676 to 700 of 2,058 Machine Learning Jobs in the UK excluding London

Control – Git, DataOps.live, and experience of CI/CD for data pipelines. Good to have certifications in Experience supporting data science and AI/ML workloads as a consumer of the pipelines you build. Additional specialist cloud or devops certifications What You'll Get A competitive salary dependent on capability ...

voice of the external developer inside Fractile - turning real deployment pain into roadmap priorities. Work in a tight hardware‐software co‐design loop with ML compiler, runtime, systems software, and silicon engineers to shape APIs and abstractions before they ossify. It would be great if you have: Strong software engineering … on. Excellent Python skills, with solid experience of one or more systems languages such as Rust, C++, or Go. A good understanding of modern ML workloads and the practical challenges of deploying large language models to production. Empathy for the developer experience - you instinctively reduce the number of steps, surprises ...

shape product strategy, define priorities, and translate customer and business needs into effective technical solutions Experience working with AWS technologies and a range of machine learning tools and frameworks An interest in reverse‐engineering codebases, where necessary, to understand the inner workings of legacy products Experience interviewing … snacks, and drinks provided in the office Comprehensive health, safety, and wellness service available 24/7 for you and your family Two paid Learning & Development days per year plus access to learning resources such as Udemy and Coursera to support your career Two Volunteering Days per year ...

shape product strategy, define priorities, and translate customer and business needs into effective technical solutions Experience working with AWS technologies and a range of machine learning tools and frameworks An interest in reverse‐engineering codebases, where necessary, to understand the inner workings of legacy products Experience interviewing … snacks, and drinks provided in the office Comprehensive health, safety, and wellness service available 24/7 for you and your family Two paid Learning & Development days per year plus access to learning resources such as Udemy and Coursera to support your career Two Volunteering Days per year ...

training pipelines • Source and, where appropriate, preprocess datasets for training and evaluation • Fine-tune and optimise open weight models (LLMs, vision or traditional ML) • Build evaluation frameworks and define performance metrics • Develop and maintain data pipelines and training workflows • Analyse training pipelines and optimise for latency, cost and scalability • Implement … solid understanding of model evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building and maintaining ML pipelines in production • Familiarity with GPU usage and optimisation • The ability to debug ...

interpret studies supporting model development. Communicate modelling results through reports, presentations, publications, and regulatory documents. Contribute to innovations in modelling, automation, and AI/ML-enabled predictive approaches. What We're Looking For PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering, or related discipline. Strong expertise … track record of scientific contribution. Desirable Experience PBPK/PBBM regulatory submissions. Virtual bioequivalence and clinically relevant dissolution specifications. Python, R, or MATLAB programming. Machine learning/data science applications in drug development. If you're passionate about using modelling and simulation to accelerate pharmaceutical innovation and improve ...

data platforms within public sector, defence or other regulated environments Experience working within secure environments and understanding associated security and assurance requirements Exposure to machine learning or AI workloads and the data platforms that support them Why people choose to grow their careers at UBDS Group Professionals choose … Group, employees are given unique opportunities to work on cutting‐edge projects across a diverse range of industries, exposing them to new challenges and learning opportunities that are pivotal for professional growth. The Group’s culture emphasises continuous improvement, offering ample training programs, mentorship, and the chance to gain ...

This is a hands-on role where youll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, youll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps) . Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

Aioi R&D Lab – Oxford is seeking a Senior Machine Learning Engineer to translate research into robust, production‐ready ML services within a privacy‐sensitive, multi‐partner environment. You will set ML engineering and MLOps direction for CODAS workstreams and lead how research gets built, tested, and shipped. ...

such as CI/CD, application resiliency, and securityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)In-depth knowledge of the financial services industry and their IT systemsPractical cloud-native experienceHands-on experience using enterprise-authorized … MQProficiency in both SQL and NoSQL databasesExperience working with private and public cloud environmentsFamiliarity with Agile and Kanban methodologiesExposure to AI/ML concepts and their application within engineering workflowsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations ...

/CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile) In-depth knowledge of the financial services industry and their IT systems Practical cloud-native experience Hands-on experience using enterprise-authorized … both SQL and NoSQL databases Experience working with private and public cloud environments Familiarity with Agile and Kanban methodologies Exposure to AI/ML concepts and their application within engineering workflows ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

experience delivering production solutions, supported by a portfolio or real-world examples. Strong interest in AI, automation and emerging technologies, with evidence of continuous learning and experimentation. Experience making architectural and technical decisions independently. Hands-on experience building and deploying AI solutions using modern AI platforms and large language … Azure Functions, Azure AI Search, Semantic Kernel, Microsoft Agent Framework or similar technologies. Experience with data modelling, governance, security and enterprise architecture. Exposure to machine learning, predictive analytics or forecasting solutions. Relevant Microsoft or cloud platform certifications, such as AI-102, AI-103, AB-620 or equivalent. ...

Data Engineer IntelliAM is an intelligent asset management company specialising in industrial IoT data. We ingest high-frequency factory and sensor data, apply machine learning techniques, and present high value actionable insights to analysts and customers. We are building a cutting-edge UNS aligned Industrial IoT data platform … modular code). Modelling Implementation: Support the implementation of the “Unified Name Space” (UNS) across the data estate, to include schema and path standardisation; machine hierarchies and semantic relationships; and methodologies for validation and processing of data against contracts. Enablement: Establish a stable data serving layer for Grafana ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...