651 to 675 of 3,667 Machine Learning Jobs in England

RAG, GraphRAG, Agentic AI Languages Python: LangChain, LlamaIndex, FastAPI/Flask JavaScript: React Educational Background BSc in Computer Science, Statistics, Engineering, or related field Advanced certifications in AI/ML, cloud computing, or data engineering are advantageous More ❯

skills and a passion for writing great software. Nice to have: Experience with Docker/Kubernetes. Familiarity with serverless or microservice architectures. Interest in DevOps, data, or AI/ML integration. Why join? You’ll be part of a forward-thinking tech team where autonomy, impact, and growth are core values. You’ll work on meaningful projects, ship code that More ❯

skills and a passion for writing great software. Nice to have: Experience with Docker/Kubernetes. Familiarity with serverless or microservice architectures. Interest in DevOps, data, or AI/ML integration. Why join? You’ll be part of a forward-thinking tech team where autonomy, impact, and growth are core values. You’ll work on meaningful projects, ship code that 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 ❯

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 cloud platforms: AWS, Azure, or Google Cloud Experience with large-scale systems (1000+ nodes, 10k+ tasks) Expertise in monitoring/troubleshooting distributed environments Advanced use of Ray for ML pipelines, tuning, and distributed execution Proficient in Python and Conda; skilled in Docker and Kubernetes Knowledge of IAM and networking (TCP/IP, UDP/IP, LAN/WAN) Strong 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

offerings for cross-client adoption Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field Certifications in Enterprise Architecture (e.g., TOGAF), AI/ML, or Cloud platforms are a plus Essential skills Extensive experience in Enterprise Architecture, Data & AI, or Digital Transformation Deep industry knowledge in Banking, Insurance, Payments, Retail, or Life Sciences Strong More ❯

migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day to More ❯

migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day to 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 ❯