London, South East, England, United Kingdom Hybrid / WFH Options
US TECH SOLUTIONS LIMITED
Job Title: Software Engineer – (AI Automation & LLM ) Location: London- Hybrid role Duration: 31st December 2025- possible extension Role: We're looking for a skilled Data Engineer/Software Engineer to support a pioneering AI research project focused on Large Language Model (LLM) agents and intelligent automation. You’ll play a central role in preparing and filtering text, image … and video datasets used to train advanced AI systems, helping to ensure data quality, relevance, and safety.. Key Responsibilities Data Onboarding: Convert raw datasets into structured formats suitable for automated processing. Filtering: Apply data … cleaning, quality checks, and filtering pipelines to identify and mitigate risks in datasets. Post-Processing: Integrate filtering results to modify original datasets, repackage them, and prepare for re-ingestion. Pipeline Engineering: Design, build, and maintain scalable and efficient data pipelines. Collaboration: Work closely with researchers and technical teams to refine processes and contribute to ongoing AI automation More ❯
daily to our panel of over 24 million registered members to understand opinion and behaviors around the world. We have a strong reputation as a source of accurate data and we're trusted by the world's biggest brands to get it right, making us the most quoted market research source in the world. With operations in the … India and Asia Pacific, YouGov has one of the world's largest research networks. About Brandindex BrandIndex is YouGov's flagship brand intelligence platform that transforms consumer survey data into insights for businesses: it monitors thousands of brands globally to deliver a comprehensive view of brand health. Through continuous data collection and analysis, BrandIndex enables customers … YouGov's "Be Fast" value through rapid adaptation and delivery. When joining us, you'll find colleagues who are committed to "Getting it Right," making decisions based on data and best practices while never compromising on quality or integrity. We embrace diverse perspectives and backgrounds, and we prioritize a positive atmosphere where effective work and quick thinking are More ❯
Two Circles is a global sports agency. We drive growth for sports properties by delivering deeper connections with fans, through the intelligent use of data and technology. We work with some of the world's biggest sports organisations - including the NFL, Premier League, Formula 1, AFL, Wimbledon and UEFA - and have been named Sport Industry Agency of the … back-end development patterns. Nice to Have Experience with platforms like Braze, Google Analytics, Adobe Analytics, Contentful, or Sitecore. Experience across technology domains including CMS, CRM, Martech platforms, datapipelines, analytics, and cloud services. Exposure to CDPs (e.g., Bloomreach, Segment, BlueConic, Tealium) and data integration pipelines. Understanding of data modelling, ETL processes, and basic More ❯
those looking to make a severe impact and are excited about working in a high-growth startup. We ship fast, continuously, and iteratively, learning each step. We are data-informed. And are ok with finding the data when it's missing. Our products We have a suite of API products that automate tax-related workflows for … any internet company. Those products are Lookup , Tax , Returns , Data sharing and E-Invoicing . We may discover novel customer needs as we learn and spin up new products as required. Our API docs For you as an engineer, API documentation is probably an important part when considering a new career move. Thanks to the API docs, you … features across the stack, from back-end business logic implementation to front-end customer-facing interfaces. You would be a great fit if You have experience working with data scientists and data engineers. You have a good understanding of how machine learning works and can bring this expertise to Fonoa. You have experience working with LLMs More ❯
ll join the Platform & AI Enablement team within our GPTO Engineering organization, reporting to the Sr. Director Engineering API. The team is responsible for building and supporting the data and AI platforms that underpin our industry-leading Business Planning Software solutions. This is a highly hands-on role focused on designing, building, and operating scalable systems that integrate … event-driven, batch & streaming data flows, and AI capabilities into the platform. Your Impact Build and maintain core platform capabilities that support high-throughput batch, streaming, and AI-powered workloads. Develop resilient, observable, and scalable systems using Apache Kafka, Flink, Pulsar, and cloud-native tools. Collaborate with AI/ML engineers to operationalize models and enable generative AI … use cases such as prompt-based insights or automation. Deliver reliable integrations with data lakes, event stores, and analytics systems, ensuring data flows efficiently across the business planning ecosystem. Contribute full-stack code where needed, including React-based frontends and backend services in Java and Python. Write clean, maintainable, well-tested code with an emphasis on More ❯
ll join the Platform & AI Enablement team within our GPTO Engineering organization, reporting to the Sr. Director Engineering API. The team is responsible for building and supporting the data and AI platforms that underpin our industry-leading Business Planning Software solutions. This is a highly hands-on role focused on designing, building, and operating scalable systems that integrate … event-driven, batch & streaming data flows, and AI capabilities into the platform. Your Impact Build and maintain core platform capabilities that support high-throughput batch, streaming, and AI-powered workloads. Develop resilient, observable, and scalable systems using Apache Kafka, Flink, Pulsar, and cloud-native tools. Collaborate with AI/ML engineers to operationalize models and enable generative AI … use cases such as prompt-based insights or automation. Deliver reliable integrations with data lakes, event stores, and analytics systems, ensuring data flows efficiently across the business planning ecosystem. Contribute full-stack code where needed, including React-based frontends and backend services in Java and Python. Write clean, maintainable, well-tested code with an emphasis on More ❯
partners. Continuing to support and complement Ripple's Payments, Custody and Stablecoin business units WHAT YOU'LL DO: Design and build scalable, low-latency microservices and event-driven datapipelines to support high-throughput trading systems. Champion data engineering best practices including schema evolution, data contracts, and data quality across event streams. … Collaborate with cross-functional teams to model, publish, and maintain high-quality data products aligned with enterprise standards. Implement CI/CD pipelines, automated testing, infrastructure-as-code, and monitoring solutions to ensure operational excellence. Lead end-to-end software development efforts-from gathering requirements to deployment and production support. Contribute to engineering excellence through mentoring, code reviews … proficiency in Java or similar languages (Golang, Scala, etc.). Proven track record building large-scale, low-latency distributed systems in trading or financial environments. Deep understanding of data streaming, order management systems, and modern persistence technologies (e.g., Aurora, DynamoDB). Experience working in front-office trading environments, ideally with exposure to FX and/or crypto trading More ❯
Engineer II to join the Private Label Solutions (PLS) Machine Learning Engineering. You will join a team that builds and maintains the infrastructure for deploying ML solutions, managing datapipelines, and optimizing compute resources for our ranking problems, recommendation engines, and pricing optimization systems. Your work will contribute substantial value to our partners and EG by ensuring our … a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant impact for the business. You will gain expertise in ML infrastructure, data engineering, cloud computing, and scalable system design while working closely with our ML scientists to bring their models to life in production. This role requires an individual with a … grow with us, wed love to hear from you. In this role, you will: Design and implement scalable infrastructure for deploying ML models in production. Build and maintain datapipelines for efficient processing and feature engineering. Optimize compute resources and enhance model serving performance. Set up monitoring and logging systems for deployed ML models. Collaborate with ML scientists More ❯
Engineer II to join the Private Label Solutions (PLS) Machine Learning Engineering. You will join a team that builds and maintains the infrastructure for deploying ML solutions, managing datapipelines, and optimizing compute resources for our ranking problems, recommendation engines, and pricing optimization systems. Your work will contribute substantial value to our partners and EG by ensuring our … a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant impact for the business. You will gain expertise in ML infrastructure, data engineering, cloud computing, and scalable system design while working closely with our ML scientists to bring their models to life in production. This role requires an individual with a … with us, we'd love to hear from you. In this role, you will: Design and implement scalable infrastructure for deploying ML models in production. Build and maintain datapipelines for efficient processing and feature engineering. Optimize compute resources and enhance model serving performance. Set up monitoring and logging systems for deployed ML models. Collaborate with ML scientists More ❯
Subject Matter Expert (SME) on Technical and Functional domain areas. What we value Demonstrated experience in Python, PySpark and SQL (AWS Redshift, Postgres, Oracle). Demonstrated experience building datapipelines with PySpark and AWS. Application development experience in financial services with hands on designing, developing, and deploying complex applications.Demonstrated ability to translate business requirements in a technical design … looking for, we don't necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit. About State Street What we do. State Street is one of the largest custodian banks … markon the financial services industry. For more than two centuries, we've been helping our clientssafeguard and steward the investments of millions of people. We provide investment servicing, data& analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive More ❯
Senior Data Engineer - Product Metrics & Tooling (Contract) This one's for the data engineers who don't just ship pipelines -you care about what's being measured, and why. We're looking for a contract Data Engineer to join a small but mighty team focused on building metrics, dashboards, and data solutions … that actually help improve customer support tools in a global tech company (yes, that scale). What you'll be doing: Build and own datapipelines + success metrics for customer-facing tools Design experiments, surface insights, and create dashboards that people use Work with DS, Eng and PMs-but with a good amount of autonomy Help shape … how product support and knowledge tooling gets measured The must-haves: 5+ years hands-on with SQL & Python Strong data modelling + visualisation (Tableau, MicroStrategy etc.) Azure Data Factory, Airflow or similar integration tools Bonus: analytics mindset and experience working with customer support or product teams The Offer: Annual Salary up to £86,000 doe and More ❯
Senior Data Engineer Salary: £85K - £95K Location: London - Flexible working Data Idols are working with a fast-growing, product-led tech company to hire a Senio Data Engineer and help shape the data platform. They are looking for this person to provide technical leadership and lead projects end to end. The Opportunity … to have real technical ownership over the systems and models that power decision making across the entire organisation. In this role, you'll drive the design of robust datapipelines, evolve our warehouse strategy, and align cross-functional teams around shared, reusable models. You'll be part of a company that takes data seriously, where your … Strong Python SQL Experience working with GCP dbt If you are looking for a new challenge, then please submit your CV for initial screening and more details. Senior Data Engineer More ❯
in London 💰 Up to £80,000 per annum 🔍 The Role As an Analytics Engineer , you’ll work across a range of exciting client projects, designing and building scalable datapipelines to support analytics on large, complex datasets. This is a client-facing role, ideal for someone who thrives in a fast-paced consultancy environment and enjoys working closely … with stakeholders. You’ll also play a key role in mentoring junior team members and contributing to the wider data engineering strategy. 💼 What You’ll Be Doing Building robust, scalable datapipelines across multiple client projects Presenting insights and technical solutions directly to clients Supporting and mentoring junior engineers within the team Collaborating with cross-functional … value 🛠️ Tech & Experience We’re Looking For Strong SQL and Python skills Experience with cloud platforms such as GCP or Azure Hands-on with BigQuery , Synapse , or similar data warehouses Familiarity with data visualisation tools — D3.js or similar Proven client-facing experience Previous consultancy experience is highly desirable This is a fantastic opportunity to join a More ❯
in London 💰 Up to £80,000 per annum 🔍 The Role As an Analytics Engineer , you’ll work across a range of exciting client projects, designing and building scalable datapipelines to support analytics on large, complex datasets. This is a client-facing role, ideal for someone who thrives in a fast-paced consultancy environment and enjoys working closely … with stakeholders. You’ll also play a key role in mentoring junior team members and contributing to the wider data engineering strategy. 💼 What You’ll Be Doing Building robust, scalable datapipelines across multiple client projects Presenting insights and technical solutions directly to clients Supporting and mentoring junior engineers within the team Collaborating with cross-functional … value 🛠️ Tech & Experience We’re Looking For Strong SQL and Python skills Experience with cloud platforms such as GCP or Azure Hands-on with BigQuery , Synapse , or similar data warehouses Familiarity with data visualisation tools — D3.js or similar Proven client-facing experience Previous consultancy experience is highly desirable This is a fantastic opportunity to join a More ❯
London, Tower, United Kingdom Hybrid / WFH Options
Intec Select Ltd
reporting, P&L attribution, and compliance systems for Marketing IM Develop tools for real-time dashboards, scenario analysis, and risk monitoring (market, credit, operational) Build and maintain APIs, datapipelines, and automation for risk analytics and reporting Implement scalable solutions to monitor risks across inventories, derivatives, FX, and counterparty credit Enhance and integrate commercial off-the-shelf (COTS … Knowledge of market, credit, and operational risk, compliance, and trade lifecycle Proven in delivering complex risk and compliance solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS risk platforms (e.g., CubeLogic, deltaconX) Package £100,000 Base Salary 15% non-contributory pension Hybrid working (3 days per week More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
INTEC SELECT LIMITED
reporting, P&L attribution, and compliance systems for Marketing IM Develop tools for real-time dashboards, scenario analysis, and risk monitoring (market, credit, operational) Build and maintain APIs, datapipelines, and automation for risk analytics and reporting Implement scalable solutions to monitor risks across inventories, derivatives, FX, and counterparty credit Enhance and integrate commercial off-the-shelf (COTS … Knowledge of market, credit, and operational risk, compliance, and trade lifecycle Proven in delivering complex risk and compliance solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS risk platforms (e.g., CubeLogic, deltaconX) Package £100,000 Base Salary 15% non-contributory pension Hybrid working (3 days per week More ❯
be part of a collaborative, high-performing team that values technical excellence, an ownership mindset, and humility. The ideal candidate is an experienced engineer with strong Python skills, data engineering expertise, and comfort working in fast-paced trading environments. Key Responsibilities Building and maintaining resilient treasury systems for trading, liquidity management, and funding operations using Python as the … core language Engaging directly with traders and treasury stakeholders during live market situations, rapidly understanding requirements and delivering solutions on the fly Designing, managing, and optimizing datapipelines for real-time and historical treasury data with focus on accuracy, reliability, and performance Contributing to deployment, monitoring, and scaling of systems while working with operations teams to … in software engineering, ideally in front office finance , fintech , high-frequency trading , or technology-driven startups Expert-level Python skills - designing, debugging, and optimizing complex applications Very strong data capabilities with Pandas , NumPy , SQL , real-time data processing, and ETL Familiarity with DevOps practices including Linux , cloud platforms , CI/CD , and containerization (Docker/Kubernetes More ❯
Job Description Role: Data Engineer Locations: Manchester (must be willing to travel to client sites throughout the UK on an ad hoc basis) Level: Specialist Salary: Competitive salary and package (Depending on level of experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history … to develop a wide range of new skills on the job. In our team you will: We typically work hand-in-hand with our clients to build great data products. To do this, we need experienced, capable engineers who can both deploy their own mastery to get things done hands-on and successfully lead others in doing so. … experience, and learn from colleagues working in very diverse problem spaces. We are looking for experience in the following skills: You've spent a number of years building datapipelines and products using various platforms and languages, for example batch warehouses driven by ELT and real-time insights. You're fluent in at least one of the core More ❯
Role: Technical Product Owner Industry: Sports Data Salary: Up to £80,000 Location : London/Hybrid Are you a talented Product Owner with a good understanding of data engineering concepts? Are you interested in progressing to the role of Product Manager over time? Are you excited by Sports/Sports data and taking ownership … of a brand-new team? If so, this could be the perfect next role for you! This global leader in real-time sports data delivery is used by some of the worlds largest betting operators. Having recently hired a new Chief Product Officer, the Product team is only a few months old and this role will join a … newly formed data engineering/analytics team. What are they looking for: 2-3 years as a Product Owner/Product Manager Good understanding of data engineering concepts and datapipelines Familiarity with data analytics practices, modern BI tools, and reporting workflows Experience working in agile environments with cross functional teams Previous More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Burns Sheehan
Role: Technical Product Owner Industry: Sports Data Salary: Up to £80,000 Location : London/Hybrid Are you a talented Product Owner with a good understanding of data engineering concepts? Are you interested in progressing to the role of Product Manager over time? Are you excited by Sports/Sports data and taking ownership … of a brand-new team? If so, this could be the perfect next role for you! This global leader in real-time sports data delivery is used by some of the worlds largest betting operators. Having recently hired a new Chief Product Officer, the Product team is only a few months old and this role will join a … newly formed data engineering/analytics team. What are they looking for: 2-3 years as a Product Owner/Product Manager Good understanding of data engineering concepts and datapipelines Familiarity with data analytics practices, modern BI tools, and reporting workflows Experience working in agile environments with cross functional teams Previous More ❯
Experience designing cloud enterprise solutions and supporting customer projects to completion. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. Preferred qualifications: Experience designing applications powered by Large Language Models and leading their implementation. Experience working with recommendation engines, datapipelines, or … distributed machine learning. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Understanding of contact center technologies and platforms (e.g., Avaya, Genesys, Cisco … The Google Cloud Consulting Professional Services team guides customers through their cloud journey to help businesses thrive. We help customers transform their business using Google's global network, data centers, and software infrastructure. As part of an innovative team, you will help shape the future of businesses and connect with customers, employees, and partners. As a Cloud AI More ❯
Data Engineer, Commodities £135,000 Basic + Extensive Benefits, London My Commodities Trading Client are looking for a Data Engineer to join the trade surveillance team, develop ingestion pipelines and frameworks to support strategic decision making. The team has recently built a new data lake house and ingestion infrastructure. It is entering a phase … and re-engineering to enhance the speed, ease, and quality of ingestion across the portfolio. Key Requirements: Strong proficiency in Python and PySpark Successful track history in a Data Engineering role including Database Management (ideally SQL), Data Orchestration (ideally Apache Airflow or Dagster), Containerisation (ideally Kubernetes and Docker) .Data Pipelines (big data technologies and More ❯
Data Engineer, Commodities £135,000 Basic + Extensive Benefits, London My Commodities Trading Client are looking for a Data Engineer to join the trade surveillance team, develop ingestion pipelines and frameworks to support strategic decision making. The team has recently built a new data lake house and ingestion infrastructure. It is entering a phase … and re-engineering to enhance the speed, ease, and quality of ingestion across the portfolio. Key Requirements: Strong proficiency in Python and PySpark Successful track history in a Data Engineering role including Database Management (ideally SQL), Data Orchestration (ideally Apache Airflow or Dagster), Containerisation (ideally Kubernetes and Docker) .Data Pipelines (big data technologies and More ❯
new technologies Perception Model Lifecycle Management: Lead the end-to-end development of scalable ML models for critical perception tasks (object detection, tracking, scene understanding, mapping), including MLOps, datapipelines, and optimization for robust onboard deployment Team Leadership & Mentorship: Build, mentor, and lead a high-performing team of machine learning engineers, fostering a culture of innovation, technical excellence … limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us . Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply … for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with More ❯
possible in research. We do impactful work with amazing organisations ranging from well-known brands to life-changing non-profits. Join us! About the role As a Senior Data Scientist you will be instrumental in shaping the technical backbone of the analytics function at Focaldata. In this role, you'll develop advanced R tools and scalable solutions to … implementation of cutting-edge modelling techniques. You'll collaborate on diverse projects, enhance our analytics infrastructure, and mentor team members in best practices. If you're passionate about data science, skilled in R, and eager to make an impact in public opinion and research, we'd love to hear from you. What you'll do This is a … will be: Build internal R packages to automate and standardise core tasks like weighting, modelling, and charting. Develop scalable tooling to support our research and analytics teams-from datapipelines to custom dashboards. Lead the development and deployment of advanced modelling techniques (e.g. multilevel regression, segmentation, random forest models, text analysis). Collaborate with the wider team on More ❯
