951 to 975 of 3,266 Machine Learning Jobs in the UK

what" and "why") with software engineering (defining the "how"). This role requires a strong product mindset, with deep technical expertise. AI/ML Expertise: Deep subject‐matter expertise in applying modern AI/ML techniques to solve real‐world business problems. Experience with NLP, predictive modeling, or generative … suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole ...

improve data flows between systems, data platforms, reporting tools, and downstream applications to ensure accuracy, consistency, transparency and control. Identify opportunities to apply AI, machine learning, and automation capabilities across workflows, reporting, reconciliations, data management, and operational processes to improve efficiency, reduce manual effort, enhance data quality ...

what" and "why") with software engineering (defining the "how"). This role requires a strong **product mindset, with deep technical expertise.*** **AI/ML Expertise:** Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems. Experience with NLP, predictive modeling, or generative … suit your personal circumstances* Employee Assistance Program* Pension Plan* Paid Parental Leave* Special discounts for employees, family, and friends* Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self ...

shift. As a Workday HCM Delivery Lead you will have the opportunity to: Shape solutions that make use of Workday's native AI and machine-learning capabilities to drive smarter delivery processes Apply Accenture's GenAI-enabled accelerators to speed up design, testing and documentation Help clients identify … well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best WorkplacesTM. Join Accenture to work at the heart ...

public sector environment from an agency or internal perspective. Expert understanding of the technology market, including software development, cloud, data, cybersecurity, AI/ML, and other emerging technologies. Demonstrated experience in building and executing talent acquisition strategies for critical and hard-to-fill roles. Proven experience working with senior business … collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. Were an inclusive employer, and we care about diversity in our teams. Let us know in your application if you have ...

automation, and advanced data capabilities to improve customer experiences and operational efficiency. Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation ...

Desirable Experience Experience leading Microsoft Fabric implementation or migration programmes Strong knowledge of Databricks Lakehouse architecture and engineering practices Experience designing platforms supporting AI, machine learning and advanced analytics workloads Exposure to DataOps, DevOps, CI/CD and automated deployment practices Experience working within highly regulated environments such ...

achieve. You don’t need to have worked with every tool or domain listed below. You should have strong engineering fundamentals, be comfortable learning unfamiliar technical areas, and be able to apply that learning to real quality engineering problems. What you’ll be doing Building and improving … similar. .NET development or testing workflows. Container, Kubernetes, or VM-based environments. Desktop application testing. Graphics APIs or graphics‐adjacent testing. AI/ML, MLOps, or data‐driven quality workflows. Large‐scale test infrastructure, reporting, or quality analytics. Developer productivity, platform engineering, or internal tooling. Experience introducing or improving ...

Experience with algorithmic execution strategies. Experience solving stochastic optimization problems. Experience with modern data processing technologies used for research-to-production workflows. Familiarity with machine learning techniques and their application to real world problems. Experience with AWS cloud computing environments and architecture. #J-18808-Ljbffr ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Practical cloud‐native experience We recognize that our people ...

Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply ...

commerce environments Data pipelines or operational data models Modern data tooling or orchestration platforms Experimentation or A/B testing platforms Exposure to machine learning workflows or analytics platforms Why Join Arrive? This is an opportunity to build technology that has a direct impact on revenue, customer experience ...

functional team,deliveringand deploying critical software across a variety of programmes. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

commerce environments Data pipelines or operational data models Modern data tooling or orchestration platforms Experimentation or A/B testing platforms Exposure to machine learning workflows or analytics platforms Why Join the company? This is an opportunity to build technology that has a direct impact on revenue, customer ...

/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Proficiency in Object oriented concepts, Design Patterns, Java, Spring, is essential Preferred qualifications, capabilities, and skills Exposure to cloud technologies and building ...

caring and safe environment for all teammates to succeed.Preferred/Nice-to-Have Skills* Experience designing large-scale data platforms* Experience designing AI and machine learning platforms* Experience designing container platforms#LI-ME1**Requisite Skills****Additional Skills***Barings is an Equal Employment Opportunity employer; Minority/Female/ ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … transferred to another Incident Lead What You Will Bring 5+ years of experience leading incident response investigations involving ransomware Experience leading BEC investigations Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident ...

emerging AI technologies and apply them pragmatically (not experimentally) Own the agency-wide experimentation roadmap Design structured tests with clear hypotheses, success criteria and learning outcomes Introduce advanced testing methodologies (e.g. multi-armed bandits, automation-led testing) Ensure learnings are embedded back into channel strategies, not left as theory … platform mechanics and APIs (Google, Meta, etc.) Commercial mindset - able to balance statistical rigour with business reality Desirable Experience implementing AI or ML models in marketing environments Familiarity with automation tools, cloud data platforms, and LLMs for analysis Agency experience or working in fast-paced, client-facing environments Experience designing ...

projects, delivering results in a fast‐paced environment. Experience with observability, performance optimization, and production incident response. Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field (or equivalent practical experience). Preferred Qualifications Direct experience building a Coding Agent or similar developer‐facing ...

methodologies, including CI/CD, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile). Ability to solve data‐oriented problems using technologies such as SQL, relational databases, Spark, and NoSQL. Preferred Qualifications, Capabilities ...

smooth cross-functional collaboration.Build an Inclusive Culture: Advocate for team health, inclusion, and diversity, while fostering a respectful and empowering environment that encourages continuous learning and improvement.QualificationsYou’ll be an excellent fit if you have:A proven track record as an Engineering Manager of growing and building high-performing … engineers, teams, and processes.Experience as an individual contributor or leader in the Search DomainWorked closely with Machine Learning and Data Science colleaguesWorked closely in tandem with Design and Product, as either a Product Engineer in the past, or Engineering Manager, to build rich user experiences.You can work across ...

scalable, robust services in production environments, not just prototypes.* Hands-on experience working with Large Language Models (LLMs), Generative AI and modern AI/ML frameworks; current on the AI tooling landscape and able to keep up as it evolves.* Expertise in Python in AI/ML frameworks and libraries. … Demonstrated ability to understand and engage with a complex business domain — capable of sitting with non-technical professionals, learning how they work, and translating that understanding into production tools. Prior exposure to financial markets, broking, trading or other front-office environments is a strong plus.* Experience managing technical priorities ...

teams who use the forecasts, and identify where the current approach falls short. Own production quality across the estate, working with the ML Engineer so that models are monitored, drift is caught early, and accuracy problems are traced to the right cause rather than re-tuned blindly. Work with Finance … understand the trade‐offs well enough to make and defend the choice for a given problem. You'll be supported by a dedicated ML Engineer, but you set the standard for how the area's models are built. At least 8 years in a data science or quantitative modelling role ...

strong enablement mindset: you enjoy creating standards, reusable solutions, documentation, and automation that help engineering teams move faster andmore safely. Bonus Points Experience using machine learning, heuristic analysis, or AI-assisted techniques to analyze logs, detect anomalies, spot trends, and support proactive troubleshooting. Experience building internal developer platforms ...

security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Director Expectations Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant ...