1 to 25 of 50 Permanent Feature Engineering Jobs in the UK excluding London

Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing … that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical lifecycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity ...

systems: devices that operate autonomously, make decisions in real time, and remain reliable under the constraints that define actual field deployment. The Challenge The engineering challenge is significant. You will be responsible for the complete lifecycle of machine learning models that run on embedded devices. This means: From Sensor … transform this stream into a robust, real-time classification model that runs on hardware with severe constraints on memory, computation, and power. Engineering Under Constraint. Every machine learning decision you make has downstream consequences for embedded systems. A model that requires 512MB of RAM will ...

operating the platform, pipelines, infrastructure, and datasets that power enterprise reporting, analytics, and AI/ML across the business.This is a senior hands-on engineering role combining deep technical execution with architectural decision-making. You'll set data and AI engineering standards, driving automation and MLOps practice … work across the full Azure Fabric data stack — from ingestion through to feature-ready datasets that enable analysts, data scientists and AI teams to do their best work. You'll partner with architecture, governance, modelling, and analytics teams to deliver end-to-end data and AI engineering products.What ...

operating the platform, pipelines, infrastructure, and datasets that power enterprise reporting, analytics, and AI/ML across the business.This is a senior hands-on engineering role combining deep technical execution with architectural decision-making. You'll set data and AI engineering standards, driving automation and MLOps practice … work across the full Azure Fabric data stack — from ingestion through to feature-ready datasets that enable analysts, data scientists and AI teams to do their best work. You'll partner with architecture, governance, modelling, and analytics teams to deliver end-to-end data and AI engineering products.What ...

operating the platform, pipelines, infrastructure, and datasets that power enterprise reporting, analytics, and AI/ML across the business.This is a senior hands-on engineering role combining deep technical execution with architectural decision-making. You'll set data and AI engineering standards, driving automation and MLOps practice … work across the full Azure Fabric data stack — from ingestion through to feature-ready datasets that enable analysts, data scientists and AI teams to do their best work. You'll partner with architecture, governance, modelling, and analytics teams to deliver end-to-end data and AI engineering products.What ...

natural language processing [NLP]/and neural networks [NN]) you will be part of a small, central function that partners closely with product and engineering teams on a single, shared roadmap, with a one‐team mentality throughout. We take a test‐and‐learn approach: real experiments, time‐boxed … data with external reference sources to support faster, better decisions. Deployment & monitoring. Deploying and monitoring machine learning (ML) models in production, with the engineering discipline to catch drift and issues early. Cross‐team support. Occasional collaboration on NLP/NN‐related work led by our existing senior data scientist ...

community. Please do not contact the recruiter directly. Your Role This role focuses on applying data science, statistics, machine learning, graph analytics, and KPI engineering to enable autonomous network intelligence. The AI Data Scientist will work with network telemetry, alarms, performance counters, inventory data, topology data, trouble tickets, service … network operations. Key Responsibilities Analyse large-scale telecom network datasets across RAN, Core, IP, Transport, SD-WAN, Cloud, OSS, and service domains. Develop KPI engineering models for network performance, service quality, fault behaviour, customer impact, capacity, and resilience. Build statistical and machine learning models for anomaly detection, fault prediction ...

Trust. Using Databricks as the primary development environment, you will build reproducible, auditable analytical workflows in SQL and Python, including data preparation, quality checks, feature engineering and modelling. You will also design and deliver reporting products and dashboards (for example in Power BI) to communicate clear, actionable insight … analytical and predictive models on curated Trust datasets. This includes full responsibility for data preparation activities such as data quality checks, cleansing, preprocessing and feature engineering, ensuring all work follows agreed definitions and is reproducible and auditable. The postholder will create reporting products and dashboards (for example using ...

systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning modelling, large-scale training, and production infrastructure — you’ll take models from idea through to serving at scale, working in Spark, Python, and Java. … automation to move faster, raise the bar, and scale their impact.We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work with ...

systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning modelling, large-scale training, and production infrastructure — you’ll take models from idea through to serving at scale, working in Spark, Python, and Java. … automation to move faster, raise the bar, and scale their impact.We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work with ...

well-positioned to help shape the future of streaming. Continued success relies on building customer relationships with Roku that delight and engage them.Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience … pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can work effectively with engineering, product, data science, and commercial stakeholders across Roku. The successful candidate will display a balance of hard and soft skills, including the ability to respond ...

positioned to help shape the future of streaming. Continued success relies on building customer relationships with Roku that delight and engage them. Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience … pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can work effectively with engineering, product, data science, and commercial stakeholders across Roku. The successful candidate will display a balance of hard and soft skills, including the ability to respond ...

OVERVIEW:This role exists to provide technical leadership within the data engineering team, setting the standard for engineering excellence while remaining deeply hands-on. The Lead Data Engineer drives the design and delivery of scalable, resilient data platforms and pipelines that underpin Gymshark's ambition … Technical Leadership: Own and drive the technical design and architecture of data pipelines, data models, and platform components across the team. Set and enforce engineering standards: code quality, testing, observability, security, and documentation, ensuring the whole team operates to them Lead technical discovery, design sessions, and code reviews, providing ...

positioned to help shape the future of streaming. Continued success relies on building customer relationships with Roku that delight and engage them. Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience … using code for statistical analysis and tool building, using both general‐purpose software and statistical languages. What You’ll Be Doing Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models. Train Machine ...

powered products and customer-facing features • Apply machine learning techniques to solve complex business problems • Support experimentation through modelling, statistical testing and evaluation • Conduct feature engineering and feature analysis to improve model performance • Work closely with Product, Engineering and Analytics teams on high-impact initiatives • Build ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

seeking to hire talented AI Engineers(s) within our AI Scaling and Transformation team, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering.You will work alongside clients, third parties, and Deloitte teams from across the Firm, supporting a wide range of international and market … looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEDegree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essentialStrong technical background, with hands-on experience in developing and deploying ...

with some flexibility, please do discuss it with us.Your roleAs a practitioner in AI&D, you are responsible for delivering AI/ML Engineering on client projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms.AI/… understand business requirements and translate them into robust AI solutions.Design, develop, and implement end-to-end AI pipelines, including data acquisition, pre-processing, feature engineering, model training, evaluation, and deployment.Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation ...

Work With Building and deploying AI and Machine Learning solutions Designing and implementing end-to-end AI and ML pipelines, from data acquisition and feature engineering through to deployment and optimisation Developing scalable ML pipelines and engineering frameworks AI model training, evaluation, optimisation and deployment Cloud-native … stakeholders to understand business challenges and translate requirements into AI solutions Working closely with technical and non-technical teams throughout programme delivery Cross-functional engineering, architecture and data teams Agile software development and delivery methodologies Exploring and adopting emerging AI technologies and approaches to drive innovation and business value ...

your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build … machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining ...

your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build … machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining ...

your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build … machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining ...