1 to 25 of 30 Remote/Hybrid Machine Learning Jobs in Leeds

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 ...

data science can enhance decision‐making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you’ll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You’ll also: Lead, coach and develop a team of Data … professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non‐technical stakeholders Identify ...

engineering in collaboration with senior technical customers and cross-functional teams.The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation … itWhat we’re looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow ...

refactoring, and performance optimization to contribute to advanced AI research and evaluation projects . You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with … Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization . Develop reproducible environments ...

/ELT tooling, with a focus on performance, data quality, and reliability, incorporating virtualization.Front end user tooling such as reporting and dashboarding, advanced analytics, machine learning and A.I.AWS and Azure Cloud Native products e.g. Glue, Dataflow, DatabricksDemonstrable leadership experience, including leading engineers or technical teams and guiding delivery …/ELT tooling, with a focus on performance, data quality, and reliability, incorporating virtualization.Front end user tooling such as reporting and dashboarding, advanced analytics, machine learning and A.I.AWS and Azure Cloud Native products e.g. Glue, Dataflow, DatabricksInterviews will take place via video link. Sift and interview dates ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative or agentic AIExperience working in security-focused or regulated environmentsFamiliarity with ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

consulting.Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs.Job DescriptionThis … InformationBenefits include:Hybrid working model with some flexible working25 days’ holidayPrivate Medical Health care via VitalityPension contribution, Life AssuranceProfessional certifications supported as part of learning and development.A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services.Access ...

Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.· Demonstrable experience with AI/ML services on Google Cloud, with a strong understanding of how platforms like Gemini Enterprise can drive business value.· Strong understanding of cloud security best practices ...

refactoring, and performance optimization to contribute to advanced AI research and evaluation projects . You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with … Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization . Develop reproducible environments ...

data protection.Awareness of public cloud security concepts and tooling, with hands‐on experience an advantage.An interest in and understanding of AI technologies, including machine learning concepts and generative AI use cases.Familiarity with security frameworks and regulations such as ISO 27001, NIST, or UK GDPR, and how these apply … Opportunity to help shape AI security strategy at national scale.An environment that supports experimentation, an engineering-forward approach, and continuous learning.Training, certifications, and learning pathways across AI, Cloud, Security Engineering, and Architecture.This is a place for you...Our ambition is to be the leading UK business for diversity, equity ...

architectures enabling interoperability across CDEs, BIM, and enterprise systems.Basic understanding of Power BI and data visualisation, translating data into actionable insights.Awareness of AI and machine learning applications (e.g. automation, classification, predictive analytics).Experience with cloud platforms (e.g. Microsoft 365, SharePoint) supporting secure information management.Domain KnowledgeDeep understanding ...

master's degree would be an asset. • Highly self motivated, with a track record of taking initiative and a genuine appetite for continuous learning and development. • Knowledge of and experience with farm machinery and emerging agricultural technologies. • Understanding of field layouts, experimental design and research data analysis. • A genuine … passion for innovative research, learning new technologies and building new skills. • Experience with potato production would be an asset. • Detail oriented, dependable and positive, with the ability to work well both independently and as part of a team. • Experience with programming languages, preferably open source such as Python, along ...

report progress and issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist. Execute the application of machine learning and statistical modelling tools suited to the identified initiative. You'll be skilled at storytelling, being able to explain the generated solution … Given the pace of change in new technologies and techniques, you will show commitment to keeping your own knowledge up to date through self-learning, and be supported with opportunities to complete relevant courses, attend industry events, and obtain technical certifications. You will also be given the opportunity ...

technologies evolve.This is a role with real impact, working on high‐profile technology that’s shaping the future of banking, while continuously learning and staying ahead of emerging threats.Why Join us? If you think all banks are the same, you’re wrong. We’re a pioneering, fast-changing business … configuration/operation of security tooling, such as Web Application Firewalls (WAFs). (2+ years exp)Solid knowledge of AI technologies including machine learning concepts, common model architectures, and emerging generative AI capabilities.Experience with security frameworks and regulations, such as ISO 27001, NIST and UK GDPR. (5+ years ...

Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. About the role … model with some flexible working 25 days’ holiday Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services Access ...

Experience developing consulting case studies, business frameworks, executive presentations, or strategic recommendations . Experience evaluating complex analytical or strategic work products. Familiarity with AI, machine learning, AI model evaluation, or AI training projects is a plus. Strong experience communicating recommendations to senior executives and stakeholders . Compensation Competitive ...

evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading and developing architecture teams ...

consulting.Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs.Job DescriptionAs a Software … InformationBenefits include:Hybrid working model with some flexible working25 days’ holidayPrivate Medical Health care via VitalityPension contribution, Life AssuranceProfessional certifications supported as part of learning and development.A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services.Access ...

skills and experience: ITIL v3/v4Professional IT QualificationsProfessional Management QualificationsAdditional Languages: Italian/GermanContent & Metadata Processing WorkflowsDTH & OTT Delivery Principles & TechniquesCloud Operations AI & Machine Learning Big DataMajor Incident Manager in a multicultural Tech/Media CompanyExcel and TableauBenefits and perks There's one thing people ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What you’ll need...Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning ...