151 to 175 of 4,741 Machine Learning Jobs in the UK excluding London

sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Additionally, you will play a key role in mentoring and developing junior data engineers. Key Responsibilities: Automate and maintain data pipelines within … large datasets using Python and SQL. Set up new pipelines for data streaming, enrichment, and curation. Manage and maintain source code repositories (GitHub). Investigate and apply AI/ML solutions to enhance cloud capabilities. Key Skills & Experience: Strong proficiency in SQL and Python. Experience in cloud data solutions (AWS, GCP, or Azure). Experience in AI/ML. Experience More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

team of experts to solve complex business challenges using cutting-edge AI technologies. KEY RESPONSIBILITIES Design and architect solutions using state-of-the-art frameworks and cloud technologies Build machine learning models for marketing attribution, predicting customer propensity, segmenting … customer groups based on behavioural data, and recommending products and/or content. Fine-tune Large Language Models to business-specific use cases. Deploy MLOps pipelines together with our ML engineers. Work closely with data engineers, fellow data scientists/AI engineers and consultants to ensure seamless integration and deployment of AI solutions that create business impact. Communicate with clients … AI solutions. WHAT WE ARE LOOKING FOR Degree in Computer Science, Data Science, Information Management, or a related field. 3+ years of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas More ❯

led to data-led, enhancing efficiency and customer experience. We seek someone passionate about data and advanced analytics, willing to challenge the status quo, and proficient in AI/ML in a commercial setting. The ideal candidate is creative, curious, and logical in problem-solving. This is an excellent opportunity to join a dynamic, supportive team working on diverse insurance … and to determine how we best comply with new and upcoming regulations. Work with colleagues to determine the required sources and how they are best used. Use AI/ML and data science techniques to reduce the need for manual work in the People Function space, including analysis of structured numerical data and application of LLMs and similar tools to … as a role model to maintain a culture of curiosity, support and honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at More ❯

led to data-led, enhancing efficiency and customer experience. We seek someone passionate about data and advanced analytics, willing to challenge the status quo, and proficient in AI/ML in a commercial setting. The ideal candidate is creative, curious, and logical in problem-solving. This is an excellent opportunity to join a dynamic, supportive team working on diverse insurance … and to determine how we best comply with new and upcoming regulations. Work with colleagues to determine the required sources and how they are best used. Use AI/ML and data science techniques to reduce the need for manual work in the People Function space, including analysis of structured numerical data and application of LLMs and similar tools to … as a role model to maintain a culture of curiosity, support and honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at More ❯

within Azure, ensuring efficiency, cost-effectiveness, and scalability, leveraging Azure Synapse Analytics, ADLS Gen2, and Databricks Workflows Data Modelling & Architecture – Implement robust data models to support analytics, reporting, and machine learning, using Delta Lake and Azure Synapse. Automation & Observability – Use Databricks Workflows, dbt, and Azure Monitor to manage transformations, monitor query execution, and implement data reliability checks. Data … preferred for advanced Spark applications). Experience working with Databricks Workflows & Jobs for data orchestration. Strong knowledge of feature engineering and feature stores, particularly in Databricks Feature store for ML training and inference. Experience with data modelling techniques to support analytics and reporting. Familiarity with real-time data processing and API integrations (e.g., Kafka, Spark Streaming). Proficiency in CI … using Azure DevOps, GitHub Actions, or Terraform for Infrastructure as Code (IaC). Understanding of MLOps principles, including continuous integration (CI), continuous delivery (CD), and continuous training (CT) for machine learning models. Experience with performance tuning and query optimisation for efficient data workflows. Strong understanding of query optimisation techniques in Databricks (caching, partitioning, indexing, and auto-scaling clusters More ❯

from AI investments Ideate, design and implement AI-enabled marketing solutions such as customer segmentation models, recommendation systems and campaign optimization algorithms Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift Develop and implement marketing measurement … AI regulatory risks, particularly in the context of the EU AI regulatory framework Maintain up-to-date knowledge of industry trends, emerging technologies and regulatory changes impacting AI/ML, particularly in the marketing domain Support pre-sales activities including client presentations, demos and RFP/RFI responses Requirements Bachelor’s or Master’s degree in Data Science, Computer Science … chatbots and content generation Proven experience in marketing-focused data science projects, such as customer segmentation, campaign performance analytics and predictive modeling for marketing strategies Familiarity with AI/ML tools and platforms commonly used in marketing data science, such as Tableau, Power BI, Google Analytics, HubSpot or Salesforce Marketing Cloud Strong understanding of ML Ops principles and experience in More ❯

