1 to 25 of 2,896 Machine Learning Jobs in London

About the Company Our client is a boutique investment firm at the forefront of quantitative investing, combining advanced machine learning, artificial intelligence, and fundamental research to support investment decision-making. The firm has built a sophisticated in‐house data and analytics platform that enables researchers and portfolio managers … specialists to solve complex problems across financial markets. Researchers have direct exposure to decision‐makers and play a meaningful role in shaping investment outcomes. Machine Learning Engineer (Quant).docx [Machine Le...er (Quant) | Word] The Opportunity This is a unique opportunity for a Machine Learning Engineer ...

/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation … LLMs or recommendation systems Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive ...

marketplace. Ready to join the team that's defining the future of digital advertising The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain high-frequency ML infrastructure that prices millions of advertising opportunities per second in a real-time auction environment … concepts, and build out scalable real-time production systems to tackle challenges the company faces.What you'll do:• Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second, efficiently.• Run Machine Learning experiments ...

Senior Machine Learning Engineer Salary: £80,000 – £90,000 Location: London|Hybrid Data Idols are working with an innovative technology business that is continuing to invest in its Machine Learning and AI capabilities. They are looking for a Senior Machine Learning Engineer to help … build and deploy high-performance Machine Learning solutions, working across modern AI and Generative AI technologies. You’ll work across the full ML lifecycle, from experimentation and development through to deployment, monitoring and optimisation in production. You’ll help establish robust MLOps practices and ensure Machine Learning ...

been removed by the job board, full contact details are readily available on our website). Keywords: Machine Learning Researcher/ML Research Scientist/Applied Machine Learning Scientist/AI Researcher/Research Engineer/Machine Learning Engineer/AI Engineer/Applied … Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge AI/TensorFlow/scikit-learn ...

across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning ...

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity … apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly ...

## Senior Manager, Machine Learning ScienceApply: UK - London: Full time: Posted Today: End Date: November 13, 2026 (29 days left to apply): R-110429At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships … Qualifications:** Required* 4-5+ years of people leadership experience managing Machine Learning Scientists, Applied Scientists, Data Scientists, or multidisciplinary AI/ML teams.* Master’s degree in computer science, machine learning, statistics, mathematics, or a related technical field; or equivalent related professional experience.* Significant experience ...

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex … tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners ...

across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning ...

Founding Machine Learning Engineer | Early-Stage AI Start-Up | London Founding Machine Learning Engineer required to join an early-stage AI start-up in London, building cutting-edge technology from the ground up and solving real world problems. This is an opportunity to join … earliest stage, work closely with the founding team, and take significant ownership over the development of the company\'s core machine learning systems. You\'ll have the freedom to experiment, move quickly, and directly influence both the technology and product as the company grows. You are: A Machine ...

create innovative products, services, and tools that deliver high-quality experiences for travellers, partners, and employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that build loyalty and traveller satisfaction. The Content AI team develops content intelligence capabilities that … Qualifications: Required 4-5+ years of people leadership experience managing Machine Learning Scientists, Applied Scientists, Data Scientists, or multidisciplinary AI/ML teams. Master’s degree in computer science, machine learning, statistics, mathematics, or a related technical field; or equivalent related professional experience. Significant experience ...

assess model performance and guide technical direction. Collaborate with engineers, product managers, applied scientists, and domain experts to translate ambiguous business problems into scalable ML solutions. Contribute to system design, low-level design, API development, and data modelling for production machine learning systems. Build and operate production solutions … using technologies such as Python, TensorFlow, PyTorch, Redis, Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build ...

create innovative products, services, and tools that deliver high-quality experiences for travellers, partners, and employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that build loyalty and traveller satisfaction. In this role, you will: Manage, coach, and develop … Qualifications: Required 4-5+ years of people leadership experience managing Machine Learning Scientists, Applied Scientists, Data Scientists, or multidisciplinary AI/ML teams. Master’s degree in computer science, machine learning, statistics, mathematics, or a related technical field; or equivalent related professional experience. Significant experience ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced … Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding of computer science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. ...

innovation in this fast evolving space as new technologies reshape how money moves. In this role, you will work at the forefront of modern machine learning and generative AI to deliver meaningful, lasting impact on global finance. You will partner closely with product, operations, risk, and technology teams … measurable outcomes. You will also have opportunities to mentor others and help shape how we build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment of machine learning ...

dedicated to supporting the advancement science and technology in an innovative environment, we encourage you to apply! Role Overview We are seeking a Machine Learning Engineer to advance data-processing and model-building and deployment capabilities at Bind. This role includes developing new machine-learning models … productionizing these models internally and externally, contributing to open-source software, and large-scale data analysis, curation, and pipeline building. Key Responsibilities Develop innovative machine learning approaches to elucidate and quantify the interactions between small molecules and intrinsically disordered proteins Integrate molecular simulations and deep learning approaches ...

world’s leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. With … learning community. Responsibilities Shape the long-term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof-of-concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using … Master’s or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. Lead the end-to-end design, development ...

complex use cases Working with predictive modelling and Machine Learning techniques Taking models from development through to production Embedding AI/ML solutions into real-world business environments Solving complex technical and business problems Helping shape and develop the organisation's wider AI/ML capability Working across … commercial experience within AI/Machine Learning Hands-on LLM/Generative AI experience Strong Python experience Experience developing and training complex ML models Predictive modelling/predictive Machine Learning experience Experience taking models into production environments Knowledge of MLOps and production ML practices Excellent analytical ...

cover, 16 months)Apply: London: Full time: Posted Today: 0000039362**Job Description**#LI-KO1 Just imagine turning millions of customer interactions into production-ready machine learning models that deliver more relevant, personalised experiences. Then make it real. **About the role**As our Senior MLOps Engineer, you’ll bring … machine learning models out of the workshop and into dependable production environments during this 16-month parental cover. You’ll make deployment and monitoring smoother, strengthen our machine learning operations framework and help manage risks across live systems. Along the way, you’ll connect data science ...

Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI. The Machine Learning Engineer role sits within Client Delivery, embedded … Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning ...

products that make the most of Trainline's extensive datasets and the latest algorithms Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows Provide technical mentorship and support the development of less experienced engineers, without formal people management responsibility Take an active role … ML community, helping foster a culture of rigorous learning and experimentation We'd love to hear from you if you have An advanced degree in Computer Science, Mathematics or a related quantitative discipline, or equivalent experience Considerable experience productionising machine learning models, with strength in an area ...

fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This is AI's moment at Fitch … moving decisively. We have executive sponsorship, significant investment, and we're establishing Toronto as our AI innovation center. As a Lead ML Engineer, you'll be a technical champion driving this transformation—building breakthrough ML systems that others will study, mentoring engineers who will become tomorrow's AI leaders ...

Scientist/Machine Learning Engineer Role We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream’s physiological monitoring and alert systems. You will work closely with the biostatistics team to translate probabilistic and Bayesian models … into deployable algorithms that operate on real-world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi-sensor inputs in complex and noisy environments. You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate ...