Data Scientist - Finance/Investments London – 5 days in office Up to £120,000 + Strong Bonus Potential About the Role We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to … cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data scientists and researchers to productionise models. Managing both cloud-based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ … years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (dataingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc. More ❯
Data Scientist - Finance/Investments London – 5 days in office Up to £120,000 + Strong Bonus Potential About the Role We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to … cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data scientists and researchers to productionise models. Managing both cloud-based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ … years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (dataingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc. More ❯
organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform dataingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯
organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform dataingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯
organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform dataingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯
london (city of london), south east england, united kingdom
Capgemini
organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform dataingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯
london, south east england, united kingdom Hybrid / WFH Options
Jobs via eFinancialCareers
Overview: Tasks: Lead software development initiatives, turning customer needs into innovative data products. Company: Join a leader in analytics for top financial institutions worldwide. Benefits: Enjoy flexible hybrid work, competitive salary, 25 days leave, and private medical cover. Why this job: Be part of a transformative team shaping the future of financial software with real impact. Qualifications: Experience in … B2B product management and data architecture is essential; tech-savvy candidates preferred. Other info: Collaborate with diverse teams and engage in exciting projects across technology and data science. Salary range: £60-90,000 base This firm builds analytics and business intelligence products that are integral to how the world's largest corporate and investment banks, asset managers and … that delights them. As a Product Manager you will be the owner of multiple software development initiatives. Working closely with the customer and the technology, business, relationship management, operations, data science and governance teams you will: Discover the underlying unmet needs from the customers; Define and agree the outcomes and acceptance criteria; Orchestrate the design of the prototype; Help More ❯
Customer Solutions Consultant – SaaS/Data/Onboarding – London (Hybrid, 3 days onsite) Are you the kind of person who gets a buzz from turning complexity into clarity – the one who joins a messy customer onboarding process and just makes it work ? This is a chance to join a small but fast-growing tech-for-good startup that’s … building smart, data-driven products making a real-world impact. They’ve scaled rapidly over the past year and are now looking for someone to take full ownership of customer onboarding and implementation - making sure new clients see value quickly and stay long term. They’re hiring a Customer Solutions Consultant - part technical problem-solver, part customer champion – to … this is worth a look. What you’ll be doing Owning the full customer onboarding and implementation process Working directly with client technical teams to integrate and activate their data Troubleshooting dataingestion, compatibility, and configuration issues Tracking progress and maintaining close communication through the first month’s post-sale Joining late-stage sales calls to clarify More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
Data Software Engineer/Developer (Python Databricks FastAPI) London to £90k Are you a data centric Software Engineer with strong Python and SQL skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cybersecurity … insurance markets. As a Data Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for dataingestion, transformation, mass parallel orchestration of network IO … and will model data for a variety of purposes. You'll also collaborate with the Infrastructure team to maintain Infrastructure as Code and develop new features on the engineering platform. Location/WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You More ❯
Senior Data & ML Engineer? London (Hybrid) or Cardiff/South West with travel? £90,000 - £100,000 DOE What You'll Do: Take the lead on building and scaling large-scale web scraping and dataingestion systems that form the core of an AI-driven product suite used by major enterprise clients. From crawling hundreds of dynamic … sources to powering downstream LLM features, your work will be the foundation of everything the platform delivers. You'll own projects end-to-end - designing data pipelines, integrating with vector databases, and deploying intelligent features using Retrieval-Augmented Generation (RAG) and fine-tuned LLMs. What You'll Bring: Deep hands-on experience with web scraping tools and frameworks (Scrapy … Playwright, Puppeteer, etc.) 5+ years in data engineering, ML engineering, or similar technical roles Strong Python skills and comfort working across complex ingestion workflows Experience managing NoSQL and vector databases at scale (MongoDB, Weaviate, Pinecone, etc.) Solid understanding of modern data pipeline tools (Airflow, Prefect, Dagster) Practical experience with LLM development, embeddings, and RAG architectures Familiarity with More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
Senior Software Engineer/Developer (Python FastAPI Data) London to £90k Are you a data centric Software Engineer with strong Python and SQL skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cybersecurity … insurance markets. As a Senior Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for dataingestion, transformation, mass parallel orchestration of network IO and … will model data for a variety of purposes. You'll also collaborate with the Infrastructure Team to maintain Infrastructure as Code and develop new features on the engineering platform. Location/WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You have More ❯
a set of old and new platforms that serve the Client's FX business in multiple countries by providing the ability for real-time derivatives pricing, risk management and data analytics. Our platform is starting to replace a set of the existing risk applications with new generation ones with web-based UI, server-side computing and grid technology, distributed … and motivated FX Risk Lead Java Developer. Key Responsibilities Design, develop, and maintain Java-based microservices for high-throughput application Integrate and optimize Apache Ignite based solution: in memory data grid for FX trades processing Implement real time dataingestion and processing pipelines using Apache Kafka/Solace messaging Design and maintain robust Mongo DB/Oracle … data models and queries for data persistence Ensure application scalability and reliability in cloud-hosted Linux based environment Collaborate with DevOps to containerize services and deploy using CI/CD pipelines Conduct performance tuning, code reviews, and troubleshooting production issues Document system architecture, design decisions, and development processes What we want from you Strong hands-on experience with More ❯
We are currently looking for a Power BI Self-Service Lead to join the innovative and dynamic Data Tech team. You'll be part of a renowned organisation, working on solutions that serve a wide audience of loyal customers and colleagues. With strong ethical values and technology leaders who truly understand data platforms and management, this is an … exciting time to join as we evolve into a digital-first, data-led organisation. As Power BI Self-Service Lead, you'll play a key role in this transformation, reporting directly to our Data Platform Manager. The Opportunity In this role, you'll drive responsible usage of our newly built data platform, ensuring it evolves with cutting … and enhancing our Lab proposition, you'll foster a culture of innovation, develop governance frameworks, and implement tools that provide consistent, supportable solutions for activities such as self-service dataingestion and transitioning processes from Lab to Factory. Key responsibilities include: Drive Innovation : Lead the development and delivery of our Lab proposition to elevate practitioner self-service and More ❯
context, and clarity are essential. The Role We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From dataingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform. As part of the founding team … challenges, exposure to the latest AI developments 💬 End-to-end ownership + product influence 🌍 Flexible location (London/Athens hubs) Key Responsibilities Architect and implement the backend platform for data processing, search, and advanced reasoning Design scalable systems and APIs for data-intensive, low-latency workflows Optimize database interactions for high-speed visual search and reasoning Manage cloud … just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code More ❯
context, and clarity are essential. The Role We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From dataingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform. As part of the founding team … challenges, exposure to the latest AI developments 💬 End-to-end ownership + product influence 🌍 Flexible location (London/Athens hubs) Key Responsibilities Architect and implement the backend platform for data processing, search, and advanced reasoning Design scalable systems and APIs for data-intensive, low-latency workflows Optimize database interactions for high-speed visual search and reasoning Manage cloud … just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code More ❯
context, and clarity are essential. The Role We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From dataingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform. As part of the founding team … challenges, exposure to the latest AI developments 💬 End-to-end ownership + product influence 🌍 Flexible location (London/Athens hubs) Key Responsibilities Architect and implement the backend platform for data processing, search, and advanced reasoning Design scalable systems and APIs for data-intensive, low-latency workflows Optimize database interactions for high-speed visual search and reasoning Manage cloud … just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code More ❯
london (city of london), south east england, united kingdom
Inferity AI
context, and clarity are essential. The Role We’re looking for a Founding Software Engineer to lead backend and infrastructure development for our category-defining video understanding product. From dataingestion pipelines to scalable APIs, you’ll blend backend engineering and DevOps to turn cutting-edge AI into a production-ready platform. As part of the founding team … challenges, exposure to the latest AI developments 💬 End-to-end ownership + product influence 🌍 Flexible location (London/Athens hubs) Key Responsibilities Architect and implement the backend platform for data processing, search, and advanced reasoning Design scalable systems and APIs for data-intensive, low-latency workflows Optimize database interactions for high-speed visual search and reasoning Manage cloud … just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code More ❯
