assessment of large datasets with an objective of identifying trends, insights, and opportunities for improvement. What You Will Do Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data originating and extracted from data-rich design authoring tools. Leverage the outcomes of trained data models to explore trends and define insights … R (or equivalent) programming languages for data manipulation, analysis, and model development. Experience with various machinelearning & generative AI technologies, performance evaluation, and creating end-to-end ML pipelines in Azure. Experience with generative AI models & development frameworks, specifically around LLMs and NLP. Understanding of Data governance practices, data privacy regulations, and security best practices. Proficiency with Data … Visualization Tools like PowerBI (DAX, Power Query, etc.) as well as tools for visualizing ML and GenAI apps such as plotly, seaborn, d3 and/or streamlit. Experience with using Git + source control in a team environment. Experience with Microsoft Fabric is a plus. Experience with development of serverless compute services like Azure Functions is a plus. Computer Vision More ❯
with relevant industry standards, regulations, and data privacy laws. Conduct regular security assessments and audits to identify and mitigate potential risks. Collaboration and Leadership: Work closely with data scientists, machinelearning engineers, and other stakeholders to integrate AI models into production environments. Provide technical leadership and mentorship to junior team members. Stay up-to-date with the latest … or similar role. Strong expertise in designing and deploying cloud-based AI solutions using platforms such as AWS, Azure, or Google Cloud. In-depth knowledge of generative AI models, machinelearning frameworks, and AI deployment best practices. Experience with cloud infrastructure, including networking, storage, and security. Familiarity with industry standards and regulations related to data privacy and security. … . Familiarity with big data technologies and data engineering. Experience with machinelearning frameworks such as TensorFlow, PyTorch, or similar. Certification in cloud architecture or AI/ML is a plus. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of More ❯
tasks. By improving machinelearning technologies, AI Engineers enhance software capabilities and contribute to innovative solutions across various applications. Duties & Responsibilities Design, develop, and implement AI/ML algorithms and models to solve business challenges. Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications. Research and stay up-to-date with the latest … advancements in AI, machinelearning, and deep learning technologies. Develop data pipelines and preprocessing methods for model training and deployment. Monitor, evaluate, and improve the performance of AI models and systems. Conduct experiments to validate hypotheses and enhance AI system capabilities. Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments. … Create technical documentation for AI models and workflows. Required Skills & Qualifications Strong experience with machinelearning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data structures, algorithms, and statistics. Experience with cloud platforms More ❯
manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machinelearning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machinelearning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and … ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks and Databricks Unity Catalog. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯
dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of MachineLearning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built … LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building robust APIs to facilitate search … engineers, to integrate AI solutions into client facing products , enhance analytical capabilities and improve user experience. Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices. Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely More ❯
Job ID: AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of MachineLearning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities … capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously More ❯
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 MachineLearning (ML), with access to advanced training in ML Ops. Key Responsibilities: Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure). Source and verify data … 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 ❯
Senior AI Engineer IQVIA NLP Cambridge, UK We are looking for a Senior AI Engineer to lead the development of advanced machinelearning solutions that address complex challenges in the pharmaceutical and healthcare sectors. In this role, you will drive the transformation of cutting-edge research into scalable, production-grade AI systems. You'll work across the full … solutions that improve outcomes and accelerate innovation. Key Responsibilities Deploy fit-for-purpose models and design and implement AI algorithms for pharma and healthcare applications. Lead the transition of machinelearning research into viable prototypes and scalable production systems. Apply advanced techniques in natural language processing and machinelearning to enhance model performance. Validate and test … UK visa sponsorship. The Team IQVIA NLP is a leading provider of Natural Language Processing solutions focussed on Human Data Science. NLP is a foundational technique for AI and ML and a critical enabler for IQVIA's Connected Intelligence solutions and the delivery of clinical trials and studies. IQVIA NLP is an acknowledged leader in this space with a global More ❯
skilled and motivated AI Full Stack Developer with a strong foundation in cybersecurity operations and artificial intelligence technologies. The ideal candidate will have deep technical expertise in AI/ML, data science, and programming, alongside a solid understanding of cyber threat detection and defensive operations frameworks. You will be instrumental in designing and implementing full-stack AI-driven solutions to … enhance our cybersecurity capabilities. Key Responsibilities: · Design, develop, and deploy full-stack AI solutions with a focus on cybersecurity threat detection and response. · Apply AI/ML techniques such as NLP, supervised/unsupervised learning, and generative AI to real-world security data. · Integrate AI models into scalable applications using modern full-stack development tools and frameworks. · Collaborate with … years of experience in a cybersecurity operations or similar function. · Strong knowledge of cybersecurity principles, frameworks, and threat intelligence (e.g., MITRE ATT&CK). · Proficient in AI/ML technologies, including Natural Language Processing, Generative AI, and MachineLearning algorithms. · Experienced in full-stack development with proficiency in Python, C C#, or R. · Familiarity with AI libraries and More ❯
London, England, United Kingdom Hybrid / WFH Options
TRSS
Do you love creating innovative solutions for customers? We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and innovative capabilities that … technology stack. Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machinelearning algorithms. You will develop high performing scalable systems in the … Research Engineer role if your background includes: Essential skills & experience: A Bachelor's Degree in Computer Science or Related Field. Significant software engineering experience. Demonstrable experience working on a MachineLearning related product or solution. Have experience leading technical workstreams within a software engineering organization. Are skilled and have a deep understanding of Python software development stacks and More ❯
tools used within the company, manipulating and transforming the data as required. Looking out for new technology, techniques and tools that will enable us to develop statistical models and machinelearning algorithms more quickly and efficiently and sharing this internally and externally where appropriate. Troubleshooting when data issues arise, as the Data Solutions team provides business-critical information … England, United Kingdom 5 days ago Warrington, England, United Kingdom £50,000.00-£60,000.00 21 hours ago Manchester, England, United Kingdom 1 week ago Data Scientist - (Senior AI/ML Engineer) Manchester, England, United Kingdom 3 weeks ago Data Scientist (Predictive Analytics Specialist) Manchester, England, United Kingdom 4 days ago Manchester Area, United Kingdom 3 weeks ago Principal Software Engineer … Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 1 week ago Manchester Area, United Kingdom 3 weeks ago Stockport, England, United Kingdom 12 hours ago AI&ML Engineer (Artificial Intelligence & MachineLearning Engineer) Halifax, England, United Kingdom 3 days ago Winsford, England, United Kingdom 4 weeks ago Data Science and AI Delivery Lead for Commercial More ❯
Platform team, so that we can build and scale innovative data science solutions that power critical decisions across our organization. The Senior Data Scientist will lead the development of machinelearning models and intelligent data systems to support RLDatix’s mission of enabling safer, more efficient healthcare worldwide. How You’ll Spend Your Time Designing and developing machinelearning models, large language models, and algorithms to deliver meaningful insights from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machinelearning models and AI systems to maximize performance, scalability, and real-world accuracy. Explaining complex data science concepts in order … Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machinelearning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge More ❯
connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … Highly skilled in at least 2 categories from the above from implementing solutions in business processes and systems Daily use of git Experienced in deploying solutions such as ML models, API and dashboards Deploying data science solutions on a cloud platform; Azure ML and MSFT Certificate are highly desirable MLOps is highly desirable, e.g. CI/CD, Feature Store More ❯
talent and plan their workforce. We're building intelligent products powered by LLMs and agentic workflows that turn complex talent data into actionable insights and automation. Build and deploy ML systems that process and reason over complex, semi-structured text to enhance the end-to-end talent management experience for customers. Transform customer data into actionable insights through machine … into our product roadmap. Prototype quickly and creatively: experiment with new models, techniques, and data signals to assess feasibility and accelerate innovation. Work closely with software teams to integrate ML capabilities into production systems with reliability and scale. Design robust evaluation pipelines and datasets to rigorously test model performance and track real-world impact over time. WHO ARE WE LOOKING … GenAI products and ready to help shape what's next in workforce planning and talent intelligence. We'd love to hear from you if you have: Proven experience delivering ML projects across the full development lifecycle, from experimentation and evaluation to production deployment. Comfort with ambiguity, and the ability to shape early-stage product ideas in fast-evolving domains. Strong More ❯
billion pounds of textile waste , and 10% of global carbon emissions each year. Rather than adjusting sizing after the fact, we prevent bad fit from the star t. Using machinelearning and generative AI, we simulate and predict how garments will perform on real bodies, eliminating poor fit before a single item is made. It’s a shift … orchestration tools like Airbyte, AWS Step Functions, and GitHub Actions to ensure seamless deployment of dbt runs and freshness checks. Cross-Team Collaboration: Act as the bridge between product, ML, and analytics, ensuring their needs are met through scalable, transparent, and well-documented data models. Governance & Monitoring: Implement dbt tests, freshness checks, and observability practices to guarantee trust in downstream … analytics and ML applications for governance and audits. What You Bring: Experience : 5+ years in data engineering or backend development with a focus on implementing multi-tenant, data-heavy systems, ideally in a startup or fast-moving environment. Technical Stack : Languages/Tools: Python (REST API integrations), DBT, Airbyte, GitHub Actions Modern Data Warehousing: Snowflake, Redshift, Databricks, or BigQuery. Cloud More ❯
billion pounds of textile waste , and 10% of global carbon emissions each year. Rather than adjusting sizing after the fact, we prevent bad fit from the star t. Using machinelearning and generative AI, we simulate and predict how garments will perform on real bodies, eliminating poor fit before a single item is made. It’s a shift … orchestration tools like Airbyte, AWS Step Functions, and GitHub Actions to ensure seamless deployment of dbt runs and freshness checks. Cross-Team Collaboration: Act as the bridge between product, ML, and analytics, ensuring their needs are met through scalable, transparent, and well-documented data models. Governance & Monitoring: Implement dbt tests, freshness checks, and observability practices to guarantee trust in downstream … analytics and ML applications for governance and audits. What You Bring: Experience : 5+ years in data engineering or backend development with a focus on implementing multi-tenant, data-heavy systems, ideally in a startup or fast-moving environment. Technical Stack : Languages/Tools: Python (REST API integrations), DBT, Airbyte, GitHub Actions Modern Data Warehousing: Snowflake, Redshift, Databricks, or BigQuery. Cloud More ❯
Base pay range Direct message the job poster from FDM Group FDM is a global business and technology consultancy seeking a Senior Data Scientist with experience in AI and machinelearning to work for our client within the finance sector. This is initially a 12-month contract with the potential to extend and will be a hybrid role … focussing on developing data driven capabilities and insights to increase the breadth and depth of Operational Risk oversight. You will be responsible for developing and maintaining modern capabilities (e.g. MachineLearning Models, AI solutions, Analytical techniques) that leverage structured and unstructured data sources, to deliver enhanced risk insights to SMEs (e.g. pattern recognition, pockets of undetected risk, exception … Glasgow, Scotland, United Kingdom 6 hours ago Glasgow, Scotland, United Kingdom 6 hours ago Glasgow, Scotland, United Kingdom 6 hours ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Glasgow, Scotland, United Kingdom 3 months ago Glasgow, Scotland, United Kingdom 3 weeks ago Glasgow, Scotland, United Kingdom 2 days ago Glasgow, Scotland, United Kingdom 1 day ago Digital More ❯
shape and deliver cutting-edge AI solutions for our clients. If you’re someone who thrives on solving complex problems, loves staying ahead of the curve in AI/ML technologies, and enjoys mentoring others, this could be your next step. As our AI Manager/Lead, you’ll play a pivotal role in both strategy and delivery . You … presenting solutions with clarity and confidence. Overseeing projects from concept to completion—ensuring high-quality delivery, on time and within scope. Guiding the development and deployment of AI/ML models, integrating the latest tools and practices. Mentoring team members and nurturing a culture of innovation, learning, and collaboration. Ensuring all AI solutions meet ethical standards, data privacy requirements … Requirements for the role A Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. At least 5 years of experience in AI/ML, with 3+ years in a leadership or managerial role (consulting experience is a plus). Strong hands-on skills in Python and/or R . Experience working with cloud More ❯
shape and deliver cutting-edge AI solutions for our clients. If you're someone who thrives on solving complex problems, loves staying ahead of the curve in AI/ML technologies, and enjoys mentoring others, this could be your next step. As our AI Manager/Lead, you'll play a pivotal role in both strategy and delivery . You … presenting solutions with clarity and confidence. Overseeing projects from concept to completion-ensuring high-quality delivery, on time and within scope. Guiding the development and deployment of AI/ML models, integrating the latest tools and practices. Mentoring team members and nurturing a culture of innovation, learning, and collaboration. Ensuring all AI solutions meet ethical standards, data privacy requirements … Requirements for the role A Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. At least 5 years of experience in AI/ML, with 3+ years in a leadership or managerial role (consulting experience is a plus). Strong hands-on skills in Python and/or R . Experience working with cloud More ❯
