1 to 25 of 119 Feature Engineering Jobs in the UK excluding London

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services … you will be unable to work at home 100% of the time. Your role • Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. • Perform feature engineering and selection to optimize model performance. • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. • Train, evaluate, and optimize models using More ❯

and translate them into scalable AI/ML and data-driven solutions. Key responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Train, evaluate, and optimize models using More ❯

while collaborating with cross-functional teams to shape the future of connectivity. Key responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Train, evaluate, and optimize models using More ❯

and translate them into scalable AI/ML and data-driven solutions. Key responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Deploy models to production environments, ensuring … technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is More ❯

cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production More ❯

cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production More ❯

cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production More ❯

AI/ML solutions. KEY RESPONSIBILITIES: In this role, you will be responsible for: Designing, developing, and deploying AI/ML models and solutions, including LLMs and GenAI. Performing feature engineering and selection to optimize model performance. Selecting and implementing appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Training, evaluating, and optimizing models using More ❯

infrastructure (e.g., connected buildings, utilities) or industrial automation (e.g., SCADA, PLC systems, Industry 4.0). They should have a strong understanding of how to apply data science and data engineering techniques to develop, validate, and enhance AI/ML models within these complex and data-rich environments. Job Description Essential Responsibilities: Design and conduct experiments to test and validate … results, insights, and recommendations clearly to stakeholders, including product managers and leadership teams. Must-Have Requirements PhD, Master’s, or Bachelor’s degree in Data Science, Computer Science, Electrical Engineering, or a related field with hands-on experience in model validation. Significant experience working in the energy sector, particularly in energy systems, grid automation, or smart grid technologies. Solid … knowledge of statistical techniques, model performance metrics, and validation methodologies for AI/ML models. Proficiency in programming languages such as Python, R, or MATLAB. Experience with data wrangling, feature engineering, and preparing datasets for model validation. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model evaluation techniques. Experience with cloud platforms (e.g., AWS, Azure More ❯

models for image classification problems Collaborate with a co-located team of Software Engineers to ensure seamless integration of models into production environments. Conduct exploratory data analysis, data preprocessing, feature engineering to uncover insights and guide model development. Stay up-to-date with the latest advancements in deep learning and AI technologies and apply them to real-world More ❯

sector, specifically in energy systems and grid automation, or related domains such as smart infrastructure or industrial automation. They should have a strong understanding of applying data science and engineering techniques to develop, validate, and improve AI/ML models in complex, data-rich environments. Essential Responsibilities: Design and conduct experiments to test and validate AI/ML models … deployment. Ensure validation processes adhere to data governance policies and standards. Communicate validation results and insights clearly to stakeholders. Must-Have Requirements: Degree in Data Science, Computer Science, Electrical Engineering, or related field with experience in model validation. Experience in the energy sector, especially in energy systems or grid automation. Proven experience validating AI/ML models to meet … requirements. Strong knowledge of statistical techniques and validation methodologies. Proficiency in Python, R, or MATLAB. Experience with data wrangling, feature engineering, and dataset preparation. Knowledge of machine learning frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and deploying models. Ability to use data visualization tools like Tableau or Power BI. Nice-to-Have More ❯

Social network you want to login/join with: Head of Data Engineering & Analytics, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Company Description AlTi Tiedemann Global (“AlTi”) is a NASDAQ listed global wealth manager … you share our passion for ideas and commitment to excellence, we want you to join us. To learn more visit alti-global.com. Job Description & Overview The Head of Data Engineering & Analytics will lead the development and execution of AlTi’s enterprise data engineering strategy, enabling the capture, transformation, storage and delivery of high-quality data across the firm … s global wealth, investment, corporate and asset management functions. This leader will architect and scale data engineering capabilities to support real-time and batch integration, reporting, and advanced analytics. This role reports to the CTO and will be a key member of the Global Technology Solutions leadership team. In this hands-on leadership role, you will work at the More ❯

experience in AI, machine learning, or data science. Proficiency in Python and experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn . Strong understanding of data analysis , feature engineering , and model evaluation techniques, particularly with retail and consumer-facing data. Passion for AI and the retail industry, with a desire to help businesses improve operational efficiencies 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Senior Data Scientist (Engineering Technologies) Join to apply for the Senior Data Scientist (Engineering Technologies) role at Jet2.com and Jet2holidays Senior Data Scientist (Engineering Technologies) 4 days ago Be among the first 25 applicants Join to apply for the Senior Data Scientist (Engineering Technologies) role at Jet2.com and Jet2holidays We’re seeking a Senior Data Scientist … to join our Jet2 Data Science team, specifically to work with our Airline Engineering team based at Leeds Bradford International Airport. Our Senior Data Scientist will be responsible for the delivery of key initiatives capable of realising significant value, combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. … This exciting new role focuses on driving innovation within our engineering and maintenance operations, playing a critical role in executing our engineering data and analytics strategy. You’ll join an established and growing team of Data Science professionals and be based within Engineering Technologies, who are leveraging the use of data-driven insights and innovative technologies to More ❯

learning algorithms and frameworks. Proven experience with Python, TensorFlow, PyTorch, or similar tools. Expertise in developing and deploying machine learning models in a production environment. Experience with data preprocessing, feature engineering, and model evaluation. Proficiency in handling large datasets and optimizing model performance. Knowledge of cloud platforms such as AWS, GCP, or Azure. Excellent English communication skills (written … include: Leading the development and deployment of machine learning models. Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. Conducting data analysis and feature engineering to improve model accuracy. Implementing scalable machine learning solutions on cloud platforms. Keeping abreast of the latest developments in AI and machine learning to incorporate best practices More ❯

platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services). Drive data quality, governance, lineage, and … security standards across enterprise data pipelines. Mentor engineering teams and lead best practice adoption across data architecture, orchestration, and DevOps tooling. Participate in technical workshops, executive briefings, and architecture reviews to evangelize GCP data capabilities. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field. 12+ years of experience in data … architecture and data engineering with proven skills and leadership in large-scale cloud data programs. 5+ years of advanced expertise in Google Cloud data services: Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Hands-on experience with orchestration tools like Apache Airflow or Cloud Composer. Hands-on experience with one or more of the following GCP data More ❯

improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production … heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to explain complex findings clearly to both technical and non-technical More ❯

improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production … heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to explain complex findings clearly to both technical and non-technical More ❯

improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production … heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to explain complex findings clearly to both technical and non-technical More ❯

improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production … heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to explain complex findings clearly to both technical and non-technical More ❯