676 to 700 of 1,928 Machine Learning Jobs in the UK excluding London

collaborative, multidisciplinary team environment. Familiarity with maintaining andrefactoring legacy codebases is a plus. Eagerness to learn and apply Azure, AzureML, Azure DevOps, and AI tools in a commercial context. Machine Learning or Artificial Intelligence knowledge and experience beneficial but not essential. Catastrophe modelling or (re)insurance experience beneficial but not essential. Compensation and benefits On top of a More ❯

collaborative, multidisciplinary team environment. Familiarity with maintaining andrefactoring legacy codebases is a plus. Eagerness to learn and apply Azure, AzureML, Azure DevOps, and AI tools in a commercial context. Machine Learning or Artificial Intelligence knowledge and experience beneficial but not essential. Catastrophe modelling or (re)insurance experience beneficial but not essential. Compensation and benefits On top of a More ❯

ideally in Azure Databricks) Designing semantic models and dashboards for business insights Collaborating across teams to understand requirements and deliver fit-for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps environment to continuously evolve our data platform What we're looking for: Strong SQL and Python skills Solid experience with Azure data services More ❯

ideally in Azure Databricks) Designing semantic models and dashboards for business insights Collaborating across teams to understand requirements and deliver fit-for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps environment to continuously evolve our data platform What we're looking for: Strong SQL and Python skills Solid experience with Azure data services More ❯

on AI and automation best practices Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure, AWS or GCP) If you re ready to make a real impact and help shape how AI is More ❯

with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary More ❯

with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary More ❯

with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary More ❯

and scalability improvements. Comfortable working autonomously and taking ownership of major system areas, while maintaining a hands-on, collaborative approach to team projects. Experience with LLMs or AI/ML-driven systems is highly desirable. Knowledge of Knowledge Graphs, RDF, or OWL would be an advantage, but is not required. Familiarity with financial services or regulatory technology is beneficial, though More ❯

data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside IR35) Location: London - 3 days per week onsite Duration: 6 months (potential to extend) How to Apply More ❯

Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling you to architect enterprise-scale solutions that address real More ❯

initiatives and report progress to leadership. What You'll Bring Proven experience leading Master Data Management or Data Governance initiatives. Hands-on experience with Tamr or similar AI/ML-driven MDM tools. Strong understanding of data modelling, integration and data quality principles. Excellent communication and stakeholder management skills, with the ability to bridge business and technical domains. Experience designing More ❯

to manage multiple projects and priorities in a fast-paced, evolving environment. Knowledge of Salesforce CRM Analytics. Experience in commercial, sales, or product-focused environments. Familiarity with AI/ML tools, OTE modeling, or pricing strategy. Certifications: Lean Six Sigma, Power BI, Tableau, or finance/commercial qualifications (CIMA/ACCA). Bachelors degree in Data Science, Statistics, Mathematics, Economics More ❯

specializing in digital transformation for the water and wastewater industry. Their mission is to help utilities, municipalities, and industrial operators harness the power of cloud technology, IoT, AI/ML, and Hybrid Digital Twins to optimize operations, ensure compliance, and achieve sustainability and ESG goals. With a strong foundation in world-leading research, SaaS innovation, and water sector expertise, our More ❯

in leading AI or digital transformation projects, ideally in manufacturing or FMCG. Practical experience with AI tools like ChatGPT, Microsoft Copilot, and predictive analytics platforms. Familiarity with AI/ML frameworks (e.g., OpenAI API, TensorFlow, PyTorch) and automation platforms. Strong understanding of data integration, APIs, and enterprise architecture. Ability to translate business challenges into scalable technical solutions. Project management expertise More ❯

in leading AI or digital transformation projects, ideally in manufacturing or FMCG. Practical experience with AI tools like ChatGPT, Microsoft Copilot, and predictive analytics platforms. Familiarity with AI/ML frameworks (e.g., OpenAI API, TensorFlow, PyTorch) and automation platforms. Strong understanding of data integration, APIs, and enterprise architecture. Ability to translate business challenges into scalable technical solutions. Project management expertise More ❯

in developing and optimising the backbone of the company's data platform. You'll be responsible for building and maintaining large-scale, real-time data pipelines that power analytics, machine learning, and operational systems across the business. You'll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers reliable, high-quality, and compliant … within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers, analysts, and analytics engineers to understand their data needs and enable advanced data use cases. Contribute to an engineering culture that values testing, peer reviews, and automation-first principles. … compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to date with the latest tools and trends in data engineering and love sharing knowledge with others. More ❯

in developing and optimising the backbone of the company's data platform. You'll be responsible for building and maintaining large-scale, real-time data pipelines that power analytics, machine learning, and operational systems across the business. You'll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers reliable, high-quality, and compliant … within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers, analysts, and analytics engineers to understand their data needs and enable advanced data use cases. Contribute to an engineering culture that values testing, peer reviews, and automation-first principles. … compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to date with the latest tools and trends in data engineering and love sharing knowledge with others. More ❯

on data, customer collaboration, and real-world outcomes. Essential Requirements Proficiency in Python and/or TypeScript Experience with distributed systems (e.g. Spark, Kafka, Hadoop) Background in AI/ML , ideally with exposure to GenAI or LLMs SC Clearance Strong communication skills and ability to gather requirements from non-technical stakeholders Bachelor’s or Master’s degree in Computer Science … or related field What Will Make You Stand Out Experience building production ML or LLM-based solutions Experience delivering React-based frontend applications Track record of solving enterprise-level problems Experience in client-facing or consulting-style roles If you're excited by the idea of building software that directly impacts how organisations operate - and want to work with a … team that values ownership, speed, and mission - you’re encouraged to apply. SEO Keywords for Search: Forward Deployed Engineer, FDE, Software Engineer, Data Engineer, Machine Learning Engineer, AI Engineer, GenAI, LLM, Python Developer, TypeScript Developer, Full Stack Engineer, Distributed Systems Engineer, Spark, Kafka, Hadoop, React Developer, Enterprise Software Engineer, Consulting Engineer, Analytics Engineer, Technical Consultant, Palantir Foundry, AIP More ❯

on data, customer collaboration, and real-world outcomes. Essential Requirements Proficiency in Python and/or TypeScript Experience with distributed systems (e.g. Spark, Kafka, Hadoop) Background in AI/ML , ideally with exposure to GenAI or LLMs SC Clearance Strong communication skills and ability to gather requirements from non-technical stakeholders Bachelor’s or Master’s degree in Computer Science … or related field What Will Make You Stand Out Experience building production ML or LLM-based solutions Experience delivering React-based frontend applications Track record of solving enterprise-level problems Experience in client-facing or consulting-style roles If you're excited by the idea of building software that directly impacts how organisations operate - and want to work with a … team that values ownership, speed, and mission - you’re encouraged to apply. SEO Keywords for Search: Forward Deployed Engineer, FDE, Software Engineer, Data Engineer, Machine Learning Engineer, AI Engineer, GenAI, LLM, Python Developer, TypeScript Developer, Full Stack Engineer, Distributed Systems Engineer, Spark, Kafka, Hadoop, React Developer, Enterprise Software Engineer, Consulting Engineer, Analytics Engineer, Technical Consultant, Palantir Foundry, AIP More ❯

on data, customer collaboration, and real-world outcomes. Essential Requirements Proficiency in Python and/or TypeScript Experience with distributed systems (e.g. Spark, Kafka, Hadoop) Background in AI/ML , ideally with exposure to GenAI or LLMs SC Clearance Strong communication skills and ability to gather requirements from non-technical stakeholders Bachelor’s or Master’s degree in Computer Science … or related field What Will Make You Stand Out Experience building production ML or LLM-based solutions Experience delivering React-based frontend applications Track record of solving enterprise-level problems Experience in client-facing or consulting-style roles If you're excited by the idea of building software that directly impacts how organisations operate - and want to work with a … team that values ownership, speed, and mission - you’re encouraged to apply. SEO Keywords for Search: Forward Deployed Engineer, FDE, Software Engineer, Data Engineer, Machine Learning Engineer, AI Engineer, GenAI, LLM, Python Developer, TypeScript Developer, Full Stack Engineer, Distributed Systems Engineer, Spark, Kafka, Hadoop, React Developer, Enterprise Software Engineer, Consulting Engineer, Analytics Engineer, Technical Consultant, Palantir Foundry, AIP More ❯

who are looking for a contract Data Architect to join an AI programme. This individual will be responsible for designing and implementing modern data architectures that enable advanced analytics, machine learning and AI capabilities. … Data Architect, key responsibilities: Design and implement high-performance data architectures to support AI and analytics workloads Develop and maintain data models and governance frameworks that enable AI and ML systems Partner with Data Scientists, ML Engineers, and Software Engineers to deliver AI Lead data platform modernisation efforts Define data standards, metadata, lineage and quality frameworks Collaborate with stakeholders to More ❯

data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query … and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query … and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query … and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