551 to 575 of 4,267 Machine Learning Jobs in the UK excluding London

across a range of industries including Retail, Travel, Financial Services, Telecommunications and Technology. Typical projects include data science for performance improvement, customer engagement and pricing effectiveness, network optimisation, and machine learning to drive improved operations, including supply chain and procurement. I’m seeking Lead Data Science experts who not only bring experience from classic management consultancy, but also … solving business problems, using advanced data and AI solutions. You will form an integral part of this growing team collaborating closely with other cross-functional teams to deliver innovative machine learning and AI solutions. You will flex strong problem-solving skills leveraging data science skills, directly with clients’ senior leadership teams looking to achieve results FAST, therefore you … in, and comfortable with, delivering the most impactful solution (even if not perfect) in short sprints. Skills & experience required: Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting More ❯

across a range of industries including Retail, Travel, Financial Services, Telecommunications and Technology. Typical projects include data science for performance improvement, customer engagement and pricing effectiveness, network optimisation, and machine learning to drive improved operations, including supply chain and procurement. I’m seeking Lead Data Science experts who not only bring experience from classic management consultancy, but also … solving business problems, using advanced data and AI solutions. You will form an integral part of this growing team collaborating closely with other cross-functional teams to deliver innovative machine learning and AI solutions. You will flex strong problem-solving skills leveraging data science skills, directly with clients’ senior leadership teams looking to achieve results FAST, therefore you … in, and comfortable with, delivering the most impactful solution (even if not perfect) in short sprints. Skills & experience required: Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting More ❯

top-tier investors, they're building intelligent, data-driven products that empower smarter financial decisions. Hybrid - 3 days onsite Location - London Key Responsibilities Lead the development and deployment of machine learning models and advanced analytics solutions. Collaborate cross-functionally to identify and prioritize data science opportunities. Build and mentor a high-performing data science team. Establish best practices … for experimentation, model validation, and deployment. Communicate complex data insights to technical and non-technical stakeholders. Stay current with trends in data science, machine learning, and financial technologies. Requirements Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. 5–10 years of experience in data science, with at least 2 years in a leadership … Competitive salary up to £110,000 (depending on experience) Equity package. Flexible working hours and hybrid work environment. Opportunity to shape the future of finance with cutting-edge technology. Learning and development budget to support your growth. #J-18808-Ljbffr More ❯

systems e.g., LLMs, RAG, Graph networks Strong experience deploying LLM’s for searching pipelines Up to date with current LLM and NLP research Experience designing, developing and deploying production machine learning pipelines Strong background in NLP techniques BS, MS or Ph.D. degree in Computer Science or related quantitative field Strong presentation skills Python for machine learning More ❯

Proven Experience in Delivering Software Products* Proven experience in programming languages such as Typescript, along with a strong background in either Python/Typescript.* Willingness to learn, AI/ML frameworks like TensorFlow and PyTorch (prior in-depth experience is not necessary).* A passion for AI and the eagerness to stay current with the latest AI research, trends, and … to convey complex technical topics, that resulted in a definitive direction.* Proven Experience in Delivering Software ProductsWhat will give you a competitive edge (preferred qualifications):* Experience with AI and machine learning frameworks (TensorFlow, PyTorch, etc.).* Experience deploying AI solutions in real-world applications.* Familiarity with cloud platforms (e.g., Azure, Google Cloud) and AI tools.* Hands-on technical More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

offerings in the market. What you’ll be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and … of Lumina Intelligence insight platforms. Collaborating with stakeholders to identify opportunities for automation, efficiency, and product innovation through data Staying up-to-date with emerging tools and research in machine learning, AI, and LLMs, bringing new technology into the team’s toolkit and championing responsible use across the business Driving the evolution of the data team including ways … share a vision and influence across functions Strong people leadership skills with a focus on mentoring, providing actionable feedback, and supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and More ❯

offerings in the market. What you’ll be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and … of Lumina Intelligence insight platforms. Collaborating with stakeholders to identify opportunities for automation, efficiency, and product innovation through data Staying up-to-date with emerging tools and research in machine learning, AI, and LLMs, bringing new technology into the team’s toolkit and championing responsible use across the business Driving the evolution of the data team including ways … share a vision and influence across functions Strong people leadership skills with a focus on mentoring, providing actionable feedback, and supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and More ❯

