26 to 50 of 232 Machine Learning Jobs in Central London

on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime … and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business … effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

and driving innovation in the application of our Gen AI platform. We are looking for a professional with a strong grasp of system architecture, particularly in the AI and machine learning domains, who can combine technical insight with a deep understanding of client needs. In this role, you will advise our product teams on design considerations, compliance with … teams during client projects to ensure efficient and secure execution. Key Traits: In-depth knowledge of public cloud platforms (e.g., AWS, Azure, GCP) and their application in AI and machine learning environments. Experience with designing and managing large-scale software systems, including distributed architectures, scaling strategies, and DevOps practices. Familiarity with the full lifecycle of AI model development More ❯

and driving innovation in the application of our Gen AI platform. We are looking for a professional with a strong grasp of system architecture, particularly in the AI and machine learning domains, who can combine technical insight with a deep understanding of client needs. In this role, you will advise our product teams on design considerations, compliance with … teams during client projects to ensure efficient and secure execution. Key Traits: In-depth knowledge of public cloud platforms (e.g., AWS, Azure, GCP) and their application in AI and machine learning environments. Experience with designing and managing large-scale software systems, including distributed architectures, scaling strategies, and DevOps practices. Familiarity with the full lifecycle of AI model development More ❯

relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction, and identity verification success and own … verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can influence and align More ❯

relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction, and identity verification success and own … verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can influence and align More ❯

Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum IT Recruitment (South) Limited More ❯

An exciting opportunity for an experienced technical support professional to join a market-leading, disruptive software company in London as a Customer Support Engineer. Specialising in cutting-edge machine learning technology, this rapidly growing organisation offers excellent training, career progression, and long-term prospects. You’ll have the chance to work alongside some of the brightest minds in … keen to work in a client-facing technical role (opposed to taking the R&D route) Responsibilities for Customer Support Engineer You will initially be fully trained on the machine learning platform to understand the intricacies of the product You will then act as the main point of contact and liaise with customers and internal teams (predominantly the More ❯

Software Engineer to meet demand for their products. This role would suit a seasoned PHP Software Engineer who has a strong focus on backend development and ideally knowledge of Machine Learning or LLM. The PHP Software Engineer will work with the R&D team to bring new solutions to life. This role is remote within the UK. To … be a successful, the ideal PHP Software Engineer candidate will have: · A strong career background in PHP and Laravel. · Knowledge of (or an interest in) machine learning and large language models · Experience of working in a small team · Excellent written English skills. What is in it for you? As a talented PHP Software Engineer you can expect: · Great More ❯

experience in Investment Banking environment would be a plus Spanish would be a plus Skills Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps,RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS More ❯

experience in Investment Banking environment would be a plus Spanish would be a plus Skills Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps,RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS More ❯

for leading GSI in the software engineering market AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML models, cloud computing, and scalable system architecture. This role requires expertise in architecting intelligent agents, optimizing cloud-based deployments, and integrating AI services into enterprise applications. Key Responsibilities: Architect and … ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML engineers to integrate machine learning models into cloud-native applications. Ensure security, scalability, and reliability of AI agent solutions in production environments. Design event-driven and serverless architectures … governance. Required: 5+ years of experience in solution architecture with a focus on AI, APIs, and cloud technologies. Strong hands-on experience with AWS services related to AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. More ❯

Maintain a deep, hands-on understanding of our AI platform, its APIs, and its underlying architecture. Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus. 3+ years of experience in a Sales …/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling POCs and technical demonstrations. Excellent presentation, whiteboarding, and written communication skills. Ability to … AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog More ❯

