76 to 100 of 350 Machine Learning Jobs in the City of London

designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial crime prevention, leveraging AI and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial … crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI/ML-based financial crime solutions. Working with external stakeholders to bring on new business and develop existing relationships Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and … Strong experience in financial crime or forensic analytics. Proven leadership experience managing technical teams. Deep understanding of Python and its application in financial crime analytics. Experience with AI and machine learning techniques. Background in selling financial crime products or solutions. Experience working within a UK bank or consultancy environment. Strong domain knowledge across financial crime, fraud, conduct risk More ❯

designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial crime prevention, leveraging AI and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial … crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI/ML-based financial crime solutions. Working with external stakeholders to bring on new business and develop existing relationships Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and … Strong experience in financial crime or forensic analytics. Proven leadership experience managing technical teams. Deep understanding of Python and its application in financial crime analytics. Experience with AI and machine learning techniques. Background in selling financial crime products or solutions. Experience working within a UK bank or consultancy environment. Strong domain knowledge across financial crime, fraud, conduct risk More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. Are you passionate about Data and … First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. What are we looking for? Proven More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. Are you passionate about Data and … First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. What are we looking for? Proven More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer , with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning … these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Essential skills 🙏 Experience leading and mentoring other ML engineers Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience taking More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer , with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning … these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Essential skills 🙏 Experience leading and mentoring other ML engineers Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience taking More ❯

and adoption. Key Responsibilities Cloud Strategy & Innovation Define and lead the global Azure cloud strategy, ensuring alignment with digital transformation and business goals. Drive the adoption of AI and machine learning capabilities within Azure to improve efficiency and enhance customer experience. Continuously assess emerging technologies and trends to evolve the cloud roadmap. Architecture & Design Partner with Microsoft and … Transformation Collaborate with architects and engineering teams to modernise legacy systems and enable cloud-native development. Lead the integration of Azure AI services (including Azure OpenAI, Cognitive Services, and Machine Learning) into key business applications. Global Operations & Service Delivery Oversee 24/7 global cloud operations, ensuring optimal availability, performance, and reliability. Implement and manage service support models … years focused on Azure cloud strategy and operations. Proven track record managing large-scale, global cloud environments and distributed teams. Deep expertise in Azure services, cloud architecture, AI/ML integration, and managed service delivery. Excellent leadership, communication, and stakeholder management skills. Strong financial acumen, with experience in cloud cost optimisation and budgeting. Demonstrated ability to build and evolve modern More ❯

Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data infrastructure that power … data in entirely new ways. What you’ll do Design and own backend architecture for large-scale, data-intensive applications. Develop and optimize APIs that handle complex biological and ML-driven workloads. Build and maintain data pipelines for ingesting, transforming, and serving scientific data at scale. Deploy and manage infrastructure across Kubernetes and AWS, ensuring robustness and observability. Drive system … reliability through automated testing, monitoring, and fault-tolerant design. Collaborate across disciplines , working with ML engineers, biologists, and platform teams to ensure seamless integration between computation, data, and science. You should have Deep experience building and scaling backend systems and distributed applications . Strong coding skills in Python , with an understanding of performance tuning and concurrency. Hands-on experience with More ❯

Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud infrastructure, and scientific research to accelerate discoveries in life sciences. As a Staff Backend Engineer , you’ll build the distributed systems and data infrastructure that power … data in entirely new ways. What you’ll do Design and own backend architecture for large-scale, data-intensive applications. Develop and optimize APIs that handle complex biological and ML-driven workloads. Build and maintain data pipelines for ingesting, transforming, and serving scientific data at scale. Deploy and manage infrastructure across Kubernetes and AWS, ensuring robustness and observability. Drive system … reliability through automated testing, monitoring, and fault-tolerant design. Collaborate across disciplines , working with ML engineers, biologists, and platform teams to ensure seamless integration between computation, data, and science. You should have Deep experience building and scaling backend systems and distributed applications . Strong coding skills in Python , with an understanding of performance tuning and concurrency. Hands-on experience with 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 ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. … and having plenty of fun along the way. We’re looking for an experienced and driven Programme Manager to lead the successful delivery of complex, high-impact AI and Machine Learning initiatives. This isn’t just about overseeing projects — it’s about shaping client outcomes, driving commercial growth, and developing talented teams that deliver real impact at scale. … them to delivery outcomes, and communicate complex technical ideas simply. Collaborate closely with technical leads and data scientists to ensure solutions are feasible, scalable, and valuable. Champion AI and ML excellence across the business. Contribute to shaping our go-to-market offerings and service lines. Bring market insights and emerging tech trends into our delivery model. What you bring Proven More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. … and having plenty of fun along the way. We’re looking for an experienced and driven Programme Manager to lead the successful delivery of complex, high-impact AI and Machine Learning initiatives. This isn’t just about overseeing projects — it’s about shaping client outcomes, driving commercial growth, and developing talented teams that deliver real impact at scale. … them to delivery outcomes, and communicate complex technical ideas simply. Collaborate closely with technical leads and data scientists to ensure solutions are feasible, scalable, and valuable. Champion AI and ML excellence across the business. Contribute to shaping our go-to-market offerings and service lines. Bring market insights and emerging tech trends into our delivery model. What you bring Proven 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 (url removed) Spectrum IT Recruitment More ❯

