226 to 250 of 838 Machine Learning Jobs in the UK excluding London

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

solution into production. 1x Data Scientist - (Predictive Maintenance)Must have:-· Full stack data scientist with both science and engineering skills to develop ML solutions and get them into production· Senior individual contributor...able to draw upon a wide experience of problems and solutions to technically guide more junior data scientists.· Expert … applied machine learning, including the techniques currently being used in PRISM (XGBoost and SHAP)· Experience of using machine learning to solve commercial predictive· Ideally, experience with Causal MLBoth roles require Stakeholder management skills (defining and prioritising requirements, contributing to product roadmap, supporting adoption). Hays Specialist ...

Europe. We’re building a team of consultants who are passionate about placing top talent within technologies including Software Engineering, Data, AI & Machine Learning, ERP, Cloud, and Data Centre software or hardware. Our London team is hiring experienced recruiters who take ownership of their careers, thrive in high … processes Evidence of achieving and exceeding financial/revenue targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What You Will Be Doing We are looking for strong Data and Solution Architects who are passionate … systems to scalable, cloud-native solutions. Design and implement lakehouse architectures that unify data lakes and data warehouses for advanced analytics and AI/ML workloads. Partner with other solution architects to assess solution alignment to the overall architectural blueprint – and drive proposal writing, solution direction, pricing and costing Owns ...

client is an award-winning technology company developing advanced software platforms used across the UK and internationally. They operate at the intersection of AI, Machine Learning, NLP, IoT, SaaS, and Cloud technologies , and are seeking high-calibre STEM graduates to join as Graduate Technical Engineers , with a structured … analysing system behaviour Communicate technical concepts to technical and non-technical stakeholders Contribute to ongoing system and development improvements Technology Exposure Artificial Intelligence & Machine Learning Natural Language Processing (NLP) SaaS & Cloud platforms IoT/M2M systems Unified Communications & Contact Centre technologies IT Security & Data Infrastructure Future development into ...

teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related … Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature ...

hands on engineering position suited to individuals who enjoy building end to end AI applications, working with large language models, agentic workflows and modern machine learning technologies. Responsibilities for the AI Engineer: Develop and deploy AI powered applications, services and APIs Build solutions using Generative AI, Agentic … machine learning techniques Design and optimise RAG pipelines, vector search solutions and AI workflows Integrate AI capabilities into existing platforms and business systems Collaborate with engineers, data specialists and business stakeholders to deliver high impact solutions Contribute to technical best practice and support continuous improvement across ...

large organisation, it offers a structured and professional environment with opportunities to work on impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines … approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP/text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive ...

Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field. Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture. Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM, or TGI). Proficiency in C/C++ … tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this Systems Research ...

data science strategy, and ensure the successful delivery of business-critical initiatives. Key Responsibilities Lead the design, development, and deployment of advanced analytical and machine learning models. Partner with business and technology stakeholders to translate complex challenges into data-driven solutions. Drive the modernisation of data science practices … complex organisations. Strong Python and/or HX modelling experience. Track record of delivering models that drive measurable commercial outcomes. Expertise in predictive modelling, machine learning, and statistical analysis. Experience working with large-scale structured and unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial ...

data warehousing, integration and Cloud migration. As art of a broader Cloud migration programme, this will include areas such as Data Lakehouse and factories, machine learning and AI to maximise efficiency across Data Management. The core elements of the role include: Line management of the Data Team. Lead … lead successful data projects. Strong core knowledge on Data Warehousing and Integration. Expertise in Cloud Data Services (AWS, Azure, Google). Familiarity with machine learning and AI tools associate with data analysis. Ability to troubleshoot complex issues across SQL and ETL tools. Fabulous working environment, with flexible ...

building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What You Will Bring Design and build high-performance data pipelines: to extract, transform, and load data into Cloud … move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines ...

Extraction, interpretation and presentation of emerging data Development of Power BI reports to showcase patterns, trends and issues Use of accumulated data to develop machine learning models for improved future accuracy Collaboration with wider Performance, Analysis and Advanced Engineering teams to support machine learning initiatives … will have the chance to develop your skills and knowledge in a supportive and dynamic environment. Our program is designed to provide a comprehensive learning experience that prepares you for a successful career in the industry. Training This 36-42 month Level 6 Data Scientist Apprenticeship gives learners essential ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data … lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Design, Monitor ...

covering communications, customer engagement and payment solutions. Lead the design, development and launch of innovative cloud-native products and services. Drive adoption of AI, machine learning and automation technologies across both products and internal development processes. Build, develop and optimise the Product Development function, ensuring capability aligns with … Strong knowledge of cloud-based communications, customer engagement or SaaS platforms. Experience delivering enterprise-scale software products and technology transformation programmes. Expertise in AI, machine learning, analytics and data-driven product development. Knowledge of secure payment technologies, compliance frameworks and cloud infrastructure. Strong understanding of Agile delivery methodologies ...

