176 to 200 of 212 Data Engineering Jobs in London

and have extremely strong communication skills* In addition to this you will need to have... Strong Python experience. Worked in cross-functional teams combining data science, data engineering, BI, machine learning and product management. Implement and deploy machine learning models at scale. An understanding of NLP Experience more »

in digital avatars and human clones. Role: MLOps Engineer Location: London Salary: Up to £100,000 Responsibilities: Develop ML Pipelines: Build and maintain scalable data processing systems. Ensure data quality and integrity. Automate ML Processes: Integrate machine learning solutions into existing systems and automate workflows. Deploy and Scale … and implementation practices. Ensure Security: Adhere to security and compliance standards in ML deployments. Requirements: Education: Bachelor’s or Master’s in Computer Science, Data Science, or related field. Experience: 2-3 years in ML, data engineering, or MLOps. Abilities: Strong analytical, problem-solving, and communication skills. … Skills: Proficient in Python, ML frameworks like TensorFlow or PyTorch. Experienced with CI/CD, Docker, Kubernetes, and data pipeline tools like Airflow. more »

their online platforms and APIs. This position involves both ongoing feature development and active participation in a programme focused on innovating and enhancing their data domain. Responsibilities: Develop and maintain application code as a hands-on full-stack developer, supporting new product development, feature enhancement, and issue resolution. Collaborate … within an agile Scrum team to deploy both backend large data solutions and frontend UX capabilities. Provide technical solutions aligned with business requirements in collaboration with Product Management and Business Analysts. Work closely with senior development and DevOps team members to architect optimal solutions for data processing and … platform delivery. Integrate and adopt AI/ML tools in collaboration with Data Science and Data Engineering teams. Mentor junior team members and review code outputs to ensure quality and adherence to coding standards. Qualifications and Skills: Degree in Computer Science or equivalent combination of technical education more »

fairly new, with a lot of what needs to be done not even built yet. You’ll be coming in to work closely with data scientists and the wider business to build all ETL solutions behind round the clock trading decisions. This is a great chance to get into … of autonomy. You will decide on the best solution and work with the business to deliver it to their requirements. Initial projects will include data infrastructure migration, building research data services and lots of ad-hoc data science projects. With the business still being small and growing … quickly, there a lots of times when you’ll need to be nimble and reactive. The majority of data projects are completed using a mix of technologies. It’s essential that you have a solid background in data engineering, ideally with a computer science degree. Strong Python more »

their online platforms and APIs. This position involves both ongoing feature development and active participation in a programme focused on innovating and enhancing their data domain. You will require particular strength and experience with C# and React.js. Responsibilities: Develop and maintain application code as a hands-on full-stack … developer, supporting new product development, feature enhancement, and issue resolution. Collaborate within an agile Scrum team to deploy both backend large data solutions and frontend UX capabilities. Provide technical solutions aligned with business requirements in collaboration with Product Management and Business Analysts. Work closely with senior development and DevOps … team members to architect optimal solutions for data processing and platform delivery. Integrate and adopt AI/ML tools in collaboration with Data Science and Data Engineering teams. Mentor junior team members and review code outputs to ensure quality and adherence to coding standards. Qualifications and more »

as a tech company providing leading products for FinTech companies, are looking to expand their team to work on new strategic projects within the data and AI space. The Principal DevOps Engineer will join the Data team leading all DevOps initiatives. This particular role would see you working … on AI chat bots and all other kinds of interesting data/AI engineering products. Tech : AWS/Docker/Kubernetes/Terraform/Linux infrastructure/Python/Kafka You will work within their Data Engineering teams to design, build and manage secure integration and … mentoring junior staff and investigating new technologies. If you have extensive experience leading from a technical perspective across DevOps, Cloud and an interest in Data products, apply ASAP! We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion more »

The Role As the Head of Fraud, you will be: Being the SME on Fraud across the business Working cross-functionally with fraud, product, data engineering, and data science Setting out the Fraud strategy and roadmap Managing and inspiring a team of analytics professionals Developing and optimising more »

Digital with Purpose. Are you ready to join a dynamic team at the forefront of digital transformation? DWP Digital is seeking Data Engineers who are passionate about utilising cutting-edge technologies to deliver impactful data products. DWP is the UK's largest department, every year we pay over … combination of microservices that make up a single customer journey. Our production environment is currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work … where you can grow your career and make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An more »

and content performance. Key responsibilities include: Relationship Management: Develop and maintain strong relationships with International stakeholders to gain a deep understanding of their processes, data dependencies, workflows, and technological needs. Subject Matter Expertise: Serve as the expert on applications and systems, supporting product planning, distribution, and licensing functions. Reporting … essential. Requirements Gathering: Lead discovery and requirements sessions with business and technical teams, documenting functional requirements and use cases. Collaboration: Work with product and engineering teams to deliver application enhancements and support. Oversight & Quality Assurance: Provide oversight of technical teams, review technical designs, and ensure deliverables meet business requirements. … will have extensive experience in IT application development or support roles engaging directly with business users. You will also have a background either in Data Analyst or Data Engineering you will be confident with developing reporting and analytics. You will also demonstrate strong SQL skills with experience more »

an exciting opportunity for a Junior Software Engineer to join a rapidly expanding Sports Analytics company. As a Junior Software Engineer within the Modelling & Data Engineering team, you will be working in a fast paced, delivery focused environment, playing a critical role in helping a young and fast … processes and drive the implementation of new Models & Technologies. You will be able to demonstrate an interest in Programming skills in the areas of data structures, and high-performance computing, by using Design Patterns and SOLID Principles. Essential: Experience working on the .Net Framework as a Software Engineer, particularly … Experience working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Experience with concurrent development source control (GIT). Systems integration experience with networking, data migrations, API integration and design. Enthusiasm for clean systems, including documentation, logging, and reproducibility. Excellent presentation, documentation, time management, communication skills with the ability more »

We are seeking a Data Architect to take the lead in a newly formed department within a commodity trading house. Leading a multi disciplinary team, we are seeking individuals who can come in and make the decisions on future architecture designs, contribute to a wider data strategy and … face off to a range of senior stakeholders across the business. Experience in other data disciplines such as data engineering would also be beneficial We are seeking individuals with solid data architecture experience but this can also be an opportunity for someone who has led smaller more »

Fantastic new opportunity for a Data Engineer to join a high performing team at a leading hedge fund! You'll be vital in building and maintaining infrastructure for the efficient execution of their quantitative and discretionary trading strategies. What we'd love to see: MSc in Comp Sci, Engineering etc. from a Top University Demonstrable Data Engineering experience within a financial services company or hedge fund/commodity trading Strong Python and SQL Building and maintaining data pipelines AWS preferred but not essential What's in it for you? £80k - £100k starting salary dependent on … experience Opportunity to work with a world class team of Data professionals and portfolio managers 4 days on site more »

to £90,000 DOE Corecom have partnered with a global business who are leaders in the insurance industry. Looking to expand one of their data teams to become a more data-led business. The right person will take ownership of the PowerBI development across the analytics team and … push for data-driven decision-making. The role is suited for a creative and independent individual who can effectively collaborate with multi-disciplinary teams and is keen to explore the use of modern technologies. Main responsibilities Maintain and develop new & existing data models Build reports, dashboards and visualisations … Provide insight to various teams within the business Stakeholder management – Being a middleman between the data engineering teams and the business stakeholders Investigate and provide solutions for issues (bugs, data errors) Key skills PowerBI– DAX, Power Query (M) Power apps – Advantageous Azure, Databricks Stakeholder management What’s more »

Business Development Manager - Data Solutions Stride Recruitment is working with a leading data consultancy focused on delivering Data & Analytics Solutions for clients in markets such as; Financial Services, Retail, CPG, and Telco. They specialise in the delivery of Modern Data Solutions for firms in their chosen … target markets. Using innovative technologies, they deliver data pipelines, cloud data architectures, advanced analytical and AI/ML solutions. We are looking for ambitious and self-motivated sales professional with a passion for helping customers achieve more with Data, Analytics and AI. You'll have experience in … Skills: Demonstrated ability in negotiating high-value contracts with a track record of successful deal closures. Analytical Mindset: Strong analytical skills to understand complex data environments and articulate the value proposition of our solutions effectively. Technological Proficiency: Familiarity with the latest trends in data analytics, machine learning, and more »

Senior Software Engineer - Data Initial 6-month contract role Remote Working £525 - £625, Inside IR35 We're recruiting on behalf of an IT Services Provider for a Senior Software Engineer (Data) to design and develop modern data management tools. As a Senior Software Engineer, you will be … responsible for: Understanding business needs, facilitating, and developing process workflow, data requirements, and specifications required to support implementation. Design, build, implement, test, and monitor in class software components for data engineering. API integration and redesign for data set exchanges. Application development for Data Governance and Data Quality. Support users in resolving issues by troubleshooting. Additional qualifications that could help you succeed even further in this role include: Strong software engineering and application development background, demonstrate with Hands-on experience with Java, Python, Scala, or similar technologies. Hands-on experience with AWS and snowflake. Financial more »

Agora are excited to be working with a London-based B2B SaaS startup who are looking to expand the engineering team by bringing in a business-savvy data engineer to be the third member of the data team. The role: This role primarily covers building out the … to create a scalable SaaS product. Once this has achieved a certain level of product maturity, this role will also involve building their own data platform. We they offer: • Senior mentorship • Competitive compensation package, incl. stock options • Flexible hours and hybrid working, typically 3 days a week in the … be a net-zero CO2 company and donate 1% of their revenues to social impact causes. Requirements: • A proven level of commercial experience in data engineering • Experience at seed to series A/B stage companies or an excitement to experience first-hand the joys and pains the more »

Who we are: At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over … about managing AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure … stakeholders, explaining complex machine learning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or a related field, with a strong team player mindset and a sense of ownership High proficiency in AWS administration, IaC (Terraform more »

