576 to 600 of 1,433 Machine Learning Jobs in the UK excluding London

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 ❯

databases and geospatial data formats. Problem-Solving: Strong problem-solving skills and attention to detail. Teamwork: Excellent communication and collaboration abilities. Cloud Solutions: Experience with cloud-based GIS solutions. Machine Learning: Knowledge of machine learning applications for geospatial data. DevOps: Familiarity with DevOps practices and CI/CD pipeline What we have to offer you: Attractive 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 ❯

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 ❯

Senior Machine Learning Engineer - Tech for Good This company is making waves in it's industry. Born from a mission to drive real change, this company has already formed prestigious partnerships, and they're only getting started. This is an exciting opportunity to join a small, collaborative team, working closely with technical leadership to help shape the product … and develop impactful AI solutions. As the Senior Machine Learning Engineer, you'll be responsible for scoping, designing, and developing machine learning systems, implementing suitable ML algorithms, and staying current with emerging trends and technologies in the field. You'll ideally have the following skills and experience: Expertise in prompt engineering and fine-tuning large language … models Experience with retrieval-augmented generation Strong background in dataset creation, model training, and development; broader ML knowledge (e.g. network design and optimisation) is a bonus Strong python skills Experience with Docker and CI/CD pipelines Experience developing RESTful APIs Familiarity with automated testing frameworks such as pytest. Experience with cloud platforms) for model training and deployment. The salary More ❯

Product Managers working closely with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics, and Data Governance. What you'll do Define the Product Strategy for Data Platforms, including Machine Learning & AI, Data Analytics, Data Production, and Governance, and create a product roadmap. Invest in solutions and platforms that enhance data, modeling, reporting, and analytical capabilities. Support and … build consensus with senior stakeholders, keeping them informed. Use data to drive continual growth and process improvements. What we're looking for Experience in translating business opportunities into Data, Machine Learning, and AI products in digital or tech sectors. User-focused mindset with strong commercial skills for ROI optimization. Proven thought leadership and delivery of complex products or 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 ❯

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 ❯

Requirements A passionate problem solver focused on customer needs with a Product Management and/or Product Owner experience Domain knowledge in fraud prevention, statistical modelling or AI/machine learning is essential Ability to understand and analyse complex data in association with machine learning and AI algorithms Committed to delivering high quality to the users More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within a new function focused on AI and ML. Benefits Along … Pension Scheme Opportunities for career development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large-scale projects. What you'll … bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such as SQL Server, NoSQL, etc. Experience with ETL processes, data pipelines, and DevOps practices This More ❯

and get things done You will: Help create and maintain a lightning-fast, resilient, scalable build system that templates, renders and compiles many languages for many targets - and feeds machine learning algorithms with data about its operation. Ruthlessly optimise, refactor, and deprecate existing production tools, flows, scripts Integrate and optimise use of external-vendor EDA tools & suites Improve … eg. simulation, linting, synthesis) Systemverilog, C/C++, Simulator DPI/VPI Containerization (eg. Docker) Distributed Compute, Orchestration Jenkins Automation Software templating, rendering Data Engineering/Data Science/Machine Learning Who we are Imagination is a UK-based company that creates silicon and software IP designed to give its customers an edge in competitive global technology markets. More ❯

you: Key skills: A good understanding of programming within one or both of the standard game engines (Unity and/or Unreal) using C# and C++ respectively, Python for machine learning, and experience with VR application development. Essential skills and experience: A PhD in computer science, software engineering or a similar technical field, or equivalent professional experience Experience … or C++ and Python Proficiency with Autodesk Maya modelling skinning and rigging Hands-on experience developing Metaverse/VR applications using Unity and/or Unreal Engine Experience with machine learning and AI Experience with writing and co-writing research papers Experience with image and/or audio based projects Experience with real-time system optimisation (e.g. low More ❯

Java and SQL. Experience in Oracle, Hibernate, Spring, MongoDB, Quarkus, or React will be an advantage but not a must. Preferably also know Mobile Programming, Cloud computing, AI and Machine Learning, Accounting and Financial knowledge. Must be a team player with good communication and interpersonal skills. Fluent in English. Good Reasons to Join Your work will have a … UK and worldwide. We want you to feel comfortable in your working surroundings. Therefore, we are offering you flexible working hours and mobile working arrangements. We value teamwork, continuous learning, and diversity. Kuehne + Nagel is offering you a custom-made career - through individual planning and supervisors who support and advise you in every way. You get supported by More ❯

at the single-cell level-making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches. You'll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets, mechanistic simulations, and predictive AI models. Your work will … with omics data analysis and integration - Hands-on expertise in developing and fitting executable models - Strong communication and teamwork skills You may also have - Network inference and analysis experienc - Machine learning experience - Track record of completed research projects (e.g., publications, tools) Benefits and Contract Information - Financial incentives: depending on circumstances, monthly family/marriage allowance of £272, monthly More ❯

the market right now. They have just implemented Gen AI within their organisation and are looking to utilise the newest technologies on the market. Key Responsibilities: Design and implement machine learning models for both supervised (e.g., classification, regression) and unsupervised learning tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and More ❯

turning data into clinically valuable insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through to post-marketing surveillance. We are … committed to invest in continuously enhancing our validated and peer reviewed disease optimised machine learning Ai analytics services and our infrastructure and technology to support our ambitious growth strategy. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability More ❯

lead analysis of complex data sets to uncover insights that drive strategic recommendations for AI roadmaps, operating models and technology decisions Manage diverse teams spanning data engineers, AI/ML experts, business analysts and client personnel to deliver AI solutions within scope, timeline and budget Build meaningful relationships with key client stakeholders and executive sponsors to manage expectations and gain … team members to help them grow consulting, AI and leadership capabilities Proactively identify and mitigate risks associated with AI solution development and implementation Cultivate a culture of innovation, continuous learning and knowledge sharing within AI consulting teams Qualifications: 10+ years of management/strategy consulting experience … including 2-3 years as a Partner or equivalent role Bachelor's degree required from top rated university; graduate degree or MBA preferred Required Skills: Expertise in AI/ML technologies, data engineering, cloud architecture, and software development life cycles Demonstrated ability to structure and solve ambiguous, data-driven business problems Strong communication and executive presentation skills with ability to More ❯