351 to 375 of 1,863 Machine Learning Jobs in the UK excluding London

Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape … probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter. 💡 Why join: Lead high-impact projects bridging AI and life sciences Collaborate with brilliant engineers and … for transforming noisy data into meaningful insight Strong collaboration across technical and scientific disciplines A mindset focused on reproducibility, clarity, and impact They’re open to a range of ML and scientific backgrounds (Python is the core language). 📍 London | Hybrid (3-4 days/week) If you’re ready to push the boundaries of what’s possible in computational More ❯

Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape … probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter. 💡 Why join: Lead high-impact projects bridging AI and life sciences Collaborate with brilliant engineers and … for transforming noisy data into meaningful insight Strong collaboration across technical and scientific disciplines A mindset focused on reproducibility, clarity, and impact They’re open to a range of ML and scientific backgrounds (Python is the core language). 📍 London | Hybrid (3-4 days/week) If you’re ready to push the boundaries of what’s possible in computational More ❯

Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape … probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter. 💡 Why join: Lead high-impact projects bridging AI and life sciences Collaborate with brilliant engineers and … for transforming noisy data into meaningful insight Strong collaboration across technical and scientific disciplines A mindset focused on reproducibility, clarity, and impact They’re open to a range of ML and scientific backgrounds (Python is the core language). 📍 London | Hybrid (3-4 days/week) If you’re ready to push the boundaries of what’s possible in computational More ❯

days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. You’ll work alongside experienced engineers and … creative, fast-paced environment. Key Responsibilities: Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute … MLOps and modern data engineering best practices Why join: You’ll be part of a company with a clear mission and strong data culture, joining a team that values learning, collaboration, and creativity. The role offers real opportunities to grow towards senior and platform-focused positions, working with a modern tech stack and talented peers. Package & Setup More ❯

days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. You’ll work alongside experienced engineers and … creative, fast-paced environment. Key Responsibilities: Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute … MLOps and modern data engineering best practices Why join: You’ll be part of a company with a clear mission and strong data culture, joining a team that values learning, collaboration, and creativity. The role offers real opportunities to grow towards senior and platform-focused positions, working with a modern tech stack and talented peers. Package & Setup More ❯

integrating internal and external data sources . Translate credit policy and business objectives into technical requirements and rule frameworks . Partner with data science teams to integrate statistical and machine learning models . Ensure compliance with lending regulations and deliver full audit transparency . Establish performance monitoring frameworks - approval rates, default trends, model accuracy . Drive automation across … R, SAS) . Proficient in enterprise system integration and data warehousing environments . Understanding of cloud platforms (AWS, Azure, GCP) for scalable decisioning . Advanced knowledge of statistical modelling & machine learning techniques . In-depth understanding of credit life cycle, affordability, and lending risk principles . Knowledge of credit policy, underwriting criteria, affordability metrics, and regulatory frameworks Who More ❯

into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and machine learning models (credit scoring, loss forecasting, affordability assessments) into decisioning systems. Ensure regulatory compliance : Incorporate responsible lending obligations and other relevant regulations into the framework, ensuring systems provide … decisioning engines with customer applications, credit bureaus, and internal data sources. Familiarity with cloud platforms (AWS, Azure, GCP) and their use in scaling decisioning systems. Expertise in statistical modeling, machine learning, and stress-testing methodologies. Domain Knowledge Deep understanding of financial products and the credit lifecycle. Strong grasp of credit underwriting, affordability metrics, and regulatory compliance requirements. ... More ❯

into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and machine learning models (credit scoring, loss forecasting, affordability assessments) into decisioning systems. Ensure regulatory compliance : Incorporate responsible lending obligations and other relevant regulations into the framework, ensuring systems provide … decisioning engines with customer applications, credit bureaus, and internal data sources. Familiarity with cloud platforms (AWS, Azure, GCP) and their use in scaling decisioning systems. Expertise in statistical modeling, machine learning, and stress-testing methodologies. Domain Knowledge Deep understanding of financial products and the credit lifecycle. Strong grasp of credit underwriting, affordability metrics, and regulatory compliance requirements. .. More ❯

into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and machine learning models (credit scoring, loss forecasting, affordability assessments) into decisioning systems. Ensure regulatory compliance : Incorporate responsible lending obligations and other relevant regulations into the framework, ensuring systems provide … decisioning engines with customer applications, credit bureaus, and internal data sources. Familiarity with cloud platforms (AWS, Azure, GCP) and their use in scaling decisioning systems. Expertise in statistical modeling, machine learning, and stress-testing methodologies. Domain Knowledge Deep understanding of financial products and the credit lifecycle. Strong grasp of credit underwriting, affordability metrics, and regulatory compliance requirements. ... More ❯

the best talent across the UK and 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-trust environments, and … understanding of recruitment and sourcing 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 and Benefits Holiday – 30 days More ❯

the best talent across the UK and 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-trust environments, and … understanding of recruitment and sourcing 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 and Benefits Holiday – 30 days More ❯