Salt is excited to collaborate with one of the worlds largest FMCG Giants as they source for a Data Scientist to join their team on a ASAP starting, 2 month contract (intention to further extend). In this role, you will leverage your strong analytical skills to drive data … scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machine learning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to ensure seamless data flow and infrastructure support. Generate actionable insights for business improvements Key Skills: Proficient in Excel is … techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualisation tools Hit apply or send across your CV for review and let's set up a call to chat further - cfanning more »

are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are … we are beefing up our talent in the space. We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Responsibilities: Work on the latest applications of data science to solve business problems in the CPG … teams, and developing plans to help operationalize the analytics solution Requirements 9-14 years of professional work experience with at least 7 years in data analytics Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution more »

Full Stack Developer/Data Engineer opportunity. Full time permanent position. Fully remote or hybrid - office just outside of London. My client is a dynamic and rapidly growing electrification company dedicated to the decarbonisation of heat transport and induction. They have years of experience from across the energy sector … in integrating and connecting renewable generation, EV charging and the digitalisation of energy. They are seeking a Full Stack Developer/Data Engineer with Data bricks expertise to help tackle exciting challenges in the energy sector. In this role, you will: Develop and scale energy solutions: Bring ideas … to life, building robust and scalable applications from proof-of-concept to deployment, working alongside the Energy Solutions team. Design data pipelines for smarter energy: Craft and manage data pipelines using Databricks, integrating best-in-class demand forecasts to optimize energy use. Enhance user applications for real-world more »

with a focus on state-of-the-art techniques and LLMs. Implement Retrieval-Augmented Generation (RAG) for enhanced information retrieval and processing. Collaborate with data scientists and other team members to integrate machine learning models into production systems. Stay up-to-date with the latest industry trends and advancements … overall improvement of development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor's or Master … s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Python development. Strong proficiency in FastAPI or similar frameworks. Extensive experience with CI/CD pipelines, deployment strategies, and tools. Hands-on experience with Docker and container orchestration. Proficiency in deploying and managing more »

role in the firm's technological evolution. The company are looking for a python developer who can design and develop their innovative AWS-native data analytics platform. Using Python, to build high-performance, high-throughput data pipelines for trading exchange, FX and fundamental data. This platform incorporates real … time extraction, transformation and analysis of data from hundreds of diverse sources, some generating up to 100,000 transactions per minute The ideal candidate should have the majority of the following: Experience Developing and maintaining data pipelines for a company's analytics platform. Knowledge of how to collaborate … and enhance pipelines as the platform evolves Have a Bachelor's or Master's degree in Computer Science or related field. 3+ years of data engineering experience with strong Python (including Pandas) skills. Strong proficiency in Object-Oriented Programming. Have strong problem-solving and communication skills. Experience working more »

easy-to-use tools that enable and empower them, thereby improving the quality of healthcare. We value making a meaningful impact.Each member of our engineering team has the opportunity to impact the lives of our users, and guideour technological and product direction. We are seeking a full stack engineer … you’ll find NodeJS microservices written in TypeScript. We use Kafka to enable our event-driven-architecture, and MongoDB, PostgreSQL, S3 and Elasticsearch for data storage and retrieval. Elephant’s platform is multi-cloud: we deploy our services to data centres around the world using ArgoCD and Kubernetes. … We’ve invested heavily in our data platform and are using Google BigQuery and Python to provide our customers with amazing health system insights. As we scale, the quality of our data becomes more and more valuable. We’ve invested heavily in a strong security and data more »

Build data platforms for products that VC and PE firms use every day - more data, more signals and more ways of identifying high-growth companies. With VC investment skyrocketing over the past few years, the competition to find the next Facebook or Amazon has increased exponentially. This company … these companies and their internal researchers to spot interesting talents early on. You’ll be coming in to make a significant impact on the engineering culture, which is very much tech-driven and collaborative. You’ll have the potential to become a future leader in the business, there’s … organically based off profits from the platform. A day in the life for you early on will involve you getting to grips with the data architecture and current platforms in place right now, but to define it further and improve what’s in place right now. You’ll report more »

Responsibility for co-developing and implementing cutting-edge in-house AI capabilities and infrastructure primarily in the domain of NLP. -Responsibility for software and data engineering projects and development/maintenance of computational platform infrastructure to support AI-driven drug discovery. -Enhancing platform engineering solutions to aid … experience of SOA NLP APIs & ML/Deep Learning frameworks. -Experience translating user requirements into workflow designs/specifications. -Skilled in constructing and refining data processing pipelines including workflow management technologies and databases (e.g. Nextflow/Nextflow Tower, SQL/NoSQL). -Experience with cloud native technologies such as … Docker & Kubernetes. -Knowledge of cloud environments (AWS preferred). Preferred requirements: -Experience with AI/ML applied to the Life Sciences. -Understanding of data management techniques for large-scale scientific data sets. -Experience with graph databases. more »