13 of 13 Permanent Feature Engineering Jobs in Berkshire

PyTorch, or other relevant frameworks. Collaborate with cross-functional teams to integrate AI/ML solutions into our SaaS platform. Work on data preprocessing, feature engineering, and model optimization to ensure high accuracy and performance. Evaluate and fine-tune models to improve accuracy and performance. Integrate machine learning … in AI/ML and fintech trends to drive innovation within the company. Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field. 3-5 years of professional experience in AI/ML development, preferably in fintech or a related More ❯

ideas and commitment to excellence, we want you to join us. To learn more visit alti-global.com. Job Description & Overview The Head of Data Engineering & Analytics will lead the development and execution of AlTi’s enterprise data engineering strategy, enabling the capture, transformation, storage and delivery of high … quality data across the firm’s global wealth, investment, corporate and asset management functions. This leader will architect and scale data engineering capabilities to support real-time and batch integration, reporting, and advanced analytics. This role reports to the CTO and will be a key member of the Global … Technology Solutions leadership team. In this hands-on leadership role, you will work at the intersection of data engineering, business intelligence, data science, strategy and governance. The ideal candidate will combine deep technical expertise in cloud data platforms and integration tools with strong experience implementing scalable data pipelines, robust More ❯

subdomains like sentiment analysis or natural language understanding Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face, etc.) Strong understanding of machine learning engineering and software development Experience with data preprocessing, feature engineering, and model evaluation Experience in financial services industry What's In It For More ❯

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 … 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 More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

for High-Frequency Strong proficiency in Python , C++, or other relevant languages. Deep understanding of AI and machine learning algorithms , including time series modeling, feature engineering, and model interpretability. Experience with market microstructure , order book dynamics, and execution strategies. Background in quantitative research , algorithmic trading, or data science. More ❯

junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial More ❯

junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial More ❯

PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. 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. For immediate consideration, please apply today More ❯

PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. 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. For immediate consideration, please apply today More ❯