76 to 100 of 232 Machine Learning Jobs in Central London

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 ❯

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 ❯

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 ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them? You’ll be joining a start-up whose founders have already More ❯

experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter 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 with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for 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 More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

is mandatory. Experience with ActiveCampaign is highly advantageous for the migration process. Strong skills in Canva, Figma, Zapier, WhatsApp integrations, and Looker Studio. ● AI Fluency: Demonstrated ability to apply machine learning and generative AI tools for segmentation, personalisation and content creation; understanding of lead scoring and predictive analytics. ● Technical: Understanding of HTML/CSS for email template customisation More ❯

is mandatory. Experience with ActiveCampaign is highly advantageous for the migration process. Strong skills in Canva, Figma, Zapier, WhatsApp integrations, and Looker Studio. ● AI Fluency: Demonstrated ability to apply machine learning and generative AI tools for segmentation, personalisation and content creation; understanding of lead scoring and predictive analytics. ● Technical: Understanding of HTML/CSS for email template customisation More ❯

solving mindset, with a desire to understand how systems and processes work – and how they can fail. Interest in cloud computing (e.g. AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge More ❯

solving mindset, with a desire to understand how systems and processes work – and how they can fail. Interest in cloud computing (e.g. AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge More ❯

effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment More ❯

effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment 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 ❯

developing solutions based on modern enterprise technologies (Cloud services/SaaS/PaaS/Micro Services/IAC/Serverless, device management) Understanding of AI & related technologies (Language models, Machine Learning, GPU Clustering, Orchestration & Containerisation) would be advantageous Demonstrable technical design and implementation of infrastructure solutions Demonstrable Service Design and Project Governance skills and experience Project facilitation ensuring More ❯

developing solutions based on modern enterprise technologies (Cloud services/SaaS/PaaS/Micro Services/IAC/Serverless, device management) Understanding of AI & related technologies (Language models, Machine Learning, GPU Clustering, Orchestration & Containerisation) would be advantageous Demonstrable technical design and implementation of infrastructure solutions Demonstrable Service Design and Project Governance skills and experience Project facilitation ensuring More ❯

concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data More ❯

concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data More ❯

Tools (e.g. Adobe Analytics, Amplitude, Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas). Strong analytical skills, including A/B Testing, foundational Machine Learning concepts, Data Visualisation and Storytelling. Good communication and stakeholder management skills, experience working in cross functional/embedded analytics teams. Good strategic and business thinking, allowing to More ❯

Tools (e.g. Adobe Analytics, Amplitude, Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas). Strong analytical skills, including A/B Testing, foundational Machine Learning concepts, Data Visualisation and Storytelling. Good communication and stakeholder management skills, experience working in cross functional/embedded analytics teams. Good strategic and business thinking, allowing to More ❯