high-impact role requiring deep technical knowledge, strong product leadership, and a proven track record of delivering AI/ML solutions in complex, data-rich environments. You'll work closely with other product teams and cross-functional partners, to conceptualize and deliver AI capabilities that transform how product … Experience with natural language processing (NLP) techniques, large language models, or other AI methods for text-based and structured data. Strong understanding of datapipelines, data modeling, and MLOps. Experience in working on complex collaborative products that are architected as modular and extensible platforms or at … impact. Experience in mentoring and coaching junior colleagues, as well as leading across the company through indirect influence. Educational background in computer science, data science, or related practice. What's in it for you? Be part of building the world's first and best Product Management Platform that More ❯
Senior Data Scientist, MAPLE - Recommender System Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling techniques? Join us and you … advancing the state of Amazon's science by publishing research! Key job responsibilities Participate in the design, development, evaluation, deployment and updating of data-driven models for shopping personalization. Develop and test new signals for improving recommendation models. Use supervised and uplift learning algorithms to improve customer experience. …/B tests and conduct statistical analysis on their results. Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers. Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with More ❯
across teams, ensuring smooth and efficient project execution. Operational Excellence & Risk Management Identify and mitigate technical risks and obstacles, ensuring that the product development pipeline runs smoothly and efficiently. Ensure the security, performance, and scalability of products through proactive monitoring and improvements. Ensure adherence to high coding standards, software … hands-on experience in modern software development technologies (e.g., Java, Python, microservices, cloud platforms like AWS, Azure, etc.). Expertise in software architecture, data architecture, and system design, with an ability to lead and influence technical decision-making. Drive innovation toward building high-scalable, real-time datapipelines and data distribution solutions. Experience with enterprise integration patterns, including event-driven architectures and messaging systems. Leadership & Collaboration Comfortable acting as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives. Exceptional leadership, communication, and interpersonal skills, with the ability to More ❯
leveraging our combined financial strength and importantly ensure our people feel the benefits of our joint capabilities. We are currently recruiting for a Data Platform Support Lead to join our established and experienced Chief Information Office team here at RSA on a hybrid basis. Role Requirements As the … Data Platform Support Lead you will manage a team of Production support engineers assigned to data platform. You will monitor and manage the health and performance of Azure Data Factory pipelines, Databricks workflows, and SQL databases to ensure seamless data processing. You … will troubleshoot and resolve production incidents in Azure-based datapipelines, conducting root cause analysis and implementing preventive measures. You will oversee and optimize the performance of Databricks notebooks and clusters to support efficient data transformations and analytics. You will ensure the reliability and scalability of More ❯
effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: Design, develop, and maintain high-performance trading systems and infrastructure to support systematic trading strategies Develop and maintain robust datapipelines for real-time and historical market data, ensuring data integrity and accessibility Conduct rigorous testing and validation of trading systems and datapipelines to ensure reliability and accuracy Work closely with cross-functional teams - including researchers, traders, and technology - to align More ❯
Snowflake Data Engineer - £60,000-£80,000 My client is looking for a skilled Data Engineer with expertise in Snowflake to join their team. You will build and manage datapipelines, ensure integration of data into Snowflake and implement data … a fast-paced, technology driven business and work alongside experienced colleagues at all different levels. Requirements: -Snowflake -Cloud-based platform experience -Experience building datapipelines in Snowflake -Stakeholder management Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the More ❯
Snowflake Data Engineer - £60,000-£80,000 My client is looking for a skilled Data Engineer with expertise in Snowflake to join their team. You will build and manage datapipelines, ensure integration of data into Snowflake and implement data … a fast-paced, technology driven business and work alongside experienced colleagues at all different levels. Requirements: -Snowflake -Cloud-based platform experience -Experience building datapipelines in Snowflake -Stakeholder management Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the More ❯
Snowflake Data Engineer - £60,000-£80,000 My client is looking for a skilled Data Engineer with expertise in Snowflake to join their team. You will build and manage datapipelines, ensure integration of data into Snowflake and implement data … a fast-paced, technology driven business and work alongside experienced colleagues at all different levels. Requirements: -Snowflake -Cloud-based platform experience -Experience building datapipelines in Snowflake -Stakeholder management Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the More ❯
Snowflake Data Engineer - £60,000-£80,000 My client is looking for a skilled Data Engineer with expertise in Snowflake to join their team. You will build and manage datapipelines, ensure integration of data into Snowflake and implement data … a fast-paced, technology driven business and work alongside experienced colleagues at all different levels. Requirements: -Snowflake -Cloud-based platform experience -Experience building datapipelines in Snowflake -Stakeholder management Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the More ❯
Data Scientist - Customer Lifetime Value Hybrid in London/Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data … We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is … and demonstrating your skills in several key areas, including but not limited to: Model development: Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Reach Industries
change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and … As an AI Engineer at Reach Industries, you will be responsible for developing and implementing state-of-the-art AI models for visual data analysis and inference. Working collaboratively with cross-functional teams, your focus will be on understanding business requirements and designing optimal AI solutions. Develop and … deploy AI models for visual data analysis and inference using Python and C++, OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy. Collaborate with our data scientists and domain experts to understand project requirements and design optimised AI solutions. Preprocess and analyse visual data using More ❯
Full Stack Data Scientist - AI & Knowledge Systems 3-6 month contract Outside IR35 Hybrid (2-3 days per week in London) About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data … models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on datapipelines and infrastructure Work within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into … technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, dataMore ❯
Full Stack Data Scientist - AI & Knowledge Systems 3-6 month contract Outside IR35 Hybrid (2-3 days per week in London) About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data … models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on datapipelines and infrastructure Work within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into … technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, dataMore ❯
Data Engineer - Trading Systems - Quant Fund A leading Quant Fund are looking to build out their Systematic Trading platform, with a focus on the data platform used by Quants and Researchers for their data modelling. You'll be specifically building out their Front Office … Data framework, with a focus on building a high performance framework that can be used to support Systematic Trading. Within this role, you'll be: Taking requirements directly from Quants and Traders. Utilising modern technologies to build a platform for modelling. Building out DataPipelines utilising … Python and cloud-based tooling. Optimizing the performance of the data lake. Designing the underlying data infrastructure of the Trading environment. They are looking for those who: Have worked in a Quantitative Trading environment previously Have a track record of working closely with Quant and Traders More ❯
Data Engineer - Trading Systems - Quant Fund A leading Quant Fund are looking to build out their Systematic Trading platform, with a focus on the data platform used by Quants and Researchers for their data modelling. You'll be specifically building out their Front Office … Data framework, with a focus on building a high performance framework that can be used to support Systematic Trading. Within this role, you'll be: Taking requirements directly from Quants and Traders. Utilising modern technologies to build a platform for modelling. Building out DataPipelines utilising … Python and cloud-based tooling. Optimizing the performance of the data lake. Designing the underlying data infrastructure of the Trading environment. They are looking for those who: Have worked in a Quantitative Trading environment previously Have a track record of working closely with Quant and Traders More ❯
Manchester Area, United Kingdom Hybrid / WFH Options
55 Exec Search
in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Senior AI/ML Engineer – Behavioural Biometrics/Data Science – Early Equity Opportunity Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling seamless, intelligent security systems … the ideal time to get in early and make a defining impact. We’re seeking a Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI systems from research …/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle, from R&D and prototyping to robust deployment, and More ❯
The anticipated start date is 1st June 2025 or as early as possible thereafter. This is an exciting opportunity for an enthusiastic Astronomical Data Scientist to work within the Cambridge Centre of Excellence in Astronomical Data (CamCEAD) at the Institute of Astronomy (IoA) as part of … Cambridge team has developed the spectroscopic pipelines for WEAVE and 4MOST and has responsibility for the final development, commissioning and operations of the data pipelines. We are also developing the data flow system and housing the survey operations centre for MOONS. The successful candidate will join … our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines. Responsibilities range from monitoring instrument health and scientific quality of the data, tracking progress of the surveys, to preparing More ❯
impact. Role Overview: As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug … target interactions, and biomarker discovery. Build datapipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure models meet scientific goals. Continuously … monitor and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and dataMore ❯
per week in office) · Full-time · Senior About the company My client are rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing. By enabling users to define different datapipelines per use … Managers in my client are key in our effort to meet our customer’s expectations and help them utilize their observability and security data in the most efficient way possible. We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Their Technical … software engineers and DevOps all the way to the C-suite. Responsibilities Solve customer’s technical problems by adopting the platform, integrating new data and existing integrations. Understanding customers technical requirements and business goals to consistently create new artifacts and deliver value. Lead the onboarding process, from new More ❯
per week in office) · Full-time · Senior About the company My client are rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing. By enabling users to define different datapipelines per use … Managers in my client are key in our effort to meet our customer’s expectations and help them utilize their observability and security data in the most efficient way possible. We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Their Technical … software engineers and DevOps all the way to the C-suite. Responsibilities Solve customer’s technical problems by adopting the platform, integrating new data and existing integrations. Understanding customers technical requirements and business goals to consistently create new artifacts and deliver value. Lead the onboarding process, from new More ❯
of the most exciting aerospace ventures of our time. An example of products you'll be working on is automated integration test facilities, data collection from rigs and aircraft into our datapipelines and how multimodal data is served to the business. You will … fair, we may ask you questions related to these aspects during the application process. For more information on how we will use your data, see our Legal section. More ❯
videos, and reviews. But have you ever wondered how we organize those reviews and photos and the insights we derive from them into data products? That's where the core content group and mining and text intelligence team comes in. We're looking for experienced engineers who are … to learn and contribute to building applications using generative AI. You'll have the opportunity to work with large-scale visual and textual data sets to build impactful user-facing products and features utilizing the latest LLMs and ML models. You will also be responsible for the productionization … and deployment building datapipelines or ETLs to create new online and offline data products. Join us in leveraging machine learning across Yelp to create visual, textual, and multi-modal models to offer new products based on our unique content. If you are enthusiastic about learning More ❯
strong Python backend skills, you'll create intuitive tools that enable non-technical users to build robust MLOps pipelines, focusing on platform maturation, data scale, quality, and automation. Working alongside experienced senior engineers, you'll bring a data engineering mindset to the team, building sophisticated systems … than creating individual pipelines, you'll develop the frameworks and tools that allow users to create their own pipelines efficiently, while advocating for data engineering best practices across the team. As a key member of our engineering team, you'll shape the future of our platform's data capabilities during a crucial growth phase. Success in this role means creating robust, user-friendly systems that democratize data engineering, allowing our clients to build and maintain sophisticated datapipelines without requiring deep technical expertise. What would set you up for success coming into More ❯
play a key role in designing, developing, and maintaining a cutting-edge AI-powered platform. You'll integrate large language models (LLMs), build datapipelines, and manage both front-end and back-end technologies to deliver an efficient and user-friendly platform. Collaborating with a team of engineers … and data scientists, you'll push the boundaries of AI innovation, helping shape the future of organisational efficiency. The Company Our client is an early-stage startup dedicated to advancing AI technology, focusing on building transformative AI-powered platforms. As a Full-Stack Software Engineer, you'll be More ❯
AI models and cloud-native infrastructure. You'll work on innovative projects that harness the power of LLMs, API integrations, and real-time datapipelines to solve real-world business problems for enterprise clients. You'll be part of a collaborative and forward-thinking team, with mentorship from … secure, and cost-effective AI-driven applications that leverage tools like Lambda, DynamoDB, and Redshift. Integrating APIs from LLM providers and other external data services You'll connect a variety of APIs (including Claude, OpenAI and others) to enable dynamic conversational agents and intelligent automation. Building Retrieval-Augmented … of AI model outputs. Writing clean, production-ready Python code You'll use Python to build and orchestrate AI workflows, integrate APIs, manage datapipelines, and support cloud-native deployments. Your code will be critical in ensuring reliability, scalability, and performance across all AI systems. Developing and maintaining More ❯