the best talent across the UK and 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-trust environments, and … understanding of recruitment and sourcing 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 and Benefits Holiday – 30 days More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets click apply for full job details More ❯

platform that monitors a wide range of nocturnal parameters without the patients having to do or wear anything. The product incorporates state of the art sensor technology, with sophisticated machine learning and signal processing algorithms, collecting continuous, objective and accurate physiological data from the patient's home. Albus Home is certified for use in 25 countries, and has … Electronic QMS (Quality Management System) systems such as Ketryx, Cognidox, or similar would be a distinct advantage. Understanding of the various technologies involved in an Internet of Things and machine learning product: Cloud software (AWS), Embedded software and electronic devices. Benefits Competitive salary based on experience and qualifications. Preference for on-site collaboration with option for some hybrid More ❯

emerging technologies. The right candidate enjoys thinking, writing and speaking about the latest breakthrough advances – from scaling direct capture of CO2 from air to using quantum hardware for running machine learning algorithms – and everything in between. You’ll work alongside our project delivery teams, our huge community of science and technology experts to crowdsource their collective intelligence, and … our unwavering pursuit of exceptional quality, providing constructive feedback to contributors You are expected to gain exposure to a wide range of emerging technology topics, such as: AI and machine learning Autonomous and unmanned systems Biomanufacturing Climate data & analytics Digital Twins Future aerospace concepts Human-machine interfaces Nanomaterials Neurotechnologies Next-gen renewables Quantum sensing Satellite communications Space More ❯

emerging technologies. The right candidate enjoys thinking, writing and speaking about the latest breakthrough advances – from scaling direct capture of CO2 from air to using quantum hardware for running machine learning algorithms – and everything in between. You’ll work alongside our project delivery teams, our huge community of science and technology experts to crowdsource their collective intelligence, and … our unwavering pursuit of exceptional quality, providing constructive feedback to contributors You are expected to gain exposure to a wide range of emerging technology topics, such as: AI and machine learning Autonomous and unmanned systems Biomanufacturing Climate data & analytics Digital Twins Future aerospace concepts Human-machine interfaces Nanomaterials Neurotechnologies Next-gen renewables Quantum sensing Satellite communications Space More ❯

labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing … suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday More ❯

Software AI Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Cheltenham. Working at the forefront of defence and national security innovation this Software AI Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready, market leading solutions. This role would suit a … software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect excellent career development and training opportunities within a market leading SME. Due to … should have most of the following key skills: - A software engineering background - Python, JavaScript, node.js, C++, etc - A real passion for bleeding edge generative AI and/or advanced machine learning technology - Very strong communication skills with the ability to articulate complex technical concepts to senior non-technical stakeholders - Experience working in R&D or small technical teams More ❯

designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial crime prevention, leveraging AI and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial … crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI/ML-based financial crime solutions. Working with external stakeholders to bring on new business and develop existing relationships Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and … Strong experience in financial crime or forensic analytics. Proven leadership experience managing technical teams. Deep understanding of Python and its application in financial crime analytics. Experience with AI and machine learning techniques. Background in selling financial crime products or solutions. Experience working within a UK bank or consultancy environment. Strong domain knowledge across financial crime, fraud, conduct risk More ❯

designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial crime prevention, leveraging AI and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial … crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI/ML-based financial crime solutions. Working with external stakeholders to bring on new business and develop existing relationships Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and … Strong experience in financial crime or forensic analytics. Proven leadership experience managing technical teams. Deep understanding of Python and its application in financial crime analytics. Experience with AI and machine learning techniques. Background in selling financial crime products or solutions. Experience working within a UK bank or consultancy environment. Strong domain knowledge across financial crime, fraud, conduct risk More ❯

designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial crime prevention, leveraging AI and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial … crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI/ML-based financial crime solutions. Working with external stakeholders to bring on new business and develop existing relationships Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and … Strong experience in financial crime or forensic analytics. Proven leadership experience managing technical teams. Deep understanding of Python and its application in financial crime analytics. Experience with AI and machine learning techniques. Background in selling financial crime products or solutions. Experience working within a UK bank or consultancy environment. Strong domain knowledge across financial crime, fraud, conduct risk More ❯

include: Mining data from a variety of company databases and systems Preparation of data for analysis Data analysis and interpretation, identifying patterns and potential insights Statistical modeling and using machine learning techniques to identify trends and make forecasts Evaluating model performance using different metrics and refining models to improve performance Create visual representation of data to include graphs … science or related field preferred Experienced with database systems, SQL and full proficiency in Power BI Mathematically minded with solid knowledge of statistical methods and probability Experienced with various machine learning algorithms and frameworks Analytical with a sound problem solving ability Task orientated with a solid sense of urgency Excellent communication skills with the ability to explain complex More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. Are you passionate about Data and … First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. What are we looking for? Proven More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. Are you passionate about Data and … First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. What are we looking for? Proven More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. Are you passionate about Data and … First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. What are we looking for? Proven More ❯