enhance IT service operations and overall business operations. Lead proof-of-concept initiatives to automation resolution of events and incidents. Introduce and implement new machine learning models and aiops features. Process Improvement: Responsible to identify service optimisation initiatives to mature the overall service. Continuously improve IT and business … observability and automation technology tools. ITSM Tooling: Responsible to identify opportunities to increase the proactive prediction, detection and restoration of events and incidents using machine learning models. Responsible to leverage the aiops, service now to increase the automation of resolution. Design and oversee the implementation of ITSM tooling ...

pragmatic delivery. This is an organisation that invests in modern tools and encourages continuous learning. The Role and Deliverables Build, validate, and deploy machine learning models to solve business problems Translate complex data into actionable insights for non-technical stakeholders Work with structured and unstructured datasets to uncover … clear documentation and communicate findings effectively Support ongoing optimisation and monitoring of deployed models Your Skills & Experience Strong experience in data science or applied machine learning within a commercial environment Proficiency in Python or R, with experience using relevant libraries and frameworks Experience working with SQL and handling ...

Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns … impact Your Skills & Experience Strong commercial experience in Data Science, delivering end-to-end projects Proficiency in Python, with solid SQL skills Experience applying machine learning and statistical techniques to business problems Exposure to deploying models into production environments Understanding of cloud platforms such as GCP or Azure ...

customer loyalty programme. The Role You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions. Build and deploy models that support customer and commercial decision making Work on use cases such as customer segmentation, lifetime value … experience working with large datasets End to end experience delivering Data Science solutions from problem definition through to deployment Experience building and validating machine learning models Ability to communicate insights clearly to non technical audiences A practical, business focused approach to problem solving What They Offer Hybrid working ...

numerical simulations for complex real-world applications Work closely with software, systems and modelling teams to support implementation and integration activities Contribute to machine learning, data-driven and optimisation techniques where applicable Support continuous improvement of algorithm development methodologies and engineering processes Ensure robust verification, testing and quality … development lifecycle Skills & Experience Experience in some of the following areas is highly desirable: Algorithm development or mathematical modelling Numerical analysis and simulation Machine learning/AI techniques Data science methodologies Geospatial analysis or GIS technologies Scientific programming or software development MATLAB, Simulink and/or Python Strong ...

data science strategy, aligning with broader business objectives * Build, mentor, and lead a high-performing data science team * Oversee the development and deployment of machine learning models and advanced analytics solutions * Partner with senior stakeholders to identify opportunities where data science can drive commercial impact * Establish best practices … data science solutions and clear reporting of impact Your Skills & Experience * Strong experience leading data science teams and driving strategic initiatives * Deep expertise in machine learning, statistical modelling, and advanced analytics techniques * Proficiency in tools such as Python or R, and familiarity with modern data platforms * Experience translating ...

supportive and hands-on environment. Key Responsibilities: Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. … university (e.g., Russell Group or equivalent) Strong programming skills in Python and R. Solid understanding of statistical analysis and quantitative methods. Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.). Strong analytical mindset and attention to detail. Ability to present findings clearly to technical ...

using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence. The Role and Deliverables … Lead platform releases and upgrades, including planning, testing, communication and rollback where required. Implement and maintain security, risk and compliance controls for data and machine learning workloads. Manage the platform roadmap, cost optimisation activities and key supplier relationships. Your Skills & Experience Strong experience operating Palantir platforms in production ...

datasets. Responsbilities Working hands-on with macroeconomic and structural models, including those used for forecasting and policy simulation Applying large language models and machine learning to extract insights from economic and financial reports Analysing complex datasets to identify patterns and economic implications Supporting the development of new methodologies … Experience running macroeconomic models and preparing analytical outputs Skilled in working with large datasets and identifying economic trends Familiarity with large language models and machine learning techniques High proficiency in English Must have the right to work in the UK or the US (please note sponsorship ...

talent Establish AI standards and best practices Build and lead the AI function What We're Looking For Technical Experience Software engineering or machine learning engineering Proven experience building production AI applications Strong Python engineering capability Experience deploying AI products into real-world environments Experience with several … build a company, not just a product Ideal Backgrounds Senior AI Engineer Lead AI Engineer Founding AI Engineer Applied AI Engineer AI Product Engineer Machine Learning Engineer (LLM Focus) AI Solutions Architect What's on Offer Competitive salary Meaningful equity opportunity Direct access to founders and strategic decision ...