701 to 725 of 6,442 Machine Learning Jobs in the UK

diffusion, flow matching, transformers, and GANs.4+ years of experience in machine learning frameworks (TensorFlow/PyTorch) with a proven history of building ML pipelines in the audio domain. Proficiency in Python, including package development and collaborative coding practices (e.g., open-source contributions).Expertise in performance analysis and optimization … ML systems. Hands-on deployment experience with systems like TensorFlow Lite, ONNX, TVM, and Glow. Strong familiarity with cloud compute environments, ideally AWS, and data ingestion (e.g., TF Data pipelines).Knowledge of source control and project tracking systems (e.g., GitHub, Jira). Preferred ExperienceTrack record of research publications in conferences ...

powered customer experiences across Lloyds Banking Group Working as part of multidisciplinary teams, the role contributes to the development, deployment and operation of machine learning, generative AI and agentic AI solutions that power strategic capabilities such as Conversational AI, AI Search and personalised customer engagement The successful candidate … contribute throughout the software development lifecycle Awareness of Responsible AI, model governance, security and operational considerations when deploying AI solutions Applied AI/ML and GenAI experiencewith knowledge ofestablishedpatterns(RAG, tool use, guardrails, evaluation, agents)and anability to evaluate toolsandapproaches Strong communication skills, with the ability to explain technical concepts ...

knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including proficiency in Python … experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector ...

Engineer to join a growing team to ingest, cleanse and model data into single source of truth, Kimball datasets, used for Business Intelligence reporting, ML, DS & AI and more. A Senior Data Engineer to manage, lead, guide, advice and develop technology and people. Responsible to lead the work, activities, oversight … technologies, such as Azure Stream Analytics, Spark Structured Streaming, etc. Power BI Engineering experience Certified SCRUM Developer (CSD) Data Governance tool experience e.g. Purview Machine learning and Artificial intelligence CDW is committed to being an AI-fluent organization We’re looking for people who bring curiosity, a learner ...

business. This is an exciting opportunity for a Data Scientist/AI Engineer to join a forward-thinking company that is leveraging AI, machine learning and advanced analytics to drive smarter decision-making, improve operational efficiency and unlock new commercial opportunities. Working within a highly collaborative environment … Doing Analyse large volumes of structured and unstructured data to identify trends, insights and opportunities. Design, develop and optimise AI pipelines and machine learning models. Build and deploy Generative AI and LLM-based applications. Develop Retrieval-Augmented Generation (RAG) solutions and AI-powered assistants. Create scalable applications using ...

powered customer experiences across Lloyds Banking Group. Working as part of multidisciplinary teams, the role contributes to the development, deployment and operation of machine learning, generative AI and agentic AI solutions that power strategic capabilities such as Conversational AI, AI Search and personalised customer engagement. The successful candidate … love you to be part of the journey. What we're looking for? Proven experienceengineeringtechnologysolutions in complex environmentsandsupportingproductionoperations Applied AI/ML and GenAI experiencewith knowledge ofestablishedpatterns(RAG, tool use, guardrails, evaluation, agents)and anability to evaluate toolsandapproaches Experience working with conversational AI platforms and customer-facing AI applications. Experience ...

Code (Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama ...

science capability that partners with stream-aligned teams. You'll report into the Data Science Team Manager and lead end‐to‐end DS/ML projects, shape standards, mentor teammates, and ship models into production, balancing quick wins with robust engineering. In particular, we are currently exploring ideas around using … marking consistency in a range of qualifications. Tech focus: Python and AWS (or equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you'll doPartner with stakeholders across the business to explore high ...

Join a growing technology consultancy specialising in driving AI and machine learning adoption across the UK government sector. You’ll play a key role in building sophisticated software and data solutions, combining hands‐on engineering with technical leadership to help deliver secure, scalable technology with real‐world impact. … Python, TypeScript and SQL across a variety of applications and integrations. Support the delivery of technology solutions helping public‐sector organisations adopt AI and machine learning effectively. Deploy and maintain applications within cloud environments such as Azure and GCP. Use Docker and Linux to support reliable application deployments ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods … such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods … such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable ...

exciting opportunity to join a growing AI and data-driven technology business that is building innovative products powered by advanced analytics and machine learning. You will play a pivotal role in shaping scalable data infrastructure, influencing technical direction, and delivering solutions that create measurable business impact. THE COMPANY They … analytical, and AI data environments. Build robust SQL and Python-based data solutions for production use. Develop and enhance data models that support analytics, machine learning, and customer insight initiatives. Contribute to CI/CD processes, deployment automation, and version-controlled engineering practices. Collaborate with data scientists, product ...

cloud data and AI platforms (AWS/Azure), following sound software engineering, testing and CI/CD practices. Apply analytics, experimentation, AI/ML integration, governance, security and data quality practices as part of delivery teams. Create clear data visualisations and explanations that help users understand and act on insights. … fundamentals, including Git, testing, CI/CD and modular design. Basic analytics and statistical understanding, including metrics and simple experimentation. Awareness of AI/ML concepts, such as using model APIs or prompts, with a desire to build experience in this area. Understanding of data governance, security and quality concepts ...

existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process. Build and maintain relationships with clients ...

data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt modern approaches to data engineering ...

delivery team. Experience of applying knowledge of cloud computing, including architecting and deploying solutions, and selecting appropriate tools and design patterns. Exposure to advanced machine learning techniques (e.g. reinforcement learning, deep learning). Experience owning the day-to-day resource allocation of a large team … external clients and partners within the public sector for successful technical delivery and to build strong long-term relationships Knowledge of data science and machine learning concepts and principles. Expertise in Python and SQL, both for development and to review code. Strong working knowledge of database systems (e.g. ...

have the right data in the right place, providing access to insight, and delivering advanced capability to answer strategic questions using Data Science and Machine Learning. Utilising our advanced Google Cloud data platform, the Data Scientist explores complex datasets across our operations from field to fork to build predictive … decision-making. Accountabilities Customer Build trusted relationships with internal stakeholders to understand operational context and business priorities. Solve complex business problems using applied mathematics, machine learning, and statistical modelling. Own data science deliverables over the full life of data products, providing clear updates and presenting complex statistical outputs ...

build, and deploy production-ready GenAI solutions. This hybrid role can be based from London or Sheffield and is ideal for an AI Engineer, Machine Learning Engineer, or Software Engineer with 3 to 5 years of experience working across Generative AI, LLMs, Python, APIs, and cloud-based … Collaborate with stakeholders to turn business requirements into practical AI solutions. Required Skills and Experience 3 to 5 years of experience in AI engineering, machine learning engineering, software engineering, or data-focused development. Hands-on experience with Generative AI, LLMs, RAG, prompt engineering, or AI agents. Strong Python ...

Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … Role As a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build ...

built on our Power BI and Microsoft Fabric analytics platform. Over time, the role will expand into other innovative data solutions, including AI- and machine learning-driven insights and other statistical techniques. This role requires close collaboration with product managers, product owners, data engineering, and other internal … capabilities, including personalization. Design, and at times build, analytics content within our Power BI and Microsoft Fabric environment. Identify opportunities to apply AI and machine learning — such as natural language querying, automated insights, or predictive analytics — within the GRC analytics experience. Assist in the upskilling of the Custom ...

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 … related field, or equivalent experience. Desired Skills Ability to write code or scripts (e.g., Python) to build automation directly. Experience building AI/ML‐powered or agentic applications, and with API integrations, CI/CD pipelines, or deploying production‐grade services. Technical background in systems administration, software engineering, cloud security ...

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 ...