101 to 125 of 965 Machine Learning Jobs in the UK excluding London

training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest … improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a More ❯

mentoring others, and leading delivery in close partnership with clients. Key Responsibilities: Serve as tech lead on Defence AI programmes, overseeing project delivery and model lifecycle Design software and ML architecture while enforcing engineering best practice Scope new projects with commercial teams, providing technical guidance during early phases Mentor junior data scientists and guide professional development across the team Work … hands-on with Python, ML libraries (NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow), and statistical modelling Translate real-world problems into mathematical frameworks and deploy scalable solutions Contribute to the wider data science community through thought leadership, teaching, and open-source contributions What You'll Bring: Senior-level experience in data science, quantitative research, or applied machine learning Strong … Python skills and proficiency with ML libraries and frameworks Experience leading teams or managing technical delivery across client-facing projects Depth in a wide range of data science techniques: supervised/unsupervised learning, time-series analysis, NLP, Bayesian inference, etc. A pragmatic, scientific mindset with commercial acumen and a drive for real-world impact Excellent communication and stakeholder engagement More ❯

You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor performance. Offer training and support on AI … tools and best practices. Stay current with the latest AI and machine learning advancements. What You'll Bring Proven experience in AI and machine learning with a strong project portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud More ❯

You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor performance. Offer training and support on AI … tools and best practices. Stay current with the latest AI and machine learning advancements. What You'll Bring Proven experience in AI and machine learning with a strong project portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud More ❯

o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering … delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of … on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable More ❯

Software Engineers and product teams to integrate AI solutions into productions systems, as well as: Design, develop, and implement AI models and algorithms for various applications. Optimize and scale machine learning models for performance and efficiency. Conduct research and stay up-to-date with the latest advancements in AI and machine learning. Analyse large datasets to extract … and the ability to coordinate initiatives to ensure the timely delivery of AI-driven projects, as well as: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field (desirable). Strong understanding of data structures, algorithms, and software engineering principles. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Familiarity … with AI, machine learning, or blockchain technologies. Excellent communication, and problem-solving skills. Understanding of cloud technologies, security principles, and modern development tools. Experience working with cross-functional teams. Familiarity with Agile development methodologies and DevOps practices, and Proficiency in programming languages such as Python, Java, or C++ would be beneficial. Knowledge of Azure Dev Ops and Power More ❯

resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields Key Responsibilities: Lead significant … results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large … scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills and the ability to solve complex problems efficiently. Terms of Appointment: You must have the More ❯

redefine what’s possible. Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community Who You Are: A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands-on experience in one or more … of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods. First-author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). Comfortable working in Linux environments and collaborating in a hybrid team setup. Exceptional communication, teamwork, and problem-solving skills. Why Join Us? Be part of a team that’s at the forefront of AI research, developing solutions that impact millions of users worldwide. Work in a dynamic and innovative environment where More ❯

conferences and journals, such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR. Skills and Qualifications Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines. Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing). Strong … fundamentals in Machine Learning, Computer Vision, and Deep Learning. Hands-on experience … in areas such as Generative AI, Foundation Models, Parameter-Efficient Fine-Tuning (PEFT), Data/Model Privacy, or Model Optimization for Multi-Task Learning. First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI). Experience in Linux environments. Proficiency in programming languages such as Python, Java, or C++. Experience More ❯

selling products - we want to solve problems and change lives through Monzo ️ Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our … customers' problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You'll work closely with the Product and Engineering in an agile product environment. You'll champion the use of data … how to build confidence with senior leaders across the business You have strong product knowledge and have built data products previously You have experience working with teams that build ML models and you understand how to build the right data set for ML models The interview process: Our interview process involves 3 main stages. We promise not to ask you More ❯

selling products - we want to solve problems and change lives through Monzo ️ Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our … customers' problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You'll work closely with the Product and Engineering in an agile product environment. You'll champion the use of data … how to build confidence with senior leaders across the business You have strong product knowledge and have built data products previously You have experience working with teams that build ML models and you understand how to build the right data set for ML models The interview process: Our interview process involves 3 main stages. We promise not to ask you More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain More ❯

AI Research Engineer (LLM Python) London/WFH to £95k Do you have experience with Machine Learning, AI research and Python engineering? You could be progressing your career at a "Tech for Good" start-up that is using AI models to help people focus on healthy living to extend their life, making personalised health risk assessments and connecting … most of the time, meeting up with colleagues in the London office once a week. About you: You have achieved a BSc or Masters degree in Computer Science, AI, Machine Learning or closely related discipline You have experience in Machine Learning, AI research or engineering roles You have strong Python programming skills You're comfortable running More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer … for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Lead Data Engineer candidates More ❯

ResponsibilitiesLead, mentor, and develop a team of three data analysts, fostering a high-performance culture.Translate business requirements into actionable analytics strategies and technical solutions.Build, maintain, and improve Python-based machine learning models, including those used for customer engagement predictions.Apply statistical methods and data mining to uncover insights and support decision-making.Recommend and implement the right analytics tools for … continuous improvement.Essential Skills & ExperienceProven background in data and analytics, including recent experience leading and developing a teamStrong technical expertise in Python, SQL, and Excel.Solid grounding in statistical methods and machine learning techniques.Hands-on experience building and deploying machine learning models-be ready to talk about what you've built.Proficiency in A/B testing design, execution More ❯

