751 to 775 of 1,658 Machine Learning Jobs in the UK

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

public holidays), with buy/sell options. Flexible Benefits: Life assurance, gym memberships, health plans. Work-Life Balance: 37.5-hour week + up to 2 TOIL days per month. Learning & Development: TechX Academy, unlimited e-learning, career mobility. If you want to work on real-world systems, close to the mission, and in a role where your code … transportation. What Makes Us Different: Purpose:you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration:having flexibility to More ❯

which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and … optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our … and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of More ❯

impressive external recognition for its innovative offerings, best-in-class capabilities, and tangible impact for customers across various industries. Ancoris was recognized as a Leader for Data, Analytics, and Machine Learning in the ISG Provider Lens for Google Cloud Partner Ecosystem in 2024, and a Rising Star in 2022 and 2023. Sundown is accredited as an Azure Expert … come first. That's why you'll have access to private medical insurance, employee assistance programmes, group life assurance, income protection and access to a market leading benefits platform. Learning & development. We will support you in your growth journey and cover the costs of your role-based certifications. We have first hand experience that diversity encourages creativity and innovation More ❯

experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). … Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football More ❯

years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. The Process A data task: Process raw data and More ❯

Blazor (web) REST APIs, microservices, Docker CI/CD pipelines, DevOps, Terraform Organised, detail-oriented, and comfortable with deadlines Excellent communication and problem-solving skills Bonus Skills Interest in Machine Learning/AI Familiarity with OsiSoft PI , ArcGIS , or cloud platforms Experience with Real Time systems or data-driven optimisation Why Join? Work on globally used software with More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

as the main point of contact for senior stakeholders across marketing, product, technology, and operations. Ensure high standards in project delivery, governance, and impact measurement. Drive adoption of modern machine learning methods and emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer More ❯

as the main point of contact for senior stakeholders across marketing, product, technology, and operations. Ensure high standards in project delivery, governance, and impact measurement. Drive adoption of modern machine learning methods and emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer More ❯

as the main point of contact for senior stakeholders across marketing, product, technology, and operations. Ensure high standards in project delivery, governance, and impact measurement. Drive adoption of modern machine learning methods and emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer More ❯

fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does More ❯

fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does More ❯

as the main point of contact for senior stakeholders across marketing, product, technology, and operations. Ensure high standards in project delivery, governance, and impact measurement. Drive adoption of modern machine learning methods and emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer More ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product More ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product More ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product More ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product More ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product More ❯