201 to 225 of 6,144 Machine Learning Jobs in the UK

London‐based team. Core Technical Qualifications: Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science – traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern ...

experiences worldwide. Задачи: Design and implement agentic systems using RAG, grounding, prompt engineering, and orchestration on a GCP-first stack; Build and maintain production ML pipelines and services for recommender systems, customer segmentation, marketing optimisation, and other non-GenAI use cases; Develop secure, scalable, and observable APIs and microservices …/ML solutions; Implement CI/CD for ML services and infrastructure as code; Monitor model and data drift and performance; Establish guardrails for safe AI usage, including prompt security, evaluation frameworks, and privacy compliance; Contribute reusable components, documentation, and engineering best practices; Collaborate with data engineers, data scientists, front ...

Senior Software Engineer — Pricing AI (Manchester) The Role We are seeking a talented Senior Developer with a strong focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data … into our product ecosystem. This role requires a mix of software engineering excellence, an eye for automation, and hands‐on experience with AI/ML frameworks. If you are passionate about leveraging Python to solve complex problems and deliver scalable AI solutions, we want to hear from you. Experience ...

help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions … evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner ...

Company Description Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge … only masters Data Science techniques but can also lead projects end-to-end – from initial client discussions and solution design to production deployment of ML models. You will be responsible for: Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms ...

pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly Implements platform-level security, secrets … cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/ ...

learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using … Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. Lead the end-to-end design, development ...

learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using … Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. Lead the end-to-end design, development ...

Retrieval, embeddings and semantic search Narrative detection and clustering Multilingual text intelligence Large-scale data and model pipelines Model evaluation, observability and monitoring Production ML infrastructure on AWS The problems are often open-ended. You might be evaluating how reliably different models identify changes in a market narrative, improving entity … scale historical and real-time datasets. Carry out detailed error analysis and use what you find to improve model and system performance. Build reliable ML infrastructure Develop and maintain data and machine learning workflows using technologies such as Apache Airflow. Help improve CI/CD, automated testing, monitoring ...

Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver high quality AI/ML solutions. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Have a deep understanding and developing …/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code ...

Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver high quality AI/ML solutions. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Have a deep understanding and developing …/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code ...

others, we’ve been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner … Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Title: Sr. Client Partner – Insurance | Quantiphi EMEA Experience ...

seeking a Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will join the Applied AI/ML Software Engineering team, collaborating with technology teams across the firm, contributing to both … support of the firm's business objectives. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open ...

consideration and company funding. Your main responsibilities will be to Have an in-depth knowledge of the management, methods for development, methods for deployment, ML-Operations and procurement of AI solutions in multiple projects and/or solution elements, and specifically: Understanding and Management of Generative AI and associated technologies … that corporate AI capability is advanced. Support workshops, discovery activities and requirements gathering. Be adept with both Predictive Analytics environments as well as ML Classifiers. Develop solutions for, and in deploying on, public and private cloud technologies, particularly Azure or AWS. Manipulate, process, and extract value from large, disconnected datasets ...

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. ...

clients, understanding their needs, and translating them into effective outcomes. RequirementsKey Responsibilities Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine … deploy AI-powered services Contribute to architecture decisions and technical roadmaps Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning ...

deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling … models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish ...

forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI/ML models, including time series ...

forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI/ML models, including time series ...

build stunning dashboards used by Sales, Buying, Ops & Finance Optimise datasets for performance, cost, and freshness (partitioning, clustering, and incremental models). AI/ML Enablement Work with Liberty’s AI & Automation Dev Team to prepare and expose curated data to our AI/ML toolsets and workflows. Stakeholder Enablement … Experience with Lakehouse patterns; setting standards, quality checks etc. Parquet partitioning and clustering to optimise for query speed and cost GitHub Actions REST APIs ML Ops tooling What can you expect 25 days holiday excluding public holidays increasing after 2 years’ service Personal bonus of up to 5% of salary ...

experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling … Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your ...

implementation of agentic workflows, retrieval-augmented generation, enterprise search, predictive models, and AI capabilities embedded in digital products. Determine when to use deterministic software, machine learning, large language models, human review, or a combination of approaches. Establish evaluation-driven development practices, including test datasets, error analysis, deterministic checks … REQUIREMENTS 10+ years of experience across software engineering, data engineering, machine learning, or related technology disciplines, including significant experience leading AI or ML solutions. Demonstrated experience designing, building, and operating AI or machine learning applications in production - not only proofs of concept. Strong software engineering foundation ...

identify high‐value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross‐Functional Delivery: Collaborate closely with Data Analysts, Data Engineers … closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands‐on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval‐augmented generation ...

broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers. In this role, you will design statistical and machine learning … rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure. Apply data science to improve Google Cloud ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering ...