201 to 225 of 941 Machine Learning Jobs in the UK excluding London

Essential Skills: .NET C# Mvc (Framewrk and/or Core) WebApi SignalR Python programming experience Previous experience in the development and use of Convolution Neural Networks (CNN s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to … with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. More ❯

Essential Skills: .NET C# Mvc (Framewrk and/or Core) WebApi SignalR Python programming experience Previous experience in the development and use of Convolution Neural Networks (CNN's) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to … with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. More ❯

Essential Skills: .NET C# Mvc (Framewrk and/or Core) WebApi SignalR Python programming experience Previous experience in the development and use of Convolution Neural Networks (CNN’s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to … with Geospatial data. Azure Big Data technologies, DataLake, Sql Data Warehouse, Azure Databricks Media Decoding Academic background in a scientific or technical discipline with some formal computer vision/machine learning content. More ❯

implement scalable data solutions in Azure cloud environments Collaborate with cross-functional teams to understand data requirements Ensure data quality, integrity, and security across platforms Support the deployment of machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python … data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension More ❯

implement scalable data solutions in Azure cloud environments Collaborate with cross-functional teams to understand data requirements Ensure data quality, integrity, and security across platforms Support the deployment of machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python … data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension More ❯

implement scalable data solutions in Azure cloud environments Collaborate with cross-functional teams to understand data requirements Ensure data quality, integrity, and security across platforms Support the deployment of machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python … data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension More ❯

We’re working with a biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software. What you’ll be doing: Coming … supports a life-saving platform.You’ll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might More ❯

investing through innovative data solutions. Key Responsibilities: Data Ingestion & Cleansing: Develop pipelines to integrate and clean large, complex datasets (commodities, equities, alternative data). Data Analysis: Apply statistical and machine learning techniques to uncover actionable insights for investment strategies. Data Infrastructure: Maintain and optimise automated systems for data collection, storage, and retrieval to support the research process. Collaborate … complex concepts to both technical and non-technical stakeholders Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus Location More ❯

investing through innovative data solutions. Key Responsibilities: Data Ingestion & Cleansing: Develop pipelines to integrate and clean large, complex datasets (commodities, equities, alternative data). Data Analysis: Apply statistical and machine learning techniques to uncover actionable insights for investment strategies. Data Infrastructure: Maintain and optimise automated systems for data collection, storage, and retrieval to support the research process. Collaborate … complex concepts to both technical and non-technical stakeholders Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus Location More ❯

investing through innovative data solutions. Key Responsibilities: Data Ingestion & Cleansing: Develop pipelines to integrate and clean large, complex datasets (commodities, equities, alternative data). Data Analysis: Apply statistical and machine learning techniques to uncover actionable insights for investment strategies. Data Infrastructure: Maintain and optimise automated systems for data collection, storage, and retrieval to support the research process. Collaborate … complex concepts to both technical and non-technical stakeholders Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus Location More ❯

Technical Support Engineer/Graduate IT Engineer 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Science, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT … going basis. Must have excellent client facing, problem solving skills, and solid attention to detail. Salary 37-38k. (Training in Software Development, AI technologies, IOT, Contact Centre application, Machine Learning, SaaS, Cloud Applications), and more. Very Much of a Customer facing CX ROLE. Our clients take pride in their core beliefs of teamwork, quality and agility. Time … Technical Support Engineer/Graduate Software Developer 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL More ❯

a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements … Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations … contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA More ❯

a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements … Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations … contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA More ❯

a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements … Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations … contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA More ❯

on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime … and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business … effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime … and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business … effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all … are resolved. - Communicate and document your research by writing and sharing internal documents with your team BASIC QUALIFICATIONS - Are enrolled in or have completed a PhD in computer science, machine learning, engineering, or related fields - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience More ❯

advanced technology solutions, working with clients across banking, finance, IT, government, retail, and beyond. As a Graduate Business Development Manager , you will sell innovative solutions within SaaS, Cloud, AI, Machine Learning, IT Security, Managed Services, IOT, Project Applications, Unified Communications, NLP, Data, and UcaaS. This is not a transactional sales role, it requires a consultative, entrepreneurial mindset , the More ❯

time series analysis and develop platform and environmental noise compensation techniques that enable high quality magnetic- and gravity-aided navigation using state-of-the-art digital signal processing and machine learning methods; Use data analytics to translate quantum sensor data streams into capabilities that solve pressing challenges for current and prospective end-users and customers; Work closely with … magnetic signature and/or platform motional characterisation and management; magnetic and/or vibrational signal denoising; quantum sensing and/or other sensing technologies. Knowledge and experience of machine learning methods to time series data including generative modelling. Contributing to a software system architecture with multiple components developed by different teams, adhering to best-practice software development More ❯

specializes in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports … events. Responsibilities: Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live More ❯

specializes in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports … events. Responsibilities: Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live More ❯

focused. This will be achieved by using a range of new technologies including Robotic Process Automation (RPA), Application Programming Interfaces (APIs), Artificial Intelligence (AI) and Machine Learning (ML). The Digital Transformation Team are seeking a highly motivated and technically proficient UiPath Developer to join the team. This role is ideal for a mid to senior-level developer … standards. Provide post-deployment support and troubleshooting as needed. Person Specification Proven experience with various components of the UiPath Automation Platform including UiPath Studio, Orchestrator, Document Understanding, AI and ML models and UiPath Apps. Strong understanding of RPA design principles, reusability, and modular workflows. Detailed understanding of the REFramework and Document understanding framework, and experience implementing both unattended and attended … robots Experience with workflow debugging, logging, and exception handling. Working knowledge of SQL, APIs, AI & ML Familiarity with DevOps, version control systems and kanban Comfortable working within agile and fast-paced environments. Effective communication and documentation skills. Desirable Skills Working knowledge of scripting programming languages like C# and Python Exposure to other automation tools (e.g., Power Automate, PowerShell, Python) is More ❯

Graduate Business Development Executive, IT Consulting £35-38 k +OTE, Sales, IT Sales, Client Consulting. Must have a real zest for Technology, Customer Facing Role, Sales, IT Solutions, learning and Developing skillsets. Must enjoy traveling nationally and internationally. Our clients are champions and a multi award winning entity. They are seeking to hire capable, confident Graduates with a … OTE, training and development on an ongoing basis, with the tools you will need to succeed. Our clients follow Government guidelines Graduate Business Development Executive, B2B, IT SALES, AI, Machine Learning, NLP Applications, UcaaS, IoT, Complex sales, Solution Sales. International Travel Key Responsibilities What our clients look for, Graduate Business Development Executive Sales wins: the role exists to More ❯

skills. Your technical background Strong experience in PHP (Symfony framework) with Doctrine ORM for database management, and proficiency in Node.js (Express, WebSockets) and JavaScript. Proven experience integrating AI or machine learning APIs Telephony & Messaging APIs: Hands-on experience with platforms that allow managing voice calls, webhooks, SMS, and real-time media streams. Web & Cloud Services: APIs, RESTful/… Redis. DevOps: Docker, GitLab CI/CD, Linux server administration. Frontend: HTML/CSS, JavaScript/jQuery/Stimulus, Bootstrap or Tailwind Additional experience in Conversational AI and NLP, Machine learning, and automation/workflow management preferred This role will predominantly be remote with monthly meetings in the Liverpool area More ❯

of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants, strategists, and … MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event … as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences An innovative and proactive mindset with a love of new ideas, tools, and learning Nice to Have Experience establishing data science workflows in a commercial setting A track record of upskilling or training others in data/statistics A desire to contribute to More ❯