776 to 800 of 864 Data Engineering Jobs in England

SENIOR DATAOPS ENGINEER £60,000 + BENEFITS LEEDS (Hybrid) Looking for a role where you can take a step back, look across the whole data platform, and make it faster, smarter, and more cost-efficient? THE COMPANY: I'm working with a central data function in financial services that's building a high-performing platform team at the … core of their data strategy. With technically advanced teams spread across the business, this group plays a crucial role in making data work better-for everyone. THE ROLE: This is a strategic and operational role for someone who loves automation, performance tuning, and platform thinking. As a Senior DataOps Engineer, you'll focus on improving the efficiency, observability … and cost-effectiveness of data pipelines running across a modern cloud stack. Take a "helicopter view" of the platform and monitor pipeline performance Identify bottlenecks, streamline processes, and optimise job run times Drive automation and reduce manual intervention across the platform Ensure pipelines are production-grade: scalable, monitored, and cost-efficient YOUR SKILLS AND EXPERIENCE: A successful Senior DataOps 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 … platform Ensure reproducibility, traceability, and performance of model pipelines across the full lifecycle Develop APIs and tools that expose predictors as scalable services to other teams Contribute to software engineering best practices across the ML stack (testing, CI/CD, observability) Partner with platform engineers and product stakeholders to ensure technical alignment and delivery What we're looking for … 6+ years of experience in software engineering with strong focus on machine learning systems Deep proficiency in Python and ML ecosystem (e.g. PyTorch, scikit-learn, MLFlow) Solid understanding of data and model lifecycle management, versioning, and deployment Experience building ML infrastructure and model-serving pipelines in production environments Familiarity with cloud-based architecture (AWS preferred), containerization (Docker), and More ❯

Job Role : Java Fullstack Engineer Job Type : Permanent Location : London, UK Work Mode : Hybrid Job Description You will be joining the innovative Information Security Cybertech Engineering team as a full stack software engineer in a global team responsible for developing web applications (Java/Angular), data engineering (Python) and solutions with third party products. You will be More ❯

what you'll be doing: Are you ready to shape the future of InsurTech with cutting-edge machine learning and AI? At Simply Business, we're not just using data; we're continuously evolving our platform with technologies like AWS, Snowflake, and Kafka to drive real value and inform company strategy. As a leading player in the market, our … mission is to remain at the forefront of data engineering, ML, and AI thinking, and we need a Senior ML Engineer who shares that ambition. We're looking for someone who is: A polyglot programmer, with expertise in Python and a genuine enthusiasm for picking up new languages like Kotlin and Rust. An excellent communicator, capable of clearly … reliable "go-to" person for tackling and resolving complex technical challenges. As our Senior ML Engineer, you'll: be hands-on in developing and continuously evolving our class-leading data and ML platform infrastructure, balancing maintenance with exciting greenfield projects. develop and maintain our real-time model serving infrastructure, utilising technologies such as Kafka, Python, Docker, Apache Flink, Airflow More ❯

industry-scale problem Experience with experiment design and conducting A/B tests Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch Collaborative and humble team player with an More ❯

industry-scale problem Experience with experiment design and conducting A/B tests Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch Collaborative and humble team player with an More ❯

About BMLL We are the leading independent provider of harmonised Level 3 historical data and analytics to the world's most sophisticated capital market participants. BMLL offers banks, brokers, asset managers, hedge funds and global exchange groups immediate and flexible access to the most granular Level 3, T+1 order book data and advanced analytics, enabling them to accelerate … more information, please visit our website, or visit our or About the role We are looking to hire an AWS DevOps Engineer (CI/CD) to join our Infrastructure Engineering team. This team focuses on DevSecOps principles, automation, and best practices, with the following objectives: Designing and maintaining automated and secure CI/CD pipelines using GitHub Actions and … Lifecycles) CloudFront distribution Experience with proactive management and team ownership of cloud infrastructure Beneficial Experience: AWS certifications Familiarity with SIEM solutions and Security Incident Management Cybersecurity awareness or certification Data engineering familiarity (EMR, ETL) Coaching or mentoring experience Key Behaviours: Excellent problem-solving skills Flexibility to experiment and adapt quickly based on results Strong team collaboration and communication More ❯

be passionate about cloud technologies, automation and CI/CD and will relish the challenge of building and maintaining robust architecture designed to support near real time analytics, advanced data science and critical operational projects reliant on data. This role requires that you work closely with technology and business stakeholders and translate business data needs to technical requirements … design and implementation. Location: Hybrid- 3 days a week from our London, UK office & 2 days working from home Reporting to: Staff Data Engineering These are some of the key ingredients to the role: Implement a secure and well tested Google Cloud Platform (GCP) using Infrastructure as Code Implement and maintain auto-scaling & auto-healing Kubernetes clusters in … bonus points for knowledge of AWS. In particular knowledge of infrastructure management ( VPC, Subnets, IAM, VPN, DNS, etc ) and other managed services like CloudFunctions, CloudRun, etc Experience with GCP data services , BigQuery, Datastream, Dataflow, Cloud Storage will be appreciated Scripting and programming experience in particular Bash, Python or other programming languages. Experience with Docker for generating containers and managing More ❯

seasoned Azure Batch Cloud Architect to lead the design and implementation of scalable, secure, and high-performance batch processing solutions in Microsoft Azure. This role is pivotal in supporting data-intensive workloads and compute-heavy operations critical to financial services, including risk modelling, regulatory reporting, and large-scale data transformation. Key Responsibilities: Architect and implement Azure Batch solutions … to support large-scale, parallel compute workloads. Design and optimise cloud-native batch processing pipelines for financial analytics, simulations, and reporting. Collaborate with data engineering, DevOps, and security teams to ensure end-to-end automation, compliance, and observability. Define and enforce governance, cost optimisation, and security best practices for batch workloads in Azure. Lead proof-of-concept initiatives … of Azure compute, storage, networking, and identity services. Experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates. Familiarity with financial services workloads, including regulatory compliance, data privacy, and auditability. Proficiency in scripting languages such as PowerShell or Python for automation and orchestration. Experience integrating Azure Batch with Azure Data Factory, Event Grid, or Logic More ❯

with VR/AR hardware , especially Meta Quest or similar devices. Knowledge of performance and memory profiling tools . Exposure to tools like Phabricator, Sandcastle , or similar. Background in data engineering, SQL , or telemetry 🌍 Work Environment: Join a highly collaborative, mission-driven team working on one of the most impactful XR platforms in the world. Office based … days per week in Central London. No weekend or shift work. Role does not involve direct financial data or user-sensitive data handling. ✨ Why Join: Work at the forefront of next-gen computing platforms . Make meaningful contributions to immersive, social-first XR experiences. Gain experience in a fast-moving, high-performance engineering team building real-world More ❯

with VR/AR hardware , especially Meta Quest or similar devices. Knowledge of performance and memory profiling tools . Exposure to tools like Phabricator, Sandcastle , or similar. Background in data engineering, SQL , or telemetry 🌍 Work Environment: Join a highly collaborative, mission-driven team working on one of the most impactful XR platforms in the world. Office based … days per week in Central London. No weekend or shift work. Role does not involve direct financial data or user-sensitive data handling. ✨ Why Join: Work at the forefront of next-gen computing platforms . Make meaningful contributions to immersive, social-first XR experiences. Gain experience in a fast-moving, high-performance engineering team building real-world More ❯

culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Hands-on experience in designing and implementing AI/Data architectures for large scale enterprise environments. - Background in Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps across industries. - Technical Degree (Computer Science, Maths … Engineering or equivalent) and/or relevant tech experience - Experience in managing complex sales processes with both technical and non-technical stakeholders - Demonstrated ability to think strategically about business, product and technical challenges PREFERRED QUALIFICATIONS - Working knowledge of software development practices and technologies highly desired - AWS Certifications Amazon is an equal opportunities employer. We believe passionately that employing a … 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 ❯

At Hastings Direct, storing your data securely is very important to us. Please see our Data Protection Statement and Job Application Terms & Conditions here for details on how your information will be stored. time left to apply End Date: August 17, 2025 (18 days left to apply) job requisition id We're a digital insurance provider with ambitious … plans to become The Best and Biggest in the UK market. Over the past few years, we've made significant investments in our data and tech capabilities, particularly within our CIO function. Our CIO team is at the forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We've nurtured our 4Cs culture, fostering collaboration … a crucial role in this journey, working on cutting-edge projects that enhance our digital presence and improve customer engagement. As an AI Engineer, you will support the Technology Engineering team within CIO by contributing to the development, deployment, and maintenance of AI and machine learning solutions. Your work will help ensure the smooth and efficient delivery of AI More ❯

