1,226 to 1,250 of 2,829 Data Science Jobs

systems. It would also be nice if you have: Prior experience with LLMs (OpenAI's GPT-4o, o1, and Claude models from Anthropic) or agentic systems. Prior experience with data science/ML/NLP. Any Frontend experience. Proven expertise in building highly secure, fault-tolerant APIs. Experience building high-performance, distributed systems at scale. A strong understanding … commitment to information security, all employees are expected to adhere to company security policies and procedures, participate in mandatory security awareness training, and ensure the secure handling of sensitive data in line with ISO 27001 standards. Reporting potential risks or incidents is a key part of fostering our culture of security and compliance. Benefits: Competitive starting salary More ❯

and adapt in a fast-evolving business environment. Curious and proactive in exploring new technologies and solutions. Desirable Experience working in trading environment close to traders. Energy trading knowledge. Data science and optimisation skills University degree in a quantitative area (eg IT, engineering, mathematics, economics) Location Team based in London, Liverpool Street area. Flexible/hybrid working is More ❯

You will have a fast start if you have experience: Experience with cloud platforms such as AWS, Google Cloud, or Azure Knowledge of Kubernetes and containerization technologies Experience with data science and ML engineering Familiarity with retrieval-augmented generation (RAG) The requirements listed in the job descriptions are guidelines. You don't have to satisfy every requirement or More ❯

possible. • Get hands-on with a range of technologies and practice a range of disciplines: back-end, front-end, full-stack, DevOps, Prompt engineering, GenAI orchestration, machine learning, and data science. We are curious generalists who don't pigeon-hole ourselves as particular "flavors" of engineer and never say "that's not my job". • Collaborate with customers through … PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers More ❯

Project Manager to lead the delivery of a high-impact AI implementation project . This is a unique opportunity to work with cutting-edge technology in a highly regulated, data-rich environment. Key Responsibilities: Lead end-to-end project delivery of AI solutions within a financial services context. Coordinate cross-functional teams including data scientists, engineers, compliance, and … business stakeholders. Manage timelines, budgets, risks, and reporting to senior leadership. Ensure alignment with regulatory and data governance standards. Drive stakeholder engagement and change management. Ideal Candidate: Proven experience managing AI, data, or digital transformation projects. Strong background in financial services or fintech. Excellent communication and stakeholder management skills. Familiarity with Agile and Waterfall methodologies. UK-based and More ❯

Mission Management Tool Kit (MMTK) - Existing TS/SCI with CI Poly Required Create both the front end for user to interface and the back end for processing and data storage Create solutions for continuous integration/continuous deployment pipeline and for scalability to meet surge demands Conduct exploratory data analysis on new sources of ISR data, creating discovery opportunities for optimization of AI and ML applications Create, maintain, and track the design of data pipelines utilized to streamline OPIR data ingestion, scale data streams, and develop predictive analytic products Standardize process, scalability with local teams, and monitoring and maintenance of operational metrics. Facilitate data collection, cyber security compliance, and communication Collaborate … with cross-functional teams including data scientists, analysts, network engineers, and software engineers to understand data requirements and develop scalable data solutions Develop, maintain, and optimize ELT processes to ensure the timely and accurate movement of data from source systems to data warehouses and other storage solutions Oversee and maintain the day-to-day operation More ❯

Grey Matters Defense Solutions specializes in software development and solutions, data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence … Grey Matters Defense Solutions provides transformational leadership, building aware-winning teams and products. Grey Matters Defense Solutions' most valuable assets are the more than 55 + employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA, and the US Armed Forces. Our employees have a depth … of analytical knowledge which provides them with a deep understanding of managing and delivering products within government systems. Join our team of exceptional developers, architects, and data scientists! All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Salary Range: Grey Matters More ❯

you will take ownership of core backend development efforts, leading a small, agile team. You will be instrumental in architecting and building software systems that interface with real-time data sources and power intelligent automation platforms. This is a hands-on leadership position where you'll balance technical delivery with mentorship and team coordination. Key Responsibilities: Lead the design … robust, scalable backend systems using Python and microservices architecture Oversee code quality, testing, and DevOps practices to ensure continuous delivery Collaborate closely with multidisciplinary teams, including hardware engineers and data scientists Mentor and support junior developers and contribute to a high-performance engineering culture Implement software solutions for real-time data processing in an industrial environment Drive adoption … an Azure cloud environment Excellent problem-solving and leadership skills Desirable: Background in industrial automation, IoT, or embedded systems Familiarity with protocols used in industrial environments Experience with modern data pipelines or event-driven architectures What's on Offer: Competitive salary and benefits package Flexible working hours and hybrid options Career growth in a cutting-edge technology environment A More ❯

and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role is hybrid, based out of Dundee, Scotland. Flexible arrangements are on offer, but we can only More ❯

and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role is hybrid, based out of Dundee, Scotland. Flexible arrangements are on offer, but we can only More ❯

including memory, guardrails, orchestration, trace management, and tool marketplaces. System Integration - Integrate AI and GenAI applications into existing systems and workflows, ensuring smooth and efficient operation. Infrastructure - Collaborate with data engineering teams to build scalable data pipelines and infrastructure supporting AI apps and agents. Evals - Monitor and evaluate the performance of AI apps, agents, and the overall agentic … AI system. Stakeholder Collaboration - Work closely with cross-functional teams, including project managers, platform engineers, data engineers, solution engineers, data scientists, and business stakeholders to define, design, and implement new features. Stay Updated - Keep current with the latest trends and advancements in AI and machine learning, and apply relevant innovations to projects. Documentation and Knowledge Sharing - Document work More ❯

As a Software engineer, AI retrieval, you will be responsible for designing, implementing, and optimizing the AI retrieval systems that power our platform. You'll work closely with our data scientists, product managers, and other engineers to ensure that our AI models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding … that enable our platform to efficiently search and retrieve relevant content. Optimize performance : Ensure that our AI retrieval systems are highly performant, scalable, and can handle large volumes of data and requests. Collaborate with cross-functional teams : Work closely with data scientists, product managers, and other engineers to understand requirements, provide technical guidance, and deliver high-quality solutions. … with the latest developments in AI and software engineering, and continuously improve our systems and processes. ️ Is this you? Language fundamentals : Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. Functions : Experienced in calling functions, using default and variable arguments, and writing lambda functions. Virtual environments : Familiar with tools like venv, virtualenv More ❯

Tableau Developer We are looking for a Tableau Developer in our Data team. You will be joining our Analytics Excellence team. In this role, you will hold a range of responsibilities critical to the successful use of Tableau Cloud at Funding Circle. You will be the primary point of contact for complex Tableau issues. You will troubleshoot and help … to resolve Tableau Cloud performance, dashboards, data sources and Tableau Bridge connectivity queries and provide solutions for users. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to … grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access 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, enabling governments, armed forces, and commercial businesses to unlock digital advantages in demanding environments. Job Title: Machine Learning Engineer Requisition ID: 121659 Location: London - Flexible hybrid working arrangements available. … of the latest advancements in AI and ML technologies. You will be part of a multidisciplinary AI team focused on developing AI propositions that benefit our customers. Collaborating with data scientists, AI strategists, and delivery managers, you will engage in activities aligned with our AI Strategy, which includes: Customer Focus: Understanding needs and measuring AI value Market Positioning: Establishing … experiments and translating results into products In a small team, you will have ownership and responsibility, with support from our broader National Security community. You will work closely with data scientists to prepare data, conduct experiments, and develop scalable AI applications, demonstrating how prototypes mature into products. You will also support other teams developing ML solutions. This is More ❯

a working pattern that suits your lifestyle and helps you reach your ambitions. ML Ops Engineer Bristol Thales Group's global CortAIx initiative already employs over 600 AI and data specialists, being the first patent applicant in AI for critical systems in Europe with more than 200 patents filed to date. With more than 100 products integrating AI, the … an experienced ML Ops Engineer to work with our existing CortAIx team at our site in Bristol Primary Purpose of the Role: To drive the evolution and deployment of Data and AI capabilities within the businesses and to our customers in order to increase growth in orders and increased customer satisfaction. As part of a newly established software development … team, the Factory AI/ML Ops Engineer will work with both the development team and the end user in Thales UK businesses. Supporting the Thales UK Digital and Data strategy the Software support engineer will; support the delivery software offerings into an internal catalogue of reusable/re-deployable capabilities focused around data and AI capabilities, helping More ❯

Responsibilities: • Assist in developing and maintaining responsive user interfaces for our AI-powered applications. • Collaborate with experienced developers, UX designers, and data scientists to understand and implement user experience requirements. • Learn and apply front-end technologies to integrate AI functionalities into the UI. • Contribute to full stack development tasks under guidance, including basic API integrations. • Participate in optimizing application … of UI/UX design principles. • Exposure to database systems and basic SQL. • Interest in or basic knowledge of AI and machine learning concepts. • Experience with or interest in data visualization. • Familiarity with Agile development methodologies. YOE Requirement: 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. More ❯

Experience: 5-8 years About the Role We are seeking a highly skilled and experienced Platform Engineer to build and maintain the core infrastructure and tooling that empowers our data scientists, economists, and developers working on our cutting-edge Azure Databricks Economic Data Platform. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Platform … Support: Develop and maintain comprehensive documentation for the platform, including API documentation, user guides, and troubleshooting guides. Provide support to users of the platform. Collaboration & Communication: Collaborate closely with data scientists, economists, developers, and other stakeholders to understand their needs and gather feedback on the platform. Communicate technical concepts effectively to both technical and non-technical audiences. Essential Skills More ❯

Experience: 5-8 years About the Role We are seeking a highly skilled and experienced Platform Engineer to build and maintain the core infrastructure and tooling that empowers our data scientists, economists, and developers working on our cutting-edge Azure Databricks Economic Data Platform. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Platform … Support: Develop and maintain comprehensive documentation for the platform, including API documentation, user guides, and troubleshooting guides. Provide support to users of the platform. Collaboration & Communication: Collaborate closely with data scientists, economists, developers, and other stakeholders to understand their needs and gather feedback on the platform. Communicate technical concepts effectively to both technical and non-technical audiences. Essential Skills 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: Machine Learning Engineer Requisition ID: 121659 Location: London … as part of an empowered, multi-disciplinary AI team who's purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside a Data Scientist, AI Strategy Lead and Delivery Management you will focus on engineering activities within our AI Strategy which is focussed on: Our Customers: Elaborate user needs and measure AI … for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. You will work closely with data scientists to understand data requirements, clean and organize data, and build efficient, scalable capabilities. Our unique customers have interesting, complex data. You will conduct practical AI experiments More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are … cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood. This could mean anything from creating a brand new ML-powered feature … characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling Bank will collect your personal data for recruiting and related More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

newest products. We own Beamery's Job Architecture Portal and associated backend APIs. We sit in Beamery's AI vector and collaborate daily with knowledge engineers, ML engineers, and data scientists. We help customers optimise their workforce planning by giving them tools and insights to help them quickly and easily visualise, define and manage their job architecture. Our current … cope with new feature development, varied customer needs, and increased user traffic. This person will: Play a critical role in designing, developing, and operating our microservices, APIs and the data models backing them. Work with teammates to continuously improve our APIs which deliver role and skill insights for our customers. Execute on projects and follow through end to end More ❯

Full Stack Development: Design, develop, maintain, and troubleshoot Python-based applications and systems, covering the entire software development lifecycle. Collaboration & Communication: Effectively collaborate with cross-functional teams (business analysts, data scientists, etc.) to gather requirements, translate them into technical specifications, and participate in code reviews. Code Quality & Best Practices: Write clean, efficient, well-documented code, adhering to coding standards … ll need from you Python Development: Proven experience with Python and frameworks like Django/Flask/FastAPI. Database Expertise: Proficient with relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. Data Analysis Skills: Experience using libraries like Pandas and NumPy. Software Development Best Practices: Understands object-oriented programming, Agile/Scrum methodologies, and version control (e.g., GitHub). Problem-Solving More ❯

Head of Data Science required by a Media Publishing company to head up and grow a Data Science team. The team will be focused on Machine Learning & Statistical Analysis techniques to develop impactful solutions for the business. Initially you will lead a small team of Data Scientists, with strong growth forecast for the coming year. … Allied to team growth you will also be responsible for developing Data Science production process within the business, with a view to creating an Agile work environment which can have optimal impact Given their nature as a publishing business experience of applying NLP expertise is of crucial importance to this hire. Head of Data Science : - Excellent … understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, Random Forests, etc. - Experience with common data science toolkits, such as Python - Proficiency in using query languages such as SQL on a big data platform e.g. Hadoop, Hive - Good applied statistics skills, such as distributions, statistical testing, regression, etc. - Good scripting and programming skills More ❯