601 to 625 of 4,929 Machine Learning Jobs in England

architecture development, and ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform. Develop and maintain iterative designs aligned to modern engineering practice. Ensure alignment to platform strategy … architecture development, and ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform. Develop and maintain iterative designs aligned to modern engineering practice. Ensure alignment to platform strategy ...

including deposit analytics, liquidity management, balance sheet optimization, and revenue enhancement. Job responsibilities Lead the end-to-end delivery lifecycle of analytics, AI/ML, and business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization … implementation and adoption of business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics ...

including deposit analytics, liquidity management, balance sheet optimization, and revenue enhancement. Job responsibilities Lead the end-to-end delivery lifecycle of analytics, AI/ML, and business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization … implementation and adoption of business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics ...

contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you’ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited … Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers ...

define our data-science best practices, and champion a culture that values experimentation, collaboration, and delivery excellence. Day to day Lead end-to-end ML and optimisation projects, from concept through deployment and post-launch performance analysis. Build, test, and refine predictive and prescriptive models that deliver tangible business outcomes. … Collaborate with data engineers and ML engineers to design robust pipelines integrated with CI/CD workflows, ensuring models are reproducible, version-controlled, and continuously deployed with confidence. Implement monitoring and retraining frameworks to maintain model performance and governance over time. Contribute to our internal ML frameworks and tooling, streamlining ...

Role We are seeking a highly motivated Computer Vision Engineer with a strong background in Deep Learning to join our AI/ML team. You will focus on developing, training, and optimizing models for computer vision applications, working with large-scale image/video datasets, and deploying cutting-edge … Artificial Intelligence , or related field. 2+ years of hands-on experience in deep learning model development and training. Strong proficiency with Python and ML frameworks ( PyTorch , TensorFlow , or Keras ). Solid understanding of CNNs, and ViTs Experience with dataset preparation, augmentation, and preprocessing for computer vision. Strong knowledge ...

designing and delivering AI, data science, and advanced analytics solutions using the Microsoft Azure technology stack. You will work on projects spanning AI, machine learning, and data platforms for customers, taking responsibility from problem definition through to production delivery. Alongside hands‐on technical work, you will help guide … should be comfortable utilising the following capabilities and experience in both client‐facing and internal projects Industry experience in delivering AI and or DS & ML solutions, with a good grounding in all associated areas Running discovery, solution design and other consultative workshops Managing technical and non‐technical client stakeholders ...

values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills And Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile … Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate ...

values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile … Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate ...

values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile … Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate ...

lead development and deployment of cutting-edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident … client-facing skills. What you'll be doing: Leading technical scoping and architectural decisions for high-impact ML systems Designing and building production-grade ML software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with ...

live models. Detecting model drift and deploying model improvements to ensure the reliability of our valuations for lender clients. Researching new datasets and advanced machine learning techniques that can be used to increase … accuracy of our property valuation model and improve our AI capabilities across our model and product range. Work collaboratively with fellow data scientists, ML Engineers, analysts, product managers and data engineers. Meeting with stakeholders to translate business needs into data science problems. You’ll hit the ground running ...

orchestration, state and context management, failure handling, human-in-the-loop experiences, and operational controls Define validation approaches and success measures for AI and ML products, using appropriate offline and online metrics, experimentation, quality thresholds, error analysis, and business impact measures Use customer, campaign, and product data to identify opportunities … Science, or related technical field; or equivalent related professional experience 8+ years of product management experience, including significant ownership of data, platform, automation, AI, ML, or decisioning products Demonstrated experience taking AI or ML capabilities from problem definition or prototype through production launch and ongoing operation at scale Strong understanding ...

sound, scalable, and built to deliver measurable business results. You Will: Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling … your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python‐based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands‐on contributor, working closely with experienced engineers to build reliable, high‐performance systems across devices, cloud platforms, and applied ML, contributing to real‐world, field‐deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python‐based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands‐on contributor, working closely with experienced engineers to build reliable, high‐performance systems across devices, cloud platforms, and applied ML, contributing to real‐world, field‐deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary … research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions ...

environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ML) quickly to prove value before iterating toward complex solutions. End-to-End Execution: Own the complete model lifecycle, from data extraction and feature engineering to deployment … junior data scientists and analysts, helping them troubleshoot roadblocks and adopt best practices. Experience & Skills: 5+ years of applied experience in Data Science or ML Engineering, with a track record of delivering production-ready models that drive measurable business value. Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity ...

Research and Intelligence organisation in London. You'll work across flexible, cross-functional squads within the Data Science team, leading analytical, statistical, and machine-learning work across both UTXO and EVM blockchains. The team develops behavioural heuristics, graph algorithms, statistical models, and machine-learning techniques that … Python and SQL, with a track record of writing clean, testable, production-quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets. Demonstrated ability to learn unfamiliar technical domains and data models quickly; prior blockchain experience is welcome but not required. ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands-on contributor, working closely with experienced engineers to build reliable, high-performance systems across devices, cloud platforms, and applied ML, contributing to real-world, field-deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

production-grade data products that serve analytics, search, recommendations, personalization, and machine learning. You will work closely with product managers, analysts, data scientists, ML engineers, and software engineers to turn ambiguous needs into dependable, well-documented datasets and pipelines.This is a hands-on engineering role for someone who cares … cost without compromising reliability.Enable machine learning and customer experiences• Create versioned training, validation, and inference datasets for search, recommendations, personalization, and other ML products.• Partner with ML engineers and data scientists to make feature computation reproducible and consistent across experimentation and production.• Support experimentation by delivering trustworthy exposure ...

will play a hands-on technical leadership role, working with groups of data scientists, driving the design and delivery of next-generation AI/ML models for merchant risk at Paysafe. Reporting to the Head of Merchant Data Science, you will focus on advanced modelling, applied research, and production delivery … heart of Dublin, whilst our London office is in St Paul's. The impact you will have: Design, prototype, and productionalize advanced AI/ML models for merchant fraud, abuse, chargebacks, and anomalous behaviour. Lead the adoption of modern modelling techniques, including: Transformers and sequence models Representation learning & embeddings ...

grow your career, collaborate globally, and influence the technical vision of our organization. We value your expertise in software engineering and AI/ML, and offer a dynamic environment where your ideas and leadership drive real change. Experience the benefits of working with cutting-edge technology and a supportive, inclusive … team. Together, we push the boundaries of what's possible. As a Software Engineering Lead in our AI/ML Solutions Team, you will architect, design, and deliver secure, high-quality production software systems. You will collaborate with product and business teams to set technical vision and execute strategic roadmaps ...