101 to 125 of 240 Feature Engineering Jobs in England

Social network you want to login/join with: Senior Data Scientist (Engineering Technologies), Leeds col-narrow-left Client: Jet2.com Location: Leeds, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 9f34c00ffce8 Job Views: 7 Posted: 22.06.2025 Expiry Date: 06.08.2025 col-wide Job Description: 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 optimise our More ❯

travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you! What you’ll … work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production. You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation. You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule. You advocate for … quality coding. Write secure, stable, testable, maintainable code with minimal defects. Who you are 2+ years experience in ML and software engineering for Bachelor’s, 1+ years for Master’s Developed software in a team environment of at least 5 engineers (agile, version control, etc.). Built and maintained an ML model or pipeline in production environments in public More ❯

You will be responsible for enabling our ML Scientists - currently spread across five product functions - to deliver value by providing self-serve platforms and services for ML model + feature development, deployment and monitoring. Do you find happiness in providing tooling, services and platforms that help businesses untap the enormous value of machine learning? If so, this could be … the perfect match. Want to find out more about Depop & our engineering team? We write about technology, people and smart engineering right here - https://engineering.depop.com/Responsibilities Helping design, implement and maintain tooling + platforms for: Productionising model training workflows ML feature engineering and deployment Deploying, monitoring and managing ML models in production Model … s tooling + platform offerings. Hold high standards for operational excellence; from running your own services to testing, monitoring, maintenance and reacting to production issues. Adding to a strong engineering culture orientated on technical innovation, continuous improvement and professional development. Requirements Consistent track record of successful end-to-end delivery of your projects; from scoping and translating business/ More ❯

Principal ML/AI Engineer - Python | Greenfield AI Platform (Contract) We are seeking a Principal/Senior AI/ML Engineer with a strong foundation in software engineering and Python development, to join a globally renowned organisation at the forefront of AI innovation. This is a rare chance to work on greenfield AI/ML projects, delivering transformative solutions … systems using Python and modern frameworks. Lead technical design discussions and influence system-level decisions across greenfield initiatives. Build and scale end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment. Champion best practices in software engineering: CI/CD, testing, containerisation, version control, and code quality. Collaborate with cross-functional teams including … data scientists, platform engineers, and product stakeholders to align AI solutions with business goals. Experience Strong commercial experience in Python with a deep understanding of software engineering principles. Demonstrated expertise in building ML systems in production environments (not just notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with More ❯

Principal ML/AI Engineer - Python | Greenfield AI Platform (Contract) We are seeking a Principal/Senior AI/ML Engineer with a strong foundation in software engineering and Python development, to join a globally renowned organisation at the forefront of AI innovation. This is a rare chance to work on greenfield AI/ML projects, delivering transformative solutions … systems using Python and modern frameworks. Lead technical design discussions and influence system-level decisions across greenfield initiatives. Build and scale end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment. Champion best practices in software engineering: CI/CD, testing, containerisation, version control, and code quality. Collaborate with cross-functional teams including … data scientists, platform engineers, and product stakeholders to align AI solutions with business goals. Experience Strong commercial experience in Python with a deep understanding of software engineering principles. Demonstrated expertise in building ML systems in production environments (not just notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with More ❯

Principal ML/AI Engineer - Python | Greenfield AI Platform (Contract) We are seeking a Principal/Senior AI/ML Engineer with a strong foundation in software engineering and Python development, to join a globally renowned organisation at the forefront of AI innovation. This is a rare chance to work on greenfield AI/ML projects, delivering transformative solutions … systems using Python and modern frameworks. Lead technical design discussions and influence system-level decisions across greenfield initiatives. Build and scale end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment. Champion best practices in software engineering: CI/CD, testing, containerisation, version control, and code quality. Collaborate with cross-functional teams including … data scientists, platform engineers, and product stakeholders to align AI solutions with business goals. Experience Strong commercial experience in Python with a deep understanding of software engineering principles. Demonstrated expertise in building ML systems in production environments (not just notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with More ❯

