626 to 650 of 707 Remote Data Science Jobs

Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the world designs … rare chance to apply your ML expertise to problems that have a tangible, physical impact — from inventing new alloys to optimising complex manufacturing processes. You’ll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from … in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering to push the boundaries of More ❯

AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing how the world designs … rare chance to apply your ML expertise to problems that have a tangible, physical impact - from inventing new alloys to optimising complex manufacturing processes. You'll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from … in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push the boundaries of More ❯

You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists, and product teams on exciting new features Contribute to technical discussions and see your ideas implemented fast Get exposure to cloud computing (AWS/Azure), CI/CD … pipelines, and AI tools What We’re Looking For A recent STEM graduate (Computer Science, Engineering, Physics, Maths, etc.) Strong coding ability in at least one of: Python, C++, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off … love to hear from you. Apply now with your CV. Let’s build something great together. Graduate Software Developer, Junior Developer, Entry-Level Developer, Python Developer, C++ Developer, Computer Science Graduate, Full Stack, Software Engineer, Cloud, Machine Learning, JavaScript, Coding Graduate, Graduate Technology Jobs More ❯

RegGenome is a regulatory data technology company and a leader in the field of computational regulation, changing how the world produces and consumes regulatory information. As a regulatory data provider, we process the worlds regulation using AI to transform what is human-readable into machine-readable and machine-consumable data. RegGenome is a commercial spin-out of the … we are looking for: To support our ambitious growth plans, were hiring a Mid-Level Infrastructure Engineer to join our remote-first, cross-functional tech team of software engineers, data scientists, and ML specialists. Our core platform processes millions of regulatory documents through hundreds of machine learning models, supporting a rapidly growing repository of global regulations. In this hands More ❯

RegGenome is a regulatory data technology company and a leader in the field of computational regulation, changing how the world produces and consumes regulatory information. As a regulatory data provider, we process the world’s regulation using AI to transform what is human-readable into machine-readable and machine-consumable data. RegGenome is a commercial spin-out of … are looking for: To support our ambitious growth plans, we’re hiring a Mid-Level Infrastructure Engineer to join our remote-first, cross-functional tech team of software engineers, data scientists, and ML specialists. Our core platform processes millions of regulatory documents through hundreds of machine learning models, supporting a rapidly growing repository of global regulations. In this hands More ❯

RegGenome is a regulatory data technology company and a leader in the field of computational regulation, changing how the world produces and consumes regulatory information. As a regulatory data provider, we process the world's regulation using AI to transform what is human-readable into machine-readable and machine-consumable data. RegGenome is a commercial spin-out of … are looking for: To support our ambitious growth plans, we're hiring a Mid-Level Infrastructure Engineer to join our remote-first, cross-functional tech team of software engineers, data scientists, and ML specialists. Our core platform processes millions of regulatory documents through hundreds of machine learning models, supporting a rapidly growing repository of global regulations. In this hands More ❯

+ stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and our models are at the heart of how we … systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data scientists, and the wider engineering team to ensure our models are accurate, explainable, and seamlessly integrated into our lending platform. What You’ll Do Lead the design, training, and … optimisation of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn. Responsible for creating proprietary data enrichment algorithms. Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun More ❯

+ stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and our models are at the heart of how we … systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data scientists, and the wider engineering team to ensure our models are accurate, explainable, and seamlessly integrated into our lending platform. What You’ll Do Lead the design, training, and … optimisation of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn. Responsible for creating proprietary data enrichment algorithms. Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun More ❯

our cutting-edge AI/ML workforce management tool. This is an opportunity to join our innovative team working to revolutionise labour planning, operational efficiency, and guest experience through data-driven decision-making and technology adoption. As Senior Project Manager you will ensure the project is delivered to scope, time, cost, quality, and risk parameters, and that change is … embedded sustainably across our world-class sports and entertainment venues. You'll play a key role in the deployment of this brand-new tool, working closely with business stakeholders, data-led technical teams (including data scientists and engineers), and third-party AI specialist consultants. This is a flexible hybrid/mobile role working remotely, from either our London … sports and entertainment venues. Collaborate with internal and external technical teams and third-party consultants to define project requirements and dependencies. Establish clear milestones and performance indicators, including data quality and user adoption. Ensure roles and responsibilities are defined for all workstreams. Evaluate cost structures and shape business cases for investment. Oversee project budgets, timelines, and resources. Apply project More ❯

looking to step into a broader architectural remit. You will play a key role in shaping cloud strategies, modernising legacy systems, and enabling advanced technologies such as generative AI, data analytics, and cloud-native applications. Key Responsibilities Design and implement scalable, secure, and high-performing AWS solutions. Lead cloud migration and modernisation initiatives, including mainframe transformation. Collaborate with cross … functional teams including data scientists, engineers, and developers. Provide technical leadership and guidance on AWS best practices and architecture patterns. Optimise cloud infrastructure for performance, cost, and security. Support the deployment of AI/ML models and data pipelines in production environments. Stay current with emerging AWS services and recommend improvements to cloud environments. Required Skills & Experience For … design and architecture. Ideal for cloud engineers or AWS consultants with deep service-level understanding. Desirable Experience Background in infrastructure or networking. Exposure to generative AI, AWS Contact Center, data and analytics, or mainframe modernisation. Multi-cloud or hybrid cloud experience (e.g. Azure, GCP). Understanding of interoperability across cloud platforms and on-prem environments. Additional Information Candidates must More ❯

to design, build, and deploy intelligent automation and optimisation engines for the entire group. · Integrate and Unite Systems: Play a key role in integrating disparate software systems, APIs, and data sources across the group, solving unique challenges that arise at the intersection of marketing and finance. · Collaborate and Communicate: Work effectively in an agile environment with diverse teams of … developers, data scientists, and financial experts, translating business needs into technical specifications. · Ensure Code Quality: Adhere to company coding standards, perform code reviews, and maintain clear technical documentation to ensure the long-term quality and maintainability of our systems. · Provide Technical Support: Troubleshoot and resolve issues in production systems, ensuring high levels of performance and reliability. Skills and Qualifications More ❯

Company Description 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 jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. … millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost and performance. You will work with software engineers to set up modern machine learning … then wed love to hear from you! You will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities: Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment Deploy and scale ML models, particularly large language models (LLMs) Build and maintain scalable pipelines and services to support More ❯

Month Initial Engagement | Remote) Location: UK or Poland Engagement: 6-Month Contract | Competitive Day Rate About Us Intelligence Connected partners with leading organisations to deliver high-impact AI, data, and digital transformation projects. We combine deep domain expertise with a network of senior associates and engineers to accelerate outcomes for global clients. The Role We’re looking for a … solutions that drive measurable business value. What You’ll Do Develop, fine-tune, and deploy ML models (LLMs, NLP, or computer vision depending on project scope) Work closely with data scientists, engineers, and client stakeholders to translate use cases into scalable technical solutions Build and optimise data pipelines and MLOps workflows Integrate AI components into broader data … Why Work With Us High-impact projects with global clients Autonomy and flexibility — remote-first with meaningful onsite collaboration Opportunity to work with a seasoned network of AI and data professionals If you’re an AI Engineer who wants to work on real-world applications — not endless prototypes — we’d like to hear from you. More ❯

help design, build, and scale intelligent systems that make a genuine difference across healthcare, mobility, and retail. You’ll work across the full machine learning lifecycle, from experimentation and data pipelines through to deployment and monitoring. This role is ideal for someone who wants to take cutting-edge ML research and turn it into production systems that reach millions … of users. Key Responsibilities: Design, build, and optimise ML models for large-scale behavioural and temporal datasets Develop and maintain scalable, cloud-based data and model pipelines Deploy, monitor, and improve production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices … experimentation frameworks, and model governance What They’re Looking For: Strong academic background in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred) Proven experience developing and deploying ML models in real-world applications Solid coding and data skills (Python, SQL, Databricks, cloud platforms) Deep understanding of the full ML lifecycle and productionisation of More ❯

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content … Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning … models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. More ❯

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content … Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning … models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the … Engineering Manager. Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech … Teams is essential. Working alongside the Data Scientist and Data Architect Experience at a Tech Lead/Senior Engineering Level Mentoring/Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS More ❯

award-winning ClimateTech startup helping cities, utilities, and developers plan for a net-zero future. Our cutting-edge software links digital twins across buildings, energy, and transport enabling smarter, data-driven investment decisions for the power grid. Used by over half of UK cities and major utilities, our technology supports spatial energy planning and connection requests across the country. … deliver advanced energy modelling and optimisation solutions that power our software platform. This role blends technical modelling , product development , and strategic consulting ideal for someone who enjoys problem-solving, data, and real-world impact. Key Responsibilities: Gather and interpret user requirements from utilities, local authorities, and developers Design, test, and refine optimisation algorithms for energy modelling and forecasting Collaborate … with software engineers and data scientists to integrate models into live products Conduct research on emerging industry trends and modelling techniques Produce clear, high-quality documentation for both technical and non-technical audiences Skills & Experience: Essential Degree in a numerate or quantitative discipline (e.g. Physics, Engineering, Computer Science, Maths) 13 years of relevant professional experience Strong analytical and More ❯

award-winning ClimateTech startup helping cities, utilities, and developers plan for a net-zero future. Our cutting-edge software links digital twins across buildings, energy, and transport enabling smarter, data-driven investment decisions for the power grid. Used by over half of UK cities and major utilities, our technology supports spatial energy planning and connection requests across the country. … deliver advanced energy modelling and optimisation solutions that power our software platform. This role blends technical modelling , product development , and strategic consulting ideal for someone who enjoys problem-solving, data, and real-world impact. Key Responsibilities: Gather and interpret user requirements from utilities, local authorities, and developers Design, test, and refine optimisation algorithms for energy modelling and forecasting Collaborate … with software engineers and data scientists to integrate models into live products Conduct research on emerging industry trends and modelling techniques Produce clear, high-quality documentation for both technical and non-technical audiences Skills & Experience: Essential Degree in a numerate or quantitative discipline (e.g. Physics, Engineering, Computer Science, Maths) 13 years of relevant professional experience Strong analytical and More ❯

