251 to 275 of 304 Data Engineering Jobs in London

looking to expand its Machine Learning team in London. With backing from major institutional capital and a strong track record in global macro strategies, the firm is scaling its data and AI capabilities to support ambitious growth plans. This is a rare opportunity to take full ownership of the ML lifecycle in a highly selective, performance-driven environment. You … technically advanced team working on some of the most complex forecasting and signal generation challenges in finance. What You'll Do: Design and implement end-to-end ML workflows: data ingestion, model development, and deployment Automate and optimize large-scale data pipelines Develop forecasting and signal processing models tailored to macroeconomic data Collaborate closely with investment professionals … and data scientists Contribute to the build-out of scalable ML infrastructure What We're Looking For: Proven commercial experience doing hands-on ML, ideally in a fast-paced or startup environment Proven track record working across the full ML lifecycle Strong coding and data engineering skills Background in finance, trading, or macroeconomic forecasting is essential Experience More ❯

Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Software Engineer Location: London - We offer a range … speak to your recruiter about the options for this particular role Grade: GG08-GG10 Referral Bonus: 5000 What You'll Be Doing The Software Engineer role is predominantly a data engineering position with the requirement for coding skills in order to implement and prototype various data manipulation methodologies. The ideal candidate would be a software engineer with … an educational background in Computer Science or a data scientist with proven skill in software engineering. The Software Engineer sits on the cutting edge of internet enabled investigations and the candidate will be working within a team of multiple contractors from across the space on difficult but interesting investigation problems. The candidate should ideally be familiar with some of More ❯

experienced Analytics Architects. As a global consultancy firm working across the private and public sectors, they specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Some of the things you'll be doing: Assisting global partners to maximise returns on their Analytics investment. Working directly with clients to understand their business strategy, programme … requirements & processes Utilising specialist knowledge of analytics, data warehousing and data engineering to support the development and expansion of the solution footprint to meet clients' articulated business strategy. Utilising your deep knowledge of the Microsoft Ecosystem & supporting the development of more junior team members The Job itself: Analytics Architect Hybrid - 2-3 days p/w in More ❯

API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. … and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday scheme More ❯

solving complex technical challenges and keeping critical platforms running smoothly? If so, we'd love to hear from you. Method resourcing are excited to be partnered with a specialist data consultancy with an impressive client portfolio - and they are looking for a Senior Technical Support Engineer to become the go-to problem solver for the cloud and data … and quick turnarounds Monitor and troubleshoot systems to keep them stable, secure, and high performing Contribute to automation and infrastructure-as-code initiatives (Terraform, scripting in Python) Support the Data Engineering team with pipeline operations, maintenance, and optimisation Create documentation, onboarding guides, and repeatable support processes Lead incident and change management processes, including root cause analysis Bridge the … Infrastructure-as-Code tools (Terraform preferred) and a good understanding of automation principles Strong problem-solving skills, able to get to the root of issues quickly across cloud and data platforms Confident communicator who can collaborate effectively with engineers and explain technical matters clearly to non-technical colleagues Bonus points if you have experience with: Data warehouse platforms More ❯

and technical designs. Key areas of focus will include: Responsible for software architecture, development, integrationand maintainability of software Responsible for secure, compliant, and robustsystem design for industrial applications Supporting data engineering for both structured (SQL) and unstructured (RAG) data, with an emphasis on streaming and time-series data Your Personality Excited to solve problems, regardless of … technology stack You possess strong technical leadership skills, with the ability to explain technical needs and recommendations effectively to team members and stakeholders You are motivated to drive the engineering best practices and standards, fostering a high-performing team culture Your Experience Architected, developed, deployed and maintained scalable software and/or AI/ML solutions Wrote production-grade … well-tested code (Python, C++, C#). Ideally, had experience with integrating ML features into C++ applications Ensured secure handling of sensitive operational data and compliance with relevant standards Developed and maintained robust APIs for system integration Drove operational excellence and continuous improvement Implemented and managed monitoring, observability, and troubleshooting tools for deployed systems Designed and handled containerised applications More ❯

systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative AI frameworks where applicable. Develop data pipelines and integrate models into production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills … Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark, Hadoop) is a plus. More ❯

systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative AI frameworks where applicable. Develop data pipelines and integrate models into production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills … Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark, Hadoop) is a plus. More ❯

of scalable Generative AI solutions. Key Responsibilities Lead the fine-tuning, distillation, and deployment of LLMs for high-impact use cases in clinical research and commercial life sciences. Drive data engineering processes to convert structured and unstructured data into high-quality, trainable datasets. Design and implement AI agents using IQVIA's Agentic AI framework to enable autonomous … leadership and mentorship to junior scientists and engineers. Serve as a key technical voice in client engagements-translating complex AI concepts into actionable business insights. Collaborate cross-functionally with engineering, product, and domain experts to ensure AI solutions align with customer needs and compliance frameworks. Contribute to publication strategies and represent IQVIA at leading AI/ML conferences (e.g. More ❯

Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon SageMaker . This role is based … site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. Optimise model performance and scalability. Monitor and maintain deployed models, ensuring reliability and accuracy. Stay up-to … date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity More ❯

with an average of between £19,000 and £36,000 in profit share Softwire is one of the UK's leading technology consultancies, offering services in software engineering, design, innovation, cloud, mobile, data and AI. We deliver high-profile and cutting-edge digital projects for household names across the public and private sectors. Softwire was founded on one … experience in technical roles, including at least 4 years in an agency/consultancy context. You have deep knowledge and proven experience in least one of the following areas: Data engineering Cloud platform architecture/migration (AWS and/or Azure) Digital platform architecture and enterprise modernisation AI engineering You have a track record delivering high-value More ❯

Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products … they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Commerce, Data & Identity (CDI) provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce, identity, and growth, as … well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. The ideal candidate is a visionary leader with a proven track record More ❯

have the opportunity to partner across multiple business areas building scalable innovative solutions. This role would suit an ambitious, seasoned engineer who wants to be part of an expanding engineering team having a big impact. Responsibilities Design and develop scalable, high-performance internal platforms and applications for core business functions including Credit Trading, FX Hedging, Portfolio Monitoring, and Treasury. … Collaborate cross-functionally with investment, operations, and data teams to translate complex business workflows into efficient, maintainable software solutions. Drive the full software development lifecycle - from technical design and implementation to testing, deployment, and production monitoring. Contribute across the stack, including backend services, frontend interfaces, and data engineering pipelines as needed. Provide technical leadership and mentorship to … more junior team members, fostering a culture of learning, accountability, and continuous improvement. A degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience in a professional environment. Proven experience designing and developing robust APIs, microservices, and backend systems that power business-critical workflows. Experience with at least one of the following languages: Go More ❯

Description:Solution Architect - GDPR Implementation (Short-Term Engagement)We are seeking a Solution Architect for a short-term engagement to lead the design and implementation of a GDPR-compliant data solution. The ideal candidate will collaborate closely with business stakeholders to understand GDPR and data retention requirements, and architect a comprehensive solution that addresses both legacy and strategic … data sources. Key responsibilities include: Translating business requirements into scalable and compliant data architecture.Designing, documenting, and presenting solution designs to enterprise architecture forums.Partnering with data engineering teams to implement the end-to-end GDPR solution.Supporting testing and validation of the implemented solution. Required Skills: Strong expertise in Data Architecture.Proven experience in stakeholder engagement and requirement … gathering.In-depth understanding of GDPR and data retention policies.Ability to communicate and present technical designs effectively. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

Serverless and/or GCP) Commitment to quality through automation and testing Experience maintaining and observing production systems (monitoring, tracing, RUM) Proven history of working in teams with strong engineering practices Ability to balance technical decisions with product value and user outcomes Enthusiasm for learning, experimenting, and continuous improvement The Role: Work in a cross-functional squad alongside product … and internal teams to understand needs and deliver value Operate across multi-cloud environments (AWS, GCP, Azure) Drive system observability and reliability with tools like Datadog Help shape our engineering culture by mentoring, sharing knowledge, and encouraging best practices Push boundaries, challenge assumptions, and ensure delivery of meaningful solutions Tech Stack: Cloud: GCP, AWS, Azure Languages: Python, TypeScript, JavaScript … maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process. For more information about this role, please contact: Head of Data Engineering Manchester (Hybrid)Permanent Full-timeSalary: £100,000 - £120,000 (DOE) A major UK financial services organisation is seeking Integration Developer - Salesforce Education Cloud-Student Systems ImplementationIntegration Developer More ❯

Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster, more … transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state … of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. More ❯

Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster, more … transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state … of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We’re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. More ❯

the Forbes 2024 list of America's Best Startup Employers.Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS. DevRev is conversational AI at … work, right now. Patented technology unifies siloed data from legacy tools like Salesforce, Jira, and more into a knowledge graph, powering conversational AI interfaces that deliver precise answers, advanced analytics, and workflow automations. Think ChatGPT, but for work, enabled across existing data sources and software. DevRev also provides AI-native apps for customer support, product management, and engineering … Forbes 2024 list of America's Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS. Job Description We are looking More ❯

modules, leveraging ML frameworks (PyTorch preferred), containerisation (Docker, Kubernetes/ECS/EKS), and AWS services (SageMaker, Lambda, S3, RDS) Design and build CI/CD pipelines that automate data ingestion, model training, validation, canary deployments, and continuous retraining triggers Benchmark, Validate & Iterate Establish rigorous evaluation protocols and back-testing suites for each subsystem (e.g. precision/recall for … e.g. FAISS, Annoy), BM25, neural rerankers, agentic stack. Production skillset: Docker, Kubernetes or AWS ECS/EKS, CI/CD (GitHub Actions, CodePipeline), AWS ML services (SageMaker, Batch). Data engineering acumen: ETL pipelines, relational and time-series databases (Postgres/TimescaleDB), search/index stores. Advanced Python Skills: Deep knowledge of asynchronous programming (asyncio, FastAPI, or similar More ❯

