1 to 25 of 4,552 Machine Learning Jobs in the UK

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 ...

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 ...

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 ...

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 in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We're Looking For Essential Skills and Experience: Proven ability … data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable ...

deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability … data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable ...

deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability … data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable ...

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 ...

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 ...

deploy machine learning systems that accelerate decision-making and unlock business value. You'll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We're looking … data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value. Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering ...

deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking … data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value. Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering ...

deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking … data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value. Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering ...

region and Tech Unicorn. Position Summary: We are seeking an accomplished Senior Data Scientist with deep expertise in Generative AI, and solid foundations in ML Engineering to join our forward-thinking AI & Data Science team. You will play a pivotal role in leading cutting-edge AI initiatives, scaling data-driven … scientists and influence strategic decision-making across the company. Key Responsibilities: Lead the design and implementation of complex predictive and optimization models using classical ML/statistical methods, deep learning architectures, and generative techniques. Drive innovation in Large Language Models (LLMs), Generative AI, and Agentic AI—pioneering new applications ...

region and Tech Unicorn. Position Summary: We are seeking an accomplished Senior Data Scientist with deep expertise in Generative AI , and solid foundations in ML Engineering to join our forward-thinking AI & Data Science team. You will play a pivotal role in leading cutting-edge AI initiatives, scaling data-driven … scientists and influence strategic decision-making across the company. Key Responsibilities: Lead the design and implementation of complex predictive and optimization models using classical ML/statistical methods, deep learning architectures, and generative techniques. Drive innovation in Large Language Models (LLMs), Generative AI, and Agentic AI—pioneering new applications ...

region and Tech Unicorn. Position Summary: We are seeking an accomplished Senior Data Scientist with deep expertise in Generative AI , and solid foundations in ML Engineering to join our forward-thinking AI & Data Science team. You will play a pivotal role in leading cutting-edge AI initiatives, scaling data-driven … scientists and influence strategic decision-making across the company. Key Responsibilities: Lead the design and implementation of complex predictive and optimization models using classical ML/statistical methods, deep learning architectures, and generative techniques. Drive innovation in Large Language Models (LLMs), Generative AI, and Agentic AI—pioneering new applications ...

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 ...

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 … 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 ...

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 … 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 ...

Prepare, clean and engineer structured datasets to support modelling and exploratory analysis. Build, test and validate predictive, diagnostic and prescriptive models using statistical and machine learning techniques. Deploy and maintain models within a modern cloud environment (Databricks/Azure) using CI/CD best practice. Create clear, actionable … experience working with cloud environments (Azure advantageous). Hands-on experience with Databricks, model deployment and production workflows. Strong understanding of statistical modelling, ML methods and feature engineering. Experience working with Large Language Models, RAG, vector databases or GenAI architectures. Ability to partner with cross-functional teams and build strong ...