1 to 25 of 36 Remote/Hybrid Feature Engineering Jobs in London

workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands-on work with model architectures, feature engineering, model optimisation, performance debugging, schema-aligned data preparation, and ML-driven interfaces. This is a role for engineers who want to build real models, ship … real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise ...

Staff AI Engineer London Engineering In office Full-time The 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 … techniques and modern technologies.. You’ll own the full lifecycle of AI 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 ...

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 ...

existing products and create new features for current and future customers, working across the full data science pipeline from data cleaning through to feature engineering, model training and deployment. You'll also be expected to offer broader engineering support, spotting and shipping improvements across our analytics stack … predictive maintenance and condition monitoring, and turning them into reliable, production-ready features Building and maintaining data science pipelines end to end: cleaning, feature engineering, model training and inference, and output storage Investigating and resolving the nuances that come with new vessel types, sensors and tags ...

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 ...

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 ...

integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices … quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working ...

integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices … quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working ...

integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices … quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working ...

team in Sheffield This role is hands on and suited to someone who can lead by example partner with stakeholders and help shape engineering standards while delivering high-quality software at paceHybrid working:The places that you work from day to day will vary according to your role, your … noting that you will be unable to work at home 100% of the time.Your Role:Provide technical direction mentoring and code review leadershipDrive good engineering practices testing documentation maintainability securitySenior full stack engineering capability with a strong frontend foundationReactJS and TypeScriptStrong backend engineering mindset API design integration ...

into one unit that will drive cutting-edge development in a number of critical areas for the business. The role sits within the Data Engineering team and reports to the Head of Data Engineering. The team’s remit is to drive innovation & revenue through the development & delivery of revenue … generating/client-facing data engineering solutions used across the agency. The Senior Data and ML Engineer will be part of a growing team that delivers highly impactful data solutions across our extensive client portfolio and also the agency’s own product offerings. We seek individuals who are proactive ...

Analysis: Develop, train and evaluate models using statistical and machine learning techniques, with a focus on probabilistic approaches. Contribute across the modelling lifecycle from feature engineering and training through to validation and deployment. Data Work: Query, clean and explore datasets using Python and SQL to surface patterns … statistical techniques. Comfortable working with probabilistic models, uncertainty estimation and Bayesian inference. Model Development: Understanding of the full model training pipeline, including data preparation, feature selection, model selection and model validation. Experience: Hands-on experience building and evaluating models in a data science or quantitative context. Python & SQL: Comfortable ...

with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize our operations, refine our marketing efforts, and enhance the customer experience. You will not only build … powerful models but also help uphold the engineering rigor and standards of our data team. You Will: Build from Scratch: Thrive in a 0-to-1 environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ...

experienced machine learning scientists, contributing to well-scoped research and product-focused experiments. Implement clean, maintainable model training and inference code using standard software engineering practices, including basic unit testing, code reviews, and reproducible experimentation workflows. Participate in low-level system design, API design, and data modeling … robust, production-aware ML solutions. Explore, analyze, and prepare data using fundamental statistical and ML techniques to improve model quality, robustness, and fairness, including feature engineering and basic error analysis. Collaborate with peers, mentors, data scientists, engineers, and product partners to understand problem spaces, define success metrics ...

distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. Mentor junior team members and utilise model explainability methods to drive feature performance improvements. About You 5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems. Deep … statistics, plus supervised and unsupervised modelling techniques. Proven experience modelling complex interactions (e.g., cluster or network effects). Expertise in model explainability to tune feature engineering and understand feature interactions. Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders. Proficient ...

decisions, improve customer outcomes, and build scalable data science capabilities for a growing product area. You will collaborate closely with cross-functional teams, including engineering, product, analytics, operations and risk management. Key Responsibilities: Lead the development and deployment of machine learning models and data science solutions to improve Receive … state-of-the-art capabilities in the Spend domain A bit about you: Proven track record of deploying models from scratch, including data preprocessing, feature engineering, model selection, evaluation, and monitoring Solid knowledge of Python, and ability to make and justify design decisions in your code. You know ...

logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling ...

Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. Collaborate with data engineers and architects to operationalise solutions. Ensure solutions follow Responsible AI, governance, and security best practices. ...

within a complexenterprise environment. You will play a key role in delivering secure, reliableand high-performing AI solutions, working across MLOps, cloud infrastructure,data engineering and large language model technologies. Key Responsibilities Design, develop and deployproduction-ready AI agents and copilot solutions, taking ownership frominitial prototype through to production. … manage AI/MLapplications across AWS and/or Azure cloud environments. Ensure solutions meetenterprise security, governance, model risk and regulatory requirements. Collaborate with engineering,product and business stakeholders to deliver scalable AI solutions. Experience & Skills Required Strong hands-on experience in MLOps, machine learningengineering or production AI development ...

customer engagement, and operational efficiency. Partner with stakeholders to define problem statements, success metrics, data requirements, and practical implementation plans. Conduct data exploration and feature engineering to uncover drivers of outcomes and improve model performance and interpretability. Develop robust evaluation frameworks, including appropriate baselines, validation strategies, monitoring metrics … model performance reporting. Support deployment of models into production in collaboration with Engineering, contributing to reproducible pipelines and model documentation. Monitor models in production, identify performance drift, propose improvements, and support ongoing recalibration or retraining where required. Apply probability and statistical inference to design experiments, interpret results, and provide ...

platform design.* Ensure architectures meet security, privacy, and regulatory requirements, including GDPR and data residency considerations.* Review solution designs, provide architectural assurance, and support engineering teams through design authority and peer review.* Design data architectures that enable AI adoption — ensuring data is discoverable, well-governed, and AI-ready … machine learning, GenAI, and agentic use cases across the business.* Partner with AI/ML teams to define patterns for feature engineering, model data pipelines, vector search, and the safe exposure of enterprise data to AI systems.* Evaluate emerging technologies and make pragmatic build/buy/adopt ...

cycles to ensure all models maintain the high level of accuracy and reliability required for professional-grade execution. Cross Functional Integration: Work closely with Engineering and Product teams to ensure seamless delivery of these complex feeds into client workflows, while maintaining the integrity of our internal IP. Cricket & Betting … machine learning and statistics. Practical Experience: Proven track record (2+ years) of applying data science methods as part of end-to-end pipelines (feature engineering, model training, deployment, validation) to solve complex real-world problems in a professional environment. Programming Fluency: Strong programming skills in Python ...

cycles to ensure all models maintain the high level of accuracy and reliability required for professional-grade execution. ● Cross Functional Integration: Work closely with Engineering and Product teams to ensure seamless delivery of these complex feeds into client workflows, while maintaining the integrity of our internal IP. ● Cricket & Betting … machine learning and statistics. **Practical Experience:** Proven track record (2+ years) of applying data science methods as part of end-to-end pipelines (feature engineering, model training, deployment, validation) to solve complex real-world problems in a professional environment. **Programming Fluency:**Strong programming skills in Python ...

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 ...