76 to 100 of 2,936 Machine Learning Jobs in London

Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating AI/ML capabilities into their core SaaS products, which are used by a range of wealth management firms, banks and FinTech organisations globally. More about the company … 2017. London based - twice a week in the office. Work with some of the largest FinTech & Payments companies globally. Investing heavily in AI/ML to simplify processes and enhance their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning ...

ensure the intelligence your team buildshasa real effect on the business. Some of the great things you'll be doing: Leading Delivery of ML and AIsystems Lead and develop a team of ML engineers, creating the conditions for them to deliver robust, scalable systems into production - spanning real-time inference … ambition and delivery reinforce each other Contribute to standards and practices across the wider Data & AI Solutions chapter Technical Leadership Set the standard for ML and AI engineering quality, reproducibility, and production-readiness across your team - covering model pipelines, deployment tooling, system design, and lifecycle automation Take ownership ...

depop.com. Role Depop is looking for a Machine Learning Engineer to join the Ranking team in the UK. You will work alongside ML Scientists, Backend Engineers, MLOps, and other ML Engineers to build, deploy, maintain, and monitor the machine learning systems that power personalised ranking across … users every day. These models are deployed for real-time inference and integrated across multiple services in the Depop platform. As a Senior ML Engineer in this team, you will play a key role in building the infrastructure and systems required to train, deploy, and operate scalable ranking models ...

using statistical rigor to compare alternatives and drive decisions. Collaborate with engineers, product managers, and analysts to translate ambiguous business problems into well‐scoped ML solutions, including data requirements, modeling approach, and success metrics. Apply strong data modeling, feature engineering, and model selection skills across multiple domains, ensuring models … robust, explainable, and performant at scale. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, including monitoring model performance, detecting degradation, and driving continuous improvements in production. Demonstrate familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real‐world products, contributing ...

Data Science Manager Are you an experienced Data Science leader with a passion for building and scaling AI/ML products? Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic … with Engineering teams to productionize AI solutions and drive operational excellence. Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners. Set clear goals, drive accountability, and support career growth and development. Lead performance management, coaching, feedback, and talent development activities. Foster a culture ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you’ll be working with … transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated ML workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance ...

Learning Engineer to join Snap Inc!What you’ll do:Build and deploy machine learning models for core Snapchat productsApply established ML techniques to solve well-defined, real-world problemsContribute to the ML lifecycle, including data analysis, model training, evaluation, and production deploymentCollaborate with cross-functional partners … teammates to implement and launch ML-driven featuresUtilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality codeKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritise duties ...

Knowledge Transfer Partnership (KTP), which is a collaborative project between Compute Maritime Ltd and the University of Southampton. Duties and Responsibilities The Machine Learning Engineer will be required to undertake the following: Translate and embed research into commercially viable solution by managing a series of work packages. Develop … wind-assisted propulsion and rigid sail systems, working with industry stakeholders to validate the tools against practical design requirements. Skills & Experience The successful Machine Learning Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning, AI, Computational Fluid ...

years of experience in software engineering, with strong proficiency in C#, Node.JS, Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and developing machine learning models with Python. Strong problem-solving skills and the ability to break down complex … explore new ideas and approaches. Familiarity with MLOps (Machine Learning Operations) practices, including the deployment, monitoring, and maintenance of AI/ML models in production environments and experience with cloud platforms and deploying AI/ML models in production environments. Even if you don’t meet every requirement ...

Quantitative Researcher – Maths/Statistics/Machine Learning Hikaros Quant Lab (HQL) is a quantitative research and technology lab focused on solving difficult problems in financial markets through mathematics, statistics, machine learning and computation. We are assembling a small, highly selective research team and are looking … quantitative research. You do not need a background in finance or trading. We are particularly interested in people whose expertise comes from mathematics, statistics, machine learning, physics, computer science, scientific computing or other research-intensive disciplines. We believe exceptional research ability is transferable: the financial domain ...

risk decisioning, and business growth initiatives. This is a hands‐on role for someone who combines strong applied machine learning with modern ML Ops practices. We are looking for a data scientist who can take models from exploration through to production, monitoring, and iteration. Key Responsibilities. Work with … data to develop strategies for our products that serve millions of customers and thousands of merchants. Build, validate, deploy, and monitor robust, scalable machine learning models and model pipelines across the risk lifecycle, including onboarding, affordability, life‐time value, credit/default risk, in‐life risk, collections ...

Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things, and excited … offices in London. Responsibilities Collaborate on projects at the intersection of research and product with a diverse, global team Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models Work with complex datasets and representations for model training, evaluation, and analysis Analyze ...

advance financial applications from business intelligence to predictive models and automated decision-making, working closely with Digital & Platform Services Operations. As an Applied AI ML Senior Associate in the Commercial & Investment Bank, you will apply data analytics techniques from traditional statistics and machine learning to various datasets, aiming … with Digital & Platform Services Operations teams and other stakeholders to support the Corporate & Investment Bank and its partners. Job Responsibilities Research and develop innovative ML-based solutions to address Operations' most challenging problems. Build robust Data Science capabilities scalable across multiple business use cases. Collaborate with the software engineering team ...

analytics to enable transformation across R&D, clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient engagement. You will combine … optimization and pharmacovigilance Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned to business objectives Create governance frameworks to ensure AI solutions meet regulatory and ethical requirements (e.g., GDPR ...

initiatives, AI solutions and emerging technologies. Evaluate technology development, change management, model governance, AI lifecycle management, data quality and cybersecurity controls. Review AI solutions, machine learning models and intelligent agents for governance, accountability, explainability, fairness, transparency and regulatory compliance. Perform risk assessments and identify emerging technology … Azure AI, Azure OpenAI, Snowflake, Dataiku or equivalent. Practical knowledge of Generative AI, Large Language Models, Retrieval Augmented Generation, Agentic AI, multi‐agent systems, machine learning or predictive analytics. Experience with AI and data solution lifecycle controls, including data quality, data lineage, model testing, prompt testing, access controls ...

looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data sciencealgorithms,while building, leading, nurturing and retaining a high … Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer ...

opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables advanced AI services to deliver real-world impact at scale. … cloud infrastructure that supports machine learning and AI services in production. Deploy, manage, and monitor machine learning models using Azure ML, Azure Kubernetes Service (AKS), and related Azure services. Design and develop robust orchestration pipelines for model training, deployment, inference, and retraining workflows. Implement infrastructure ...

within our Search Marketing & Tech organization at Expedia Group. This role is for someone who has demonstrated a track record of delivering high-impact ML projects from concept through production, partnering closely with engineering teams on multi‐quarter initiatives that drive measurable business outcomes. Our team builds and optimizes … ML models that power metasearch bidding and auction strategies across key partners (Google Hotel Ads, Trivago, Tripadvisor). As a senior technical leader, you will own end-to-end ML solutions for a domain area, define the technical roadmap, and drive the execution of complex projects that improve customer experiences ...

advanced machine learning models and AI applications. This is an opportunity to contribute to the development of data science products, combining classical ML techniques with emerging LLM-based solutions. Key Responsibilities Analyse and process large datasets from multiple sources. Develop and evaluate machine learning models … learning and data science. Experience with classical machine learning and LLM development and evaluation. Understanding of problem framing and AI/ML evaluation metrics. Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG). Experience designing experiments and working with model cards. Ability to interpret complex statistical ...

inspire teams of Data Scientists Create bespokemachine learningsolutions to model/solve problemsandto help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics … identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning modelsto delivercomplex/critical projects Devise reusable assets, solutions and develop best practicesfor current and future business problems Lead analytical discussions and influence analytical direction ofclient'steams Communicate and provide guidance ...

solutions within a dynamic environment. The role focuses on building and deploying machine learning models, primarily in Gen AI and classical ML, supporting the company's innovative projects. Our client specialises in AI and ML services and maintains a collaborative, business-oriented culture that values technical excellence … across full-stack AI development. Responsibilities include prototyping models, developing production pipelines, and ensuring deployment success. Success in this role means delivering robust, scalable ML solutions aligned with business needs. Key Skills & Experience Lead development of machine learning models, from initial prototyping to deployment. Manage full lifecycle including ...

Applied AI Machine Learning VP (Fraud Modelling) in the ICB Risk Modelling team, you will play a crucial role in developing and managing machine learning models used to mitigate fraud risk within ICB. You will work with multiple partner teams—including Strategy, Technology, Product Management, Legal … concepts and results to both technical and business audiences. Team player. Preferred Qualifications, Capabilities, and Skills Experience with identity verification fraud models. Experience with ML model explainability. Experience with model risk management frameworks. #J-18808-Ljbffr ...

reviewing designs, guiding modelling and retrieval choices, and contributing hands-on where it helps...• Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work, and help the team realise...Requirements & Details:• You have deep machine learning expertise … Staff engineers, and you help experienced people grow their impact• You have a clear, informed point of view on using AI to improve how ML engineers work, and you can inspire a team to...Job Type: Full-timeWork Mode: HybridApply directly on the Spotify careers page using the Apply button.Company: SpotifyLocation ...

Help shape how AI is built, deployed, and scaled across JPMorganChase. You will work on business-critical products that apply modern machine learning to software, cybersecurity, and technology infrastructure. You will partner with engineers and research teams to take ideas from prototype to production. If you enjoy solving … architecture. You will help the team deliver trusted, market-leading AI technology products through modern engineering practices. Job Responsibilities Collaborate with data scientists and machine learning engineers to deliver AI products into production Design, develop, deploy, and maintain full stack AI applications and services Build and maintain data ...

people who thrive at Oritain are motivated by building, improving and creating. They enjoy helping others succeed and are open to feedback and learning, regardless of experience level. They bring energy, curiosity and a clear point of view. They can make progress when information is incomplete and know … balance speed with quality. What you'll be doing Provide technical leadership across statistical and machine learning projects. Mentor and support other data scientists, helping raise capability across the team. Lead a high-performing, engaged team that delivers meaningful outcomes and contributes positively to Oritain's culture. Partner ...