deep experience delivering high-impact AI solutions across marketing and customer experience. What You'll Do Model & Build: Support the design and deployment of pragmatic machine learning solutions - from feature engineering in SQL to model development in Python, and deploying in production environments like AWS. Explore & Prototype: Help bring new ideas to life by quickly prototyping new models … curiosity, and clarity of thought to everything you do. Pace and impact matter here. What You'll Bring Must-Have: A degree in a STEM discipline (Computer Science, Maths, Engineering, etc.) or equivalent practical experience. 2-4 years of experience delivering DS/ML solutions in production environments - ideally in settings where you've had to wear multiple hats … e.g., startups, small teams). Fluency in Python and SQL; experience building and deploying models end-to-end, from feature engineering to performance validation. Comfort with cloud tools (AWS preferred), Git, and CI/CD pipelines. Ability to work independently and juggle priorities without getting stuck in analysis paralysis. Concise communication and documentation skills, especially under time pressure. More ❯

drive innovation into the product development process. You will interpret your client’s objectives, desires, and preferences to help the wider technical team understand the opportunities and apply data engineering responsibilities consistently. You will work on projects delivering to National Security customers, requiring the highest level of UK Security Vetting (DV) upon application. Key Responsibilities: You will blend Data … Engineering and Data Science, with experience covering tasks such as: Data Engineering tasks Manage integrations between data warehouse and other systems. Create deployable data pipelines using technologies like Nifi, Spark. Build analytics tools to provide insights into client requirements and operational metrics. Conduct onsite client visits and provide customer support. Problem-solve pragmatically, offering technical support and agile … and AI models. Design and deploy machine learning services accessible via APIs. Research and analyse data sets using statistical and machine learning techniques. Support analytical needs including data cleansing, feature engineering, and visualisation. Review software performance and establish key findings for business and clients. Assist the Business Development team with proposals and bids. The role offers genuine autonomy More ❯

markets. Build, train, and refine ML-based models for algorithmic trading. Collaborate with a skilled international team. Must-Have: Education: Bachelor’s degree or higher in Computer Science, Software Engineering, or related fields. Experience: Building production-grade trading system based on ML algorithms. Expertise in financial data analysis, feature engineering, back-testing, and deploying models. Developing crypto More ❯

markets. Build, train, and refine ML-based models for algorithmic trading. Collaborate with a skilled international team. Must-Have: Education: Bachelor’s degree or higher in Computer Science, Software Engineering, or related fields. Experience: Building production-grade trading system based on ML algorithms. Expertise in financial data analysis, feature engineering, back-testing, and deploying models. Developing crypto More ❯

markets. Build, train, and refine ML-based models for algorithmic trading. Collaborate with a skilled international team. Must-Have: Education: Bachelor’s degree or higher in Computer Science, Software Engineering, or related fields. Experience: Building production-grade trading system based on ML algorithms. Expertise in financial data analysis, feature engineering, back-testing, and deploying models. Developing crypto More ❯

overall application architecture. Collaborate closely with stakeholders and researchers to support analytical and product use cases Evaluate data sources to understand the content and how it fits with our feature requirements, identifying missing or erroneous data. Architect and build data pipelines which fetch data from public and private data suppliers' APIs, S3 buckets, and web interfaces in various formats … with data from multiple sources, and perform various transformations. Create programmatically validated data schemas, as well as human-readable documentation, to specify requirements to our partners. Explore alternate data engineering technologies and solutions. Other activities as may be assigned by your manager Qualifications/Requirements: Bachelor's degree in related field, or equivalent combination of education and experience Experienced … Hardware: Mac, Linux Experience with cloud platforms (e.g., AWS, Azure). Broad understanding of Financial Services/Capital Markets/Asset Management. Experience working with geospatial data. Experience in feature engineering for Machine Learning applications. Experience with data engineering frameworks. Portfolio of past experience (e.g., demos of past work, contributions to open source, blogs, talks). Self More ❯

