951 to 975 of 4,294 Machine Learning Jobs in the UK

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 ❯

substandard performance. Enhance system and service reporting to understand and communicate user experience with internal and external stakeholders. Keep automation at the forefront of all activities. Implement AI/ML to support service performance monitoring, reporting and root cause analysis. What It Takes : A degree in a quantitative discipline, such as Mathematics, Computer Science or equivalent. Demonstrated experience in data … analysis (2+ years). Excellent verbal and written communication skills. Experience with and understanding of: Version control - Git, GitHub Use of databases - Snowflake, postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD in applied data science. Where 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 ❯

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 ❯

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 ❯

chain. 🔍 Your Responsibilities: Analyse consumer and sales data: Work with large, complex datasets to uncover insights on shopper behaviour, purchasing trends, and retail performance. Support predictive modelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. … s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and … in It for You: Growth opportunities: Join a company that invests in your development and offers a clear progression path. Collaborative culture: Work in a team that values experimentation, learning, and creativity. Tech-forward environment: Access to modern data tools and cloud-based infrastructure. Competitive compensation: Including salary and performance-based bonuses. If you're a driven Junior Data More ❯

coming year and beyond! The role We are now looking for an AI Solutions Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the most effective AI solutions for … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you … development of our AI agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to More ❯

for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions that drive business … strategy, improve customer experience, and enhance operational efficiency. Join AJ Bell and be part of a forward-thinking organisation that values expertise, innovation, and continuous learning in a collaborative environment. Position: Senior Data Scientist Job Type: Full-Time Location: Manchester About the Role Hackajob is partnering with AJ Bell to fill this position. Create a profile to be automatically … innovative team in Manchester, United Kingdom. As a key member of our data science department, you will leverage your expertise to extract valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex More ❯

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate … equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

execution and delivery of data science projects in a collaborative environment. We expect the role holder to bring relevant expertise and experience in data analysis, including statistical modelling and machine learning, to communicate effectively on progress and results to a variety of audiences. In addition, we expect the job holder to advocate for data-driven research, to be … technology. What are we looking for? PhD or master's degree with equivalent relevant experience in Statistics, Computer Science, Mathematics or a related field Experience in statistical modelling and machine learning and their practical applications, driving positive change through data-driven decision making and their applications. Understanding of statistical principles related to sampling, bias, inference and prediction. Ability … materials to a variety of audiences. What will be your key responsibilities? Execute data science projects in a collaborative environment, taking responsibility for data analysis, including statistical modelling and machine learning, and data management and reporting with a repeatable, interpretable and scalable approach. Work with key stakeholders across the organisation to deliver value-adding data science projects across More ❯

needs. The AI Solution Architect will be responsible for designing, developing, and implementing AI solutions that address complex business challenges. This role requires a deep understanding of AI technologies, machine learning, and data science, as well as the ability to collaborate with clients and internal teams to deliver impactful solutions. Your future duties and responsibilities • Design and architect … trends, technologies, and best practices. Required qualifications to be successful in this role • Proven experience as an Architect working on commercial Artificial Intelligence projects • Strong understanding of AI technologies, machine learning algorithms, and data science principles. • Excellent problem-solving and analytical skills. • Ability to communicate complex technical concepts to non-technical stakeholders. • Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, Google Cloud). • Ability to work independently and as part of a team. #CF-1 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because... You are invited More ❯