60k-£90K | Lucrative Stock Options Are you an experienced Optical Engineer with experimental experience with Optical Systems? Are you looking to work on cutting-edge products in AI and Machine Learning? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on the cutting edge … of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. They are looking for a Senior Optical Engineer to join them in their mission to revolutionise AI systems whilst reducing energy consumption and striving for a sustainable future. Key responsibilities: Work within the optical network integration team in close collaboration with other More ❯

60k-£90K | Lucrative Stock Options Are you an experienced Optical Engineer with experimental experience with Optical Systems? Are you looking to work on cutting-edge products in AI and Machine Learning? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on the cutting edge … of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. They are looking for a Senior Optical Engineer to join them in their mission to revolutionise AI systems whilst reducing energy consumption and striving for a sustainable future. Key responsibilities: Work within the optical network integration team in close collaboration with other More ❯

description: Stats Perform is the global leader in sports tech, delivering the most trusted sports data to the worlds biggest names in sports, media, and broadcasting. Using AI and machine learning, we transform decades of data and live game insights into powerful tools for coaches, teams, media, and sportsbooks. The result? Smarter decisions, deeper fan engagement, and a … specialists to elite journalists and cloud engineers, our team turns raw numbers into magic. Our tech experts work with advanced cloud solutions, Java, JavaScript, and Python, using AI and machine learning to extract insights and deliver them via APIs. Were looking for a visionary and commercially astute leader to join our Rights team as VP of Rights. This More ❯

products. Now, we’re bringing that same spirit of quality and innovation to software: a putting simulator for iPhone that pairs with our ‘AirBreak’ putting platform, using on-device machine learning to turn putting practice into interactive game modes and skills challenges. What you’ll do: Lead development of our iOS putting simulator app – evolve … a working MVP that already detects the playing surface, balls and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer … to create well-structured and maintainable code. What you’ll bring: Strong track record of shipping iOS apps in Swift using native frameworks. Experience integrating and optimising on-device machine-learning or computer-vision models. Engineer for accuracy and responsiveness - balancing performance and thermal limits while keeping the codebase simple to test and extend. Able to explain decisions More ❯

products. Now, we’re bringing that same spirit of quality and innovation to software: a putting simulator for iPhone that pairs with our ‘AirBreak’ putting platform, using on-device machine learning to turn putting practice into interactive game modes and skills challenges. What you’ll do: Lead development of our iOS putting simulator app – evolve … a working MVP that already detects the playing surface, balls and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer … to create well-structured and maintainable code. What you’ll bring: Strong track record of shipping iOS apps in Swift using native frameworks. Experience integrating and optimising on-device machine-learning or computer-vision models. Engineer for accuracy and responsiveness - balancing performance and thermal limits while keeping the codebase simple to test and extend. Able to explain decisions More ❯

ML & Cloud Infrastructure Engineer Up to £180,000 London (Hybrid, 3/4/5 days onsite per week) Company: Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission is to redefine how industries, from robotics and AR/… VR to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale … applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization Proficiency More ❯

ML & Cloud Infrastructure Engineer Up to £180,000 London (Hybrid, 3/4/5 days onsite per week) Company: Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission is to redefine how industries, from robotics and AR/… VR to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale … applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization Proficiency More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next … for performance, scalability, and accuracy Essential skills 🙏 Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience working with entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next … for performance, scalability, and accuracy Essential skills 🙏 Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience working with entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring More ❯

Member of Technical Staff (Applied ML) – Agentic AI 📍 London, UK - Hybrid/Flexible (must be UK-based already | 💰 £200k+ & Equity A new frontier in AI infrastructure is being built, and we’re hiring the founding technical team to make it happen. Mission: to create super-intelligence as a copilot for AI teams. A system that enables enterprises to move from … experimentation to full-scale production without the need for a massive ML engineering organisation . An early-stage, high-impact startup founded by engineers and researchers from Google, Spotify, and Uber , backed by some of the world’s most influential investors . With offices in London and San Francisco , they’ve just completed a major funding round and are scaling … toward Series A in early 2026 . The Role We’re looking for a Member of Technical Staff (Applied ML) who thrives on building systems that work in the real world. You’ll join as one of the company’s first 10 engineering hires, shaping the core architecture, training stack, and intelligent agent frameworks that define how AI systems reason More ❯