101 to 125 of 160 Feature Engineering Jobs in the UK

forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data … Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams. Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business ...

experimental output computationally actionable. Relocation? Yes Compensation £50k-£70k, depending on experience, plus equity & benefits Location London Reports To Saif Ur-Rehman (Director, Data Engineering) Responsibilities Multi-omic data analysis and interpretation. You own the computational analysis of datasets generated by our wet lab (metagenomics, metabolomics, 16S), from … feature extraction through statistical analysis and biological interpretation. Computational studies. You run your own proof-of-concept investigations: microbiome-compound interactions, community dynamics, predictive biomarkers. You're a scientist with hypotheses, not a technician with a task list. Perturbation data quality. You own the validation layer between the bench ...

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 ...

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 ...

Solutions Architect Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Alistair Rogers Compensation: £70,000 - £100,000/year Description We're building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances … protecting people and critical assets in demanding environments. Headquartered in Bristol, Rowden employs around 200 people and operates over 20,000 square feet of engineering and manufacturing facilities. We have a growing international footprint and are one of Europe's fastest-growing engineering businesses. About the role ...

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 ...

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). ...

design and deliver advanced data solutions on cloud platforms. You'll build scalable data pipelines, ensure data quality, and enable AI feature engineering for analytics and intelligent applications. Role requires hands-on expertise in data engineering, AI integration, governance, and enterprise-scale security. Hybrid UK model with ...

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: Office location – London … Horsham, 3 days a week. Build and automate ML 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 ...

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: Office location – London … Horsham, 3 days a week. Build and automate ML 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 ...

world's money. For everyone, everywhere. Join us as a Senior Software Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. How we work … skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. ...

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 ...

working with large-scale customer, transactional, behavioural, or marketing datasets Understanding of machine learning techniques and analytical product development Knowledge of data modelling and feature engineering principles Ability to communicate complex analytical concepts to non-technical audiences Experience working directly with clients or customer-facing stakeholders Strong problem ...

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 ...