1 to 25 of 81 Feature Engineering Jobs in England

applications. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism … 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 Manager in SAIL, you will own and lead consultancy engagements ...

applications. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism … 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 Manager in SAIL, you will own and lead consultancy engagements ...

this role.\ NOur Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability.\ NThe Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical … 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. \ NWhat you will be doing \ NAs a Senior Manager in SAIL, you will own and lead consultancy engagements ...

role. \n Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. \n The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep … 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. \n What you will be doing \n As a Senior Manager in SAIL, you will own and lead consultancy engagements ...

about leveraging cutting‐edge AI to transform financial markets? Do you thrive on building end‐to‐end solutions, from robust data pipelines and sophisticated feature engineering to deploying advanced predictive models and personalized recommendation systems? If you have hands‐on experience, and a desire to make a significant … graph databases and knowledge graphs, to generate deep insights into financial markets and enhance Marquee’s platform engagement. We collaborate closely with Sales, Trading, Engineering, Product, Design, other areas of the Global Markets Division, and directly with clients. Our global team comprises experts in financial markets, product structuring, cutting ...

Principal, AI/ML Engineer leads the design, delivery and continuous improvement of AI and ML solutions within their area of responsibility, aligning engineering activities to the Bank’s broader AI strategy and long-term objectives. The role combines strong technical leadership with a clear focus on delivery outcomes … operates with a clear understanding of the wider technology landscape, contributing to strategic direction while taking accountability for translating this into practical, high-quality engineering outcomes across squads. Leads the definition and execution of AI/ML engineering direction across one or more squads, ensuring alignment with ...

where the NHSBSA can take you. We are people connected to care. Job description Job responsibilities In this role, you are accountable for: AI Engineering and development 1. Designing, developing, and deploying AI solutions from prototype to production, ensuring scalability, security, and maintainability.2. Collaborate on feature engineering … model development, and MLOps. Shares expertise and mentors colleagues and engineers. Excellent understanding of model lifecycle, from experimentation to production. Strong grasp of software engineering principles (SOLID, design patterns), dependency injection, and scalable system design. Strong understanding of NLP, embeddings, and semantic search. Awareness of ethical and privacy implications ...

Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across … lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with genuine ML rigour and a healthy scepticism about what models can and can't be trusted to do. Key Responsibilities Partner with ...

graph databases and knowledge graphs, to generate deep insights into financial markets and enhance Marquee’s platform engagement. We collaborate closely with Sales, Trading, Engineering, Product, Design, and other areas of the Global Markets Division, and directly with clients. Our global team comprises experts in financial markets, product structuring …/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies. RESPONSIBILITIES AND QUALIFICATIONS Responsibilities: Design, build, and maintain robust data pipelines for feature engineering and model training, ensuring data quality, scalability, and explainability. Develop, train, and deploy state‐of‐the‐art machine learning models, with ...

Python and SQL skills Experience developing and deploying machine learning models into production environments Excellent understanding of statistical modelling, experimentation, and model evaluation Strong feature engineering and exploratory data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders A degree qualification (BSc, MSc, PhD etc. … innovation The Senior Data Scientist role will involve: Developing and deploying machine learning models to solve real-world business challenges Performing exploratory data analysis, feature engineering, model development, and evaluation Building forecasting, classification, segmentation, and predictive modelling solutions Designing and executing statistical analyses and experiments to support strategic ...

taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI. Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization … inference, experimentation, monitoring, and continuous improvement. Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems. Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical ...

deployment of AI/ML solutions aligned to Army training objectives and enterprise architecture principles. Develop and maintain ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation. Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints. … . Experience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production environments. Understanding of feature engineering, model validation, and performance evaluation techniques. xxuwjjq Experience integrating ML components into wider software systems via APIs or microservices. Experience working with ...

deployment of AI/ML solutions aligned to Army training objectives and enterprise architecture principles. Develop and maintain ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation. Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints. … . Experience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production environments. Understanding of feature engineering, model validation, and performance evaluation techniques. xlzlddp Experience integrating ML components into wider software systems via APIs or microservices. Experience working with ...

/ML solutions aligned to Army training objectives and enterprise architecture principles.\n \n \nDevelop and maintain ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation.\n \n \nSupport integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform … building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production environments.\n \n \nUnderstanding of feature engineering, model validation, and performance evaluation techniques.\n \n \nExperience integrating ML components into wider software systems via APIs or microservices. ...

generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes. Working alongside highly experienced founders and recognised experts in machine learning … business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious ...

Forward Deployed Engineer Machine Learning, Python, PyTorch, TensorFlow, LLMs, RAG, Generative AI, Agentic Systems, Cloud, Consulting, Solutions Engineering, EMEA (Remote) Very Attractive Salary + Benefits This is a fantastic opportunity for a Senior AI Forward Deployed Engineer to join a leading technology consulting and AI delivery organisation, working directly … deploying Machine Learning systems in production environments is expected as an AI Forward Deployed Engineer, including full end-to-end pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment. The AI Forward Deployed Engineer will bring strong practical experience in Generative AI and modern AI systems ...

technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute … compliance framework. This is a highly hands‐on, highly technical, principal‐level role that combines architectural vision with deep practical expertise in ML engineering and AWS-native MLOps. Key Responsibilities Technical Leadership & Architecture Define the end‐to‐end ML architecture for the matching platform, including data pipelines, model training ...

possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary … proof-of-concept (PoC) solutions — from new dataset pipelines and ML models to AI-powered internal tools — and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content ...

possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary … proof-of-concept (PoC) solutions — from new dataset pipelines and ML models to AI-powered internal tools — and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content ...

possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary … proof-of-concept (PoC) solutions from new dataset pipelines and ML models to AI-powered internal tools and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge s rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content ...

possible with our data and handing those proofs to engineering.\ NAbout the Role:\ NAs a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary … proof-of-concept (PoC) solutions — from new dataset pipelines and ML models to AI-powered internal tools — and hand off successful proofs to the engineering team for production integration.\ NYou will work with Third Bridge’s rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content ...

possible with our data and handing those proofs to engineering.\ NAbout the Role:\ NAs a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary … proof-of-concept (PoC) solutions — from new dataset pipelines and ML models to AI-powered internal tools — and hand off successful proofs to the engineering team for production integration.\ NYou will work with Third Bridge’s rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content ...

responsibilities and tasks associated with this role before proceeding. JOB DESCRIPTION As a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions … automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered ...

connect them with exceptional professionals for this role.\ NJOB DESCRIPTION\ NAs a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions … automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products.In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered products ...

responsibilities and tasks associated with this role before proceeding. JOB DESCRIPTION As a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions … automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered ...