226 to 250 of 4,924 Machine Learning Jobs in England

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

Colombia. About Technology. Technology at Huge is powered by a global practice of creative technologists—spanning Engineers, QA specialists, Business Analysts, Data Scientists, and ML Architects,we look beyond standard patterns to build resilient, enterprise-grade systems. We combine deep engineering rigor with innovation at the edge of agentic ...

data security‐by‐design, privacy, compliance and governance aligned to government and industry standards. Familiarity with contemporary analytical and digital services (e.g., AI/ML, BI, automation). Appreciation of emerging technologies such as IoT data processing, edge analytics and automation where appropriate. Industry Experience Experience working within Local Government ...

Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next‐generation recommendation and ranking models. Solve complex, non‐linear travel journeys … closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi‐task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid‐level ML scientists. Foster a culture of technical excellence, driving best practices ...

Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys … closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices ...

help lead the design, development, and maintenance of high-quality software solutions Consume and extend our internal machine learning library to surface ML functionality to users through the backend Design and build the scalable, high-performance backend services and APIs that deliver functionality to users, applying security best … similar async Python frameworks) Strong working knowledge of modern machine learning — able to understand, integrate, and extend the functionality of an ML library (NumPy, SciPy, Pandas, and frameworks such as scikit-learn or PyTorch) Understanding of core ML concepts — model training, evaluation, and production trade-offs — enough ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you’ll be doing As a Senior Machine Learning Engineer, you’ll play a meaningful role in building and maintaining machine learning solutions in production across the Consumer business within … Lloyds Banking Group. You’ll bring strong software engineering experience applied within a machine learning and data environment, using this to make things better for the Group and its customers. Being part of the Consumer Data Science team will allow you to gain insight into how the business ...

supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you’ll be doing As a Senior Machine Learning Engineer, you’ll play a meaningful role in building and maintaining machine learning solutions in production across the Consumer business within … Lloyds Banking Group. You’ll bring strong software engineering experience applied within a machine learning and data environment, using this to make things better for the Group and its customers. Being part of the Consumer Data Science team will allow you to gain insight into how the business ...

build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life … cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data ...

generative AI solutions that can move from experimentation into production. You'll work closely with product owners, data engineers, software engineers, and other ML practitioners to design, test, improve, and deploy AI/ML capabilities at scale. This is a hands-on role for someone who enjoys solving technical problems … into reliable systems. Job Responsibilities: Apply machine learning, deep learning, and generative AI techniques to business problems Design, run, and evaluate ML experiments using current tools and frameworks Work with large language models, AI agents, and related methods to enhance ML workflows Write production-quality code ...

Senior AI/ML Computational Scientist Career Level: Senior Manager/Associate Director YOU ARE As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Established experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow ...

innovation in this fast evolving space as new technologies reshape how money moves. In this role, you will work at the forefront of modern machine learning and generative AI to deliver meaningful, lasting impact on global finance. You will partner closely with product, operations, risk, and technology teams … measurable outcomes. You will also have opportunities to mentor others and help shape how we build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment of machine learning ...

-learning, product, data and platform partners. This is a hands-on engineering role for someone who can move comfortably between software architecture, ML lifecycle decisions and production operations. You will improve the paths the team uses to train, evaluate, deploy and observe models, while helping us manage latency … including tool routing, retrieval, guardrails and answer caching. Design caching as an intentional latency and cost lever for high-volume services. Build observability for ML and LLM systems, including latency attribution, quality metrics, tracing and per-request cost. Improve the reliability and operability of distributed systems, and lead the diagnosis ...

activities Excellent environment for learning and growth Further benefits, depending on location About the Role We are looking for Applied AI/ML Engineers, early in their careers, who are excited by the current generation of AI-native software development. This is a hands‐on builder role: you will … equally keen to build and operate real systems in AWS, driving that infrastructure through Claude Code itself. You may come from a data science, machine learning, software engineering or technical STEM background. Traditional data science skills such as experimentation, model evaluation, data analysis and pipeline development are useful ...

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI 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 on the 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 ...

here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Role Overview We are seeking a ML Ops Engineer to join our Platform Engineering team at Anaplan. In this role, you will design, scale, and maintain high-performance MLOps and LLMOps infrastructure … supporting our cutting-edge AI-infused scenario planning platform. You will work closely with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while ensuring optimal GPU utilisation, reliability, and cost-efficiency. Your Impact Provision and manage cloud-native AI/ML infrastructure utilising ...

Senior Specialist Solutions Architect (AI/ML) London, United Kingdom 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 … 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, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design ...

culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As an Applied AI ML Director, Risk Management & Compliance at JPMorganChase within the Digital Strategy and Enablement team, you will be supporting Market Risk, Country Risk and Principal Risk … high-performing team focused on deep data understanding and advanced analytics, driving the development of robust tools and solutions using cutting-edge AI/ML techniques, cloud technologies, and enterprise knowledge bases. In this strategic and hands-on role, you will engage with technical aspects, review code, monitor the impact ...

build what’s next – together! You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the ML Engine behind the Syrup platform and Anaplan’s forecasting solutions. The team is responsible for the production execution of forecasting and predictive models, the MLOps infrastructure supporting … services that deliver insights to enterprise customers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with data scientists, ML engineers, and platform partners. Your Impact Design and implement scalable, fault-tolerant predictive intelligence services and features as a core contributor to the ML Engine ...

enjoy turning ambiguity into reliable production systems, you’ll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. … algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI ...

build, and deploy scalable machine learning algorithms and software solutions. Analyse, cleanse, and normalise complex time-series data and dynamical systems. Integrate ML models into production using cloud platforms and modern JavaScript frameworks. Collaborate within an Agile environment to deliver robust data structures and algorithms. What … engineering and data science capabilities: Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular). Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce, streaming). Data Expertise: Experience with time-series data, dynamical systems ...

effective AI solutions. This is a hands-on technical leadership role, ideal for someone currently operating as a Lead AI Architect, Principal AI/ML Engineer, AI Engineering Lead, Principal Architect, AI Practice Lead or similar , and looking to take the next step into an Associate Director-level position. … public sector environments. Lead the development and deployment of production-grade Generative AI and Machine Learning solutions. Architect systems integrating LLMs and ML models into wider enterprise applications and workflows. Oversee the full technical lifecycle, from solution design and model selection through to deployment, monitoring and continuous improvement. ...

build production‐ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. … production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands‐on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. ...

excellence Drive high-quality scientific research and innovation. Publish and present methods and findings internally and externally; contributefirst- or last-author publications in leading ML and clinical AI journals where appropriate. Mentor junior scientists and contribute to developing best practices within the organisation. Stay at the forefront of advances … Systems Biology, or a closely related quantitative discipline - with a strong, hands-on computationaltrack record. Demonstrated experience of high-impact application of AI/ML methods to biological, translational, or clinical data. Deep knowledge of one or more areas of modern AI: foundation model training and fine-tuning adaptation (e.g. ...