drive innovation into the product development process. You will interpret your client’s objectives, desires, and preferences to help the wider technical team understand the opportunities and apply data engineering responsibilities consistently. You will be working on an interesting range of projects that deliver to National Security customers and as such, you will have to hold the highest level … of UK Security Vetting (DV), upon application. Key Responsibilities: You will blend Data Engineering and Data Science, and will have experience that might cover a number of the tasks listed below: Data Engineering tasks Manage the implementation and development of integrations between the data warehouse and other systems. Create deployable data pipelines that are tested and robust using … Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the business and your clients, establishing More ❯

drive innovation into the product development process. You will interpret your client’s objectives, desires, and preferences to help the wider technical team understand the opportunities and apply data engineering responsibilities consistently. You will be working on an interesting range of projects that deliver to National Security customers and as such, you will have to hold the highest level … of UK Security Vetting (DV), upon application. Key Responsibilities: You will blend Data Engineering and Data Science, and will have experience that might cover a number of the tasks listed below: Data Engineering tasks Manage the implementation and development of integrations between the data warehouse and other systems. Create deployable data pipelines that are tested and robust using … Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the business and your clients, establishing More ❯

trends and AI applications to enhance solution design What You'll Bring: 3+ years in a hybrid analytics and consulting role, ideally in healthcare Strong skills in data preparation, feature engineering, and model development Proficiency in SQL, Python, R, or similar languages Ability to create clear, engaging data visualisations for non-technical audiences Experience managing stakeholders and delivering … in fast-paced, deadline-driven settings Knowledge of the UK healthcare landscape and its challenges A degree in engineering, mathematics, statistics, or a related field Why Join? Shape healthcare outcomes with cutting-edge AI and analytics Enjoy a flexible hybrid model and up to 2 months of remote work annually Access private medical insurance for prompt, personalised care Thrive … Editor, Fashion Buying (Fixed-Term) London, England, United Kingdom 2 days ago S/4 Finance Transformation Manager/Senior Manager London, England, United Kingdom 2 weeks ago Pharmaceutical Engineering - KTP Associate Harlow, England, United Kingdom 2 weeks ago Enfield, England, United Kingdom 3 days ago Defence Children Services (DCS)-Teacher of Science (with Biology KS5)- King Richard School More ❯

be considered for this position. ABOUT THIS OPPORTUNITY A great opportunity has arisen for a Data Engineer to work within the Personalised Experiences and Communications Platform to join product engineering cross functional teams. As a Data Engineer your responsibilities will be delivering the highest quality data capability, drawing upon your engineering expertise, whilst being open minded to the … opportunities the cloud provides. What you'll be doing Building reusable data pipelines at scale, work with structured and unstructured data, and feature engineering for machine learning or curate data to provide real time contextualise insights to power our customers journeys. Using industry leading toolsets, as well as evaluating exciting new technologies to design and build scalable real … Azure, Teradata, SQL server) you'll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data. Helping in adopting best engineering practices like Test Driven Development, code reviews, Continuous Integration/Continuous Delivery etc for data pipelines. Mentoring other engineers to deliver high quality and data led solutions for our More ❯

Options: Hybrid Working, Job Share Job Description Summary: A great opportunity has arisen for a Data Engineer to work within the Personalised Experiences and Communications Platform to join product engineering cross functional teams. As a Data Engineer, your responsibilities will include delivering the highest quality data capability, drawing upon your engineering expertise, whilst being open-minded to the … opportunities the cloud provides. What you’ll be doing... Building reusable data pipelines at scale, working with structured and unstructured data, and feature engineering for machine learning or curating data to provide real-time contextual insights to power our customers' journeys. Using industry-leading toolsets, as well as evaluating exciting new technologies to design and build scalable real … Azure, Teradata, SQL server) you’ll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data. Helping in adopting best engineering practices like Test Driven Development, code reviews, Continuous Integration/Continuous Delivery for data pipelines. Mentoring other engineers to deliver high-quality and data-led solutions for our Bank 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 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 More ❯

