1 to 25 of 4,857 Machine Learning Jobs in the UK excluding London

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

exciting insight using financial data for good. You must possesses technical prowess, a methodical approach to problem-solving, proficiency in data analysis and machine learning technologies, and be able to evidence that you can design and build analytical solutions that stand the test of time. We want … version control. Knowledge of the operational aspects of predictive modelling/machine learning, including deployment, monitoring, and continuous integration of ML models. Expertise in domains such as financial services, public sector, economics, healthcare or related fields. Effective at communicating technical models in business and technical contexts. Positive attitude ...

exciting insight using financial data for good. You must possesses technical prowess, a methodical approach to problem-solving, proficiency in data analysis and machine learning technologies, and be able to evidence that you can design and build analytical solutions that stand the test of time. We want … version control. Knowledge of the operational aspects of predictive modelling/machine learning, including deployment, monitoring, and continuous integration of ML models. Expertise in domains such as financial services, public sector, economics, healthcare or related fields. Effective at communicating technical models in business and technical contexts. Positive attitude ...

LLaMA, DeepSeek, etc.). Agent-based architectures, RAG, prompt engineering, chatbots, classification, summarization, speech-to-text, image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine). Familiarity with data platforms like Dataiku, Databricks. Strong software engineering fundamentals … Science, Engineering, or a related discipline with a strong technical portfolio in AI/ML. Demonstrated hands-on experience developing and deploying AI/ML solutions. Strong applied AI skills (through academic projects, internships, or personal contributions) Technical depth and hands-on proficiency. A problem-solving mindset and ability ...

Data Science/AI Engineering Role Overview We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions that power intelligent products and services. You will work closely with data scientists, software engineers, and product teams to transform cutting-edge research into … containerization, monitoring). Performance Optimization: Continuously improve model accuracy, latency, and scalability. Collaboration: Work cross-functionally with product managers and engineers to align ML solutions with business objectives. Documentation & Compliance: Ensure proper documentation and adherence to data privacy and ethical AI standards. Required Skills & Qualifications Education: Bachelor's or Master ...

Purpose of position As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, you’ll work closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities will include managing existing ML workloads … building new batch and on-demand pipelines to support advanced AI/ML models. You’ll also contribute to developing Generative AI solutions and applications for the emerging Agentic Era. You’ll collaborate with a global team to create scalable data architectures optimised for AI/ML, source and prepare ...

deployment within cloud-based environments. Maintain high standards of code quality, documentation, and testing within a DevOps-oriented workflow. Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models. What We're Looking For Essential Skills & Experience … across varied data types and business domains. Familiarity with DevOps practices and tools such as Git. Cloud experience (e.g., Azure, AWS) and working with ML platforms and services. Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Ability to align analytical outputs with broader business ...

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills ...

environments. Mentor junior team members and contribute to best practices in data science and cloud architecture. Stay updated on emerging technologies in AI/ML, cloud computing, and big data. Required Skills & Experience: 5+ years of experience in data science roles, with proven success in delivering end-to-end projects. … data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles, SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing roles, with ability ...

aspects of model development Analyze model performance, diagnose issues, and recommend improvements Research and evaluate emerging technologies in NLP, information retrieval, and ML Document methodologies, model architectures, and experimental results Mentor junior team members and contribute to the data science community of practice Your Profile: Bachelor's or Master … sources and analytical techniques Knowledge of graph databases and network analysis for relationship mapping Familiarity with cloud platforms (AWS, Azure, or GCP) for ML model deployment Experience with big data processing frameworks like Apache Spark Knowledge of NoSQL databases (MongoDB, Elasticsearch) for handling unstructured data Experience with data versioning ...

quality, timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics … data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream analytics. Your Experience We're a small, high-impact team with ...

solutions to clients across finance, healthcare, energy, and technology. We are seeking a passionate Graduate Machine Learning Engineer to join their growing ML & Data Science team. This is an exceptional opportunity for a recent graduate looking to launch their career in an environment that values innovation, technical excellence … continuous learning. You'll work alongside experienced data scientists, ML engineers, and software developers to design, build, and deploy production-grade machine learning models. Key Responsibilities Develop, train, and evaluate machine learning models to solve real-world business problems. Support the full ML lifecycle—from data ...

Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning … algorithms, primarily for speech and audio applications. Develop and execute evaluation pipelines to test models on prototype and production systems. Debug and optimise ML workflows and code using Python, PyTorch/TensorFlow, and related tools. Collaborate with software and hardware teams to integrate AI solutions seamlessly into devices. Maintain comprehensive ...

LLMs, NLP, and Information Retrieval, building production systems used by global customers. You'll join a highly talented AI organisation (reporting into the Senior ML Manager) and work closely with product, backend, and frontend teams to ship impactful, user-facing AI features. Open Senior Roles (3 Total) 1. Senior GenAI … pipelines. You will: Build and optimise retrieval, ranking, and document processing systems. Implement transformers, embeddings, search pipelines and evaluation frameworks. Deploy and maintain ML/IR models in production. You bring: Strong ML engineering background. Experience in document processing, NLP, embeddings, transformers. Python expertise, solid engineering foundations. Experience shipping ...

teams to ensure seamless, scalable, and reliable machine learning solutions in production environments. Key Responsibilities - Pipeline Development: Build and maintain scalable ML pipelines automating training, testing, deployment, and monitoring. - Model Deployment: Collaborate with data scientists to deploy ML models securely and reliably. - CI/CD Integration: Maintain …/CD processes for ML models with version control. - Infrastructure Management: Set up and manage cloud-based and on-prem ML infrastructure. - Monitoring & Maintenance: Ensure high availability and performance of deployed models with automated monitoring, logging, and alerting. - Collaboration: Work with cross-functional teams to deliver solutions that meet technical ...

teams to ensure seamless, scalable, and reliable machine learning solutions in production environments. Key Responsibilities - Pipeline Development: Build and maintain scalable ML pipelines automating training, testing, deployment, and monitoring. - Model Deployment: Collaborate with data scientists to deploy ML models securely and reliably. - CI/CD Integration: Maintain …/CD processes for ML models with version control. - Infrastructure Management: Set up and manage cloud-based and on-prem ML infrastructure. - Monitoring & Maintenance: Ensure high availability and performance of deployed models with automated monitoring, logging, and alerting. - Collaboration: Work with cross-functional teams to deliver solutions that meet technical ...

teams to ensure seamless, scalable, and reliable machine learning solutions in production environments. Key Responsibilities - Pipeline Development: Build and maintain scalable ML pipelines automating training, testing, deployment, and monitoring. - Model Deployment: Collaborate with data scientists to deploy ML models securely and reliably. - CI/CD Integration: Maintain …/CD processes for ML models with version control. - Infrastructure Management: Set up and manage cloud-based and on-prem ML infrastructure. - Monitoring & Maintenance: Ensure high availability and performance of deployed models with automated monitoring, logging, and alerting. - Collaboration: Work with cross-functional teams to deliver solutions that meet technical ...

teams to ensure seamless, scalable, and reliable machine learning solutions in production environments. Key Responsibilities - Pipeline Development: Build and maintain scalable ML pipelines automating training, testing, deployment, and monitoring. - Model Deployment: Collaborate with data scientists to deploy ML models securely and reliably. - CI/CD Integration: Maintain …/CD processes for ML models with version control. - Infrastructure Management: Set up and manage cloud-based and on-prem ML infrastructure. - Monitoring & Maintenance: Ensure high availability and performance of deployed models with automated monitoring, logging, and alerting. - Collaboration: Work with cross-functional teams to deliver solutions that meet technical ...

Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily … data preprocessing, feature engineering, and model evaluation. Develop and maintain REST APIs and microservices architectures. Monitor, evaluate, and apply governance frameworks for AI/ML models in production environments. Prepare technical documentation and effectively communicate complex concepts to both technical and non-technical stakeholders. Required Skills & Qualifications: Minimum 3 years ...

/Lead to join our dynamic Cora Sequence team. In this role, you will be instrumental in designing, developing, deploying, and managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready … MLOps, and data engineering will be crucial in delivering high-impact AI capabilities. Responsibilities • Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). • Model Deployment & Management: Implement robust ...