151 to 175 of 7,385 Machine Learning Jobs in the UK

reliable production operations.Ability to continuously learn about new developments in Agentic AI and LLM-driven software coding, with demonstrated breadth across AI/ML domains (e.g., computer vision, structured data extraction, plugin/extensibility architectures, and third-party/market-data API integration such as Bloomberg).J.P. Morgan ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … external projects.Skills and Experience RequirementsBSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with MLOps ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … external projects.Skills and Experience RequirementsBSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with MLOps ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … external projects.Skills and Experience RequirementsBSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with MLOps ...

facilities. We have a growing international footprint and are one of Europe’s fastest-growing engineering businesses. About the role We are growing our ML team and hiring across mid, senior, lead and principal levels. We are looking for AI builders; you will be working on developing and deploying … systems to solve complex problems that have real-world impact. You’ll join an existing ML team that works in close collaboration with software, hardware and systems teams to get useful AI into the hands of users. Our ML team works end-to-end, from R&D to deployment, across ...

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 … effectively convey technical concepts and results to both technical and business audiences. Team player.Preferred Qualifications, Capabilities, and SkillsExperience with identity verification fraud models.Experience with ML model explainability.Experience with model risk management frameworks.JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many ...

ready to shape the future of Market Operations with cutting‐edge AI and ML? At JPMorgan Chase, you’ll have the opportunity to lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey … deliver transformative solutions. Join us to collaborate with industry leaders and advance your career in a dynamic, inclusive environment. As an Applied AI & ML Lead in the Market Operations team, you will drive the strategy, design, and delivery of AI/ML solutions that enhance and transform Market Operations. ...

only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every day.Sitting within … Data Science, this is at heart a hands-on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems—building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support the broader range of machine ...

passionate about leveraging technology to make a difference. Discover how you can shape the future of financial services with us. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that directly support and enhance Markets Operations. You will … efficiency across the team. Job Responsibilities Develop and implement advanced machine learning models and algorithms to address operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build ...

passionate about leveraging technology to make a difference. Discover how you can shape the future of financial services with us.As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that directly support and enhance Markets Operations. You will collaborate … driving efficiency across the team.Job Responsibilities:Develop and implement advanced machine learning models and algorithms to address operational challengesDeploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimizationArchitect and oversee generative AI applications to automate and enhance business processesBuild and maintain production-grade ...

only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every day. Sitting … within Data Science, this is at heart a hands‐on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems —building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support the broader range ...

commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI/ML Senior Consultant to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine … across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience ...

four consecutive years as one of the World’s Best Management Consulting Firms.Our Solutions & AI Labs (SAIL) practice are looking for experienced AI/ML Engineers to join the team!The AI/ML Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining … Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements ...

continue to break records across countries, channels and categories, we’re looking for extraordinary talent to join us. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. … solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. We're looking for an AI & ML Engineer who is passionate about building ...

Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability.The AI/ML Senior Manager role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technicalspecialism with the commercial and leadership skills … Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Manager in SAIL, you will own and lead consultancy engagements ...

person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team … latest blogs or our case studies with Women in Tech. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work ...

Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps … engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/ ...

here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Role Overview We are seeking a ML Ops Technical Lead to spearhead our infrastructure, cost-optimisation, and deployment strategies. You will manage a talented team of DevOps engineers while remaining deeply technical … hands-on. Your primary mission is to build, scale, and secure the foundational platforms for our machine learning (ML) and generative AI (GenAI) models while maintaining financial accountability. Your Impact Team Leadership & Collaboration: Lead and manage a dedicated DevOps team, mentoring both junior and senior engineers while collaborating ...

stability of software applications and systemsParticipate in code reviews and provide constructive feedback to peers.Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvementLead communities of practice across Software Engineering to promote awareness and adoption of new and leading … certification on software engineering concepts and applied experienceExperienced in cloud development (AWS), with a focus on application design and development.Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AIProficiency in programming languages such as Java, Python, or Node.js.Strong experience with cloud platforms like ...

deliver against established timelines Explore, prepare, and analyze data sources to support modeling and business insights Contribute to development, testing, deployment, and monitoring of ML and AI solutions Evaluate, communicate, and document modeling approaches, results, assumptions, and recommendations for technical and non-technical audiences Leverage modern development tools, including … Data Analysis Statistical Modeling Cloud Platforms (Azure, AWS) Hard Skills Data Acquisition Model Development Exploratory Analysis AI Techniques Predictive Modeling Statistical Analysis Data Preparation ML Solutions Deployment CI/CD Practices Containerization (Docker) Soft Skills Problem-Solving Communication Collaboration Continuous Learning Independence Certifications & Qualifications Master’s Degree in Quantitative ...

Architecture, and Portfolio Management. The role will sit within the Data service vertical, led by a Head of Data Engineering, and reports into the ML Engineering Manager. Machine Learning Engineer We are looking for an experienced machine learning engineer to join a newly formed ML Engineering … will be key to delivering robust, high‐impact machine learning solutions. You’ll be expected to understand and implement methodologies from the ML OPs life cycle. You’ll also be expected to work in an Agile environment, contributing to iterative development cycles, collaborating across disciplines, and adapting quickly ...

growing, highly skilled team spanning data science, data engineering, AI engineering and DevOps. You'll play a key role in building and deploying machine learning and AI solutions that power business applications and internal processes, helping shape how clients and contractors get to work faster, stay compliant … Master's degree in Data Science, Computer Science, Statistics or a related discipline A proactive, curious mindset with a passion for emerging AI and ML technologies #J-18808-Ljbffr ...

seeking an experienced, technical, and hands-on Autonomy Data Manager to grow and lead a talented team composed of Data Scientists, Data Engineers and ML Ops Engineers, working in the Autonomy team to deliver data driven Planning and Perception solutions. You will lead the team to drive the creation … provide technical guidance in the design, development, deployment, optimization, and evaluation of state‐of‐the‐art data algorithms, data efficiency and pipelines to enable ML model performance with a focus on iteration speed, scalability and overall cost efficiency.Drive a culture of rigorous statistical evaluation to measure, validate and implement evaluation ...

growing, highly skilled team spanning data science, data engineering, AI engineering and DevOps. You'll play a key role in building and deploying machine learning and AI solutions that power business applications and internal processes, helping shape how clients and contractors get to work faster, stay compliant … Master's degree in Data Science, Computer Science, Statistics or a related discipline A proactive, curious mindset with a passion for emerging AI and ML technologies If you would like to hear more, please do get in touch. Alternatively, you can refer a friend or colleague by taking part ...

cost-effective AI solutions.This is a hands-on technical leadership role, ideal for someone currently operating as a Lead AI Architect, Principal AI/ML Engineer, AI Engineering Lead, Principal Architect, AI Practice Lead or similar, and looking to take the next step into an Associate Director-level position.The RoleAs … enterprise and public sector environments.Lead the development and deployment of production-grade Generative AI and Machine Learning solutions.Architect systems integrating LLMs and ML models into wider enterprise applications and workflows.Oversee the full technical lifecycle, from solution design and model selection through to deployment, monitoring and continuous improvement.Design ...