LONDON Employer SOLIRIUS LTD Vacancy Description As a DevOps Engineer degree apprentice, you'll learn how to be accountable for the undertaking and completion of the analysis of software engineering business issues for either the entire requirement or subset thereof dependent on complexity and/or scope size You'll be instrumental in implementing Solirius' data solutions, or … to resolving our clients' business issues for either the entire requirement or a subset thereof dependent on complexity and/or scope size You'll assist in building our data solutions, or part thereof, dependent on complexity, scope size, and technology As you grow in your role on our team, you may also be required to supervise the work … all key stakeholders to ensure the software solution or part thereof, dependent on complexity and scope size, is understood and correctly used You'll facilitate ongoing support of our data solutions or part thereof, dependent on complexity and technology, e. g. by troubleshooting, reverse engineering and conducting root cause analysis As a DevOps Engineer degree apprentice, you'll More ❯

extend Enchant-our multimodal transformer-by incorporating genomics, transcriptomics, proteomics, metabolomics, and other omics signals. Your work will focus on target selection and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. An understanding of causal experimental design and the interactions among diverse molecular … modalities is essential. This position is remote, with a preference for candidates in Bristol. KEY RESPONSIBILITIES Identify, prioritize, and acquire multi-omics datasets. Build, maintain, and document data pipelines that ingest, quality control, and harmonize large multi omics datasets from public and proprietary sources. Design schemes for pretraining and finetuning Enchant on multi-omics data. Define benchmarks for target … monitor performance and iterate. Stay current with advances in machine learning and computational biology; prototype promising ideas and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant More ❯

DATABRICKS TEAM BUILD - Multiple Senior Roles | Leading Consultancy | London | £70k-£110k + Bonus Omnis Partners is recruiting for an exclusive Databricks team build with a next-generation data and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/… Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be part of a specialist Databricks team delivering enterprise-scale data platforms and ML solutions. This is a strategic team build working closely with Databricks professional services on marquee client engagements. 🛠️ Databricks-Focused Tech Stack: Databricks (Primary platform - all roles More ❯

DATABRICKS TEAM BUILD - Multiple Senior Roles | Leading Consultancy | London | £70k-£110k + Bonus Omnis Partners is recruiting for an exclusive Databricks team build with a next-generation data and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/… Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be part of a specialist Databricks team delivering enterprise-scale data platforms and ML solutions. This is a strategic team build working closely with Databricks professional services on marquee client engagements. 🛠️ Databricks-Focused Tech Stack: Databricks (Primary platform - all roles More ❯

startup transforming the way people eat. This unique role offers you the chance to work directly with founders, influence the product and technical roadmap, and build a world-class engineering team from the ground up. You’ll be hands-on with coding 70-80% of the time, developing innovative AI-driven solutions to revolutionize kitchen automation and food delivery. … Significant stock options and a competitive salary come with the role, along with a flexible hybrid working model. Role and Responsibilities Lead and grow a small but talented engineering team (2-3 engineers) Own and evolve key systems, including data ingestion from platforms like Deliveroo, Uber Eats, and JustEat Build and maintain self-serve dashboards and web apps … solutions for food quality control, anomaly detection, and kitchen management Automate manual workflows in kitchen operations, leveraging cutting-edge AI tools Collaborate closely with founders and the AI/Data Science engineer to shape product and technical strategy Stay hands-on with development, spending most of the time coding and problem-solving Foster a culture of innovation, rapid iteration More ❯

THE ROLE As a foundational member of our engineering team, you'll be involved in end-to-end development on features across our web product. We have a frequent cadence of shipping new features and a close connection to our market. You'll have to be willing to get your hands dirty with (and learn) everything across the stack … API design, frontend, backend, data engineering, algorithms, LLMs, startup engineering, analytics, etc. THE IDEAL CANDIDATE 3+ years of experience building web products, ideally across the stack Clean simple code, even when solving complex problems Strong sense of UX Good systems design Ability to learn new tech quickly Enjoyable to work with TECHNOLOGY STACK Python, PostgreSQL, FastAPI, Redis 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 ❯

in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow. Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles. Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members. Strong collaboration and communication skills More ❯

industry-scale problems. Experience with experiment design and conducting A/B tests. Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps. Solid understanding of machine learning concepts, familiarity with frameworks such as scikit-learn, TensorFlow, or PyTorch. Collaborative and humble team player capable of working with cross More ❯

across various lending portfolios Design and build credit scorecards: Acquisition, behavioural, and collections scorecards using industry best practices (e.g. WOE binning, logistic regression) End-to-end model ownership: From data extraction and feature engineering to validation and deployment Collaborate cross-functionally: Work closely with credit risk, data engineering, product, and compliance teams Support model governance and More ❯