51 to 75 of 88 Feature Engineering Jobs in England

audit requirements. Experience with GDPR and AI governance frameworks. Key responsibilities Build and deploy predictive and credit risk models. Lead exploratory data analysis, feature engineering, model validation and monitoring. Develop forecasting, simulation and stress-testing models. Work with data engineering teams to create modelling-ready datasets using ...

Responsibilitie sPerform exploratory data analysis (EDA) to uncover trends, anomalies, and opportunitie sDevelop and validate machine learning models (regression, classification, clustering, etc. )Conduct feature engineering, hypothesis testing, and model evaluatio nTranslate business requirements into data science use cases and analytical solution sDeliver actionable insights to drive optimisation, efficiency ...

limitations, and model performance. Build and productionize analytics that advance intraday/EoD automation (services, APIs, pipelines) with clear SLOs/SLA, observability, reliability engineering practices, and tight integration into trading/risk platforms. Provide technical leadership and mentorship; conduct code/method reviews, establish research engineering best … resourcing via data driven analysis, scenario studies, and clear articulation of trade offs. Lead development of ML/AI solutions end to end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. Uphold standards for documentation, reproducibility ...

This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data‐driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply … Development** Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments.* **Domain Expertise** Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer ...

Senior Data Scientist to take a leading role across a portfolio of technically demanding projects. You’ll operate end-to-end - shaping problem definitions, engineering data pipelines, developing advanced models, and ensuring outputs are robust, explainable and deployable in real-world settings. This is a hands-on role … impact. Key Responsibilities Translating complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. ...

goals Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams Education Bachelor s degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production … agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems Collaborate with data scientists and machine learning engineers ...

communication and collaboration skills, with demonstrated experience working across cross-functional teams\ N\nEducation\n\nBachelor’s degree or higher in Computer Science, Software Engineering, or a related field.\ N\nResponsibilities\ NAs a Software Engineer specializing in AI systems, you will play a key role in designing and implementing … agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning\ NDevelop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems\ NCollaborate with data scientists and machine learning engineers ...

collaboration skills, with demonstrated experience working across cross-functional teams \n\n Education\n \n Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field. \n\n Responsibilities \n As a Software Engineer specializing in AI systems, you will play a key role in designing … agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning \n Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems \n Collaborate with data scientists and machine ...

deep understanding of JDBC and database internals. Experience with CI/CD pipelines and Distributed and Concurrent SystemsExperience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plusA strong product mindset and passion for user experience … more: How we work – a practical guide DEI @ WiseWise Tech Stack (2025 update)See what it's like to work at Wise London!Our Engineering career map Wise Engineering – do we offer: Starting salary: £87,500 - £111,000 + RSUs Wise Benefits Additional Information For everyone, everywhere. ...

understanding of JDBC and database internals. Experience with CI/CD pipelines and Distributed and Concurrent Systems Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus A strong product mindset and passion for user … work a practical guide DEI @ Wise Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering do we offer: Starting salary: £87,500 - £111,000 + RSUs Wise Benefits Additional Information For everyone, everywhere. We're people ...

Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. … with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across ...

Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. … with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across ...

Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. … with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across ...

this role. Find out if this opportunity is a good fit by reading all of the information that follows below. Senior Analytics Engineer - Analytics Engineering Our story - continued commitment to doing the right thing 2005 seems like a long time ago. Simply Business – a small company with … Simply Business. DNA has been central to empowering data-driven decision making at SB. We have invested heavily in our data pipeline, data engineering, business intelligence and machine learning capabilities. The Senior Analytics Engineer is a senior technical role responsible for thedesign and development of robust analytical data models. ...

this role. Find out if this opportunity is a good fit by reading all of the information that follows below. Senior Analytics Engineer - Analytics Engineering Our story - continued commitment to doing the right thing 2005 seems like a long time ago. Simply Business a small company with … Simply Business. DNA has been central to empowering data-driven decision making at SB. We have invested heavily in our data pipeline, data engineering, business intelligence and machine learning capabilities. The Senior Analytics Engineer is a senior technical role responsible for thedesign and development of robust analytical data models. ...

business goalsEffective communication and collaboration skills, with demonstrated experience working across cross-functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production … agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learningDevelop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systemsCollaborate with data scientists and machine learning engineers to ensure ...

collaboration skills, with demonstrated experience working across cross-functional teams \n\n Education \n \n Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field. \n\n Responsibilities \n As a Software Engineer specializing in AI systems, you will play a key role in designing … agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning \n Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems \n Collaborate with data scientists and machine ...