Role Title: Salesforce Data Cloud Technical Architect Location: London/Manchester/Leeds/Birmingham Salary: Competitive salary and package dependent on experience Career Level: Associate Manager to Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. … global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Salesforce Data Cloud Technical Architect, you will: Work as part of an integrated Accenture and client team, defining, architecting, designing, delivering and deploying Data Cloud based solutions to our clients … Design and implement end-to-end data architectures across Salesforce Data Cloud and other Salesforce Core Clouds (Sales, Service, Marketing, Commerce), with a strong focus on dataingestion, unification, and scalable target activation. Drive creativity and innovation in solutions to deliver value for clients and Accenture Support pre-sales activities including shaping and presenting solutions, and More ❯
highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London. The ideal candidate will have a strong background in AI/ML frameworks, scalable system design, and Python-based development, along … architecture and development of AI/ML solutions, ensuring scalable and efficient design. Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks. Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications. Optimize model performance and manage end-to-end ML lifecycle (dataingestion, training, evaluation, deployment … . Mentor junior engineers and contribute to code reviews, best practices, and technical decision-making. Implement MLOps pipelines for continuous training, deployment, and monitoring of models. Ensure compliance with data privacy and security regulations (GDPR, etc.). Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field. 7+ years of professional software More ❯
Among your responsibilities, you will: Own and influence architecture decisions across the Portfolio, ensuring it is in alignment with BCG standards, and design principles. Own the annual DDP refresh (Data & Digital Platforms) architecture for the portfolio that covers tech maturity, road mapping, integrations, security, and data strategies. Create reference architecture focused on design principles, detailed APIs, and major … Valuing simplicity and being unafraid to challenge technical constraints and procedures to enable an agile, high-performing team. Comfortable partnering with Product Owners and technical leadership and providing a data-driven approach to decision making, both in the day-to-day management and in making strategic trade-offs Committing to cross-functional collaboration to achieve the best results for … decisions Being flexible to be available outside of normal business hours for international calls as needed What You'll Bring Education and Certifications Bachelor's degree in information science, data management, computer science or related field. 15+ years of relevant experience in IT architecture with strong technical background, preferably in large international organizations Experience with scalable architectures, API management More ❯
NLP models for large-scale SaaS products and APIs Write clear, modular, testable Python code and deploy via modern CI/CD pipelines Improve performance and scalability of models, dataingestion, cleaning, and pipelines Explore new ML/NLP techniques and keep the team up to date with research trends Propose cloud architectures and ensure robust ML operations … MLOps) Collaborate through code reviews, knowledge sharing, and documentation What We're Looking For Strong experience working with textual data and NLP Proven ability to write clean, testable Python code Familiarity with SQL and NoSQL/graph databases Hands-on experience with ML/DL frameworks (eg PyTorch, TensorFlow, Hugging Face) End-to-end cloud deployment experience (AWS, GCP … or Azure) Solid grasp of data structures, modelling, and cloud-based architecture A systems thinker with a passion for MLOps best practices Strong maths/stats grounding and ability to collaborate with research-oriented colleagues Please apply for more information Machine Learning Engineer, ML Engineer, Hybrid, up to 110k More ❯
of solutions Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers … to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient dataingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to … an added advantage Understanding of web APIs, contracts and communication protocols Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj More ❯
of solutions Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers … to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient dataingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to … an added advantage Understanding of web APIs, contracts and communication protocols Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj More ❯
of solutions Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers … to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient dataingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to … an added advantage Understanding of web APIs, contracts and communication protocols Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj More ❯
london (city of london), south east england, united kingdom
Sahaj Software
of solutions Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers … to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient dataingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to … an added advantage Understanding of web APIs, contracts and communication protocols Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj More ❯