676 to 700 of 1,556 Machine Learning Jobs in the UK excluding London

significant experience in iOS and Android. While our software is largely mobile based, you'll also be able to lead members of your team specialising in Python, AWS and Machine Learning. You'll be responsible for leading and managing a multidisciplinary engineering team, with a tech stack spanning (in order of importance) to the role: Mobile development (iOS & Android … Advanced algorithm development (Python) Cloud platforms (AWS) Machine Learning Web App (ASP.Net, JavaScript on Azure) Desktop App (Python) This senior leadership position requires someone who is still able and willing to be hands on with the code. As a small but rapidly growing team of 15, we're looking for a talented engineering leader, not a hands off … performing applications and platforms. Foster a culture of innovation, collaboration, and continuous improvement within the engineering team. Team Management Manage, mentor, and inspire a team that includes mobile engineers, machine learning specialists, mathematicians and physicists. Support talent acquisition, retention, and development to ensure a high-performing team. Technical Oversight Provide hands-on technical guidance for complex software development More ❯

remaining hands-on and detail-oriented. The role involves collaborating with senior business stakeholders and data teams to promote and evolve working methods, building advanced and measurable analytics and machine learning solutions that deliver tangible business value. As our Data Science Manager , you'll benefit from a range of perks including: Hybrid working (3 days in the office … What you'll be doing: With proven experience managing Data Science teams and taking projects from concept to production, you'll motivate teams to deliver high-quality Data Science, Machine Learning, and AI solutions aligned with the Roadmap. Your responsibilities include: Developing a deep understanding of the business areas your teams operate in and owning the proposed solution … data visualization in tools like Tableau. Snowflake experience is desirable. Leadership experience in monitoring and developing data scientists. An understanding of data governance and quality assessment. Commitment to continuous learning and staying updated with new technologies and techniques. A methodical approach with attention to detail. Effective communication skills and ability to work across international teams and cultures. More ❯

for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. Sr. SOFTWARE DEVELOPMENT ENGINEER THE ROLE: AI Software development engineer on teams building and optimizing Deep Learning applications and AI frameworks for AMD GPU compute platforms. Work as part of an AMD development team and open-source community to analyze, develop, test and deploy improvements to … make AMD the best platform for machine learning applications. THE PERSON: Strong technical and analytical skills in C++ development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize … for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance. Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. Collaborate with More ❯

first environment. Problem solving: Bring initiative and pragmatism to challenges in logistics, scheduling, operations, and data visibility. Platform evolution: Contribute to the roadmap as the platform grows into AI, machine learning, and advanced data services. Requirements: Proven experience in modern frontend or full-stack development (React, Flutter, Django, Python). Ability to take ideas from scratch through to … that matters. It’s A Bonus If You Have: Experience working with logistics, operations, or infrastructure platforms. Familiarity with cloud-native tooling and DevOps practices. Interest in data science, machine learning, or operational analytics. More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics/computer science … background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Technical knowledge i.e. Python, R, SQL, C++ etc. Exceptional Microsoft Excel skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment More ❯

and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical More ❯

and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical More ❯

how data is managed and deliver to customers. Why this role? Major voice in shaping how we build and scale our data products Involved in automation, pipeline design, and machine learning projects High-impact role in a small, agile team with real ownership You’ll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc. … and recommendations to enhance the business and how they manage their data Desirable : Degree in mathematics, statistics, or computer science Experience with DevOps tools (Docker, Kubernetes, etc.) Exposure to machine learning concepts What you'll get: Salary up to £55k Flexible hybrid model – only 1 day per quarter in the office, Lincolnshire Permanent opportunity We are an equal More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics background with knowledge … of numerous machine learning models Experience with data visualisation tools Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science, Mathematics More ❯

build robust data-driven solutions to support our company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build … with Excellent T-SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension More ❯

challenges and enable brands to go direct-to-consumer. Our client portfolio features globally recognized brands such as Coca-Cola, Nestlé, Elemis, Homebase, and Procter & Gamble. Role Overview The ML Manager (Operations) leads multiple squads covering Fraud, Customer Experience (CX), and Logistics. You will oversee a cross-functional team focused on leveraging machine learning to enhance business operations … mentor, and manage a team of machine learning professionals. Define and execute the machine learning strategy aligned with business goals. Oversee the entire lifecycle of ML projects from conception to deployment and monitoring. Guide the team in building, training, and deploying models. Ensure best practices in data preparation, feature engineering, and model validation. Establish workflows for … deployment, monitoring, and scaling of models. Qualifications Proven experience as a Machine Learning Engineer, with leadership experience in deploying models in production. Experience with classical ML algorithms (e.g., Logistic Regression, Random Forest, XGBoost), NLP, Transfer Learning, Deep Learning (e.g., BERT, Llama, LLMs). Expertise in end-to-end ML development and applications involving LLMs and frameworks More ❯

is already delivering measurable commercial value, and together, we're scaling that impact even further. Your mission To partner with customers across various sectors, leveraging the latest advancements in machine learning, data science, and AI to solve real-world commercial challenges. You'll play a key role in transforming how customers operate by applying cutting-edge research and … of stakeholders, from academic experts to on-site customer teams, handling diverse situations with independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to both … making by translating data into business value. Continuously seek opportunities to expand your role and impact as UiPath grows. What you'll bring to the team Enthusiastic expertise in machine learning, data science, AI, and a passion for innovative applications. Strong programming skills or the ability to quickly learn new technologies, with experience in R, Python, or similar More ❯

business growth through data-driven insights and leveraging AI solutions. This role is ideal for a strategic technical leader who combines deep technical expertise in data science, analytics, and machine learning with proven commercial experience and business development capabilities. The ideal candidate will drive revenue growth across our target markets, identifying new opportunities, expanding client relationships, and delivering … L responsibility, and driving commercial growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement: Proven experience More ❯

delivery of innovative data and AI solutions across multiple client engagements. Act as a trusted advisor to C-level stakeholders, providing strategic direction on emerging technologies such as IoT, machine learning, event-driven architectures, and cognitive services. Design scalable, resilient systems using modern cloud platforms (AWS, Azure, or GCP), leveraging IaaS, PaaS, and SaaS solutions. Provide technical assurance … and mentorship to agile delivery teams, ensuring architectural coherence and successful delivery. Guide other architects and engineers in their professional growth, managing capability development and fostering a culture of learning and inclusion. Champion best practices in cloud data platforms, data integration (e.g., messaging, queuing, CDC), and non-functional design principles. Collaborate closely with clients to understand business goals, ensuring … companys presence in the data and AI space. What Youll Bring A broad understanding of modern and emerging data/AI technologies across architecture patterns, data platforms, analytics, and machine learning. Demonstrated experience designing, building, and deploying enterprise-scale, data-intensive applicationspreferably across distributed systems. Proven ability to lead architecture for cloud-native solutions, using at least one major More ❯

Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture … experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office/3 days home) 25 days annual leave + bank holidays (increasing More ❯

Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture … experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office/3 days home) 25 days annual leave + bank holidays (increasing More ❯

research capabilities. You'll be part of a dynamic team within our Core Research Facilities, working at the forefront of digital research infrastructure to support everything from AI and machine learning to high-performance computing applications. About us: The University of Bath ranks 6th in Guardian University Guide 2021. Our campus is surrounded by beautiful countryside, and the … You'll have experience leading complex technical projects and mentoring other programmers, with a commitment to promoting good software development practices across research communities. Experience in areas such as machine learning, data analysis with large datasets, high-performance computing, and digital architecture optimisation would be particularly valuable. Additional information Market supplement of £7k is applicable for this role. … allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more Afamily-friendly workplace An excellent reward package that recognises the talents of our diverse workforce More ❯

images and text sources. The ideal candidate will have a strong background in machine learning, particularly within intelligent document processing, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand … requirements and deliver tailored solutions. Collaborate with product managers and technical teams throughout the development lifecycle. Design, test, and iterate on new and existing ML features and components. Develop robust Python-based systems using a combination of ML/OCR tools and frameworks. Support the full lifecycle of ML applications, from development through deployment, monitoring, and maintenance. Required Experience: Proven … experience in Document AI/Intelligent Document Processing, using both traditional ML methods and Generative AI, preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex, or similar. Strong awareness of More ❯

images and text sources. The ideal candidate will have a strong background in machine learning, particularly within intelligent document processing, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand … requirements and deliver tailored solutions. Collaborate with product managers and technical teams throughout the development lifecycle. Design, test, and iterate on new and existing ML features and components. Develop robust Python-based systems using a combination of ML/OCR tools and frameworks. Support the full lifecycle of ML applications, from development through deployment, monitoring, and maintenance. Required Experience: Proven … experience in Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of More ❯

Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture … experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office/3 days home) 25 days annual leave + bank holidays (increasing More ❯

Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture … experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office/3 days home) 25 days annual leave + bank holidays (increasing More ❯

help our customers connect data, software, and purpose to create extraordinary outcomes. We are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients across various industries such as smart home devices, space exploration, beer manufacturing, finance … complex technical and statistical ideas to non-specialists Preferred Qualifications Experience in biostatistics and clinical programming Familiarity with Cloud infrastructure and services (e.g., Azure) Background in data science, including machine learning and Shiny app development Working at Ascent We promote a healthy work-life balance with flexible work arrangements. We support well-being through access to Well Being More ❯

available/high-load web infrastructure e.g. web proxies, reverse proxies ▪ Technical knowledge and breadth of Azure technology services (Identity, Networking, Compute, Storage, Web, Mobile, Containers, Databases, Analytics, AI & Machine learning) ▪ Have excellent written, verbal and presentation skills ▪ Demonstrable risk management knowledge ▪ Keen problem solving skills (Analytical and Creative) ▪Tier 1 Banking Experience ideal, or banking/finance More ❯

of commercial experience in a relevant industry Strong programming skills in Python, C++, and JavaScript Experience in one or more of the following areas: Image Processing Computer Vision Robotics Machine Learning Software Deployment A commitment to writing high-quality, maintainable code A passion for continual learning and professional development The Package Salary: £40,000 – £65,000 (depending More ❯

s insider community and leading on industry discussions. This role offers the opportunity to Design and build industry leading insider tools to help detect potential events Embed AI and Machine learning into our detection and response capability Explore and evaluate other vendor solutions to improve our overall insider tool set Identify and implement opportunities for process improvements, using … Technologies (Docker, Kubernetes) and experience with cloud platforms such as GCP And any experience of this would be really useful: Understanding of the benefits and risks of AI and machine learning and appropriate control designs GIT source code management and running concurrent change on a large code base Familiarity with insider threat management frameworks and standard methodologies About More ❯