award-winning ClimateTech startup helping cities, utilities, and developers plan for a net-zero future. Our cutting-edge software links digital twins across buildings, energy, and transport — enabling smarter, data-driven investment decisions for the power grid. Used by over half of UK cities and major utilities, our technology supports spatial energy planning and connection requests across the country. … deliver advanced energy modelling and optimisation solutions that power our software platform. This role blends technical modelling , product development , and strategic consulting — ideal for someone who enjoys problem-solving, data, and real-world impact. Key Responsibilities: Gather and interpret user requirements from utilities, local authorities, and developers Design, test, and refine optimisation algorithms for energy modelling and forecasting Collaborate … with software engineers and data scientists to integrate models into live products Conduct research on emerging industry trends and modelling techniques Produce clear, high-quality documentation for both technical and non-technical audiences Skills & Experience: Essential Degree in a numerate or quantitative discipline (e.g. Physics, Engineering, Computer Science, Maths) 1–3 years of relevant professional experience Strong analytical More ❯

award-winning ClimateTech startup helping cities, utilities, and developers plan for a net-zero future. Our cutting-edge software links digital twins across buildings, energy, and transport — enabling smarter, data-driven investment decisions for the power grid. Used by over half of UK cities and major utilities, our technology supports spatial energy planning and connection requests across the country. … deliver advanced energy modelling and optimisation solutions that power our software platform. This role blends technical modelling , product development , and strategic consulting — ideal for someone who enjoys problem-solving, data, and real-world impact. Key Responsibilities: Gather and interpret user requirements from utilities, local authorities, and developers Design, test, and refine optimisation algorithms for energy modelling and forecasting Collaborate … with software engineers and data scientists to integrate models into live products Conduct research on emerging industry trends and modelling techniques Produce clear, high-quality documentation for both technical and non-technical audiences Skills & Experience: Essential Degree in a numerate or quantitative discipline (e.g. Physics, Engineering, Computer Science, Maths) 1–3 years of relevant professional experience Strong analytical More ❯

award-winning ClimateTech startup helping cities, utilities, and developers plan for a net-zero future. Our cutting-edge software links digital twins across buildings, energy, and transport - enabling smarter, data-driven investment decisions for the power grid. Used by over half of UK cities and major utilities, our technology supports spatial energy planning and connection requests across the country. … deliver advanced energy modelling and optimisation solutions that power our software platform. This role blends technical modelling , product development , and strategic consulting - ideal for someone who enjoys problem-solving, data, and real-world impact. Key Responsibilities: Gather and interpret user requirements from utilities, local authorities, and developers Design, test, and refine optimisation algorithms for energy modelling and forecasting Collaborate … with software engineers and data scientists to integrate models into live products Conduct research on emerging industry trends and modelling techniques Produce clear, high-quality documentation for both technical and non-technical audiences Skills & Experience: Essential Degree in a numerate or quantitative discipline (e.g. Physics, Engineering, Computer Science, Maths) 1-3 years of relevant professional experience Strong analytical More ❯

play a pivotal role in shaping the company's AI strategy, from research breakthroughs to production-ready solutions. Key Responsibilities Lead and mentor interdisciplinary teams of researchers, engineers, and data scientists to pioneer cutting-edge AI research and development. Innovate on model architectures, training methodologies, and optimization techniques for multimodal LLMs (text, image, audio, and video) and specialized video … foundation models. Scale the R&D team by recruiting top talent, fostering a collaborative culture, and implementing processes for efficient growth and knowledge sharing. Oversee scalable training pipelines, including data curation, distributed computing strategies, and hyperparameter optimization to handle massive datasets. Deliver high-quality, general-purpose models tailored to specific applications and use cases, ensuring they meet performance benchmarks … Proven experience leading AI R&D teams (5+ years in a leadership role) with a track record of delivering production-grade models from concept to deployment. PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Deep expertise in training foundation models, including multimodal LLMs and video models, with hands-on experience in frameworks like PyTorch, TensorFlow More ❯

software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing the companies view on what it means to operationalise ML software. As a rapidly growing … are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery … and we don’t expect all applicants to have experience in everything (70% is a rough guide): Understanding of, and experience with the full machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with More ❯

Responsibilities: • Lead and manage end-to-end delivery of software development projects with a focus on AI and emerging technologies. • Collaborate closely with cross-functional development teams (software engineers, data scientists, and product stakeholders) to ensure project milestones are achieved on time and within scope. • Define project plans, manage budgets, resources, risks, and dependencies. • Communicate effectively with internal stakeholders … A genuine interest in artificial intelligence and its application within technology solutions. Nice to Have: • Previous experience in the aviation, travel, or transport sectors. • Exposure to cloud-based or data-driven projects (e.g., AWS, Azure, GCP). • PMP, PRINCE2, or Agile certifications. More ❯