876 to 900 of 4,290 Machine Learning Jobs in the UK

to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and … drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong … academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong More ❯

Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications More ❯

to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and … drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong … academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong More ❯

to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and … drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong … academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong More ❯

Cadence organization. Drive best practices in software development, including code reviews, testing methodologies, and technical documentation. Stay at the forefront of industry trends and emerging technologies in AI and machine learning. Foster an environment of continuous learning, innovation, and technical excellence. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming languages. Proven ability to lead technical teams and manage complex projects. Excellent problem-solving skills and analytical thinking. Outstanding communication and interpersonal More ❯

by George Cushen ( ), with deep experience delivering high-impact AI solutions across marketing and customer experience. What You'll Do Model & Build: Support the design and deployment of pragmatic machine learning solutions - from feature engineering in SQL to model development in Python, and deploying in production environments like AWS. Explore & Prototype: Help bring new ideas to life by … What You'll Bring Must-Have: A degree in a STEM discipline (Computer Science, Maths, Engineering, etc.) or equivalent practical experience. 2-4 years of experience delivering DS/ML solutions in production environments - ideally in settings where you've had to wear multiple hats (e.g., startups, small teams). Fluency in Python and SQL; experience building and deploying models More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and deploy scalable machine learning models to … learning models in production environments, ensuring uptime and accuracy. Develop best practices around model versioning, testing, and governance. Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools. REQUIREMENTS: 4+ years of experience in machine learning engineering, with a strong focus on productionizing ML models and MLOps. Proficiency in Python … and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow). Proven track record of delivering ML models that solve real-world business challenges at scale. Excellent communication skills with the ability More ❯

Senior Data Scientist Senior Data Scientist £2.5 million seed funded Startup utilising Machine Learning Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry. You will join a small team of 2 in Data and a wider company … algorithms which would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data Scientist More ❯

specialists in Data Engineering, BI, Analytics, and Data Governance to solve new andexciting problems - from customer personalisation models to forecasting and NLP use cases. You'll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices. This is a fantastic opportunity for a curious, solutions-focused data scientist to help build … modelling skills across classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience deploying and maintaining ML pipelines within Databricks Comfortable working with AWS data services and modern data architectures Experience with CI/CD pipelines and code versioning best practices Preferred skills: Familiarity with Databricks Asset More ❯

left to apply End Date: June 27, 2025 (7 days left to apply) job requisition id JR0024 What will you be doing day-to-day? Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay … level of documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy … and communication. Experience with working with raw datasets and perform data wrangling pre-modelling. Analytical and problem-solving skills. DESIRABLE MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics) Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in supporting model More ❯

a new Lead Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. Mentor and guide junior … with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such More ❯

professional will work collaboratively across the organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users. Responsibilities Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement machine learning algorithms and models for tasks such as classification … and recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating techniques for data … cleaning, feature engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments. Qualifications Bachelor's degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master's degree preferred; Proven experience implementing and fine-tuning Large Language Models or interactive More ❯

Define frameworks and standards aligned with industry standards (NIST, MITRE ATT&CK) and semiconductor-specific regulatory requirements including export control and SoX compliance. Drive innovation by utilising AI and machine learning technologies to enhance threat detection, incident response, and overall cyber defense posture. Partner with senior leadership to communicate security architecture roadmaps, risk mitigation strategies, and compliance postures. … Have" Skills and Experience: Bachelor's or advanced degree in Computer Science, Cybersecurity or related technical subject area. Relevant security certifications (CISSP, CISM, CCSP) and familiarity with AI/ML applications in security preferred. In Return: A high trust environment with the autonomy to build and shape a world-class critical capability for the organisation. You'll be valued as More ❯

footprint, the firm is currently modernising their data capability and building a new data platform. About the Role You will be part of a diverse group of engineers and machine learning experts, working with cutting-edge Azure cloud technologies, including Microsoft Fabric and related services. Your mission is to design reliable, efficient data pipelines that enable the business … to access trusted, well-structured data. You will also focus on building and scaling the core data infrastructure that supports advanced analytics and machine learning efforts across the business. Responsibilities Design and develop end-to-end data pipelines that ingest, transform, and prepare data for analytics and machine learning workflows. Work with Infrastructure as Code, primarily … or legal. Why join? Work at the forefront of a major digital transformation in a prestigious global legal organisation. Be part of a collaborative team that values innovation, continuous learning, and practical engineering approaches. Opportunity to work with the latest Azure tools and technologies - including Microsoft Fabric. If you’re passionate about building scalable, secure data platforms and enjoy More ❯

footprint, the firm is currently modernising their data capability and building a new data platform. About the Role You will be part of a diverse group of engineers and machine learning experts, working with cutting-edge Azure cloud technologies, including Microsoft Fabric and related services. Your mission is to design reliable, efficient data pipelines that enable the business … to access trusted, well-structured data. You will also focus on building and scaling the core data infrastructure that supports advanced analytics and machine learning efforts across the business. Responsibilities Design and develop end-to-end data pipelines that ingest, transform, and prepare data for analytics and machine learning workflows. Work with Infrastructure as Code, primarily … or legal. Why join? Work at the forefront of a major digital transformation in a prestigious global legal organisation. Be part of a collaborative team that values innovation, continuous learning, and practical engineering approaches. Opportunity to work with the latest Azure tools and technologies - including Microsoft Fabric. If you’re passionate about building scalable, secure data platforms and enjoy More ❯

footprint, the firm is currently modernising their data capability and building a new data platform. About the Role You will be part of a diverse group of engineers and machine learning experts, working with cutting-edge Azure cloud technologies, including Microsoft Fabric and related services. Your mission is to design reliable, efficient data pipelines that enable the business … to access trusted, well-structured data. You will also focus on building and scaling the core data infrastructure that supports advanced analytics and machine learning efforts across the business. Responsibilities Design and develop end-to-end data pipelines that ingest, transform, and prepare data for analytics and machine learning workflows. Work with Infrastructure as Code, primarily … or legal. Why join? Work at the forefront of a major digital transformation in a prestigious global legal organisation. Be part of a collaborative team that values innovation, continuous learning, and practical engineering approaches. Opportunity to work with the latest Azure tools and technologies - including Microsoft Fabric. If you’re passionate about building scalable, secure data platforms and enjoy More ❯

Hands-on experience with CI/CD tools (e.g. GitHub Actions, Azure Pipelines). Familiarity with containerization (Docker) Understanding of RESTful APIs and microservices architecture. Experience with AI/ML-related tools and libraries (e.g., Hugging Face, LangChain, PyTorch) preferred A strong intuition for what makes products a joy to use. Empathy for how different users will need different things … line). Ability to work collaboratively in a team environment. Ability to communicate complex ideas effectively, both verbally and in writing, in English. A strong software engineering background with machine learning expertise to understand how the user facing product will tie into backend and architectural decisions. Nice to Have: Experience in software engineering in healthcare and pharmaceutical domains. More ❯

in driving data-driven solutions for their clients across various industries. Why This Role: Work on exciting projects: Be part of shaping the future of business and technology. Continuous learning: Access to cutting-edge training and development opportunities. Flexible work: Enjoy a balanced work-life with flexible work arrangements. Make a difference: Contribute to projects with a positive social … business value through data-driven insights. Develop and implement advanced data science models and algorithms to extract actionable insights from complex datasets. Master and apply cutting-edge AI and machine learning techniques to solve complex business challenges. Collaborate effectively with cross-functional teams to create innovative data solutions and drive business growth. Mentor and develop junior data scientists … You'll Need: Proven expertise in data science with a focus on delivering business value. With a preference for experience in a consulting role. Strong foundation in statistical modelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving complex problems More ❯

deliver more value to their customers. BASIC QUALIFICATIONS 2+ years of research experience PhD, or Master's degree and 3+ years of applied research experience Experience with neural deep learning methods and machine learning Knowledge of Machine Learning algorithms and techniques PREFERRED QUALIFICATIONS PhD in Computer Science, Machine Learning, or a related field … with a focus on GenAI Experience in developing and implementing algorithms for LLMs and/or diffusion models inference Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch Excellent problem-solving skills, with the ability to think creatively and critically about complex problems Strong communication and collaboration skills, with the ability to More ❯

pursuit. Program Highlights Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product development Academic … with leading universities and contribute to the broader scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up … to date with the latest advancements in AI and related fields Qualifications Required: PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Strong problem-solving skills and the ability to work both independently and collaboratively Excellent communication skills, with the ability to present More ❯

pursuit. Program Highlights Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product development Academic … with leading universities and contribute to the broader scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up … to date with the latest advancements in AI and related fields Qualifications Required: PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Strong problem-solving skills and the ability to work both independently and collaboratively Excellent communication skills, with the ability to present More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £75,000 + £5,000 bonus + strong pension COMPANY: We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service it provides its customers. They are looking for an MLOps Engineer … learning models in production environments, ensuring uptime and accuracy. Develop best practices around model versioning, testing, and governance. Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools. REQUIREMENTS: 4+ years of experience in machine learning engineering, with a strong focus on productionizing ML models and MLOps. Proficiency in Python … and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow). Proven track record of delivering ML models that solve real-world business challenges at scale. Excellent communication skills with the ability More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs of … team of 15 people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; natural language processing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in … our fast-paced multi-disciplinary environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g. natural language processing, information retrieval, machine learning or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept/Topic Extraction Document summarization Trend More ❯

working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model … led understanding of products and categories, optimizing across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularized regression, clustering or tree-based ensembles, and the … up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us More ❯

awarded two major contracts with international Mobile Network Operators and is looking for a talented Data Scientist to help unlock the value in their data through advanced analytics and machine learning. This is a fantastic opportunity to join a growing and ambitious tech business that works with some of the world’s leading mobile network companies. They're at … data-driven decision-making across the organisation. Key responsibilities for the Data Scientist – Analyse large volumes of structured and unstructured data to extract meaningful insights. Develop predictive models and machine learning algorithms to support business goals. Build and deploy data science solutions into production environments. Work closely with software engineers and data engineers to ensure end-to-end … we’re looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL More ❯