551 to 575 of 10,268 Machine Learning Jobs in the UK

data community! You will work in a team of Data & AI Engineers, Data Scientists, Developers, Analysts and Architects and work on the design and build out of cutting-edge machine learning and AI services, supporting analytics and product iteration across our business. What you’ll do: Build and support esure’s data products within their industry leading platform. … processes and roll these out across our team and wider data community Work with architects on best design for data products, evaluating and experimenting with new data tools & supporting ML & AI infrastructure and workflows. Qualifications What we’d love you to bring: A passion for designing and building a robust data platform Great interpersonal skills and collaborative mindset Strong hands More ❯

data community! You will work in a team of Data & AI Engineers, Data Scientists, Developers, Analysts and Architects and work on the design and build out of cutting-edge machine learning and AI services, supporting analytics and product iteration across our business. What you’ll do: Build and support esure’s data products within their industry leading platform. … processes and roll these out across our team and wider data community Work with architects on best design for data products, evaluating and experimenting with new data tools & supporting ML & AI infrastructure and workflows. Qualifications What we’d love you to bring: A passion for designing and building a robust data platform Great interpersonal skills and collaborative mindset Strong hands More ❯

near real-time data processing. Knowledge of data governance, compliance, and security best practices . Prior experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make More ❯

and fulfill your career potential! The Opportunity "As an AI Pre-Sales Scientist you’ll be responsible for communicating to clients on FICO’s AI/Gen AI and machine learning/analytic methods and latest innovations to drive sales efforts for FICO’s solutions that manage risk, fight financial crime, build profitable customer relationships, and meet regulatory … requirements. As an AI/Gen AI and machine learning/analytic domain expert, you will engage customers at mid-level management and technical levels to ensure strong knowledge of FICO’s product differentiation and unique intellectual property (IP). Also, you will support direct sales in the communication of FICO’s differentiation of FICO’s AI/… AI. You will be accountable for driving strong customer engagement and understanding of FICO’s AI/Gen AI product offerings, understanding customer needs and relating those needs to machine learning/analytic methods utilized in FICO’s AI/Gen AI products. You will also bring new requirements back to the product development team for consideration as More ❯

a Data Scientist within Davies UK & I IT, you will be responsible for extracting meaningful insights from complex datasets to support strategic decision-making. You will leverage advanced analytics, machine learning techniques, Large Language Models (LLMs), Generative AI and Python programming to build scalable data-driven solutions. Key Responsibilities Develop and implement machine learning models, including … Communicate complex data findings in a clear, concise manner to stakeholders. Stay up to date with emerging AI trends and their applications in the insurance industry. Recommend statistical/machine learning tools and technologies to prototype new concepts. Retrieval and collection of open and closed data sources, including data processing, cleansing and verification. Where applicable, work with developers … to integrate specialist third party applications. Be the subject matter expert for machine learning techniques, aiding the development of solutions for real world problems. Mentor and coach less experienced colleagues. Skills, Knowledge and Expertise •Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, Large Language Models (LLMs) and their practical applications. More ❯

data solution including understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation … in both independently and in small teams as required by the task. Familiarity with version control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights … Leeds, England, United Kingdom 1 week ago Lead Software Engineer - 95% Remote - £85k - ID41216 Leeds, England, United Kingdom 3 days ago Leeds, England, United Kingdom 4 days ago Senior Machine Learning Scientist (UK Remote) Leeds, England, United Kingdom 6 days ago Software Developer (Python skills required) Leeds, England, United Kingdom 2 days ago Full Sutton, England, United Kingdom More ❯

a Data Scientist within Davies UK & I IT, you will be responsible for extracting meaningful insights from complex datasets to support strategic decision-making. You will leverage advanced analytics, machine learning techniques, Large Language Models (LLMs), Generative AI and Python programming to build scalable data-driven solutions. Key Responsibilities Develop and implement machine learning models, including … Communicate complex data findings in a clear, concise manner to stakeholders. Stay up to date with emerging AI trends and their applications in the insurance industry. Recommend statistical/machine learning tools and technologies to prototype new concepts. Retrieval and collection of open and closed data sources, including data processing, cleansing and verification. Where applicable, work with developers … to integrate specialist third party applications. Be the subject matter expert for machine learning techniques, aiding the development of solutions for real world problems. Mentor and coach less experienced colleagues. Skills, Knowledge and Expertise ·Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, Large Language Models (LLMs) and their practical applications. More ❯

Group In the Central Product Group, we foster a collaborative approach to strategy and marketing to serve our customers. Our culture and approach is anchored in iterative and innovative learning and delivery, that puts the customer at the center of everything we do. We’re here to identify new market opportunities, create a company-wide marketing strategy, and drive … Responsibilities: In this role, you will be responsible for developing and maintaining the backend systems that power our generative AI models and services. You will work closely with our machine learning engineers, data scientists, and product teams to build highly scalable, efficient, and reliable systems that enable our generative AI models to be deployed and served in production … infrastructure to handle high-volume traffic and ensure low-latency model inference. • Implement caching, load balancing, and other performance optimization techniques to improve system responsiveness and efficiency. • Collaborate with machine learning engineers and data scientists to integrate use cases into the backend systems. • Develop and maintain monitoring, logging, and alerting systems to ensure the smooth operation of the More ❯

utilizing LLM models to enhance patent search and analytics applications. Stay up to date with the latest research and developments in the field of natural language processing (NLP) and machine learning. Work on GenAI techniques like Prompt Engineering , RAG (Retrieval-Augmented Generation) and perform evaluation using frameworks to optimise LLM performance. Develop and implement machine learning workflows … techniques and various evaluation methodologies for integrating GenAI with search/retrieval systems and measure the quality . Experience working with cloud platforms like Azure , AWS , or GCP for machine learning workflows. Understanding of data engineering pipelines and distributed data processing (e.g., Databricks, Apache Spark ). Strong analytical skills, with the ability to transform raw data into meaningful … children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work #J-18808-Ljbffr More ❯

and delivering exciting projects with a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data engineers, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our strongest asset, you will be … aligned with our ways of working Requirements Key Responsibilities: Lead end-to-end data science projects, from ideation and data exploration to model development and deployment. Build and optimise machine learning models for prediction, classification, recommendation, or segmentation. Collaborate with data engineers, product managers, analysts, and business stakeholders to translate complex problems into analytical solutions. Drive experimentation through … senior leadership. Mentor junior data scientists and contribute to the growth of the data science function. Stay current with emerging tools, technologies, and best practices in data science and machine learning Assist with defining the processes needed to achieve operational excellence Ensure data quality across all projects/clients Define and manage SLA's for data sets and More ❯

are responsible for building features and designing and implementing new endpoints. This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning NLP technology . Our tech … areas of the company to gather the insights needed for well-rounded solutions. Contribute to the development of the next generation of our Cognitive Skill Builder, collaborating with the Machine Learning team to integrate advanced AI features. Work with the Machine Learning and Data Science teams to bring the latest AutoNLU innovations directly to Studio, empowering More ❯

to explain what you do to your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across multiple industries and functions. … on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications … risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Advocate for the adoption of cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration. Design reusable assets, solutions, and develop best practices for current and future business problems. Consult on complex analyses and advanced machine More ❯

You’ll Be Doing Leadership and Coaching: Manage, nurture, and develop a team of AI Data Scientists. Innovation and Creativity: Explore new ideas, take calculated risks, and foster continuous learning and refinement. Commercial Acumen: Approach problem-solving with a business perspective, demonstrating agility and adaptability. Collaborative Spirit: Work effectively in team settings, energizing cross-functional collaborations using strong interpersonal … have strong expertise in Python, including libraries such as TensorFlow, PyTorch, and Hugging Face Transformers, with a solid understanding of LLM architectures. You should be well-versed in various machine learning techniques, including supervised, unsupervised, and semi-supervised learning, as well as neural networks, support vector machines (SVM), tree-based methods, and deep learning algorithms. Knowledge … tuning, and selecting appropriate models for specific tasks is highly desirable. You will also be responsible for data gathering, cleaning, preprocessing, feature engineering, and developing, training, evaluating, and optimizing machine learning models to achieve high performance. Application Details If this sounds like you, please get in touch! The closing date for applications is 29.05.2025 . Location Flexible/ More ❯

Hybrid Working Opportunity TELECOMMUTE APPLY HERE: Data Scientist About The Role This is an exciting opportunity is to join our Global AI & Data Science team. AI, Data Science and Machine learning is a critical part of our strategy as, and we are investing to build best in class data science capabilities so our AI solutions deliver impact and … science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption. Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms Proficient in Python Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP … data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.) Experience with Git, Databricks and Microsoft Azure technical stack Prior exposure to Agile methodologies Experience building large scale machine learning systems Master's Degree in Computer Science, Data Science, Mathematics, Physics or equivalent Care to join us. Find out what life at Haleon is really like www.haleon.com More ❯

external technology vendors. Strong Story Telling skills - excellent communication, with senior management exposure. Deep understanding of business drivers/processes and ability to relate segment priorities to associated technology. Learning agility and desire to learn new technology. Strong problem analysis, negotiating and influencing skills. Proven track record to get things done in a matrixed organisation and influencing without authority. … end-to-end data platforms - covering Demand, Supply, R&D, and Commercial. Develop and deliver communication and education plans on analytics data engineering capabilities, standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial … 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 More ❯