Manchester. Overview The Lead AI Developer will be responsible for leading the design, development, and deployment of advanced AI solutions. This role demands deep technical expertise in AI and machine learning paired with strong leadership skills to guide and mentor development teams. The successful candidate will manage AI projects end-to-end ,from architecture through to production, ensuring … deployment, continuous monitoring, and lifecycle. Drive innovation by researching and integrating emerging AI technologies, frameworks, and best practices. Required Skills and Qualifications Minimum 6+ years' experience in AI development, machine learning engineering, or closely related fields. Proven track record of leading AI projects through all phases, including design, development, and production deployment. Proficiency with machine learning More ❯

a new Senior 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. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. 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 as: Customer Lifetime Value More ❯

a new Senior 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. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. 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 as: Customer Lifetime Value More ❯

and develop a team of three data analysts, fostering a high-performance culture. Translate business requirements into actionable analytics strategies and technical solutions. Build, maintain, and improve Python-based machine learning models, including those used for customer engagement predictions. Apply statistical methods and data mining to uncover insights and support decision-making. Recommend and implement the right analytics … Experience Proven background in data and analytics, including recent experience leading and developing a team Strong technical expertise in Python, SQL, and Excel. Solid grounding in statistical methods and machine learning techniques. Hands-on experience building and deploying machine learning models-be ready to talk about what you've built. Proficiency in A/B testing More ❯

and develop a team of three data analysts, fostering a high-performance culture. Translate business requirements into actionable analytics strategies and technical solutions. Build, maintain, and improve Python-based machine learning models, including those used for customer engagement predictions. Apply statistical methods and data mining to uncover insights and support decision-making. Recommend and implement the right analytics … Experience Proven background in data and analytics, including recent experience leading and developing a team Strong technical expertise in Python, SQL, and Excel. Solid grounding in statistical methods and machine learning techniques. Hands-on experience building and deploying machine learning models-be ready to talk about what you've built. Proficiency in A/B testing More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/ML/Machine Learning/AI/Artificial Intelligence/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 70,000 + car/allowance + bonus. One … of our leading clients is looking to recruit a Data Engineer Azure/Python/ML/AI. Location Hybrid/West Midlands (Birmingham/Solihull) Permanent role Salary £50,000 70,000 + car/allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks ML/Machine Learning/AI/Artificial Intelligence Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory More ❯

to and extracting data from source systems, applying business logic and transformations, and enabling data-driven decision-making. Supporting strategic planning and identifying opportunities to apply AI models or machine learning techniques to enhance business processes. Capturing data requirements from customer and technical teams. Designing and implementing new data collection processes that ensure completeness, quality, and business relevance. … service platforms. Requirements Collaboration: excited to work alongside subject matter experts, data scientists, AI specialists, analysts, and visualisation professionals. Communication: able to explain complex technical concepts (including AI and machine learning outcomes) to non-technical audiences. Problem Solving: using data and AI as a foundation to tackle business challenges. Analytical Thinking: breaking down complex problems into manageable, actionable … Data Lake Storage, SQL DWH) or other cloud platforms ( essential ). Familiarity with distributed systems (Spark, Databricks, etc.). Familiarity with semi-structured and unstructured data formats. Knowledge of machine learning frameworks and how to operationalise models in production. Understanding of MLOps and AI model lifecycle management is a plus. Benefits: 25 Days holiday (excluding bank holidays) – increasing More ❯

to and extracting data from source systems, applying business logic and transformations, and enabling data-driven decision-making. Supporting strategic planning and identifying opportunities to apply AI models or machine learning techniques to enhance business processes. Capturing data requirements from customer and technical teams. Designing and implementing new data collection processes that ensure completeness, quality, and business relevance. … service platforms. Requirements Collaboration: excited to work alongside subject matter experts, data scientists, AI specialists, analysts, and visualisation professionals. Communication: able to explain complex technical concepts (including AI and machine learning outcomes) to non-technical audiences. Problem Solving: using data and AI as a foundation to tackle business challenges. Analytical Thinking: breaking down complex problems into manageable, actionable … Data Lake Storage, SQL DWH) or other cloud platforms ( essential ). Familiarity with distributed systems (Spark, Databricks, etc.). Familiarity with semi-structured and unstructured data formats. Knowledge of machine learning frameworks and how to operationalise models in production. Understanding of MLOps and AI model lifecycle management is a plus. Benefits: 25 Days holiday (excluding bank holidays) – increasing More ❯

to and extracting data from source systems, applying business logic and transformations, and enabling data-driven decision-making. Supporting strategic planning and identifying opportunities to apply AI models or machine learning techniques to enhance business processes. Capturing data requirements from customer and technical teams. Designing and implementing new data collection processes that ensure completeness, quality, and business relevance. … service platforms. Requirements Collaboration: excited to work alongside subject matter experts, data scientists, AI specialists, analysts, and visualisation professionals. Communication: able to explain complex technical concepts (including AI and machine learning outcomes) to non-technical audiences. Problem Solving: using data and AI as a foundation to tackle business challenges. Analytical Thinking: breaking down complex problems into manageable, actionable … Data Lake Storage, SQL DWH) or other cloud platforms ( essential ). Familiarity with distributed systems (Spark, Databricks, etc.). Familiarity with semi-structured and unstructured data formats. Knowledge of machine learning frameworks and how to operationalise models in production. Understanding of MLOps and AI model lifecycle management is a plus. Benefits: 25 Days holiday (excluding bank holidays) – increasing More ❯