676 to 700 of 4,931 Machine Learning Jobs in England

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 ...

Replicate, Qlik Compose, Databricks, Informatica, or SAS. Understanding of data modelling methodologies, including Kimball, Data Vault, and Lakehouse. Awareness of Data Science, AI, and Machine Learning principles and practices. Experience with testing frameworks, standards, and quality assurance practices. Experience deploying, industrialising, and scaling Machine Learning models. … Hands-on experience with Machine Learning frameworks such as TensorFlow or PyTorch. Experience leading, coaching, and mentoring colleagues, with oversight of data product delivery within an Agile environment. About us In 2025, Coventry Building Society purchased The Co-operative Bank. Bringing together our purpose-led building society with ...

Sciences customers across European markets Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets Develop and apply statistical methodologies, machine learning, and AI models to solve complex, high-impact commercial and strategic business questions in the Life Sciences space Build and design … validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics Strong problem-solving and communication skills, with a track record of collaborating effectively across ...

excellent benefits Requirements for Senior Security Researcher - AI & Cybersecurity: Strong academic background, ideally including a Master's or PhD in Cybersecurity, Computer Science, AI, Machine Learning or a closely related subject Strong knowledge of cybersecurity and attacker techniques Good understanding of networking and network security Knowledge of generative … Security/Endpoint Security/Security Tools/Threat Intelligence/Prompt Injection/Adversarial AI/CCNA/Linux Essentials/SOC/Machine Learning/Artificial Intelligence/Computer Science/Cybersecurity RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

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 ...

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 ...

product vision. As part of the wider digital and data science roadmap, will lead the design of user experiences in the software that enable machine learning and AI powered features. Will own the planning and execution of usability tests to retrospectively evaluate design effectiveness and identify areas … metrics) to support UX decisions. Familiarity with information architecture, content structure, and interaction patterns across digital platforms. Familiar with the implementation of AI and machine learning applications within a software platform, including relevant efficacy testing, oversight and governance requirements and familiarity with Sketch, or Adobe XD Problem‐solving ...

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 models. Develop 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 ...

diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self‐development. You have experience of working on agile delivery‐lead projects and can apply agile practices such as Scrum, XP, Kanban. … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists ...

areas such as propensity, profitability, forecasting, segmentation and next-best action Champion and challenger approaches that support ongoing optimisation You will also explore where machine learning, AI and alternative modelling techniques can add genuine value, while maintaining appropriate explainability, control and governance. Modernise how we work Working … standards Encourages curiosity, collaboration and constructive challenge Is passionate about developing people and building lasting capability Takes a thoughtful and responsible approach to automation, machine learning and AI Why join us? You will have the opportunity to shape a modern Decision Science function that directly connects advanced analytics ...

bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts … your work Preferred qualifications Significant experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience building load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Deep experience operating Kubernetes and cloud infrastructure ...

into our Lakehouse on Microsoft Fabric, process it through a medallion architecture, and deliver modelled, trusted data that’s ready for reporting, AI and machine learning. You’ll sit in our Data team reporting to the Head of Data, working with our Data Analysts on modelling, and with … controls. Keeping technical documentation, data lineage and platform standards in good order. Helping shape where the platform goes next, including future analytics, AI and machine learning capability. Candidate Essential Experience, Qualifications and Skills Commercial data engineering experience (4+ years) SQL (4+ years) Python and PySpark (3+ years) Microsoft ...

areas such as propensity, profitability, forecasting, segmentation and next-best action Champion and challenger approaches that support ongoing optimisation You will also explore where machine learning, AI and alternative modelling techniques can add genuine value, while maintaining appropriate explainability, control and governance. Modernise how we work Working … standards Encourages curiosity, collaboration and constructive challenge Is passionate about developing people and building lasting capability Takes a thoughtful and responsible approach to automation, machine learning and AI Why join us? You will have the opportunity to shape a modern Decision Science function that directly connects advanced analytics ...

Defining engineering standards, data models and best practice ·Driving CI/CD, automation and modern engineering practices ·Collaborating with AI engineers to productionise machine learning and AI solutions ·Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring ·Strong experience with Python … data products solving real business challenges ·Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology ...

Robotics software Perception and sensor fusion Localization, mapping, and navigation Motion or behaviour planning Manipulation, locomotion, or whole-body controls Artificial intelligence or machine learning Simulation and virtual testing Distributed or real-time software systems Ability to understand and evaluate software behaviour without being the primary implementation owner … model-based systems engineering, or software architecture modelling. Familiarity with functional safety, SOTIF, machinery safety, cybersecurity, or safety assurance for autonomous systems. Understanding of machine-learning performance, uncertainty, dataset coverage, and scenario-based validation. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ ...

review is advantageous, with prior work in credit, counterparty, or market risk considered helpful context Typically 10+ years of relevant professional experience spanning AI, machine learning, quantitative analytics, software engineering, model risk management, or related disciplines, including significant hands‐on experience with advanced AI and agentic systems Senior … responsible AI adoption across the organization. Education A strong academic background in a technical or quantitative field such as computer science, artificial intelligence, machine learning, mathematics, physics, or engineering, with a preference for candidates holding a postgraduate degree Demonstrated, hands‐on agentic AI capability is weighted alongside formal ...

strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com … Analytics**Certifications -**Certified Business Analysis Professional (CBAP) - Upgrad, Microsoft Certified: Power BI Data Analyst Associate - Microsoft, PRINCE2 Practitioner - PeopleCraft, Project Management Professional (PMP) - Virtual Learning Academy (VLA), Tableau Desktop Specialist - Edureka**Required Skills -**Automation Technology, Automation Technology, Big Data, Business Intelligence (BI), Clinical Analysis, Cloud Computing, Data Analytics, Databricks ...

experienced validators; prior work in credit, counterparty or market risk is helpful context rather than a prerequisite Relevant professional or research experience spanning AI, machine learning, quantitative analytics, software engineering, model risk management or related disciplines, we prioritize demonstrated, practical skill with advanced AI and agentic systems over … audiences, with strong written and spoken English Education A strong academic background in a technical or quantitative field such as computer science, artificial intelligence, machine learning, mathematics, physics or engineering, with a preference for candidates holding a post-graduate degree. Demonstrated, applied agentic AI capability is weighted alongside ...

manage analytical workstreams, mentor junior colleagues, and engage regularly with stakeholders up to VP level. In this role, you will: Apply advanced statistical and machine learning techniques to supply optimisation challenges, delivering data-driven insights and recommendations that create measurable business impact. Extract, structure, and transform data from … data querying tools such as Presto, Hive, BigQuery, or Hadoop Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches Experience collaborating with Machine Learning Data Science teams to validate and scale models for business impact Familiarity with inclusive data visualisation design principles, including accessible colour selection ...

Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast trends, support segmentation, evaluate impact and generate practical recommendations. Train and mentor other members … automation, modelling and repeatable analytical workflows. Working knowledge of developing semantic layers, Gold layer outputs, reusable data products or enterprise reporting models. Experience applying machine learning or advanced analytical techniques, such as predictive modelling, clustering, classification or natural language processing. Familiarity with responsible AI, model validation and monitoring ...

platforms. Familiarity with PostgreSQL, MySQL, Google Cloud SQL or BigQuery. Experience working with NoSQL technologies such as Elasticsearch, MongoDB or Cassandra. Understanding of AI, machine learning or advanced analytics environments. Experience working within financial services or another highly regulated industry. WHAT SUCCESS LOOKS LIKE Reliable and resilient compliance ...

single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That … modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice ...

help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data … encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment ...

effectiveness through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities. Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow ...