276 to 300 of 725 Machine Learning Jobs in London

into architecture, design discussions, and delivery planning What We’re Looking For: Core Experience: Strong Python engineering skills and experience delivering production AI/ML systems Hands-on experience with LLMs, RAG, vector databases, and GenAI frameworks Experience deploying solutions on cloud platforms (AWS, Azure, or GCP) Familiarity with LangChain ...

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 ...

committed to working with partner organisations and residents to make Barnet even better. As an organisation, our staff are committed to Our Values: Learning to Improve, Caring, Inclusive, Collaborative - which drive everything we do. About the role This is an exciting time to join Barnet as we grow … operational systems to create highquality datasets for insight and machine learning. - Work with data scientists to design and maintain pipelines for AI/ML models, including supporting feature engineering, labelling and largescale data flows. - Automate manual data processes to improve speed, reliability and accessibility of insight. - Lead data engineering ...

learning infrastructure. This role focuses on developing and maintaining scalable cloud environments, CI/CD pipelines, and deployment systems that support high-performance ML workloads. Key Responsibilities Design and maintain scalable cloud infrastructure for distributed computing and ML workloads Build and optimise CI/CD pipelines to enable reliable … tools (e.g., GitHub Actions, GitLab CI, Jenkins) Familiarity with monitoring tools such as Prometheus or Grafana Scripting experience (Python, Bash, or similar) Experience supporting ML, GPU, or high-performance computing environments is a plus What’s on Offer Competitive salary + equity Flexible hybrid working Generous holiday allowance Learning ...

time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. ...

Lead AI Architect £110,000 About the Role We are seeking a Lead AI Architect to design and deliver cutting-edge AI, ML and Generative AI solutions within large, complex organisations in the insurance sector. This role sits at the forefront of AI-driven transformation, shaping architecture strategies, enabling scalable … driving technical decision-making, ensuring architectural quality and embedding AI capabilities that align to organisational strategy and regulatory expectations. Responsibilities Lead AI/ML/GenAI architectural design across major insurance transformation programmes Translate strategic objectives into AI architecture roadmaps, operating models and solution designs Design scalable AI architectures integrating ...

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 ...

committed to working with partner organisations and residents to make Barnet even better. As an organisation, our staff are committed to Our Values: Learning to Improve, Caring, Inclusive, Collaborative - which drive everything we do. About the role This is an exciting time to join Barnet as we grow … problems or system changes. - Integrate Microsoft solutions with legacy systems and external APIs to ensure a joinedup technology estate. - Identify opportunities to use AI, machine learning and advanced analytics to support smarter service delivery. - Work in an agile, multidisciplinary environment and help embed modern development practices across ...

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 ...

opportunity to work on meaningful data engineering problems where quality genuinely matters What you will be doing Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use Writing clear, well-structured Python, PySpark, and SQL to transform and validate ...

agile/lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. Experience with big data tooling. Package: 6 months initial contract £650 p/ ...

someone who enjoys taking ambiguous problems, designing a practical AI solution, and deploying it into production. You’ll work across both GenAI and applied ML, building scalable AI services that directly improve customer experience and business performance. Key responsibilities Design, build and deploy end-to-end AI solutions Develop ...

agile/lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. xkybehq Experience with big data tooling. Package: 6 months initial contract £650 p/ ...

Senior Software Engineer or in a similar role. AWS Expertise : Strong proficiency in AWS services, particularly Amazon Lex and other AI/ML offerings. Tech Savvy : Proficiency in TypeScript and modern JavaScript frameworks. DevOps Knowledge : Solid understanding of DevOps methodologies and tools (CI/CD, Serverless, Monitoring). Contact Center ...

Senior Software Engineer or in a similar role. AWS Expertise: Strong proficiency in AWS services, particularly Amazon Lex and other AI/ML offerings. Tech Savvy: Proficiency in TypeScript and modern JavaScript frameworks. DevOps Knowledge: Solid understanding of DevOps methodologies and tools (CI/CD, Serverless, Monitoring). Contact Center ...

RDBMS, UML, JSON/XML schemas, and agile project lifecycles Familiarity with cloud data migration strategies and data management tools Understanding of AI/ML technologies, GenAI applications, and AI governance practices Strategic Mindset Ability to translate business requirements into technical solutions and vice versa Experience crafting executive-level narratives ...

Google ADK Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical ...

role is platform-focused and does not involve model development or end-user support. The successful candidate will ensure reliability, scalability, and performance of ML platforms while managing API endpoints and deployment workflows. Key Responsibilities Platform Operations & Monitoring Monitor ML model endpoints and platform health using tools such as Grafana … perform code fixes and manage changes via ServiceNow Liaise with Domino Data Lab support to resolve platform-related issues Model Deployment Deploy and maintain ML models in production environments Ensure models integrate seamlessly into automated pipelines Maintain reliability, version control, and governance standards Pipeline Maintenance Collaborate with Data Scientists ...

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 ...

reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate … optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative ...

based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). … also required to lead the team of 4 who can demonstrate a background in the following: Technical leadership and architecture Delivery ownership AI/ML solution stewardship People leadership Stakeholder and product partnership Controls and governance ...

deliver impactful analytics solutions using Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What Youll Bring Proven experience … analytics, BI, or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field ...

used at scale. Large volumes of first party data flow through the platform and are shaped into trusted inputs for analytics, product features, and machine learning. They are looking for a Senior Data Engineer to take ownership of the core data pipelines that make this platform work in practice. … products. Data arrives incomplete, inconsistent, and sometimes ambiguous. Your role is to shape it into clear, reliable, decision ready datasets that product, analytics, and machine learning teams can confidently rely on. Python and SQL are fundamental to the work. You will design and maintain transformation logic, think carefully ...

bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments … continuous delivery, and high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. ...

Market Data teams to deliver robust, compliant technology solutions Implement automated testing frameworks and integrate them into development workflows Explore and apply AI/ML-driven innovations to improve system performance and risk analysis Work effectively with global teams across multiple locations Key Requirements Strong hands-on experience in software … Familiarity with scripting languages such as PowerShell or Python Understanding of service communication protocols (e.g., WCF, gRPC, messaging technologies like RabbitMQ) Exposure to AI, machine learning, or data-driven development is advantageous Excellent communication, analytical, and problem-solving skills Self-driven, reliable, and able to deliver high-quality ...