1,251 to 1,275 of 1,867 Remote Machine Learning Jobs

govern, and innovate through technology: Data Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant More ❯

govern, and innovate through technology: Data Platform Modernisation – transforming legacy estates into scalable, cloud-native data platforms that accelerate innovation and reduce time-to-market. AI & Advanced Analytics – deploying machine learning and generative AI for fraud detection, risk modelling, hyper-personalised experiences, and intelligent document processing. Responsible AI & Governance – designing frameworks to ensure AI adoption is safe, compliant More ❯

and verbal communicator, able to convey complex technical ideas to non-technical audiences. Understanding of capabilities and limitations of AI technology including Large Language Models and other transformer-based machine learning architectures. Knowledge of risk management domain and practices (HFACS, risk matrices, bowties) and airline industry a bonus. Competitive salary and benefits package. Annual company offsiteand modern offices More ❯

practice background. If you like working with driven entrepreneurial businesses providing innovative and creative solutions in the field of Software, Hardware, Information Security, Privacy and Cyber, Fintech, AI and Machine Learning, IoT, Business Intelligence, Consumer Tech, Facilities Management, Digital Commerce, Mobile Apps and Gaming, Smart City technology, Advanced Manufacturing, Greentech, Cleantech, Blockchain, Healthcare and Biotech (to name a More ❯

practice background. If you like working with driven entrepreneurial businesses providing innovative and creative solutions in the field of Software, Hardware, Information Security, Privacy and Cyber, Fintech, AI and Machine Learning, IoT, Business Intelligence, Consumer Tech, Facilities Management, Digital Commerce, Mobile Apps and Gaming, Smart City technology, Advanced Manufacturing, Greentech, Cleantech, Blockchain, Healthcare and Biotech (to name a More ❯

and we're building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few. What will I be doing? As an experienced engineer you will: Develop technical plans and contribute to our technical architecture as we scale More ❯

Role Title: AVP Banking Analytics & ML/AI BU/Segment: Banking and Capital Markets Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent 6–10 years of experience in analytics within the Banking and Financial Services industry. Proven experience in analytical project delivery, ideally with exposure to consulting or professional services environments. Experience working with service providers such More ❯

Role Title: AVP Banking Analytics & ML/AI BU/Segment: Banking and Capital Markets Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent 6–10 years of experience in analytics within the Banking and Financial Services industry. Proven experience in analytical project delivery, ideally with exposure to consulting or professional services environments. Experience working with service providers such More ❯

and dash app refinement , focusing on interpretability and usability. Tech environment: Python CLIP Phi SHAP Computer Vision NLP Dash Pandas NumPy Ideal profile: Proven experience in data science/ML , with practical exposure to computer vision and explainable AI . Strong coding in Python , with experience building models end-to-end and deploying lightweight web apps (Dash/Streamlit). More ❯

years of experience in software engineering with shipped production systems Strong proficiency across the stack, including React, TypeScript, Python, Node, or Go Proven experience building and deploying AI or ML features in production Hands-on with embeddings, vector databases, and LLM-based systems Strong understanding of data pipelines, inference optimisation, and prompt engineering Experience with monitoring, tracing, and scaling backend More ❯

years of experience in software engineering with shipped production systems Strong proficiency across the stack, including React, TypeScript, Python, Node, or Go Proven experience building and deploying AI or ML features in production Hands-on with embeddings, vector databases, and LLM-based systems Strong understanding of data pipelines, inference optimisation, and prompt engineering Experience with monitoring, tracing, and scaling backend More ❯

years of experience in software engineering with shipped production systems Strong proficiency across the stack, including React, TypeScript, Python, Node, or Go Proven experience building and deploying AI or ML features in production Hands-on with embeddings, vector databases, and LLM-based systems Strong understanding of data pipelines, inference optimisation, and prompt engineering Experience with monitoring, tracing, and scaling backend More ❯