We are seeking a Data Engineer to help drive the design and development of a robust data infrastructure, through building databases and pipelines that will support our planning processes, Machine Learning use-cases and leadership reporting. As a Data Engineer, you will be part of a team responsible for the development and execution of world-class advanced analytics … projects, leveraging automation and machine learning to enhance and streamline business processes. You will build scalable solutions that benefit our internal customers – from technical design, prototyping, testing, deploying and monitoring production data. The ideal candidate will have the skills to collaborate in a cross-functional environment – planning, operations, finance, forecasting, data science – to test new ideas and challenge … pipelines in a complex data environment. Ability to manage time, prioritize tasks, negotiate requirements in an Agile Framework. Help define best practices for a data ecosystem that will support Machine learning and future AI research. Collaborate with data scientists and business analysts by facilitating their data format and condition requirements Minimum Qualifications: Previous experience in a Data Engineer More ❯

production-grade data science models, optimizing and upgrading them as needed. Design scientific solutions to complex business challenges, working with diverse datasets (internal and third-party) and leveraging advanced machine learning or statistical modelling techniques. Collaborate with data scientists, engineers, and pricing teams to mature the organization's analytics practice. Write high-quality Python code following industry best … to conduct high-quality research independently or in small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (eg, predictive modelling, machine learning, or data mining) to deliver actionable business insights. Exceptional written More ❯

Data Scientist, you will work across diverse projects in a multi-disciplinary team. Your responsibilities will include: Translating business challenges into testable hypotheses and conducting detailed analysis. Applying advanced machine learning techniques and delivering actionable insights. Engaging in projects ranging from data exploration and visualisation to building algorithms for integration into software and creating data pipelines. Exploring and … in secure customer environments. Required Skills and Experience: A degree or equivalent practical experience in a numerate field (e.g., maths, physics, economics, or engineering). Proficiency in statistical and machine learning techniques for complex datasets. Strong programming and data handling skills, particularly in Python or similar languages. Proven experience in developing data science solutions from proof of concept … to implementation. Expertise in deep learning, neural networks, and working with unstructured data (e.g., text, images, video). Excellent communication and stakeholder management skills. Experience leading teams in a data/data science setting. Experience with Python frameworks such as Django or Flask. Familiarity with DevOps practices and infrastructure preparation. Knowledge of Agile project methodologies. Proficiency with relational databases More ❯

functional teams, you will understand client requirements and develop customized NLP solutions to address their specific needs. By staying up-to-date with the latest advancements in NLP and machine learning research, you will proactively integrate new techniques into existing workflows. Additional responsibilities include mentorship and leadership, successful deliverables, and project and community leadership. Essential Skills/Experience … Advanced Academic Credentials: PhD or equivalent experience in Machine Learning/NLP. - Senior Industry Experience: Extensive industry experience, particularly in senior or leadership roles, demonstrating a robust understanding of NLP challenges and solutions. - Proficiency in Python: Advanced knowledge of Python - Advanced Problem-Solving Skills: Exceptional problem-solving abilities in the area of machine learning and NLP. More ❯

team in Manchester. In this role, you will lead strategic data initiatives aimed at optimizing customer engagement, pricing, and inventory management across retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimization). Conduct deep-dive analyses on customer behavior, sales trends, and supply chain data. Translate … proficiency in Python or R, SQL, and data visualization tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with More ❯

Social network you want to login/join with: In this role, you will be instrumental in creating fully operational machine learning products aimed at solving problems at the core of our business. Your engagement will encompass all phases of these projects, including liaising with business subject matter experts, model extract generation, deployment, and ongoing monitoring. Additionally, you … is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package. About You Building and monitoring end-to-end machine learning solutions deployed onto Azure. Creating data extracts to address complex business challenges, and collaborating across teams for all aspects of project delivery. Developing CI/CD processes … experience as a Data Engineer or in a similar role, with experience in building data solutions on Azure or other public cloud platforms. Familiarity with all parts of the machine learning lifecycle, from scoping and development to deployment and model maintenance. Expertise in Python, with clean, well-documented, and unit-tested coding skills. Proficiency in ETL processes for 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 More ❯

venture, focused on innovation and staying at the forefront of technology, including AI, coding for sustainability, and more. Why Join as a Lead Data Engineer? Fast progression and continuous learning opportunities Stay technically focused without management responsibilities Benefits include a learning allowance, paid overtime, and emphasis on work-life balance Responsibilities: Lead client delivery, ensuring high standards Bring … methodologies Strong communication skills and ability to work with cross-functional teams Preferred Extras: Experience with AWS, Azure, GCP Knowledge of data visualization tools (Tableau, Power BI) Experience with machine learning and data science applications Familiarity with open-source technologies and Data Platform Technologies like Quantexa, Palantir, DataBricks Knowledge of test automation frameworks Locations: Leeds (core location), with More ❯

