51 to 75 of 234 Feature Engineering Jobs in England

apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to … years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to More ❯

apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to … years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to More ❯

apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to … years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to More ❯

apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. Actively contribute to … years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. Solid understanding of basic statistics and how to More ❯

apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. Take ownership of end-to-end ML model development—from data preprocessing and feature engineering to training, testing, and deployment. Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. Actively contribute to … years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. Solid understanding of basic statistics and how to More ❯

AI projects. Your work will directly impact our AI initiatives, contributing to innovative solutions. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Databricks and Azure services. Perform feature engineering, report preparations, and ML tasks. Collaborate with data scientists, ML engineers, and other stakeholders to deliver data solutions. Work with the Data & Analytics Team on data infrastructure … Development. Ensure data accuracy and consistency across sources. Optimize data workflows for performance. Implement data security and privacy best practices. Monitor and troubleshoot data pipelines. Stay updated on data engineering and AI trends. Document data processes and standards. Test and validate solutions for quality assurance. Qualifications: Proven experience as a Data Engineer, especially with data pipelines. Proficiency in Python … Excellent communication and teamwork skills. Preferred Skills: Experience with data visualization tools. Knowledge of machine learning frameworks and libraries. Understanding of data warehousing and data governance. Certification in data engineering or related fields. Benefits of working at SoftwareOne: Work-Life Harmony with hybrid work and extra vacation days. Career development through feedback and transparent career paths. Focus on competencies More ❯

wants to enhance their skills in a fast-paced business environment. Role Responsibilities As a Data Scientist you will be responsible for: Driving data within Cromwell Data set generation, feature engineering & developing ML models that are repeatable, dynamic, and scalable. Developing, monitoring & maintaining AI-driven processes within the business Supporting with monitoring & maintaining productionised models, identifying, and developing … of data driven decision making focusing on the “how and why” of solving problems. Managing relationships Engaging with business stakeholders to problem solve with data. Collaborating with the data engineering team to improve data accessibility. Supporting analytics teams to effectively present data-driven insights and recommendations to stakeholders. Role Requirements Experience and Knowledge: Degree (or equivalent) Post graduate degree More ❯

generative AI is essential. The role requires proficiency in MLOps practices, especially in deploying production applications in cloud environments like AWS or Azure. Experience with generative AI tools, prompt engineering, model fine-tuning, and selecting appropriate models for specific tasks is highly desirable. You will also be responsible for data gathering, cleaning, preprocessing, feature engineering, and developing More ❯

scikit-learn, PyTorch, TensorFlow), Proven ability to deliver data science projects with measurable outcomes, Strong grounding in statistics, modelling, or applied mathematics, Experience with real-world data: cleaning, preprocessing, feature engineering, and evaluation, Ability to communicate technical concepts clearly to both technical and non-technical stakeholders, Demonstrated interest in building solutions - not just models - that solve real problems. … Referral’ and enter your contact's Kyndryl email address. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Analyst, Information Technology, and Engineering Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Kyndryl by 2x Get notified about new Data Scientist jobs in Warwick, England, United Kingdom . … weeks ago Birmingham, England, United Kingdom 1 week ago Birmingham, England, United Kingdom 2 weeks ago Coventry, England, United Kingdom 2 weeks ago Artificial Intelligence/Machine Learning Engineering Lead Coventry, England, United Kingdom 4 days ago Birmingham, England, United Kingdom 3 weeks ago Python Developer - Up to £60,000 - ID37652 Birmingham, England, United Kingdom 6 days ago Research More ❯

Qualifications: PhD in a relevant discipline or Master’s plus a comparable level of experience Experience in Knowledge Graphs or Large Document Search Experience with traditional ML models and feature engineering. Strong Experience with fine tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with … modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration! Seniority level Seniority level Mid-Senior level Employment type Employment type Contract Job function Job function Information Technology Industries Staffing and Recruiting Referrals increase More ❯

and impactful data-driven solutions to real-world problems. A working knowledge of the state-of-the-art methods and best practices in data science, such as data preprocessing, feature engineering, model selection, validation, evaluation, and deployment. Ability to incorporate approaches from published academic papers into solutions/options. We will also be looking for a behavioural skillset … with Spring activity days, Christmas events, a 2-day Summer event and 4 Newton-sponsored weekends a year. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Business Consulting and Services #J-18808-Ljbffr More ❯

scikit-learn, PyTorch, TensorFlow), Proven ability to deliver data science projects with measurable outcomes, Strong grounding in statistics, modelling, or applied mathematics, Experience with real-world data: cleaning, preprocessing, feature engineering, and evaluation, Ability to communicate technical concepts clearly to both technical and non-technical stakeholders, Demonstrated interest in building solutions - not just models - that solve real problems. More ❯

We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role We are looking for a MLOps Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists … the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a MLOps Engineering Manager at Trainline you will Build a new team of MLOps Engineers working alongside ML Engineers, Data Engineers, Software Engineers, Data Scientists and Product Managers Define MLOps processes and … machine learning products Ensure delivery of high-quality, scalable and maintainable machine learning models and AI Systems that drive measurable impact for our business Act as a bridge between engineering and data, ensuring engineering standards are met while understanding the specificities of data, AI and machine learning challenges Take an active part in our AI and ML community More ❯

or data scientist, with a track record of leading successful AI projects Proficiency in AI and machine learning frameworks and programming languages (e.g., Python) Strong expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving and critical-thinking skills Effective leadership, communication, and team management abilities A passion for staying at the forefront of AI and … set job alerts for “Head of Artificial Intelligence” roles. London, England, United Kingdom 2 weeks ago Head of AI Technology - AI Innovation Team - Head of Data Science & Data Software Engineering London, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 month ago … year USD London, England, United Kingdom $50.00-$50.00 1 day ago London, England, United Kingdom 1 week ago Senior Manager, Developer Relations and Ecosystem Marketing, EMEA Ubuntu Enablement - Software Engineering Manager London, England, United Kingdom 2 months ago Global Finance Director, Trilogy (Remote) - $400,000/year USD Dartford, England, United Kingdom $200.00-$200.00 1 day ago Artificial Intelligence More ❯

data scientist, with a track record of leading successful AI projects. Proficiency in AI and machine learning frameworks and programming languages (e.g., Python). Strong expertise in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving and critical-thinking skills. Effective leadership, communication, and team management abilities. A passion for staying at the forefront of AI and More ❯

success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US … meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this More ❯

success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US … meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this More ❯

success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US … meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this More ❯

or data scientist, with a track record of leading successful AI projects Proficiency in AI and machine learning frameworks and programming languages (e.g., Python) Strong expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving and critical-thinking skills Effective leadership, communication, and team management abilities A passion for staying at the forefront of AI and … OTE) Greater London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago Head of AI Technology - AI Innovation Team - Head of Data Science & Data Software Engineering London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 months ago London … United Kingdom 2 weeks ago Head of Systems Implementation – Pricing & Market Access (NAVLIN) London, England, United Kingdom 1 week ago London, England, United Kingdom 5 days ago Director of Engineering – Core Services, Platform & Developer Experience London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 days ago Linux Enablement - Software Engineering Manager London, England, United Kingdom More ❯

Pipeline Development – Design, build, and maintain scalable ELT pipelines using Azure Databricks, Azure Data Factory (ADF), and Delta Lake to automate real-time and batch data ingestion. Cloud Data Engineering – Develop and optimise data solutions within Azure, ensuring efficiency, cost-effectiveness, and scalability, leveraging Azure Synapse Analytics, ADLS Gen2, and Databricks Workflows Data Modelling & Architecture – Implement robust data models … for big data processing and automation. Experience with Scala (optional but preferred for advanced Spark applications). Experience working with Databricks Workflows & Jobs for data orchestration. Strong knowledge of feature engineering and feature stores, particularly in Databricks Feature store for ML training and inference. Experience with data modelling techniques to support analytics and reporting. Familiarity with More ❯

and statistical modeling, with excellent communication skills to translate data insights into actionable recommendations. You should be comfortable working independently in a fast-paced, ambiguous environment. Key Responsibilities Perform feature engineering on large datasets, conduct exploratory data analysis, and build models using time series forecasting techniques such as ARIMA, ARIMAX, Holt Winter, and ensemble methods. Apply supervised learning … and unsupervised algorithms (k-means, PCA, market basket analysis). Solve optimization problems related to inventory and network optimization, with hands-on experience in linear programming. Collaborate with business, engineering, and partner teams to align focus areas and deliver insights. Address unstructured problems with a detail-oriented approach, owning tasks from start to finish. Develop data sets and models More ❯

and present at conferences on genetics and genomics in drug discovery. ● Ph.D. or M.Sc. with relevant research experience in fields such as Computer Science, Computational Biology, Genetics, Bioinformatics, Physics, Engineering, or Applied Statistics/Mathematics. ● Prior ML research experience in academic or scientific environments (internships/RA considered). ● Strong Python skills, including libraries like Scikit-Learn, SciPy, TensorFlow … and PyTorch. ● Expertise in designing, training, and deploying ML models. ● Experience handling large datasets, data cleaning, feature engineering, and augmentation. ● Experience with high-performance computing and GPU training. ● Knowledge of NLP and transformer models like BERT and GPT. ● Familiarity with generative models such as diffusion and flow matching. ● Good software development practices, including version control and package management. More ❯

Why we need this role Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial … from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial mindset and a can-do … attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. Strong academic research background with a proven track record of accomplishments. Knowledge of graph databases More ❯

development and design principles as well as best practice (e.g. testing, performance tuning, source control, peer review). Create and maintain analytical model related documentation (e.g. solution design documentation, feature engineering design, details on experiments) Manage and deliver ad-hoc analytics requests from business stakeholders. In terms of the performance and personal competencies required for the position, the … Ability A deep understanding of data science, analytics platforms/ML domains, especially GenAI and NLP. Experience with frameworks (eg. PyTorch, TensorFlow, or JAX) and LLM’s (e.g. prompt engineering, fine tuning, RAG). Experience building and fine-tuning various ML Models (supervised and unsupervised models, classification, clustering, regression etc) Hands on experience with common ML libraries such as More ❯

thrive in a collaborative, innovative environment, we would love to hear from you. End to End delivery You’ll be responsible for scoping the brief with stakeholders, data gathering, feature engineering, & model delivery right through to stakeholder model presentation. Data analysis and modelling: Utilise statistical and experimental techniques, predictive modelling, and machine learning algorithms to analyse large and More ❯