376 to 400 of 4,520 Machine Learning Jobs in England

independently operating Solutions Architect. What we look for: Experience, technical customer‐facing and with a background in Data Science/Generative AI/Machine Learning/Data Warehousing or Data Engineering. You will be working in the following any of the following vertical sectors: Real‐money Gaming, Sports ...

data-quality and validation practices.Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively.Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts.Insurance or financial services experience (CII or working towards, desirable).If you are excited about this role but your experience does ...

expanding its team and looking to bring in several Machine Learning Engineers . You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong software engineering fundamentals, hands … data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn ...

skills for querying relational databases. Experience using AI-assisted coding and workflow tools to support reproducible data analysis, with appropriate human review Experience applying machine-learning methods to text classification, named entity recognition, or information extraction Experience with Git/GitHub/GitLab Experience with cloud platforms, especially ...

coaching engineers on safe, compliant adoption within delivery practicesDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Practical experience in cloud computing. Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required ...

skills for querying relational databases. Experience using AI‐assisted coding and workflow tools to support reproducible data analysis, with appropriate human review Experience applying machine‐learning methods to text classification, named entity recognition, or information extraction Experience with Git/GitHub/GitLab Experience with cloud platforms, especially ...

artefacts (templates, examples, checklists) that support effective adoption of recommended practices.* Lead and facilitate the AI engineering knowledge and community activities—curating content, running learning sessions, and integrating feedback into improved guidance.* Review and adapt industry best practices, working with internal experts to publish reusable patterns and architectural recommendations.B … Experience applying software engineering fundamentals: writing tests, structuring user stories, managing iterative releases, and working with CI/CD pipelines.* Experience in AI/ML, software, or platform engineering, with exposure to automated testing and infrastructure‐as‐code or policy‐as‐code.* Working knowledge of AI observability (logs, metrics, traces ...

Demonstrated experience building and deploying AI, data, software or platform products in enterprise or customer environments. Experience with foundation models, large language models, machine learning models or multimodal AI applications. Familiarity with AI agents, retrieval-augmented generation, embeddings, vector databases, semantic search, model APIs or orchestration frameworks. Understanding ...

systemsFamiliarity with information retrieval concepts (e.g., indexing, ranking, query understanding)Exposure to clickstream data, user behavior analytics, and event tracking systemsExperience supporting evaluation of ML-based ranking or retrieval systemsFamiliarity with RAG systems or GenAI applicationsWhy join us Join our team and contribute to a culture of innovation, collaboration … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness ...

infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy ...

fine‐tuning, tailored to diverse product requirements. You will design and build production‐grade inference systems, working across Swift, Java, and Python to integrate ML capabilities seamlessly into Apple's ecosystem. As a senior technical contributor, you will set engineering standards, mentor engineers, and influence the technical roadmap for generative … features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams ...

with all configurations and content managed through Infrastructure-as-Code and DevOps principles.AI - Drive the adoption of emerging AI capabilities across security operations, leveraging machine learning, generative AI, agentic workflows, and Retrieval-Augmented Generation (RAG) to enhance analysis, automate decision-making, and accelerate security response.As the successful candidate ...

reference artefacts (templates, examples, checklists) that support effective adoption of recommended practices.Lead and facilitate the AI engineering knowledge and community activities—curating content, running learning sessions, and integrating feedback into improved guidance.Review and adapt industry best practices, working with internal experts to publish reusable patterns and architectural recommendations.B) Make … augmented solutions.Experience applying software engineering fundamentals: writing tests, structuring user stories, managing iterative releases, and working with CI/CD pipelines.Experience in AI/ML, software, or platform engineering, with exposure to automated testing and infrastructure‐as‐code or policy‐as‐code.Working knowledge of AI observability (logs, metrics, traces, behavioural ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...