When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS Background in Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps within FSI companies Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience. Experience in managing complex sales processes with … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. More ❯

Junior Software Engineer | £35-45k | Hybrid (UK) A growing data and tech start-up in the transport sector is looking for a Junior Software Engineer with 1-2 years of commercial experience to join their small, fast-moving team. You'll be building data-driven solutions that solve real-world infrastructure challenges, working across the full stack … up of 9 employees in a start-up company. It is a hybrid role with 3 days per week on-site in Central London. Key Tech Stack: Python for data processing and backend logic SQL (PostgreSQL/SQL Server) for data querying and pipelines React (TypeScript) for intuitive, modern UIs Exposure to cloud platforms (AWS/Azure), Docker … or streaming tools (Kafka, Spark, etc.) is a plus Ideal Profile: 1-2 years' experience in a commercial software or data engineering role Strong coding skills in Python, SQL, and React Keen to work closely with clients and solve meaningful, complex problems A self-starter comfortable in a start-up environment Package & Perks: £35,000-£45,000 base More ❯

Architect to our team. Key responsibilities: Understand and document our client's systems and integration landscape and then propose, design & deliver integration solutions. Architect the appropriate business intelligence/data-warehousing approach for integrating from our platform to the client data landscape. Define non-functional requirements (security requirements, scheduling, disaster recovery etc.) and assist with the implementation. Work … Alfa application and diagnosing issues. Collaborate with our functional experts to provide guidance to our clients about product functionality including standard methodology and inquisitive workarounds. Work with clients and engineering to add to and manage enhancements on our product roadmap. Support client teams with overall architecture deployment using existing supported platforms or our cloud hosted services as appropriate. Distil … experience with APIs, web services, event streaming and messaging (Kafka, JMS, SQS etc). Experience with market-leading SaaS or iPaaS solutions. Database experience, including with reporting systems/data warehousing. Performance analysis, with tools like JProfiler/CodeGuru. Knowledge of Containers (Docker). Knowledge of and experience with data engineering concepts, tooling and patterns. What we More ❯

We are urgently looking for an AI Engineer to join our Device Intelligence team. The ideal candidate will have proven experience in Data science Background, leveraging both traditional AI and Generative AI techniques along with applications using React, JavaScript, and Python Job Description: Data science expert to preprocess, analyse, and model data, leveraging both traditional AI and … Generative AI techniques. Develop and deploy AI-driven applications using React, JavaScript, and Python, ensuring scalability and production readiness. Design and optimize end-to-end AI pipelines, from data engineering to model training and deployment. Stay updated on emerging AI technologies and integrate them with existing AI/ML frameworks for innovative solutions. Collaborate with cross-functional teams More ❯

and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs … scaling the scientific logic and software that connect Aqemia's predictive models into advanced drug discovery workflows. You'll build the engine that enables large-scale computation and seamless data transformation. You'll work at the interface of cheminformatics, software engineering, and platform infrastructure, translating scientific needs into robust, scalable tools used daily across Aqemia's pipeline. What … in a drug discovery context Strong Python skills and experience with RDKit or similar libraries Familiarity with compound library design, molecular descriptors, and property prediction Ability to work with data scientists, ML engineers, and software teams Strong sense of code quality, testing, and documentation Good communication skills and collaborative mindset Experience in scaling complex scientific logic and reducing computational More ❯

up to date with industry trends, emerging technologies, and best practices to ensure the team's solutions are innovative and competitive. Job Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or related field (or equivalent work experience). Proven experience as a Solution Architect, Technical Architect, or similar role with a strong track record of designing and … implementing enterprise-level solutions. Deep understanding of system architecture, data engineering, software development life cycle (SDLC), cloud computing (e.g., AWS, Azure, Google Cloud), and enterprise integration techniques. Expertise in designing solutions across various domains, such as enterprise applications, data management, security, and cloud infrastructure. Strong proficiency in programming languages, frameworks, and development methodologies. Ability to effectively communicate … looking for team members who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you are using Ookla data and insights to advance our mission of better connectivity for all. About Ziff Davis Ziff Davis (NASDAQ: ZD) is a vertically focused digital media and internet company whose portfolio More ❯