1,326 to 1,350 of 2,938 Data Science Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Intermediate experience with Agile/Scrum Framework and Issue Management Tools (e.g., Confluence, Jira, Azure DevOps). Intermediate knowledge in Web technologies, Mobile technologies, Embedded systems, Communication protocols, or Data science. Working knowledge of OSI model, TCP/IP networking, architecture, and core technologies (e.g. Network traffic collection and analysis, enterprise network architecture, routers, mail and web servers, Intrusion … development to include requirements development, risk assessments, and evaluation criteria refinement. Coordinate with customers, test engineers and range engineers to ensure the test infrastructure meet desired test objectives and data collection requirements. Actively participate throughout the acquisition process in order to influence development of a testable capability or product. Compile and analyze test results data to determine conformity … of the product or capability to the requirements. Document change requests/deficiencies of the product or capability as a result of test data analysis. What We Offer Competitive salaries Continuing education assistance Professional development allotment Multiple healthcare benefits packages 401K with employer matching Paid time off (PTO) along with a federally recognized holiday schedule Who We Are At 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 ❯

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 ❯

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 ❯

MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy. Develop best practices around model versioning More ❯

MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy. Develop best practices around model versioning 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 ❯

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all … the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data More ❯

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all … the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data More ❯

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all … the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data More ❯

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all … the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data More ❯

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all … the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data More ❯

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all … the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data More ❯