Maintain a deep, hands-on understanding of our AI platform, its APIs, and its underlying architecture. Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus. 3+ years of experience in a Sales …/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling POCs and technical demonstrations. Excellent presentation, whiteboarding, and written communication skills. Ability to … AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog More ❯

seeking a talented .NET Developer with AI experience to join our London team. The ideal candidate will be responsible for developing and maintaining .NET applications while integrating AI and machine learning capabilities to enhance business solutions. You will collaborate closely with data scientists … software engineers, and business stakeholders to deliver intelligent and scalable applications. Key Responsibilities: Design, develop, and maintain .NET applications (C#, ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean … date with emerging technologies in .NET development and AI Required Skills & Qualifications: Strong experience in C#, .NET Framework, .NET Core/6/7, ASP.NET Experience with AI/ML frameworks such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or More ❯

seeking a talented .NET Developer with AI experience to join our London team. The ideal candidate will be responsible for developing and maintaining .NET applications while integrating AI and machine learning capabilities to enhance business solutions. You will collaborate closely with data scientists … software engineers, and business stakeholders to deliver intelligent and scalable applications. Key Responsibilities: Design, develop, and maintain .NET applications (C#, ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean … date with emerging technologies in .NET development and AI Required Skills & Qualifications: Strong experience in C#, .NET Framework, .NET Core/6/7, ASP.NET Experience with AI/ML frameworks such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or More ❯

Learning, or a related field. 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building and deploying complex AI/ML systems into production. A proven track record of delivering scalable, reliable, and high-performance software solutions from concept to deployment. More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

and Machine Learning environments. This position blends deep technical expertise with strategic consulting and pre-sales influence, working closely with enterprise clients to shape secure AI/ML strategies and architectures that align with business outcomes. You’ll act as a trusted advisor across both technical and commercial discussions — defining frameworks, advising stakeholders, and ensuring robust security within … cutting-edge AI ecosystems. Key Responsibilities Lead the definition and implementation of AI/ML security strategies, policies, and standards. Architect secure, scalable AI/ML systems, data pipelines, and cloud environments. Advise clients on AI security risk management, compliance, and governance. Deliver strategic pre-sales support — from solution design to client presentations and bid responses. Champion ethical AI principles … and align architectures with frameworks such as the EU AI Act and GDPR. Evaluate and implement AI/ML security tools, ensuring adherence to ISO 27001, NIST, TOGAF, and SABSA standards. Collaborate with cross-functional teams to embed DevSecOps practices within AI/ML lifecycles. What We’re Looking For 7+ years’ experience in cybersecurity architecture, including hands-on leadership. More ❯

and Machine Learning environments. This position blends deep technical expertise with strategic consulting and pre-sales influence, working closely with enterprise clients to shape secure AI/ML strategies and architectures that align with business outcomes. You’ll act as a trusted advisor across both technical and commercial discussions — defining frameworks, advising stakeholders, and ensuring robust security within … cutting-edge AI ecosystems. Key Responsibilities Lead the definition and implementation of AI/ML security strategies, policies, and standards. Architect secure, scalable AI/ML systems, data pipelines, and cloud environments. Advise clients on AI security risk management, compliance, and governance. Deliver strategic pre-sales support — from solution design to client presentations and bid responses. Champion ethical AI principles … and align architectures with frameworks such as the EU AI Act and GDPR. Evaluate and implement AI/ML security tools, ensuring adherence to ISO 27001, NIST, TOGAF, and SABSA standards. Collaborate with cross-functional teams to embed DevSecOps practices within AI/ML lifecycles. What We’re Looking For 7+ years’ experience in cybersecurity architecture, including hands-on leadership. More ❯

workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern More ❯

workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern More ❯

to detail Knowledge of a wide variety of Generative AI models Conceptual understanding of how large language models work Proficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python) Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential) Experience with cloud native tooling for Azure and AWS More ❯

learning models in production environments. This role does not involve model development or end-user support but is critical to ensuring the reliability and performance of our ML platforms. The successful candidate will also be responsible for managing API endpoints and overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML … fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform-related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development … to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation Automation & Tooling • Implement automation for deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation More ❯

learning models in production environments. This role does not involve model development or end-user support but is critical to ensuring the reliability and performance of our ML platforms. The successful candidate will also be responsible for managing API endpoints and overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML … fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform-related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development … to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation Automation & Tooling • Implement automation for deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation More ❯