azure , Docker, Kubernetes, CI/CD pipelines). Ability to integrate and deploy ML models into production. Startup mindset — ability to deliver with limited resources and wear multiple hats. Passion for sport and technology is a strong plus. What we offer: Competitive salary (depending More ❯

Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development … experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user More ❯

Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development … experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