376 to 400 of 11,033 Machine Learning Jobs in the UK

and improvement. Implement changes to enhance efficiency, reliability, and scalability. Technical Leadership and Mentorship: Provide mentorship and leadership to the data engineering team, fostering a culture of collaboration, continuous learning, and innovation. Guide and support data engineers in their professional development and ensure adherence to best practices. Advisor Role: Serve as a trusted advisor to the Director of Data … Strong verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders and collaborate effectively with diverse teams and clients. Preferred Skills: Knowledge of machine learning and AI technologies. Experience with big data tools and techniques. Familiarity with data visualization tools and reporting software. Builds open and trusting relationships Acts in the organisation More ❯

and improvement. Implement changes to enhance efficiency, reliability, and scalability. Technical Leadership and Mentorship: Provide mentorship and leadership to the data engineering team, fostering a culture of collaboration, continuous learning, and innovation. Guide and support data engineers in their professional development and ensure adherence to best practices. Advisor Role: Serve as a trusted advisor to the Director of Data … Strong verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders and collaborate effectively with diverse teams and clients. Preferred Skills: Knowledge of machine learning and AI technologies. Experience with big data tools and techniques. Familiarity with data visualization tools and reporting software. Builds open and trusting relationships. Acts in the organisation More ❯

management. You can stay technically-focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously, and will make … with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir More ❯

data-related requirements, contributing to strategic planning and execution. Architect and develop data solutions, spanning from backend infrastructure to data model design and the implementation of data science and machine learning algorithms. Lead development activities, mentor team members and share your knowledge in a context of continuous improvement. Continuously enhance the quality of our tools and applications through More ❯

data-related requirements, contributing to strategic planning and execution. Architect and develop data solutions, spanning from backend infrastructure to data model design and the implementation of data science and machine learning algorithms. Lead development activities, mentor team members and share your knowledge in a context of continuous improvement. Continuously enhance the quality of our tools and applications through More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at 'going the extra mile' to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at 'going the extra mile' to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at 'going the extra mile' to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

and improvement. Implement changes to enhance efficiency, reliability, and scalability. Technical Leadership and Mentorship: Provide mentorship and leadership to the data engineering team, fostering a culture of collaboration, continuous learning, and innovation. Guide and support data engineers in their professional development and ensure adherence to best practices. Advisor Role: Serve as a trusted advisor to the Director of Data … Strong verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders and collaborate effectively with diverse teams and clients. Preferred Skills: Knowledge of machine learning and AI technologies. Experience with big data tools and techniques. Familiarity with data visualization tools and reporting software. Personal qualities: Builds open and trusting relationships Acts in More ❯

stability. Advanced proficiency in one or more programming languages. Advanced knowledge of software applications and technical processes, with deep expertise in one or more technical disciplines (e.g., cloud, AI, machine learning, LLM). Ability to independently troubleshoot design and functionality issues with minimal oversight. Preferred Qualifications, Capabilities, and Skills Extensive hands-on experience and certification in AWS and More ❯

collaborate with other Capgemini teams within Group. YOUR PROFILE Capgemini Invent DNA Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at 'going the extra mile' to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … for their applicability to key business challenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

activities for team understanding. Develop and uphold best practices in data engineering and analytics following Agile DevSecOps methodologies. Experience Requirements: Strong analytical skills, including statistical analysis, data visualization, and machine learning techniques. Proficiency in programming languages such as Python, R, and Java. Experience in building modern data pipelines and ETL processes with tools like Apache Kafka and Apache More ❯

in one or more Javascript framework, React, Angular etc. A strong understanding of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and a solutions-focused mindset. Desirable More ❯

growth in a sell and deliver professional services market focused on data management and advanced analytics Data Estate Modernization, Generative AI, Cloud Data Platforms, Advanced Analytics, and AI/ML projects. Adept at eliciting and articulating data, advanced analytics, Generative AI, and AI/ML use cases. Must have experience building business cases/value realization models to illustrate business … seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at ‘going the extra mile’ to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

opportunities, and to collaborate with other Capgemini teams within Group. YOUR PROFILE Highly collaborative within cross-functional teams, able to coach peers, and drive team cohesion. Passion for continuous learning and a desire to develop expertise in workplace technologies. Bold and proactive at ‘going the extra mile’ to increase your impact within Capgemini, as entrepreneurial spirit is rewarded. Business … self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models, learning patterns and applications. Understanding on how to ensure solutions comply with security standards and regulatory requirements. Some experience implementing security measures to protect data and maintain compliance. Some of … vector databases) for their applicability to keybusinesschallenges. Defining solution requirements via business analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning More ❯

solutions with business goals. Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience: 3-5 years of experience in AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data … Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model training and More ❯

the team. Why Join? Collaborate with a skilled, multidisciplinary team on a modern SaaS data and search platform Get involved with cutting-edge areas such as vector search and machine learning Thrive in a culture that encourages experimentation, innovation, and continuous improvement What’s in It for You? Competitive compensation and benefits Flexible remote-first setup with periodic More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Experience using R and NLP … or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Experience using R and NLP … or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. More ❯

will have plenty of opportunity to have enormous impact on the firm. We are actively engaged with the broader technology community. We host and sponsor London’s PyData and Machine Learning Meetups We open-source some of our technology. See ; We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. … guitars, ping-pong and table-football, and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most More ❯

to detail. Strong communication skills and the ability to work collaboratively in a team environment. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of machine learning techniques and frameworks. Experience with version control systems (e.g., Git). Familiarity with big data technologies (e.g., Snowflake, Hadoop, Spark) #J-18808-Ljbffr More ❯

AI Implementation Chapter is seeking a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML solutions and ensuring implementation of AI initiatives across the Fitch Ratings organization. You will manage a team of 2-3 engineers, blending hands-on technical work with leadership responsibilities, while … with product squads, business partners, and cross-functional teams to integrate advanced AI solutions into flagship Fitch Ratings products and workflows. The AI Chapter’s team objectives: Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient and secure development and deployment … of AI Establish and maintain guidelines and processes for AI/ML governance How You’ll Make an Impact: Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language More ❯

real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark , Databricks , or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or More ❯

whatever way works best for you. Job Description We are looking for a Senior Big Data Engineer to join our cross-functional AI Forecasting team. You will collaborate with machine learning engineers and scientists to solve problems and productionise innovative solutions leveraging cutting-edge technology. ASOS Technology is transitioning towards a product operating model, supporting our global growth More ❯