551 to 575 of 4,511 Machine Learning Jobs in England

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 and business … technical expertise 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 SolutionsDesign, build and deploy machine learning models to solve operational and business challenges.Develop predictive analytics capabilities focused on incident prevention ...

cost efficiency Establish engineering best practices through hands‐on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity Evaluate emerging AI technologies through practical prototypes, proof‐of‐concept ...

most ambitious work of your career, join us.Attributes We ValueWe hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with … thresholds, utilizing advanced data analytics to minimize false positives while maintaining high detection rates.Govern the deployment of advanced analytics within the compliance ecosystem, including machine learning models and graph databases, while establishing data governance standards to ensure input pipeline integrity.Establish a robust model validation framework to independently test ...

cost efficiency• Establish engineering best practices through hands-on contribution, code reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence• Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement• Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions• Build reusable frameworks, libraries, developer tooling, and platform components that accelerate AI development across multiple teams without creating unnecessary abstraction or complexity• Evaluate emerging AI technologies through practical prototypes, proof-of-concept ...

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for 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 … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and 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 ...

where customers come to build data and analytics platforms. You will focus on real time and batch-based data processing, business intelligence, analytics, and machine learning systems. These solutions are built alongside the customer and quickly put into production use in a matter of weeks. You'll work … fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.Deep understanding of data, application, server, and network securityExperience with Statistics, Machine Learning and Predictive Modelling.Hands on experience as a database, data warehouse, big data/analytics developer or administrator, or work as a data ...

MONY Group Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision-making. … platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across MONY Group. AI-assisted engineering is an important part of the role, but we do not expect candidates to arrive ...

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 ...

scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.You will:Own large new areas within our product, driving features from design through production … deployment.Work across backend, frontend, and interacting with LLMs and ML modelsDevelop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.Deliver experiments and new features quickly, maintaining high quality and tight feedback ...

position will suit an architect who can move comfortably between traditional enterprise data approaches and modern patterns such as lakehouse, streaming, data mesh and ML-enabled platforms – and who values clarity, governance and technical rigour. Candidates must be eligible for SC clearance (existing SC clearance desirable). What experience … NoSQL technologies.Understanding of ETL/ELT design trade-offs.Awareness of DevOps practices and CI/CD for data platforms.Understanding of how ML/AI workloads integrate into data architectures.Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required.Governance, Security and Data ManagementExperience designing within structured architectural governance ...

oriented, with a bias towards flexibility and impactWillingness to pick up slack, even if it goes outside your job descriptionDesire to learn more about machine learning systems and infrastructureThrive in environments where technical excellence directly drives both business results and research breakthroughsCare about the societal impacts of your … workPreferred qualificationsSignificant experience with high-performance, large-scale distributed systemsExperience implementing and deploying machine learning systems at scaleExperience building load balancing, request routing, or traffic management systemsFamiliarity with LLM inference optimization, batching, and caching strategiesDeep experience operating Kubernetes and cloud infrastructure at scaleExperience with AI accelerator platforms (GPUs ...

reviews, proposal development, and client-facing sales activitiesData governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality managementAI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architecturesAgile delivery & thought leadership - Proven agile/hybrid delivery experience with … achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also ...

build scalable, secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection. Build and deliver Generative AI and LLM-powered applications using modern AI frameworks. Lead experimentation cycles, defining hypotheses, running evaluations … iterating on models before production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including ...

firm’s business objectives. You will work on challenging Cloud‐native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands‐on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this … with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data ...

will play a leading technical role in the design, development and deployment of AI solutions across the organisation. You will combine software engineering, machine learning and AI platform expertise to turn innovative concepts into production-ready products that deliver measurable business value.This is a hands-on engineering role … Engineering, Operations and Product organisations.# ## **WHAT YOU'LL BRING:**Essential Experience* Extensive software engineering experience delivering production-scale solutions.* Experience building AI or machine learning systems in enterprise environments.* Demonstrated experience moving AI solutions from proof-of-concept into production.* Strong understanding of software architecture, engineering standards ...

provide actionable insights.Ensure data quality and integrity through regular audits and validation processes.Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.Minimum Qualifications:5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.Additional Responsibilities & Preferred Qualifications:Meet … 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 ...

relevant certifications (SnowPro, AWS/Azure Data)Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality managementAI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architecturesTechnical leadership at scale - Leading 15+ person cross-functional teams … achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also ...

ideas and contributions are valued with a focus on achievable improvements that get used every day.We’ll Count on You To:Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise … Need to Have:7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity.5+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent ...

ideas and contributions are valued with a focus on achievable improvements that get used every day.We’ll Count on You To:Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise … Need to Have:7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity.5+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent ...

professional services firms. Our Artificial Intelligence & Data (AI&D) team at Deloitte is at the forefront of transforming our clients’ industries through advanced analytics, machine learning, and artificial intelligence. Our clients include some of the largest and most well-known organisations, brands and public bodies. We partner with … develop solutions that leverage the latest AI & Data technologies.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 next ...

Data & AI frameworks and methodologies to grow our practice and ensure scalable, repeatable delivery. Mentor and support junior consultants, fostering a culture of continuous learning and development. What experience you'll bring: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.Currently … years of experience in data consulting, data strategy, or a related role.Deep understanding of trends in data governance, data platforms, cloud technologies, AI/ML, and analyticsExperience of leading and delivering Data & AI projects.Strong problem-solving skills and the ability to think strategically.Ability to work independently and as part ...

Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also … architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish ...

maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation, and insight generation.Generative AI and Context Engineering: Develop generative AI enabled solutions … Python, SQL, and/or similar languagesExperience building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. ...

influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The role We are looking for an experienced … security, compliance, and data protection are followed across all infrastructure components. · Mentoring and providing guidance to junior engineers, promoting a culture of continuous learning and improvement. Your skills & experience Must‐haves to be successful in this role · Strong experience in Go or C# programming languages (ideally both). · Extensive ...

with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation.With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance … database basics:Understands REST APIs, HTTP fundamentals, SQL, and basic system design concepts such as client-server architecture and caching. Ownership and learning mindset:Takes initiative, seeks feedback, learns quickly, and can deliver assigned tasks with minimal supervision. Strong communication and collaboration:Communicates progress, asks thoughtful questions when blocked ...