426 to 450 of 1,125 Machine Learning Jobs in England

with a small, high-impact team delivering real-world AI products. What We’re Looking For Strong Python experience and familiarity with AI/ML frameworks. Hands-on experience with LLM pipelines, embeddings, and RAG systems. Experience with cloud platforms (AWS, GCP) and containerization is a plus. Degree in Computer ...

dependency tracking across programs Key Requirements: Proven experience in PMO leadership or program management Strong understanding of data platforms, analytics, and AI/ML concepts Experience using data visualization and reporting tools (e.g., Power BI, Tableau) Familiarity with Agile, Scrum, and hybrid delivery methodologies Excellent stakeholder management and communication skills ...

Azure DevOps, GitHub Actions) specifically tailored for analytics, data science, and trading teams. Hands-on experience deploying apps, data pipelines (Azure Data Factory, Databricks), ML model training environments, event streaming (producers/consumers), and auto-trading solutions. Azure Cloud & IaC Mastery: Deep experience architecting and managing end-to-end Azure ...

their platform. You'll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: You'll design and maintain data pipelines, handle edge cases ...

their platform. You’ll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: You’ll design and maintain data pipelines, handle edge cases ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. ...

based Source Control. Experience of State management libraries. SQL experience. Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Solve real problems that matter Strong Engineering Culture: Work ...

databases (Oracle) and data modelling expertise (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 Cloud ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

Learning, or Generative AI products Strong understanding of user-centric product development Experience with tools and platforms such as: AWS (AI/ML services) Hugging Face LLMs and Generative AI workflows Ability to work in fast-paced, ambiguous environments Strong stakeholder management and communication skills Commercial awareness ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

work in the UK Desirable Experience Interest in sport and performance analytics Understanding of market pricing or forecasting models Knowledge of Bayesian methods, machine learning, or advanced statistical techniques Experience with optimisation methods or automated decision systems Familiarity with databases (SQL or NoSQL) Experience with additional programming languages … What’s on Offer Research-focused and collaborative environment Opportunity to take models from concept through deployment Ongoing professional development and learning support Competitive salary and benefits ...

Market Data teams to deliver robust, compliant technology solutions Implement automated testing frameworks and integrate them into development workflows Explore and apply AI/ML-driven innovations to improve system performance and risk analysis Work effectively with global teams across multiple locations Key Requirements Strong hands-on experience in software … Familiarity with scripting languages such as PowerShell or Python Understanding of service communication protocols (e.g., WCF, gRPC, messaging technologies like RabbitMQ) Exposure to AI, machine learning, or data-driven development is advantageous Excellent communication, analytical, and problem-solving skills Self-driven, reliable, and able to deliver high-quality ...

Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models ...

/ML Engineer – Consumer Analytics We are seeking an AI/ML Engineer with a strong statistical background and hands-on experience in signal engineering and interpretation to support next best offer (NBO) and personalization use cases in the consumer industry. The role focuses on translating complex customer signals into … alignment with business and regulatory expectations Required Skills & Experience Strong foundation in statistics, probability, and experimental design Hands-on experience in AI/ML model development (e.g., classification, propensity, uplift, recommendation models) Proven experience in signal engineering, feature creation, and interpretation for consumer analytics use cases Proficiency in Python ...

observability tools (e.g., Datadog, Prometheus, Open Telemetry). Strong understanding of Machine Learning Operations (MLOps) and how data platforms support the full ML lifecycle. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet ...

iterative improvement in analytical practices, service delivery, and stakeholder engagement. Proven ability to mentor and develop others, sharing expertise, and fostering a culture of learning and innovation. Detailed understanding of performance measurement frameworks and evaluation methodologies, with the ability to align them to NHS policy and strategic priorities. Ability … designing large scale, complex analytical and reporting projects that deliver strategic insights, including the application of data science approaches such as predictive modelling, machine learning and statistical analysis. Experience in developing and designing insightful, user-focused dashboards (e.g. Power BI/Tableau) that support strategic decision-making ...

into engineering workflows, monitoring, and incident analysis. Lead experimentation and POCs with emerging AI and cloud technologies. Key Requirement: Strong experience with Generative AI, Machine Learning, or LLM-based solutions. Deep expertise in AWS cloud architecture and DevOps practices. Experience with Python, JavaScript, or React. Hands-on experience ...

platforms Multi-agent architectures Responsible AI, AI ethics or guardrail design Agile/Scrum environments This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms. Apply ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

opportunity to work at the heart of a highly data-driven trading environment, building the platforms and pipelines that power advanced analytics, machine learning and systematic trading strategies. The firm operates across global energy and commodities markets and is known for combining quantitative research, advanced analytics and modern ...

responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning tools, and visual analytics using internal frameworks. Translate technical outputs into clear, strategic recommendations for senior ...

responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning tools, and visual analytics using internal frameworks. Translate technical outputs into clear, strategic recommendations for senior ...