326 to 350 of 4,520 Machine Learning Jobs in England

impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation …/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation ...

similar technologies Optimize data pipeline performance, ensuring data accuracy, reliability, and timely delivery Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement Stay up-to-date with the latest trends and best practices in data engineering and AI, and apply them to our projects … technologies and tools to enhance our data engineering capabilities Contribute to the development of AI-powered features and products, leveraging your knowledge of machine learning and data science concepts Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 7+ years ...

Mentorship & Delivery** Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable … Orchestration & Development:** Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. **Artificial Intelligence & Machine Learning:** Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models ...

complex challenges and maximize the value of their data. At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting … will differ based on the focus of the client engagement and your skillset, but could include and may require you to:Apply data science, machine learning and AI techniques creatively to solve complex problems.Research and develop innovative solutions that deliver real-world impact.Pioneer implementation of new techniques ...

designing the backend infrastructure behind an enterprise AI platform used by investment firms, private equity, consulting businesses, and other financial organisations. Working alongside machine learning engineers, infrastructure specialists, and product teams, you'll help build systems capable of processing massive volumes of financial data while maintaining exceptional performance … powered enterprise applications. Architect and optimise data pipelines processing large financial datasets. Design efficient PostgreSQL database schemas and optimise complex queries. Collaborate closely with Machine Learning Engineers to deploy AI models into production. Build secure, highly available distributed systems with enterprise-grade reliability. Improve application performance, scalability ...

fulfil your potential with meaningful careers.**ROLE SUMMARY:**We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes.You will work closely with software engineers, SREs, product managers, platform teams … with commercial awareness and the ability to translate complex data into actionable insights and measurable business value.## **WHAT YOU'LL BE DOING:**### AI & Machine Learning Solutions* Design, build and deploy machine learning models to solve operational and business challenges.* Develop predictive analytics capabilities focused ...

applications by building scalable platforms that bring cutting‐edge AI capabilities into real‐world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across … optimization Create robust data and inference pipelines that support both real‐time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact ...

expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering. Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. Proficiency in automation and continuous delivery methods; advanced understanding of agile … environments in public cloud. Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. Knowledge of machine learning, statistical techniques, and related libraries. #J-18808-Ljbffr ...

high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We’ll Trust You to: Build and maintain highly scalable, resilient and observable … needs into engineering‐ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies ...

when solutions are engineered to be scalable, secure and accountable. That is exactly what you will help our clients to achieve.You will apply AI, machine learning and Generative AI capabilities to address complex policy and operational challenges, helping clients move from isolated use cases to enterprise-scale, production … technology stakeholders to understand business challenges and translate them into practical AI solution designs.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are robust, scalable and secure.Drive the operationalisation of AI solutions using modern engineering practices, including ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals - Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery - Experience building AI-powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps … LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production‐level ML and AI workloads, including end‐to‐end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve ...

Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps … LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader.Impact you will haveArchitecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services.GenAI Leadership: Serve as a practitioner for enterprise ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals – Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery – Experience building AI‐powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

mission-critical fraud prevention solutions.Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.What excites youBeing a self-starter who thrives on taking a vague business problem and owning … challenges.Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.What excites usYou hold a degree (or PhD) in a STEM discipline ...

products and solutions. Stay up-to-date with industry trends and best practices in data science, finance, and technology. Work with the Product and Machine Learning teams to develop new strategies for data extraction from unstructured text such as PDF's. What We're Looking For: Proven experience … techniques. Excellent writing skills, with the ability to create clear and concise reports and documentation. Proficiency in Python. Solid understanding of statistical analysis, machine learning, and predictive modeling. Strong problem-solving skills and attention to detail. Ability to work independently and collaboratively in a fast-paced, dynamic environment. ...

model optimizationCreate robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scalePartner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and servicesBuild systems that enable AI agents to reason, automate tasks, interact with tools … team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing.The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate ...

Ideal Qualifications (but not required) You have experience in building AI applications within financial services. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What … automated decision‐making in financial services — setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together ...

position supports project delivery by participating in planning discussions and following established methodologies. The role involves contributing to software design at the component level, learning and applying best practices through hands-on work and code reviews, and developing communication skills by engaging with team members to understand requirements … part of your workflow.Contributing to ELT and ETL pipelines for data ingestion into search, graph, and relational data stores.Writing clean, well-tested code and learning best-practice software engineering principles, including CI/CD.Contributing to cloud infrastructure on AWS, with support from the wider team.Participating in code reviews ...

high‐ownership role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity … deliver them end‐to‐end, from first principles through to being deployment‐ready and beyond. WHAT YOU'LL BE DOING End-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

deep-dive analyses that uncover the drivers behind business performance, diagnose unexpected trends, challenge assumptions, and identify new growth opportunities.Apply sophisticated quantitative methods—including machine learning, causal inference, synthetic controls, difference-in-differences, and propensity score matching—to answer complex business questions with statistical rigor.Build and evolve customer … Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.Demonstrated experience applying advanced analytical methods—including machine learning, causal inference, synthetic controls, or difference-in-differences—in a business context.Experience developing and deploying analytical models in research and production environments.Experience presenting findings ...

investment management workflows.Experience with advanced retrieval-augmented generation and multi-agent systems.Certifications such as:Databricks Certified Generative AI Engineer AssociateSnowPro Specialty: Gen AIAWS Certified Machine Learning Engineer – AssociateAWS Certified Machine Learning – SpecialtyCFA charterholder or active candidate.FINRA RequirementsFINRA licenses are not required and will not be supported ...

Agentic Solutions using world's most advanced LLM models from Anthropic, OpenAI and others \n \n Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data. \n \n Design code and systems that touch … operations flows in diverse agile squads \n \n Opportunities to make a difference on a global or local scale through mentorship and continued learning and experiments. \n \n \n Essential Functions: \n \n \n Demonstrates in-depth technical proficiency to accurately interpret and address project requirements. \n \n Identifies ...