Engineer role at Allianz UK Get AI-powered advice on this job and more exclusive features. Role Description In this role, you will be instrumental in creating fully operational machine learning products aimed at solving problems at the core of our business. Your engagement will encompass all phases of these projects, including liaising with business subject matter experts … model extract generation, deployment, and ongoing monitoring. Role Description In this role, you will be instrumental in creating fully operational machine learning products aimed at solving problems at the core of our business. Your engagement will encompass all phases of these projects, including liaising with business subject matter experts, model extract generation, deployment, and ongoing monitoring. Additionally, you … is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package. About You Building and monitoring end-to-end machine learning solutions deployed onto Azure. Creating data extracts to address complex business challenges, and collaborating across teams for all aspects of project delivery. Developing CI/CD processes More ❯

Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary … mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week) #J-18808-Ljbffr More ❯

Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data … environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and talented Associates … all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all More ❯

and Zoetis Tech and Digital organizations, and other enabling functions. To be successful, the ideal candidate will demonstrate a thirst for knowledge and a natural curiosity to enable rapid learning of the Zoetis business model and data & analytics infrastructure at a scale to support a growing business. The position requires a candidate who is comfortable translating and connecting the … Build advanced analytics to extract key strategic insights (product, customer, etc..) to inform key strategic decisions. Build, test and validate predictive models to support business needs. Implement and maintain machine learning models in production environment. Monitor model performance and refine algorithms to ensure accuracy and relevance. Partner with Data Governance to implement data governance framework to improve data … Parsippany preferred Full timeRegularColleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the More ❯

KPMG Ireland is an opportunity to enhance your career, not only in the work that you enjoy doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark. Location: Belfast, as part of our hybrid working model. Grade: Consultant Contract type: Permanent Are you our next … teams, including data engineers, data scientists, AI specialists and business and process SMEs. You understand that delivery is a team sport and work collaboratively to achieve sustainable results, while learning from and mentoring your colleagues. You have a growth mindset and want to be part of a team that is innovative, yet confident in high quality delivery. Preferred Technical … analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise More ❯

2. Design and Propose AI Architectures Translate client requirements into scalable, cloud-based AI architectures that address both technical feasibility and business impact. Propose end-to-end AI/ML solutions-including model design, data pipelines, MLOps, and platform integration-tailored to each opportunity. 3. Support Sales and Bid Activity Lead the technical response for AI-related RFPs, RFIs, and … Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power BI + Azure ML, Hugging Face, LangChain, GPT APIs). 5. Track Industry Trends and Use Cases Stay ahead of market trends in Generative AI, Responsible AI, and emerging AI use cases across sectors. … Skills Proven experience in pre-sales or client-facing architecture roles involving AI, data science, or analytics. Strong ability to elicit business needs and align them with AI/ML solutions in cloud environments (Azure, AWS, or GCP). Deep technical understanding of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing More ❯

and improvement. Implement changes to enhance efficiency, reliability, and scalability. Technical Leadership and Mentorship: Provide mentorship and leadership to the data engineering team, fostering a culture of collaboration, continuous learning, and innovation. Guide and support data engineers in their professional development and ensure adherence to best practices. Advisor Role: Serve as a trusted advisor to the Director of Data … Strong verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders and collaborate effectively with diverse teams and clients. Preferred Skills: Knowledge of machine learning and AI technologies. Experience with big data tools and techniques. Familiarity with data visualization tools and reporting software. Builds open and trusting relationships Acts in the organisation More ❯

management. You can stay technically-focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously, and will make … with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir More ❯

data-related requirements, contributing to strategic planning and execution. Architect and develop data solutions, spanning from backend infrastructure to data model design and the implementation of data science and machine learning algorithms. Lead development activities, mentor team members and share your knowledge in a context of continuous improvement. Continuously enhance the quality of our tools and applications through More ❯

data-related requirements, contributing to strategic planning and execution. Architect and develop data solutions, spanning from backend infrastructure to data model design and the implementation of data science and machine learning algorithms. Lead development activities, mentor team members and share your knowledge in a context of continuous improvement. Continuously enhance the quality of our tools and applications through More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at 'going the extra mile' to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at 'going the extra mile' to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

stability. Advanced proficiency in one or more programming languages. Advanced knowledge of software applications and technical processes, with deep expertise in one or more technical disciplines (e.g., cloud, AI, machine learning, LLM). Ability to independently troubleshoot design and functionality issues with minimal oversight. Preferred Qualifications, Capabilities, and Skills Extensive hands-on experience and certification in AWS and More ❯

activities for team understanding. Develop and uphold best practices in data engineering and analytics following Agile DevSecOps methodologies. Experience Requirements: Strong analytical skills, including statistical analysis, data visualization, and machine learning techniques. Proficiency in programming languages such as Python, R, and Java. Experience in building modern data pipelines and ETL processes with tools like Apache Kafka and Apache More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at ‘going the extra mile’ to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at ‘going the extra mile’ to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

the team. Why Join? Collaborate with a skilled, multidisciplinary team on a modern SaaS data and search platform Get involved with cutting-edge areas such as vector search and machine learning Thrive in a culture that encourages experimentation, innovation, and continuous improvement What’s in It for You? Competitive compensation and benefits Flexible remote-first setup with periodic More ❯