101 to 125 of 674 Machine Learning Jobs in the East of England

a Data Scientist within Semantic Search, you will influence the search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. This role is based out of our London (Farringdon) office, offering the flexibility of hybrid working. Spend three days a week in the … across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individuals' growth as experts in the field. Our team values work-life … Learning components, and associated technologies. Using data to train and fine-tune models. Developing efficient and high-quality code in Software Engineering. Collaborating closely with Search Engineers, ML Engineers, and Data Scientists. Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues. Requirements To excel in this role, we seek individuals with a strong blend More ❯

goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work … field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS services like Redshift, Athena, EMR, and QuickSight. Understanding of data modelling, ETL, data warehousing, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and … statistical tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS ML services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and team collaboration skills. Attention to detail and ability to meet deadlines. Compensation This is More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and pattern analysis. Develop KPIs and create dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work … statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS ML services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is an More ❯

Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications More ❯

Cadence organization. Drive best practices in software development, including code reviews, testing methodologies, and technical documentation. Stay at the forefront of industry trends and emerging technologies in AI and machine learning. Foster an environment of continuous learning, innovation, and technical excellence. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming languages. Proven ability to lead technical teams and manage complex projects. Excellent problem-solving skills and analytical thinking. Outstanding communication and interpersonal More ❯

Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications More ❯

analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive analysis, clustering, and pattern recognition. Develop KPIs, dashboards, and visualizations to support decision-making. Perform exploratory data analysis to uncover trends and insights for … as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, data warehousing, and statistical/machine learning techniques. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Understanding of social media … analytics and user behavior. Familiarity with big data technologies such as Hadoop, Spark, Kafka. Knowledge of AWS machine learning services like SageMaker and Comprehend. Awareness of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is an equity-only position offering a 1% stake, providing a More ❯

using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and pattern analysis. Create dashboards and KPIs using Amazon QuickSight to support decision-making. Perform exploratory data analysis to identify trends and insights for … a Data Scientist, especially with AWS analytics services. Strong skills in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, data warehousing, and statistical/machine learning techniques. Programming proficiency in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical tools. Excellent analytical and problem-solving skills. Experience with social media … analytics and user behavior analysis. Knowledge of big data technologies such as Hadoop, Spark, Kafka. Familiarity with AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Strong communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is an equity-only position, offering a 1% stake in More ❯

data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from various sources into AWS. Apply statistical and machine learning techniques for predictive and pattern analysis. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and inform product … with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and … user behavior analysis. Knowledge of big data technologies such as Hadoop, Spark, Kafka. Familiarity with AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is an equity-only position, offering a 1% stake in a rapidly More ❯

data analysis strategies using AWS services such as Amazon Redshift, Athena, EMR, and QuickSight. Design and implement data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive, prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards and visualizations with Amazon QuickSight. Perform exploratory data analysis … a Data Scientist, especially with AWS analytics services. Strong proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, data warehousing, statistical analysis, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Analytical, problem-solving, and critical thinking skills. Experience with social media analytics … and understanding user behavior. Familiarity with big data technologies such as Hadoop, Spark, Kafka. Knowledge of AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation This is an equity-only position, offering a 1% stake in a More ❯

goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive analysis, clustering, segmentation, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards using QuickSight for decision-making. Perform exploratory data analysis to … Scientist, especially with AWS analytics services. Strong proficiency in AWS tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and … user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This position offers equity only — 1% stake in a rapidly growing company, with the More ❯

using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends … AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and … user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation This is an equity-only position, offering a stake in a rapidly growing company and More ❯

and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to … Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4. Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5. Proficiency in statistical analysis, data mining, and machine learning techniques. 6. Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7. Experience with SQL and NoSQL databases, data visualisation tools … Experience with social media analytics and understanding of user behaviour. 10. Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 11. Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 12. Experience with data governance and security best practices in AWS. 13. Excellent communication and collaboration skills to effectively More ❯

functional teams, you will understand client requirements and develop customized NLP solutions to address their specific needs. By staying up-to-date with the latest advancements in NLP and machine learning research, you will proactively integrate new techniques into existing workflows. Additional responsibilities include mentorship and leadership, successful deliverables, and project and community leadership. Essential Skills/Experience … Advanced Academic Credentials: PhD or equivalent experience in Machine Learning/NLP. - Senior Industry Experience: Extensive industry experience, particularly in senior or leadership roles, demonstrating a robust understanding of NLP challenges and solutions. - Proficiency in Python: Advanced knowledge of Python - Advanced Problem-Solving Skills: Exceptional problem-solving abilities in the area of machine learning and NLP. More ❯

stages of the data science process. You’ll help to formulate problems, extract, and prepare data, apply modelling, and then deploy the solution. Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science Practice. Join us, and you … field - Mathematics, Statistics, Computer Science Ideally you will bring experience of solving complex non-routine problems; along with expertise in some, if not all, of the following areas: Statistics, Machine Learning, Deep Learning & GenAI You will have experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally More ❯

Electronic Lab Notebooks (ELNs), and commercial digital orchestration software. Experience with cloud computing platforms and services (e.g., GCP, AWS, Azure). Strong understanding of automation technologies, including robotics, AI, machine learning, and data analytics. Nice to Have Skills & Experience Familiarity with programming languages such as Python, R, C#, or Java. More ❯

you want to login/join with: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery … management skills, with the ability to liaise between clinicians, vendors, and technical teams. Experience with hybrid data solutions, integrating on-premise and cloud data architectures. Background in data analytics, machine learning, and AI-driven insights for healthcare applications. Knowledge of NHS Digital initiatives, including Shared Care Records, the NHS App, and Population Health projects. Certifications in Azure Data More ❯