1 to 25 of 111 Feature Engineering Jobs in London

looking for a Senior Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook … ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart, built on Python, PySpark, and platforms like Databricks, Snowflake ...

solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements … winning the work, through to delivery governance and team leadership. You will bring SME‐level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect ...

Design, build, maintain, and improve lifetime value prediction models across ARQ’s countries and acquisition channels. Work closely with Growth & Marketing, Product, Finance, Data Engineering, and Engineering teams to understand business needs and translate them into modelling solutions. Help evaluate acquisition quality by channel, campaign, geography, customer segment … Design, build, maintain, and improve lifetime value prediction models across ARQ’s countries and acquisition channels. Work closely with Growth & Marketing, Product, Finance, Data Engineering, and Engineering teams to understand business needs and translate them into modelling solutions. Help evaluate acquisition quality by channel, campaign, geography, customer segment ...

spaces at Klarna. You will build best-in-class machine learning systems from the ground up, owning the complete pipeline from raw data through feature engineering, model design, training, and real-time production deployment. A central part of this role is converting some of Klarna's existing rules … detection, and behavioural signals into production where they create real impact.**Who you are*** End-to-end ML ownership across the full stack: data engineering, feature development, model design, training, low-latency production deployment, monitoring, and retraining.* Strong instinct for when a model is ready for production ...

Role We’re looking for a Staff AI Engineer who thrives at the intersection of software engineering, data and AI. This role is ideal for engineers who have experience building real, lovable products leveraging state‐of‐the‐art techniques and modern technologies.. You’ll own the full lifecycle … applications: building data pipelines, prompt & feature engineering , integrating models into high throughput, low latency services, and deploying production‐ready , AI powered features that delight our 70+ million users. What You’ll Own Build, deploy, and maintain AI agents and features across Linktree’s core product surfaces — including personalisation ...

Role We’re looking for a Staff AI Engineer who thrives at the intersection of software engineering, data and AI. This role is ideal for engineers who have experience building real, lovable products leveraging state-of-the-art techniques and modern technologies.. You’ll own the full lifecycle … applications: building data pipelines, prompt & feature engineering , integrating models into high throughput, low latency services, and deploying production-ready , AI powered features that delight our 70+ million users. What You’ll Own Build, deploy, and maintain AI agents and features across Linktree’s core product surfaces — including personalisation ...

record of delivering successful, production-scale machine learning solutions (ideally on AWS SageMaker)**.You will provide technical leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large-scale matching platform. This is a hands-on lead role requiring recent expertise in building … success designing and delivering enterprise-scale ML platforms and products (ideally using AWS SageMaker).* Proven experience delivering ML solutions from data ingestion and feature engineering through to production deployment, monitoring, and continuous improvement.* Experience building reliable, low-latency inference services and operating ML workloads at scale.* Proven ...

work in world of siloed and disconnected data bringing context to the disparate views of similar data Undertake exploratory data analysis, data preparation, feature engineering and model development using appropriate programming languages, tools and analytical techniques Apply statistical analysis, predictive modelling, classification, natural language processing and other relevant … feasibility and demonstrating the potential business value of analytics approaches Strong understanding of the end‐to‐end data science lifecycle, including data exploration, preparation, feature engineering, model development and evaluation Demonstrate an understanding of the data life cycle and the evolution of data from raw value through ...

machine learning models at scale that create measurable impact for the business Own the end-to-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance Shape technical direction for your area, making well-reasoned architectural and modelling decisions that … open-source data libraries such as Pandas, NumPy and Scikit-learn A solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniques Experience with Spark, agile delivery methods and CI/CD practices Familiarity with DevOps and MLOps tools and practices, such as Docker ...

strong knowledge of machine learning and statistics, and the ability to deliver within a regulated financial environment. The manager will partner closely with Product, Engineering, Credit Strategy, Model Validation, Data, and Platform teams to build scalable credit-decisioning capabilities. The position offers a fully remote option for candidates based … come beyond. Our UK customers can also save, invest and combine their pensions with us.With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers ...

come beyond. Our UK customers can also save, invest and combine their pensions with us.With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers … into new markets- shaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo.What ...

help millions more drivers in the UK and Spain. To help fuel that growth, we need a Senior Data Engineer to join our Engineering team. This team is the beating heart of Prima. You’ll be joining over 350 engineers across software development, infrastructure, operations, and security. Fueled … with a significant impact on the company’s growth. What you’ll do Shape the architecture of data products designed for: data analytics forecasting feature engineering customer behavior analysis integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization data governance consistent ...

bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior insights integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization governance consistent reliable … Explore open-source tools Engage with the broader tech community Help keep Prima at the cutting edge What we’re looking for Software & Data Engineering Strong expertise in Python Passion for writing: clean reliable production-grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data ...

techniques such as sequence prediction, intent modelling and imitation learning into production ready systems.You'll build end-to-end AI pipelines spanning data ingestion, feature engineering, model training, inference and monitoring, while applying causal inference to understand the real world impact of AI driven decisions.Collaborating with software engineers … causal inference and techniques for evaluating the impact of AI driven decisionsYou have experience building end-to-end ML pipelines, including data processing, feature engineering, training, inference and monitoringYou have strong engineering skills, with experience integrating AI services into production platforms using APIs, microservices or event driven ...

such as sequence prediction, intent modelling and imitation learning into production ready systems. You'll build end-to-end AI pipelines spanning data ingestion, feature engineering, model training, inference and monitoring, while applying causal inference to understand the real world impact of AI driven decisions. Collaborating with software … causal inference and techniques for evaluating the impact of AI driven decisions You have experience building end-to-end ML pipelines, including data processing, feature engineering, training, inference and monitoring You have strong engineering skills, with experience integrating AI services into production platforms using APIs, microservices ...

experimenting with new estimators, models, and features to boost payment performance across our merchants portfolio. You will work closely with Data Scientists, Product, and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. Key Responsibilities Contribute … other Data Scientists and engineers to productionise ML features, models, and evolve our evaluation and monitoring frameworks. Write high‐quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical ...

with new estimators, models and features to boost payment performance across our portfolio of merchants. You will work closely with Data Scientists, Product and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. Key Responsibilities Contribute … other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks. Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical ...

United KingdomApply Job### Job DescriptionAbout the role:Join us as a Software Engineer in our critical Scam Prevention 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 … securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product.What do you need?\* Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts ...

build and improve the Club’s data foundations, enable trusted self‐service reporting and support the practical adoption of AI. The role combines data engineering and analytics engineering and will work closely with specialist data and AI partners. Success will require strong technical breadth, sound judgement … impact, prioritise work with the role’s manager and stakeholders, and see each piece of work through to documented handover and adoption. Hands‐on engineering: Build, test, run and continuously improve reliable pipelines and integrations from Club systems, including CRM, ticketing, finance, HR and operational platforms. Develop and maintain ...

experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing and experimentation to improve model performance Collaborate with cross … solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment A/B Testing & Experimentation Python/ML Frameworks Large-scale Structured & Unstructured Data To be Considered: Please either apply ...

data and AI platform architecture strategy, establishing patterns that balance functional requirements with scalability, data quality, privacy and cost optimisation. Work closely with product engineering squads to establish data-generation patterns and build data-informed products and AI capabilities. Set the architectural strategy for making data available across … into roadmaps aligned with BT International's platform strategy. Mentor architects and engineers, fostering architectural thinking and technical leadership across the architecture and product engineering organisations. Essential Skills/Experience Strategic architecture leadership - Proven ability to define a data and AI platform vision, with a track record of driving ...

Things. Reply’s services include Consulting, System Integration, and Digital Services. Role Overview: We are looking for a mid/senior-level AI Testing & Engineering Specialist with strong Python expertise and solid experience in AI, Data Engineering, or Test Automation. The role is focused on building and evolving … generative AI agents, including evaluation pipelines, synthetic data generation, observability layers, and quality metrics for LLM-based systems. You will work across AI engineering, data pipelines, and quality automation, contributing both to architecture design and hands‐on implementation of scalable testing and evaluation systems. This role is suited ...

Description Overview Join a genuinely collaborative team whose diverse expertise delivers innovative solutions to complex engineering challenges worldwide. As an experienced data scientist, you will work across the data lifecycle in a fast-paced Agile environment, helping keep people, critical businesses and communication networks connected and secure. The role … data products. The role requires a strong foundation in data science together with practical experience operating within modern data platforms, MLOps environments and software engineering workflows. Your role Data Science & Analytics Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges. Explore large ...

emerging AI technologies and recommend practical applications across the organisation. Data Science & Analytics Perform advanced statistical analysis and modelling across large‐scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that drive decision making for senior stakeholders. Build … maintain reproducible data science workflows and pipelines. Product Delivery Partner with engineering and product teams to transition solutions from proof‐of‐concept into production. Define success metrics and measurement frameworks for AI products. Support model monitoring, governance and continuous improvement activities. Contribute to AI product roadmaps and prioritisation discussions. ...

Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical … Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people ...