years of experience in software engineering with shipped production systems Strong proficiency across the stack, including React, TypeScript, Python, Node, or Go Proven experience building and deploying AI or ML features in production Hands-on with embeddings, vector databases, and LLM-based systems Strong understanding of data pipelines, inference optimisation, and prompt engineering Experience with monitoring, tracing, and scaling backend More ❯

in Python and TypeScript Experience with Azure or GCP infrastructure Knowledge of distributed systems, microservices, event-driven architectures Strong system design and security principles Bonus points for: AI/ML production experience (MLOps, infra, deployment) Go, Docker, Kubernetes, infra-as-code Healthcare standards (FHIR, HL7, DICOM) What will you get? Base salary £80–100k, plus equity for exceptional candidates Fully More ❯

brands and publishers around the globe across search, social media and display, video and CTV. Home to an award-winning technology solution - with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We’re working with dozens of sources to provide a superior experience across More ❯

brands and publishers around the globe across search, social media and display, video and CTV. Home to an award-winning technology solution - with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We’re working with dozens of sources to provide a superior experience across More ❯

brands and publishers around the globe across search, social media and display, video and CTV. Home to an award-winning technology solution - with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We’re working with dozens of sources to provide a superior experience across More ❯

reliable and scalable data. Support the development of a new cloud-based data platform, driving modernisation from legacy Microsoft systems. Oversee data architecture, modelling, and automation (including elements of ML Ops ). Collaborate with Data Scientists, Analysts, and key business stakeholders to deliver insights that drive tangible business value. Balance hands-on technical delivery with team leadership and stakeholder engagement. More ❯

reliable and scalable data. Support the development of a new cloud-based data platform, driving modernisation from legacy Microsoft systems. Oversee data architecture, modelling, and automation (including elements of ML Ops ). Collaborate with Data Scientists, Analysts, and key business stakeholders to deliver insights that drive tangible business value. Balance hands-on technical delivery with team leadership and stakeholder engagement. More ❯

reliable and scalable data. Support the development of a new cloud-based data platform, driving modernisation from legacy Microsoft systems. Oversee data architecture, modelling, and automation (including elements of ML Ops ). Collaborate with Data Scientists, Analysts, and key business stakeholders to deliver insights that drive tangible business value. Balance hands-on technical delivery with team leadership and stakeholder engagement. More ❯

reliable and scalable data. Support the development of a new cloud-based data platform, driving modernisation from legacy Microsoft systems. Oversee data architecture, modelling, and automation (including elements of ML Ops ). Collaborate with Data Scientists, Analysts, and key business stakeholders to deliver insights that drive tangible business value. Balance hands-on technical delivery with team leadership and stakeholder engagement. More ❯

power, and cloud. Ensure full-stack compliance: electrical safety, EMC, grid codes, battery safety, cyber, interoperability (e.g. OCPP). Capture and manage intellectual property, embedding innovation and AI/ML in products and operations. Engineering Systems & Delivery Build engineering processes from scratch: design reviews, test protocols, release management. Drive reliability, quality assurance and iteration speed to deliver 99.99% uptime in More ❯

handling . The ability to obtain UK Security Clearance (SC) - this is non-negotiable. Ideal Background (Bonus Points): Any prior exposure to LLM APIs, prompt management, or AI/ML integration projects . Experience in setting up or working within Dev, Test, Pre-Prod, and Prod environments. A mindset geared towards creating sustainable and future-proof solutions. Why Join? Immediate More ❯

handling . The ability to obtain UK Security Clearance (SC) – this is non-negotiable. Ideal Background (Bonus Points): Any prior exposure to LLM APIs, prompt management, or AI/ML integration projects . Experience in setting up or working within Dev, Test, Pre-Prod, and Prod environments. A mindset geared towards creating sustainable and future-proof solutions. Why Join? Immediate More ❯

handling . The ability to obtain UK Security Clearance (SC) – this is non-negotiable. Ideal Background (Bonus Points): Any prior exposure to LLM APIs, prompt management, or AI/ML integration projects . Experience in setting up or working within Dev, Test, Pre-Prod, and Prod environments. A mindset geared towards creating sustainable and future-proof solutions. Why Join? Immediate More ❯