551 to 575 of 3,713 Machine Learning Jobs in England

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this More ❯

into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data … in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You’ll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). … and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where More ❯

and deliver scalable data and AI solutions across internal and client projects. You'll own the full data life cycle - from ingestion and processing to deployment and monitoring of machine learning models - while leading a small, high-performing team. What You'll Do Build and maintain data pipelines and cloud infrastructure (AWS/GCP). Develop AI-driven More ❯

design and deliver scalable data and AI solutions across internal and client projects. You’ll own the full data lifecycle — from ingestion and processing to deployment and monitoring of machine learning models — while leading a small, high-performing team. What You’ll Do Build and maintain data pipelines and cloud infrastructure (AWS/GCP). Develop AI-driven More ❯

projects that turn creative ideas into working prototypes.We’re looking for a Software Engineer who can work across the full stack and bring ideas to life alongside Product Managers, Machine Learning Engineers and Data Scientists. You’ll be part of a small, agile team delivering 4–6 week AI projects that explore the next generation of intelligent applications. More ❯

Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. This is a hands-on role … environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Collaborate with customers and stakeholders to understand operational constraints and align on solution design Mentor … continuous improvement of delivery practices, internal tooling, and knowledge sharing across teams What We’re Looking For Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure More ❯

Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. This is a hands-on role … environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Collaborate with customers and stakeholders to understand operational constraints and align on solution design Mentor … continuous improvement of delivery practices, internal tooling, and knowledge sharing across teams What We’re Looking For Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure More ❯

Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. This is a hands-on role … environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Collaborate with customers and stakeholders to understand operational constraints and align on solution design Mentor … continuous improvement of delivery practices, internal tooling, and knowledge sharing across teams What We’re Looking For Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure More ❯

Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. This is a hands-on role … environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Collaborate with customers and stakeholders to understand operational constraints and align on solution design Mentor … continuous improvement of delivery practices, internal tooling, and knowledge sharing across teams What We’re Looking For Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure More ❯

Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. This is a hands-on role … environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Collaborate with customers and stakeholders to understand operational constraints and align on solution design Mentor … continuous improvement of delivery practices, internal tooling, and knowledge sharing across teams What We’re Looking For Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure More ❯

progression as the data team expands. Hybrid working with 3 days a week in our central London office. Annual learning budget for technical training, conferences, and AI/ML development. More ❯

projects. Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance More ❯

the long-term innovation roadmap. Team Leadership & Development Lead and mentor a team of data and AI architects , fostering a culture of collaboration, technical excellence, and innovation. Drive continuous learning and skill development in the data and AI domains. Qualifications Minimum Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems , or a related field. 12+ years of …/NoSQL databases , data security , and performance optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯

the long-term innovation roadmap. Team Leadership & Development Lead and mentor a team of data and AI architects , fostering a culture of collaboration, technical excellence, and innovation. Drive continuous learning and skill development in the data and AI domains. Qualifications Minimum Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems , or a related field. 12+ years of …/NoSQL databases , data security , and performance optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯

the long-term innovation roadmap. Team Leadership & Development Lead and mentor a team of data and AI architects , fostering a culture of collaboration, technical excellence, and innovation. Drive continuous learning and skill development in the data and AI domains. Qualifications Minimum Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems , or a related field. 12+ years of …/NoSQL databases , data security , and performance optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯

the long-term innovation roadmap. Team Leadership & Development Lead and mentor a team of data and AI architects , fostering a culture of collaboration, technical excellence, and innovation. Drive continuous learning and skill development in the data and AI domains. Qualifications Minimum Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems , or a related field. 12+ years of …/NoSQL databases , data security , and performance optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯

the long-term innovation roadmap. Team Leadership & Development Lead and mentor a team of data and AI architects , fostering a culture of collaboration, technical excellence, and innovation. Drive continuous learning and skill development in the data and AI domains. Qualifications Minimum Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems , or a related field. 12+ years of …/NoSQL databases , data security , and performance optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯

CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau, Power BI). Exposure to machine learning or AI frameworks in financial modeling is a plus. A collaborative, team-oriented mindset with a passion for continuous learning and innovation. *PGIM welcomes all applicants More ❯

and doing this alongside an experienced team. JOB PURPOSE We are looking for an AI Consultant who not only knows exactly how to create impact with algorithms, big data, machine learning, and generative AI, but can also translate our tech offerings to our current and future clients as well as our wider digital marketing teams internally. As an … parents. Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

and doing this alongside an experienced team. JOB PURPOSE We are looking for an AI Consultant who not only knows exactly how to create impact with algorithms, big data, machine learning, and generative AI, but can also translate our tech offerings to our current and future clients as well as our wider digital marketing teams internally. As an … parents. Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is More ❯