1,976 to 2,000 of 10,364 Machine Learning Jobs in the UK

generates valuable insights that empower our clients. Tech: Python, Databricks, Cloud (open to AWS, GCP, Azure), ETL, SQL The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud architectures Data mesh and data fabric patterns The package: Up to £110k base 25 days holiday 8% pension Private healthcare Hybrid working (3 days London More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

The role will focus on ensuring data integrity, scalability, security, and performance within the Microsoft Azure ecosystem, leveraging Databricks as the core platform for advanced analytics, data engineering, and machine learning. The Data Architect will collaborate closely with stakeholders across the business and in particular with data engineering, data science, and pricing teams to optimise data solutions that drive … policies, and guidelines, ensuring scalability and long-term sustainability. Optimise and modernise data pipelines for efficiency, cost-effectiveness, and high performance, leveraging Databricks’ capabilities for big data processing and machine learning. Collaborate closely with data engineering, data science, and pricing teams to enable real-time analytics, AI-driven insights, and predictive modelling. Drive innovation by evaluating and implementing emerging More ❯

with asynchronous programming (e.g., asyncio, Celery). Exposure to message brokers like RabbitMQ, Kafka. Understanding of GraphQL, gRPC, or WebSockets. Previous experience in architecting data-intensive or AI/ML-based systems. Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). #J-18808-Ljbffr More ❯

enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that More ❯

enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that More ❯

enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that More ❯

role Own the cloud architecture of production solutions across AWS and Azure Design, build and manage infrastructure-as-code Develop CI/CD pipelines to support data engineering and ML/AI model delivery Influence security, cost-efficiency, scalability and standards Lead cloud architecture decisions in project scoping and architecture reviews Contribute to internal capability building in DevOps, cloud strategy More ❯

enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that More ❯

to resolve issue. Experience with computer graphics and/or game engines technologies Preferred Qualifications * Designing and implementing real-time pipelines. * Designing and implementing data pipelines for CV/ML systems. * Experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M). * Experience with data quality and validation. More ❯

skills. Desirable: Experience with asynchronous programming (asyncio, Celery). Knowledge of message brokers (RabbitMQ, Kafka). Familiarity with GraphQL, gRPC, or WebSockets. Exposure to data-intensive or AI/ML-based systems architecture. Relevant certifications in cloud technologies or enterprise architecture (AWS/Azure Architect, TOGAF, etc.) Location & Working Pattern: Hybrid role based in Bradford , requiring 3 days per week More ❯

include Y Combinator, Accel, Lakestar and angel investors who were founders or executives of leading companies in London and San Francisco. About the Role We’re looking for a Machine Learning Data Scientist to join our team. In this role, you will design, develop, and deploy machine learning models to solve complex business problems, leveraging large … machine learning algorithms to assist us with these processes Evaluate model performance using appropriate metrics and optimize for accuracy, efficiency, and scalability Collaborate with engineers to integrate ML models into production systems Conduct exploratory data analysis to uncover trends, patterns, and opportunities for improvement Stay current with advancements in machine learning, AI, and data science methodologies … role Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field (Bachelor’s with significant experience also considered) 3+ years of experience in data science, machine learning, or a related role Proficiency in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, Scikit-learn, or Pandas Strong understanding of statistical modeling More ❯

with asynchronous programming (e.g., asyncio, Celery). Exposure to message brokers like RabbitMQ, Kafka. Understanding of GraphQL, gRPC, or WebSockets. Previous experience in architecting data-intensive or AI/ML-based systems. Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work. If you are looking More ❯

Understanding of agile methodologies such as CI/CD, application resiliency, and security. Practical cloud-native experience. Knowledge of software applications and technical processes in disciplines like cloud, AI, ML, or mobile development. Strong skills in Python and SQL. Understanding of ETL best practices, data partitioning, and schema evolution. Experience with data modeling, large-scale datasets, data lake architecture, and More ❯

Job Details We are seeking skilled and innovative individuals to join our dynamic team. This role is ideal for those with a strong foundation in machine learning (ML) and programming, coupled with an innate curiosity and drive to tackle complex challenges. Reporting to the Head of AI Lab, you will be responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You will collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or … MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus Skilled in object-oriented programming using Python Familiar with PyTorch or other machine More ❯

in Business, Product Management, Computer Science, or a related field. Set Yourself Apart With Experience in leading large-scale digital transformation initiatives. Knowledge of cloud-based platforms, AI/ML integration, or emerging technology trends. Thought leadership in product management and innovation. Additional Information Publicis Sapient UK is a disability confident employer and is dedicated to fostering an inclusive and More ❯

architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

remote City Of London, England, United Kingdom 1 week ago London, England, United Kingdom 6 days ago London, England, United Kingdom 11 hours ago Data Science/Data Analytics, ML Consultant | International Consultancy, Fintech, | Python, SQL, GCP, | 2 Days Hybrid, Up to £70,000 +Benefits London, England, United Kingdom 1 month ago We’re unlocking community knowledge in a new More ❯

architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . #J-18808-Ljbffr More ❯

Our primary focus is on building robust backend services and middleware, with some frontend development. The role involves delivering cross-team projects, proposing new architecture and using AI/ML to deliver greater customer value. Key job responsibilities Design and implement scalable backend services and APIs Work extensively with AWS services, CDK, and cloud infrastructure Build middleware integrations between RBKS More ❯

our analytical capabilities and contribute to the exciting field of cyber catastrophe modelling. Key Responsibilities: Model Development: Contribute to model testing, diagnostics, and release workflows by creating best-practise ML and testing frameworks. Cross-functional Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing More ❯

our analytical capabilities and contribute to the exciting field of cyber catastrophe modelling. Key Responsibilities: Model Development: Contribute to model testing, diagnostics, and release workflows by creating best-practise ML and testing frameworks. Cross-functional Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing More ❯

our analytical capabilities and contribute to the exciting field of cyber catastrophe modelling. Key Responsibilities: Model Development: Contribute to model testing, diagnostics, and release workflows by creating best-practise ML and testing frameworks. Cross-functional Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing More ❯