be considered for this position. ABOUT THIS OPPORTUNITY A great opportunity has arisen for a Data Engineer to work within the Personalised Experiences and Communications Platform to join product engineering cross-functional teams. As a Data Engineer, your responsibilities will be delivering the highest quality data capability, drawing upon your engineering expertise, whilst being open-minded to the … opportunities the cloud provides. What you’ll be doing... Building reusable data pipelines at scale, working with structured and unstructured data, and feature engineering for machine learning or curating data to provide real-time contextual insights to power our customers' journeys. Using industry-leading toolsets, as well as evaluating exciting new technologies to design and build scalable real … Azure, Teradata, SQL Server) you’ll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data. Helping in adopting best engineering practices like Test Driven Development, code reviews, Continuous Integration/Continuous Delivery, etc., for data pipelines. Mentoring other engineers to deliver high-quality and data-led solutions for our More ❯

grow by tackling complex technical challenges. Responsibilities Design, build, and maintain AI systems and tools using machine learning and large language models (LLMs), with a strong focus on prompt engineering and model fine-tuning. Collaborate with cross-functional teams to identify opportunities for AI and automation across the product suite. Develop scalable pipelines for data ingestion, model training, evaluation … operating as a senior level engineer within a product or SaaScompany Proven experience with Python and ML libraries such as TensorFlow or PyTorch. Experience working with LLMs (Gemini), prompt engineering, and reinforcement learning from human feedback (RLHF). Experience with LangChain for building LLM applications with RAG pipelines and agent workflows. Practical understanding of vector search, embeddings, and retrieval … generation (RAG). Experience building and deploying machine learning models into production environments. Familiarity with MLOps tools and practices (Vertex AI). Understanding of data pipelines, data preparation, and feature engineering. Bonus Points for: Hands-on experience with prompt tuning, fine-tuning LLMs, or adapting open-source models for specific use cases. Hands-on experience with AlloyDB or similar. More ❯

operations that use different data structures to other ESP modeling tools. Qualifications EXPERIENCE/QUALIFICATIONS/EDUCATION REQUIRED Educational Requirements Bachelor’s and/or master’s in electrical engineering, economics, mathematics, or a related quantitative field (data science or data engineering emphasis desired). Required Work Experience 3-5 years of experience in energy trading, renewables development … e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets. Demonstrated ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms and platform components (e.g., Snowflake, ML Flow, Airflow, etc.). Demonstrated experience in using Azure More ❯

and explain ML pipelines Strong Python programming skills for efficient model development and deployment Experience in building and managing data pipelines using tools like Apache Spark Familiarity with different feature engineering techniques Excellent communication skills and ability to collaborate with diverse teams Commitment to responsible AI practices, including fairness, accountability, and transparency Nice to have: Advanced degree in … products Constantly improve our technical capabilities by researching and implementing state of the art ML solutions that deliver value to users Work in a cross-functional setup alongside other engineering (ML, Backend, Frontend, QA), product, and analytics teams Salary Range - per year Salary ranges may vary depending on your skills, competencies and experience. Reward People perform better when they More ❯

problems. You’ll get hands-on with innovative, composable tooling to prototype, iterate fast, and productionise what works. Stay up to date with emerging tech and practices in data engineering, analytics, and AI, advocating for thoughtful adoption. Evangelise data capabilities internally, supporting analysts, marketers, and operators in better leveraging the data platform. What You’ll Bring Proven experience designing … Desire to keep up with the industry particularly from an AI perspective. A strong interest in the evolving AI landscape and experience supporting AI/ML use cases through feature engineering, model-ready data pipelines, or production data workflows. To be successful at Monica Vinader... You are a doer You’re a team player You’re humble You More ❯

be doing: Designing and maintaining scalable data pipelines and infrastructure to support structured, analysis-ready data Designing and deploying end-to-end machine learning models from data preparation and feature engineering to model training, evaluation, and monitoring Overseeing a team of three data analysts and collaborating closely with business analysis and developers across William Reed Setting out a More ❯