376 to 400 of 1,129 Machine Learning Jobs in England

Scala Experience across Azure, AWS, or GCP ecosystems Nice to Have Exposure to Databricks governance tooling (Unity Catalogue/Purview) Experience with ML/AI workloads on Databricks Knowledge of CI/CD, DevOps, or Infrastructure as Code If you enjoy combining deep technical architecture with commercial influence and client ...

business stakeholders to accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery Design, build, and deploy production‐grade AI/ML solutions , including: LLM‐enabled applications (RAG, agents, copilots) Predictive models and intelligent automation AI services embedded into modernised platforms Own end‐to‐end AI lifecycle : discovery ...

financial services Hands-on development: X++, C#, Python, T-SQL, PowerFX, PowerShell Source control and containerization: TFVC, Git, Docker Tools: Azure IPAAS, Azure ML, Dataverse, PowerApps, Power Automate, SQL Server Administration, Fabric, Kafka, Copilot Studio, Azure AI Services, Ollama Integration: REST/SOAP APIs, solution performance analysis Functional knowledge ...

Stats: You must have an excellent grasp of Linear and Logistic Regression . You understand the assumptions, limitations, and interpretability of these models. Advanced ML: Experience with boosting models is essential for our higher-complexity tasks. Analytics Patterns: A core ability to creatively analyse a raw dataset and spot trends ...

security best practices, monitoring, and incident response. Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR). Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance ...

Innovation Software Engineer (Numerical Modelling, AI/ML, C++/Python) Guildford, Surrey (On-site) £65000 - £100,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office. Your … high-level scientific language (e.g., Python, Julia). We are particularly looking at experience with scientific computing, numerical methods, or computational modelling. Desirables are Machine learning, optimization, control, probabilistic modelling, or related fields. Familiarity digital twins, agentic systems, reinforcement learning or advanced optimisation. What ...

Opportunity: You’ll join a well-funded, early-stage startup building AI-driven software for regulated financial institutions . The platform uses AI and machine learning at its core to help organisations solve complex operational and compliance challenges. The engineering team is building a modern microservice architecture … operate in production What You Bring: A naturally curious mindset, you constantly ask “what if?” and explore better approaches A proven track record delivering ML/AI solutions into production environments Strong Python expertise and experience with modern AI/ML frameworks such as: PyTorch TensorFlow scikit-learn NumPy Pandas ...

discovery of new opportunities, turning problems statements into business outcome driven technical proposals. Solve problems using creative approaches and emerging technologies. Be comfortable learning, and becoming a subject matter expert within, an assigned business domain. Collaborate with Enterprise Architects, Integration Architects and Cloud Architects to build coherent systems within … technologies: JavaScript, React, C# .NET, Python, SQL, APIs, Azure, Power Platform, SaaS, PaaS, IaC. Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP, MCP etc. Experience in architecture and software development methodologies, and design techniques e.g. Agile, C4, UML, TOGAF, Microsoft Well-Architected Framework ...

enabled products and solutions using modern architectures including: LLM-based applications RAG pipelines AI orchestration layers agent-based systems Work closely with data scientists, ML engineers, and data engineers to move ideas from concept to implementation. Evangelism & Thought Leadership Act as an internal and external advocate for practical AI adoption … roles Strong understanding of generative AI ecosystems and large language models Exposure to modern AI architectures and system design Experience shaping or delivering AI, machine learning, or advanced analytics initiatives Ability to move from strategic conversation to practical implementation Strong communication and stakeholder engagement skills Technical Awareness Candidates ...

site selection event on 5 May 2026. Desired Skills and Experience: Experience with ReactJS. Familiarity with geospatial data science or remote sensing. Knowledge of machine learning techniques and automation workflows. Interest in energy markets, commodities trading or environmental analytics. Exposure to satellite imagery analysis, AI applications or alternative … your development. You’ll also benefit from: Full‐time, hands‐on experience working directly with one of our leading clients Access to the Udemy learning platform Ongoing support and regular check‐ins from the Aubay team The potential to be considered for a future direct role with the client ...

/LLM/Cloud (Enterprise Scale) We are hiring an experienced AI Architect to lead the design and governance of enterprise-grade AI/ML and Generative AI solutions across data, application and cloud infrastructure layers. This is a senior-level architecture role focused on delivering production-ready … deploy LLM solutions (GPT, BERT, Transformers) including RAG pipelines and vector databases Lead LLMOps/MLOps strategy including model lifecycle, CI/CD for ML, model registry and monitoring Design scalable cloud-native AI solutions in Azure, AWS or GCP Ensure governance, Responsible AI, security, compliance and non-functional requirements ...

Azure, or GCP. Good understanding of containerization with Docker and orchestration using Kubernetes. Familiarity with data privacy, encryption, and access management standards. Understanding of machine learning principles for pattern detection or predictive analytics. Preferred Qualifications Degree in Computer Science, Data Science, Engineering, or similar. Knowledge of visualization tools ...

alongside relevant professional certifications (e.g. Power BI, Azure, AWS, Data Engineering, Analytics). Experience using Python for data handling, automation, or analytics. Exposure to machine learning techniques and advanced statistical modelling. Equal Opportunity Statement This is not an exhaustive list, and we welcome applications from candidates ...

reports, dashboards and visualisations to explain model behaviour and analytical findings. Working knowledge of SQL and relational databases. Desirable: Exposure to Data Engineering or machine-learning-focused development. Experience developing within the .NET ecosystem (ideally .NET 5+). Familiarity with Python or R. Strong interest in sports analytics ...

frameworks such as React, Angular, or Vue. Experience working with cloud platforms such as AWS or Google Cloud. Exposure to data analytics or machine learning concepts. Knowledge of 5G, LTE, WAN technologies, or network management systems. Experience with geospatial mapping or GIS tools. Who You Are: A motivated ...

/best practices and practical experience applying TDD. clear communication/interpersonal skills are a must for working closely with internal teams. Experience with Machine Learning, CI/CD and IAC using Terraform for management of Azure/AWS would be beneficial. What you'll get in return ...

Knowledge of APIs, system integration, and microservices Client-facing experience or delivery-focused roles Strong problem-solving and communication skills Desirable: Exposure to AI, ML, or data platforms DevOps, CI/CD, or infrastructure as code experience Consulting or technical delivery background Location: UK Hybrid, with occasional client visits ...

decisions Translate technical insights into product & revenue impact What we’re looking for 4+ years in hands-on Data Science Strong Python + cloud ML/data tooling (GCP, AWS, or similar) Proven track record of shipping models into production Strong experimentation & product analytics experience Product mindset — you care about ...

bids Technology environment You don’t need to know everything, but experience across areas such as: • Azure data ecosystem (Data Factory, Synapse, Databricks, Azure ML, Azure OpenAI) • Power BI • SQL Server • Cloud data architectures • API/integration design Nice to have exposure to: • Microsoft Fabric • Multi-cloud environments (AWS/ ...

across real assets, sustainability, and essential services . What you'll do Build and enhance our cloud platforms and data infrastructure Deploy AI/ML and GenAI solutions into production Drive automation and operational efficiency using AI and RPA Support development of client-facing digital platforms and dashboards Modernise systems ...

across real assets, sustainability, and essential services . What you'll do Build and enhance our cloud platforms and data infrastructure Deploy AI/ML and GenAI solutions into production Drive automation and operational efficiency using AI and RPA Support development of client-facing digital platforms and dashboards Modernise systems ...

microservices, and backend systems. Solid understanding of software architecture, cloud infrastructure (AWS and/or Azure), and modern DevOps practices. Hands-on experience integrating ML models into production systems (LLMs via APIs, fine-tuning, RAG, embeddings, agents). Ability to move fast without compromising on code quality, testing, and operational ...

major features, platforms, and technical initiatives Collaborate with technical leads and DevOps on system scalability, performance, and reliability Ensure data platforms are AI/ML-ready, with scalable infrastructure and clean, well-structured data pipelines Collaborate with data science and analytics teams to enable model deployment, automation, and MLOps best ...

will define data models, storage patterns, pipelines, and governance frameworks that support machine learning and analytics. Working closely with data engineers and ML engineers, you will ensure data is well-structured, accessible, secure, and scalable for AI use cases. Key Responsibilities Design and maintain data models and schemas … multiple sources. Establish data governance, quality, security, privacy, and compliance standards. Implement metadata management and data lineage for transparency and traceability. Collaborate with data, ML, and analytics teams to deliver AI-ready datasets and features. Monitor, optimise, and scale data platforms for performance, cost efficiency, and growth. Required Qualifications Bachelors ...

/Cloud (Enterprise Scale) We are seeking a highly experienced AI Architect to lead the design, standardisation, and governance of enterprise-scale AI/ML and Generative AI platforms spanning data, application, and cloud infrastructure layers. This is a senior architecture position centred on building and overseeing production-grade … Transformer models), including RAG pipelines and vector database integrations Establish and lead LLMOps/MLOps strategy, including model lifecycle management, CI/CD for ML, model registries, and monitoring frameworks Design and deliver scalable, cloud-native AI platforms across Azure, AWS, or GCP Ensure Responsible AI standards, governance, security, compliance ...