126 to 150 of 183 Feature Engineering Jobs in the UK

expand their machine learning skills. Responsibilities Create statistical summaries to support hypothesis testing and data-driven decisions during EDA Implement data preparation and feature engineering pipelines for the models Plan and implement algorithms for predictive modeling. Provide continuous improvement of models in production Lead the ML-driven python ...

Solid Python programming skills and understanding of machine learning fundamentals. Growing familiarity with AI technologies, particularly LLMs and Azure OpenAI. Experience with data preparation, feature engineering, and model evaluation. Good communication skills and ability to explain technical concepts to non-technical audiences. A commitment to Movar's IDEAL ...

algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production ...

machine learning models and AI solutions that contribute to measurable impact for Trainline Get involved across the machine learning delivery lifecycle, including data exploration, feature engineering, model selection and evaluation Collaborate with stakeholders to help shape data products that make good use of Trainline's extensive datasets Contribute ...

economic return optimization. You’ll develop calibration frameworks, ensure compliance with regulatory and fairness standards, and explore novel methodologies — including LLMs for explainability and feature engineering. Collaborating with cross-functional teams, you’ll translate modeling insights into strategic credit policies and business value, while mentoring junior team members ...

payments data sources Develop secure, high-quality production code in Python, and review and debug code written by others Build data pipelines and feature engineering jobs on Databricks to prepare payments data for model training and agent retrieval Contribute to the MLOps path for optimization and prediction models … model services Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts and applied experience Hands‐on practical experience in system design, application development, testing, and operational stability Proficiency in Python and coding ...

move more freely between more people , making the online shopping experience seamless and accessible to everyone. THE TEAM ~110 people , more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every … Work with team members across the business to understand their data needs and deliver solutions Shape our practices — Help define and evolve our analytics engineering processes and standards as we scale What We're Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst ...

/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. Deep understanding of the GenAI landscape ...

BigQuery to build and support high-performance models at scale. What you'll do Contribute to the full model lifecycle , from initial discovery and feature engineering through to production, experimentation, and continuous monitoring. Design and refine real-time ML systems that reduce false positives and ensure a smooth ...

Data Scientist to drive production‐ready ML solutions that impact business outcomes. You will translate complex data challenges into scalable models, spanning data extraction, feature engineering, experimentation, and deployment. You will work closely with Product, Engineering and Marketing to optimize campaigns, improve user experiences, and inform strategic … decisions, while maintaining engineering rigor and robust ML ops practices. #J-18808-Ljbffr ...

Monitoring (TM)solution, you will own the tactical execution of features in an enterprise-grade AML/CLMplatform.You’llwork closely with cross-functional teams (engineering,customers, productmanagersandclient solutions) to deliver mission-critical capabilities:detectionengines,AI models,AI agents,tuning & calibration,alertand case managementUX, audit and reporting. You will translate … evolving threatsusing ground-breaking technology. Key Responsibilities Decompose high-level features/requirementsinto user stories, acceptance criteria, and clear backlog prioritization. Collaborate with engineering, data science, andsolutions teamsto deliver high-quality TM features (real-time and batch pipelines,detection analytics,alert scoring,alert/case creation, feedback loops). ...

Build and maintain end-to-end ML pipelines covering data preparation, experimentation, training, evaluation, deployment, monitoring, and optimisation. Develop large-scale data processing and feature engineering solutions using technologies such as PySpark and Databricks. Create multimodal machine learning models that combine image, text, metadata, and behavioural data … productionise innovative machine learning solutions. YOUR KEY SKILLS Significant experience designing, deploying, and supporting machine learning systems in production environments. Strong Python software engineering expertise, including testing, code quality, and maintainable application development. Proven experience working with large-scale data processing technologies such as PySpark and Databricks. Strong background ...

Skills & Experience Required – Technical Either MSc in Statistics or a related field (e.g., Data Science or Mathematics), or another field (such as Computer Science, Engineering, Finance, etc) with some experience in statistics and 3+ years of work experience in a relevant role (e.g. sports quantitative analyst for a betting … exchange); or a PhD or equivalent in Statistics or a related field (e.g., Data Science or Mathematics), or another field (such as Computer Science, Engineering, Finance, etc) with some experience in statistics Extensive experience of probabilistic and statistical modelling Model diagnostics: Ability to evaluate predictive model performance using appropriate ...

software and technical infrastructure. The role involves the development and maintenance of sophisticated tools for alpha research along with the production systems used in feature engineering, portfolio construction, and trade execution. Location London Principal Responsibilities Develop sophisticated research tooling to enable and accelerate alpha discovery. Develop real-time … etc. DevOps: version control, testing frameworks, release processes, build systems. Excellent communication, problem-solving, and analytical skills. Preferred Experience Extremely strong computer science or engineering background with 5+ years of experience. Experience designing and implementing: Distributed Systems. Real-time event-driven systems. Large-scale time series data ingress, storage ...

help build and run production-ready ML systems that make a real impact across the business. You’ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable solutions, and driving innovation while growing your career. You’ll make an impact by: Build and automate … pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow. Productionise Data Science models, converting notebooks into modular, tested, production-ready code. Deploy models into batch and real-time environments, managing versioning, promotion, rollback, and scheduled workflows via MLflow and APIs. Implement monitoring ...

driven and AI/ML use cases. -Build, train, evaluate, and fine-tune machine learning models for structured and unstructured data. -Perform data analysis, feature engineering, and experimentation to validate hypotheses. -Develop efficient SQL queries for data extraction, transformation, and analysis from relational databases. -Integrate prototypes with APIs ...

related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with the ability to explain technical findings to both technical and non-technical stakeholders. Experience evaluating new datasets ...

/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. Deep understanding of the GenAI landscape ...

extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. Deep understanding of the GenAI landscape ...

advanced ranking models for Depop’s entire app, covering personalised recommendations, search results and other surfaces. Collaborate closely with cross-functional partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes. Lead the end-to-end lifecycle of ML projects: from ideation … data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration. Drive innovation in ranking by researching and integrating emerging ML techniques, frameworks, and tooling, while contributing technical expertise to long-term product and data strategy. Mentor, coach, and set technical direction within the Ranking ML team ...

consumed by portfolio managers and senior investment professionals. The successful candidate will operate at the intersection of machine learning research, quantitative analytics, and AI engineering, contributing to both model development and data infrastructure initiatives. Key Responsibilities Quantitative Machine Learning Research Design, develop, and deploy machine learning models for prediction … remain traceable, auditable, and linked back to source material. Investigate novel applications of generative AI and large language models within quantitative research workflows. Data Engineering and Infrastructure Design and develop scalable data pipelines supporting machine learning and research initiatives. Build processes for data ingestion, cleaning, transformation, and feature ...

Data Scientist to join our Data Practice, delivering enterprise-scale data platforms, analytics and AI-enabled decision support. You will contribute across model development, feature engineering, training and deployment, collaborating with engineers and consultants. Ideal candidates will have 3–5 years in data science, strong Python ...

doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring Build model monitoring frameworks and performance dashboards Explore new data sources, challenger models and A/B testing to improve ...

optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets. Deploy, monitor and maintain machine learning models in production environments, ensuring performance ...

different backgrounds Create and maintain post-trade diagnostics tools across various strategies Qualifications: A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field Experience using AI and LLM’s Passion and interest for a quant researcher role solving real-world business problems … Minimum of two years' experience in alpha generating role Experience working with large datasets, data cleaning, preprocessing, and feature engineering Experience building, validating, deploying, monitoring, and updating predictive models Excellent programming and scripting skills Experience working independently and delivering results Excellent written and oral communication skills, experience communicating ...