challenges and exploring new opportunities through cutting-edge technology, including AI and sustainable coding practices. Why Join KPMG Curve as a Lead Data Engineer Enjoy rapid career progression, continuous learning, and exciting work. We support your growth as part of a connected team and encourage authenticity. You can advance your technical expertise without moving into management roles, and there … s no sales responsibility. Benefits include a learning allowance, paid overtime, and a strong focus on work-life balance and well-being. Responsibilities Lead data engineering projects with cloud experience, bringing innovative ideas to the team. Maintain high technical standards and contribute to solution development. Requirements Expertise in data engineering, analytics, architecture, or security using at least one cloud … Strong problem-solving skills with troubleshooting experience. Ability to collaborate effectively with Business Analysts and understand business needs. Desirable Skills and Extras Experience with Quantexa or Palantir. Interest in machine learning and data science applications. Knowledge of open-source technologies. Understanding of test automation frameworks and pipeline automation. To apply or learn more, create a profile, upload your More ❯

business performance and improve customer experience. In your role as Senior Data Scientist you’ll utilise our data science capability to predict likelihood to convert. Build logistic regression and machine learning models. help deliver a data driven omni-channel communication strategy, systemic comms sent to the right customers, for the right reasons at the right time to convert … are looking for: Proven experience in Data Science, preferably in a start-up or fast-paced environment and/or within Financial Services. Build new propensity models (regression/machine learning) to enable us to grow the number of products our customers have with us, increase their balance and to retain more customers Enhance our 600-attribute modelling More ❯

insurance with world-class data analytics and risk assessment solutions. As a global tech leader, we empower insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and … insurance with world-class data analytics and risk assessment solutions. As a global tech leader, we empower insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and … a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we’ve been recognized by The Wall Street Journal More ❯

and building complete solutions in-house. We create everything from hardware PCB designs to device firmware, Linux drivers, IoT application software, server software, server web UIs, mobile apps, and machine learning and data science solutions. We believe that by controlling every aspect of the development process, we can deliver truly unique and exceptional products to our customers. Our … team, you will have the opportunity to work with a variety of technologies and collaborate with experts in the field of digital signal processing, data acquisition, complex connected devices, machine learning, and data science. You will have the opportunity to work on exciting projects and see your ideas come to life, and you will be part of a More ❯

start full time employment in February 2026 A well-rounded academic background Baseline knowledge of software, applications and technical processes within a given technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to work effectively in large, collaborative teams to achieve organizational goals, with a commitment to fostering an inclusive and innovative culture. Foundational knowledge of … technologists across global technology centers is dedicated to designing, building, deploying, and managing a wide range of solutions, including enterprise technology initiatives, big data, mobile solutions, electronic payments, cybersecurity, machine learning, and cloud development. We collaborate with FinTech and Silicon Valley tech firms to deliver innovative solutions to our clients and customers. With a $17 billion annual investment More ❯

in the UK however we have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities for our customers. We therefore … creativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker More ❯

etc. Your Profile Experience in working on lead roles within the fields of AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has … of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts … for our clients. Scaling AI from lab to live by defining and implementing responsible AI design principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making. We are delighted to have received the "Glassdoor Best Places to work More ❯

Azure’s ecosystem—including Azure Synapse Analytics, Databricks, and Microsoft... Job DescriptionJob Title: Data Scientist Location: Bristol Salary: £45k - £65k Depending on ExperienceWork Pattern: Flexible Arrangements Skill Set: Python, Machine Learning, DatabricksSummaryA data-focused consultancy has a brand new role for an experienced Data Scientist to join their team. The... Job DescriptionJob Title: Data Scientist Location: Bristol Salary … 45k - £65k Depending on ExperienceWork Pattern: Flexible Arrangements Skill Set: Python, Machine Learning, DatabricksSummaryA data-focused consultancy has a brand new role for an experienced Data Scientist to join their team. The... Job DescriptionWe are seeking a detail-oriented Digital Data Analyst to oversee the financial performance of our paid media campaigns. This role involves analysing advertising spend More ❯

Machine Learning Engineer to join our growing Glasgow-based team. This is a chance to be part of a fast-moving, forward-thinking company applying AI and ML to complex operational challenges—making work faster, smarter, and more valuable. What You’ll Do: Develop, train, and deploy machine learning models to enhance automation and decision-making … Work with structured and unstructured data to create predictive and prescriptive insights Collaborate with analysts, developers, and client-facing teams to deliver impactful solutions Help shape and evolve the ML capabilities of the business, with a focus on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills … in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills, and a desire to learn A degree in Computer Science, Data Science, or a related discipline Why Join Us? Competitive salary of More ❯