In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machinelearning, and research is a big plus. Your goal will help our company analyze trends to make better decisions. Your Responsibilities Within IBKR: Design, develop, and implement data … years of experience as a Data Scientist or Data Analyst. Experience in data mining. Understanding of machinelearning and operations research. Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus. Experience using ELK Stack (Elasticsearch, Logstash, Kibana). Experience using business intelligence tools (e.g., Tableau) and data frameworks … e.g., Hadoop). Experience with AI/ML-based solutions for data analysis is a big plus. Analytical mind and business acumen. Strong math skills (e.g., statistics, algebra). To Be Successful in This Position, You Will Have the Following: Self-motivated and able to handle tasks with minimal supervision. Superb analytical and problem-solving skills. Excellent collaboration and communication More ❯
You'll lead analytical initiatives, driving experimentation and optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machinelearning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue … in Leeds, England, United Kingdom . Bradford, England, United Kingdom 6 days ago Leeds, England, United Kingdom 2 weeks ago Leeds, England, United Kingdom 6 days ago KTP Associate - MachineLearning Engineer Leeds, England, United Kingdom 5 days ago Leeds, England, United Kingdom 1 week ago Senior MachineLearning Scientist (UK Remote) Leeds, England, United Kingdom … ago Contract Software Engineer (Python, React, AWS) Leeds, England, United Kingdom 6 days ago Research Scientist (Physics) - AI Trainer Leeds, England, United Kingdom 3 days ago Research Fellow in ML System Design for Large AI Models Leeds, England, United Kingdom 3 weeks ago Leeds, England, United Kingdom 1 month ago We’re unlocking community knowledge in a new way. Experts More ❯
connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … Highly skilled in at least 2 categories from the above from implementing solutions in business processes and systems Daily use of git Experienced in deploying solutions such as ML models, API and dashboards Deploying data science solutions on a cloud platform; Azure ML and MSFT Certificate are highly desirable MLOps is highly desirable, e.g. CI/CD, Feature Store More ❯
tools used within the company, manipulating and transforming the data as required. Looking out for new technology, techniques and tools that will enable us to develop statistical models and machinelearning algorithms more quickly and efficiently and sharing this internally and externally where appropriate. Troubleshooting when data issues arise, as the Data Solutions team provides business-critical information … of big data technologies: Hadoop, Spark (plus) Good knowledge of statistics: hypothesis testing, confidence intervals and A/B tests Ability to demonstrate good understanding of statistical models/machinelearning algorithms Why Join Us? Be part of a dynamic team that is driving innovation in the automotive industry. Opportunities to work on cutting-edge projects and technologies … Leeds, England, United Kingdom 1 week ago Leeds, England, United Kingdom 1 week ago Lead Software Engineer - 95% Remote - £85k - ID41216 Leeds, England, United Kingdom 4 days ago AI&ML Engineer (Artificial Intelligence & MachineLearning Engineer) Halifax, England, United Kingdom 3 days ago Research Scientist (Biology) - AI Trainer Research Scientist (Biology) - AI Trainer Software Developer (Python skills required More ❯
about working at the forefront of applied research in an industry setting? Thomson Reuters Labs is seeking scientists with a passion for solving problems using state-of-the-art machinelearning, natural language processing and generative AI. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied … with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements. Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining. Support and coach junior scientist by providing advice, mentoring, and training. Be an NLP expert About You: You're a fit … Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 5+ years of hands-on experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks More ❯
on the lookout for a Senior Data Scientist to join our team to further improve our proprietary algorithms, as well as to innovate the product with latest advances in ML/AI. The role will report to VP Data Science and be part of a small (but growing!) team of Data Scientists. The ideal candidate will have a background in … optimisation (algorithms, or related ML disciplines), strong statistical knowledge and hands-on cloud technology experience. As our algorithms are all proprietary and built on in-house team, the candidate needs to be truly, technically competent, to be able to quickly learn a complex system, customise source code, add in new features and code from scratch. Whilst model deployment/software … model behaviours, predictions, and insights in a manner accessible to both technical and non-technical audiences Stay abreast of academic research and industry advancements in optimisation, plus AI/ML in general. Knowledge-share and support the wider team and Data Science community to drive innovations based on your work Essential qualifications: Bachelor's or master's degree in Data More ❯