Descriptionhackajob is collaborating with Simply Business to connect them with exceptional professionals for this role.\ NSenior Analytics Engineer - Analytics Engineering\ N \nOur story - continued commitment to doing the right thing\ N \n2005seems like a long time ago. Simply Business – a small company with a big idea. To transform … Simply Business. DNA has been central to empowering data-driven decision making at SB. We have invested heavily in our data pipeline, data engineering, business intelligence and machine learning capabilities. \ N \nThe Senior Analytics Engineer is a senior technical role responsible for thedesign and development of robust analytical data ...

shape advanced machine learning solutions that directly influence digital campaign performance. You will operate as the technical authority for data science, working closely with engineering to bring models into production and scale their real-world impact. The Company They are a London-based technology business specialising in advertising … optimising campaign performance. Since launching in recent years, they have grown into a collaborative team of around 50, combining expertise across data science, engineering and digital media. Their SaaS platform integrates with major advertising ecosystems, leveraging large-scale datasets to drive smarter decision-making for their clients. The Role ...

solutions to help solve business problems. What you'll do Work with the team to carry out analytical projects involving data collection, pre-processing, feature engineering, model development, validation, and deployment. Engage with business stakeholders to understand domain-specific challenges and opportunities, and collaborate during development to ensure … natural language processing, and deep learning. Create clear and compelling visualisations to communicate complex analytical findings effectively. Collaborate with collaborators (including business, product, and engineering) to understand requirements, find opportunities, and provide data-driven recommendations. Collaborate with cross-functional teams to integrate data science solutions into products and services. ...

help solve business problems.\ NWhat you'll do\n\ N\nWork with the team to carry out analytical projects involving data collection, pre-processing, feature engineering, model development, validation, and deployment.\ N\n\nEngage with business stakeholders to understand domain-specific challenges and opportunities, and collaborate during development … deep learning.\ N\n\nCreate clear and compelling visualisations to communicate complex analytical findings effectively.\ N\n\nCollaborate with collaborators (including business, product, and engineering) to understand requirements, find opportunities, and provide data-driven recommendations.\ N\n\nCollaborate with cross-functional teams to integrate data science solutions into products ...

manipulation, analysis, and modelling Experience working with large and complex datasets, such as transactional or behavioural data Good understanding of data modelling concepts and feature engineering techniques Exposure to cloud platforms, ideally Azure, and experience with Databricks is beneficial Confident communicating insights to stakeholders and presenting to clients ...

JDBC and database internals. \n Experience with CI/CD pipelines and Distributed and Concurrent Systems \n Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus \n A strong product mindset and passion … practical guide \n DEI @ Wise \n Wise Tech Stack (2025 update) \n See what it's like to work at Wise London! \n Our Engineering career map \n\n Wise Engineering – \n What do we offer: \n \n Starting salary: £87,500 - £111,000 + RSUs \n Wise ...

JDBC and database internals. \n Experience with CI/CD pipelines and Distributed and Concurrent Systems \n Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus \n A strong product mindset and passion … practical guide \n DEI @ Wise \n Wise Tech Stack (2025 update) \n See what it's like to work at Wise London! \n Our Engineering career map \n\n Wise Engineering – \n What do we offer: \n \n Starting salary: £87,500 - £111,000 + RSUs \n Wise ...

focus on data and digital capability. You'll sit within a dedicated data function, working closely with a Senior Data Scientist and collaborating across engineering, product and business teams to build models that get used, not just presented. Responsibilities as a Data Scientist: Conduct exploratory data analysis to identify … trends, patterns and anomalies across large datasets Build, refine and deploy machine learning models to solve business problems Perform data cleaning, feature engineering and transformation to ensure data quality and model suitability Support integration of models into business processes and operational systems Monitor deployed model performance and recommend ...