651 to 675 of 2,014 Machine Learning Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger for continuous learning. 🌍 Why Join Luxoft? At Luxoft, you’ll collaborate with global experts in More ❯

complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger for continuous learning. 🌍 Why Join Luxoft? At Luxoft, you’ll collaborate with global experts in More ❯

complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger for continuous learning. 🌍 Why Join Luxoft? At Luxoft, you’ll collaborate with global experts in 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 ❯

distributed systems, microservices architecture, and event-driven patterns. Demonstrated experience with real-time applications and data streaming technologies (e.g., WebSockets, gRPC, Kafka). Experience integrating third-party AI/ML APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP More ❯

distributed systems, microservices architecture, and event-driven patterns. Demonstrated experience with real-time applications and data streaming technologies (e.g., WebSockets, gRPC, Kafka). Experience integrating third-party AI/ML APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP More ❯

distributed systems, microservices architecture, and event-driven patterns. Demonstrated experience with real-time applications and data streaming technologies (e.g., WebSockets, gRPC, Kafka). Experience integrating third-party AI/ML APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP 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 ❯

problem-solving skills to deliver innovative outcomes for clients. Desirable Skills (but we can help you learn them) Experience with Machine Learning frameworks (e.g. Amazon or Azure ML, TensorFlow). Cloud deployment and management (AWS, Microsoft Azure). Containerisation using Docker or Kubernetes. Familiarity with relational, document, or graph databases . Software configuration and deployment using Ansible or More ❯

problem-solving skills to deliver innovative outcomes for clients. Desirable Skills (but we can help you learn them) Experience with Machine Learning frameworks (e.g. Amazon or Azure ML, TensorFlow). Cloud deployment and management (AWS, Microsoft Azure). Containerisation using Docker or Kubernetes. Familiarity with relational, document, or graph databases . Software configuration and deployment using Ansible or More ❯

supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a long-term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks … Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate: Up to £700/day Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and More ❯

supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a long-term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks … Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate: Up to £700/day Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and More ❯

supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a long-term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks … Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate: Up to £700/day Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and More ❯