1 to 25 of 105 Contract Machine Learning Jobs in the UK

Machine Learning Engineer/ML Engineer Machine Learning Development Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series … model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search Collaborate with quants to understand pricing model requirements and identify ML opportunities Develop data-driven approaches to complement traditional quantitative finance models Support implementation of ML solutions for derivatives pricing and risk management Core Technical Skills ...

processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering … workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing ...

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 ...

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 ...

enable the development and deployment of machine learning models and drive engineering excellence. You will collaborate closely with data scientists, and lead ML engineers, and software engineers to ensure data is clean, accessible, and optimised for large-scale processing and analysis. Your Responsibilities Data Pipeline Development: Lead … distributed processing systems (e.g., PySpark, Hadoop). Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data augmentation. Automation: Implement automation tools and frameworks (CI/CD) to streamline the deployment and monitoring of machine ...

Data Annotator Analyst – AI/Machine Learning – Expedia Group Location: London (hybrid working) Duration: End of 2026 Pay: £223.18/day About the Role We are looking for a Data Annotator/Data Analyst to support the development and evaluation of AI and machine learning solutions. … consistent, and accurate annotations following defined guidelines Analyze annotated data to identify patterns, issues, and opportunities for improvement Work closely with data scientists and ML engineers to refine annotation strategies Use annotation tools (e.g., Label Studio or similar) to manage and review datasets Perform basic data processing and validation using ...

optimising, and deploying AI solutions in a fast-moving environment. You'll work closely with product, data, and engineering teams to design and implement machine learning models, contribute to production-ready pipelines, and help scale AI capabilities across the business. Key Responsibilities: Design, build, and deploy machine … quality, testing, and scalability Required Experience: Proven experience as an AI Engineer or Machine Learning Engineer Advanced Python skills with experience in ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Strong understanding of machine learning algorithms and applied AI Experience deploying models into production environments Comfortable working ...

Machine Learning Engineer Hybrid Working - UK Wide - 2 Days a Week On Site Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in building and operating robust ML pipelines and serving systems for classic ML and deep learning models, including those that underpin GenAI features. This role is based UK Wide. This ...

/ML Architect Location: London (Hybrid - 2 days/week onsite) Duration: 6 months Day Rate: £510 per day (Inside IR35) Role Overview We are seeking an experienced AI/ML Architect to design, build, and lead the deployment of advanced machine learning and AI-driven solutions. … enable real-world value from data by architecting models, pipelines, and integration patterns that scale across the organisation. This role combines technical depth, applied ML engineering, solution design, and hands-on development. Key Responsibilities Design, build, and train end-to-end machine learning models across NLP, predictive analytics ...

Urgent 12-month Hybrid AI/Machine Learning (ML) engineer role paying £400 a day inside IR35 in central London with 2-3 days in the office a week. Start before Christmas, I need to send candidates today for this to be possible. Interviews next week apply asap …/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data solutions using Hadoop, Spark, PySpark, and Data Lake architectures. Develop and deploy ML models ...

Inside IR35 A global life sciences organisation is seeking a Senior Data Engineer to join a highly technical data platform team working on ML-adjacent initiatives. The environment is cloud-native and highly data-intensive, with a strong focus on unstructured data and scalable pipelines. This is a data engineering … role rather than an ML Engineer or Data Scientist position. The successful contractor will be comfortable operating close to machine learning workflows, particularly working with PyTorch in a cloud environment, but the core responsibility remains data engineering at scale. The RoleYou will be responsible for designing, building ...

Data Annotator Analyst London Expedia Group are looking for a Data Annotator/Data Analyst to support the development and evaluation of AI and machine learning solutions. In this PAYE role, you will be responsible for annotating datasets, ensuring data quality, and collaborating with data scientists and engineers … consistent, and accurate annotations following defined guidelines Analyze annotated data to identify patterns, issues, and opportunities for improvement Work closely with data scientists and ML engineers to refine annotation strategies Use annotation tools (e.g., Label Studio or similar) to manage and review datasets Perform basic data processing and validation using ...

Details Role/Job Title: AI/ML Architect Work Location: London Mode of Working: Hybrid Office Attendance (Hybrid): 2 days from office Number of Positions: 4 The Role An AI/ML Developer is responsible for designing, building, and deploying machine learning models and AI solutions that … clean, and preprocess large datasets for training and validation. Implement feature engineering and data augmentation techniques. Integration & Deployment Develop APIs or services to integrate ML models into production systems. Work with MLOps tools for model deployment, versioning, and monitoring. Performance Optimization Evaluate models using metrics like accuracy, precision, recall ...

Senior ML Infrastructure Engineer (Robotics) LondonContract, Outside IR35£600-1000 per dayPrimarily onsite Overview We are partnering with a robotics and AI company building the core software infrastructure that enables advanced AI models to operate reliably in real-world robotic systems. They are looking for a Senior ML Infrastructure Engineer … cutting-edge models into robust, production-ready systems that run efficiently across cloud and constrained hardware environments. You will collaborate closely with researchers and ML engineers, help shape architectural decisions, and solve complex systems problems that directly impact real-world deployment. Key Responsibilities * Design, build, and maintain distributed ML training ...

Title: MLOps Engineer Work Location: London, UK Office Requirement (Hybrid): 2 days per week Key Responsibilities (High-Level) Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML). Build infrastructure to monitor model performance, data drift, and other key metrics in production. Develop and maintain … consumption, and/or building out the APIs that serve model outputs to downstream systems on-demand. Your Responsibilities Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML). Build infrastructure to monitor model performance, data drift, and other key metrics in production. Develop ...

Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems Collaborate with data scientists and engineering teams to productionise models Troubleshoot and optimise existing ML pipelines Required Skills & Experience Strong hands-on experience with … SageMaker Solid understanding of MLOps best practices Experience with CI/CD pipelines for ML workloads Proficiency with Python and relevant ML frameworks Experience working in cloud-based environments (AWS) Security Requirements Active SC Clearance ...

development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Graduate Scheme. Two years. Real impact Aligned … challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. ...

development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Graduate Scheme. Two years. Real impact Aligned … challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. ...

development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Graduate Scheme. Two years. Real impact Aligned … challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. ...

development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Industrial Placement Scheme. One year. Real impact … challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. ...

development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Industrial Placement Scheme. One year. Real impact … challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. ...