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect— it’s hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the … or Master's degree in Computer Science, Physics, Maths, or a related field or equivalent industry experience. 3-5 years of professional experience in a production python cloud application, machine learning engineering, or a related role, with exposure to deploying machine learning models into production. Demonstrably strong Python skills with experience in distributed systems. Strong knowledge … the software development lifecycle (code review, version control, tooling, testing, etc.). Understanding of the full stack would be ideal (REST backends and SPA frontends). About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal More ❯

external technology vendors. Strong Story Telling skills - excellent communication, with senior management exposure. Deep understanding of business drivers/processes and ability to relate segment priorities to associated technology. Learning agility and desire to learn new technology. Strong problem analysis, negotiating and influencing skills. Proven track record to get things done in a matrixed organisation and influencing without authority. … end-to-end data platforms – covering Demand, Supply, R&D, and Commercial. Develop and deliver communication and education plans on analytics data engineering capabilities, standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial … 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. #TBDDT Mars is an equal More ❯

Company description: At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable … Spark and PySpark. Implement data partitioning, caching, and performance tuning techniques to enhance Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning initiatives. Workflow Orchestration (Airflow): Design and maintain DAGs (Directed Acyclic Graphs) in Apache Airflow to automate complex data workflows. Monitor, troubleshoot, and optimize job execution and dependencies … development environments. A track record of working effectively global remote teams Desirable: Experience with data modelling and data warehousing concepts. Familiarity with data visualization tools and techniques. Knowledge of machine learning algorithms and frameworks. What we offer: As well as the technical skills, experience and attributes that are required for the role, our shared behaviours sit at the More ❯

insights and actions. Communicating technical content appropriately both internally and to customers. Building maintainable code using existing or novel data science techniques. Designing, evaluating, and implementing data science and machine learning techniques. Developing scalable models and algorithms for deployment in production environments. Applying ethical principles in handling data. Delivering high-quality work to agreed timelines and taking the … pitches and presentations. Contributing to the company strategy and helping to shape the future. Job Requirements: DV Cleared (2023, 2024, 2025) or holding DV Clearance. Experience in data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and More ❯

the full capabilities of AI and accelerated computing. NVIDIA's Solution Architects are esteemed developers and scientists who excel in leveraging the latest AI and accelerated computing technologies. Our machine learning, deep learning, and high-performance computing platform has profoundly influenced the healthcare sector, with wide adoption from leading medical device manufacturers, academic medical centres, pharmaceutical companies … Strong foundational expertise: MS, PhD or equivalent experience in Computer Science, Mathematics, Biomedical Engineering, Electrical Engineering, or closely related fields. 5+ years of work-related experience in software development, machine learning, deep learning or high-performance computing. In-depth knowledge and practical experience with contemporary Deep Learning software architecture and frameworks, in particular regarding image and … of new technology and products into very complex projects. Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain. Ways To Stand Out From The Crowd Domain expertise and proven hands – on experience applying accelerated computing and AI in one More ❯

Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events. Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects. Requirements Qualifications/Experience/Technical Skills Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development. Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects. 06-10 years of pre-sales experience in a SaaS/iPaaS organization. Familiarity with LLMs and has directly interacted with the development or support of More ❯

solutions, business intelligence reports and advanced models to drive key business decisions and strategies. The role requires a strong technical understanding of data platforms, visualisation tools, statistical methods and machine learning techniques. You’ll need to be adaptable, flexible and resourceful in delivering a challenging roadmap whilst our data landscape is transforming. This is a crucial appointment and … pipelines and workflows for data collection, analysis and reporting. Data analysis Analyse data trends, patterns and anomalies using statistical techniques to derive meaningful insights. Model development and evaluation Utilise machine learning, NLP, Generative AI, and other advanced statistical methods to build predictive and descriptive models. Validate and refine models to ensure accuracy and reliability. Reporting A proven track … and local legislation) and that best practices are applied. Essential technical skills Proficient in SQL and Python. An ability to analyse complex datasets and extract actionable insights. Experience with machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). Skilled in building credible statistical models. Knowledge of various learning algorithms (supervised, unsupervised, reinforcement). More ❯

is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS Strong experience in building large scale machine learning or deep learning models and in Generative AI model development. Experience in data and machine learning engineering and cloud native technologies. Strong experience communicating … elb, rds, route53 & s3). Experience with software development life cycle (sdlc) and agile/iterative methodologies. Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯

bring your ideas to life, support and mentor others, and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists … for analytics and reporting needs. Contribute to continuous improvements in our data science practices, testing frameworks, and deployment processes. Mentor and support more junior colleagues, fostering a culture of learning and knowledge sharing. Scope out requirements and deliverables in an agile way, ensuring successful integration of outputs into business processes. Essential Skills and Experience 2–5 years of experience … Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with Databricks Asset Bundles (DAB More ❯

that support our AI-powered products, all whilst meeting launch deadlines. - Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. - Write clean, efficient, and maintainable code while following best practices and coding standards. - Contribute to the deployment and integration of back-end services, ensuring that they … Requirements: - Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. - Understanding of security best practices for back-end development. - Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. - Strong communication skills and the ability to work effectively within cross-functional teams. Benefits More ❯