1,026 to 1,050 of 2,827 Machine Learning Jobs in England

such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. Experience building and supporting scalable data integration solutions. Desirable Exposure to AI/ML integrations. Experience with DevOps, CI/CD, and Infrastructure as Code. Background in a regulated industry is advantageous. Join a collaborative team working with modern ...

learn and work across the wider platform. Desirable Databricks/PySpark NoSQL/Cosmos DB Infrastructure as Code/DevOps automation AI/ML data integration Automotive or insurance industry experience If this sounds of interest please apply with an up to date version of your CV for immediate consideration. ...

Server SSAS Tabular (DAX), Dimensional Modelling, Data Warehousing. Ecosystem & Management: Azure DevOps, SQL MI/DB, Active Batch, APIs, Event Hub, Kafka, AI/ML concepts. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

will be considered Financial services/asset management exposure is a plus, not a prerequisite — as is any experience with AI-assisted analytics or ML use cases A proactive, curious mindset with strong communication skills and attention to detail Degree in a quantitative field (Data Science, Computer Science, Business Analytics ...

professional software engineering experience delivering production systems. 2+ years of hands‐on experience building AI‐centric systems (LLM‐based, RAG, agentic AI, or ML‐driven applications). Demonstrated experience delivering and operating LLM‐based solutions in production (LLMOps). Ability to contribute meaningfully across multiple layers of an application stack. ...

Warehouse context. Mandatory Certifications/Clearance Active SC Clearance . AWS Certified Cloud Practitioner (or higher). Azure AI Fundamentals (or practical awareness of ML/AI services). Desirable Experience Big Data and Cloud Processing: Hands-on experience with AWS (EMR, S3, Lambda, Redshift, Athena, CloudWatch) and PySpark/ ...

regulatory controls. You will design, develop, and maintain secure, reliable, and scalable data solutions that support buisness controls, analytics, reporting, and AI/ML use cases across the firm. You will collaborate with domain teams, platform engineering, and operations partners to deliver high-quality curated datasets aligned to our data ...

Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular). Experience with ...

APIs, and event‐driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. Experience ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

operational data according to sensitivity and security requirements. Designing and maintaining critical data delivery systems – encompassing both realtime data, historical data and AI/ML use‐cases. Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements. Capable of finding a balance between best ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

with each feature. About you: Qualifications and experience: Essential: Degree in computer science, software engineering or a related discipline, or demonstrably equivalent professional experience. ML operations capability: comfortable operating model-serving infrastructure and running established training and evaluation pipelines on Linux/GPU hardware process management, resource monitoring, versioned promote ...

external developer inside the company — 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 fundamentals … 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 ...

evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal‐level technical leadership. Hands‐on experience … building and shipping AI/ML products in production Deep practical experience with LLM‐based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands‐on expertise with vector databases, graph databases, and knowledge graphs End‐to‐end exposure in model lifecycle development, including extensive experience training ...

needs and provide actionable insights. Ensure data quality and integrity through regular audits and validation processes. Mentor and guide junior data scientists, fostering continuous learning and improvement. Your Day to Day Lead advanced deep‐dive analyses to produce clear narratives on key business questions. Apply sophisticated quantitative methods such … machine learning, causal inference, synthetic controls, difference‐in‐differences, and propensity score matching. Build and evolve customer segmentation frameworks to reveal behaviorally distinct cohorts. Analyze cross‐product engagement impacts on retention, monetization, and long‐term value. Monitor key consumer funnel metrics across products, segments, and geographies. Develop business ...

cutting edge of the field, with current research threads including: System Understanding: Interpretability, steering vectors, and the science of evaluations. Control & Alignment: Goal drift, machine unlearning, and uncertainty calibration. Societal Safeguards: Misinformation mitigation and robust deployment boundaries. We collaborate closely with the the company’s wider AI safety team … labs, or evaluation roles. Deep knowledge of language models and generative AI architectures, including white-box techniques beyond API-level access. Strong foundation in machine learning fundamentals, particularly in robustness, explainability, or uncertainty estimation. Proficiency with deep learning frameworks like PyTorch and the Python skills required ...

apply FGAC to their sensitive data. We build products that apply context based authorization to solve the problem of over-permissioning. We apply Machine Learning Techniques in our Monitored Access (MA) abuse detection program to preemptively detect and mitigate internal and external malicious actors. We do this … operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate ...

Fractal Analytics UK Limited is looking for a Senior AI/ML Engineer for a 12-month fixed-term contract in West London. This role offers a hybrid work model, requiring onsite presence for 2 days per week. The ideal candidate will design and optimize machine-learning models … maintain data pipelines, and supervise models in production. Candidates should have proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch, along with strong analytical problem-solving skills. #J-18808-Ljbffr ...

team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. You will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict … cohort design through to interpretation, so experiments are analytically tractable and pipelines maximise data value. Contribute to the evaluation framework that determines whether ML models capture meaningful biology: design metrics, held-out benchmarks, and biological sanity checks. Collaborate closely with ML modellers to develop model architectures. Present findings and methodologies ...

develops and deploys responsible AI solutions for clients across government, finance, retail, energy, life sciences, and defence. Задачи Set the technical direction for complex ML projects, balance trade-offs, and guide team priorities; Design, implement, and maintain reliable, scalable ML and software systems while justifying key architectural decisions; Define project ...

Senior Specialist Solutions Architect (AI/ML) London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers … architecting production‐grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design ...