451 to 475 of 1,141 Permanent Machine Learning Jobs

based Source Control. Experience of State management libraries. SQL experience. Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Solve real problems that matter Strong Engineering Culture: Work ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

Learning, or Generative AI products Strong understanding of user-centric product development Experience with tools and platforms such as: AWS (AI/ML services) Hugging Face LLMs and Generative AI workflows Ability to work in fast-paced, ambiguous environments Strong stakeholder management and communication skills Commercial awareness ...

/Cloud (Enterprise Scale) We are seeking a highly experienced AI Architect to lead the design, standardisation, and governance of enterprise-scale AI/ML and Generative AI platforms spanning data, application, and cloud infrastructure layers. This is a senior architecture position centred on building and overseeing production-grade … Transformer models), including RAG pipelines and vector database integrations Establish and lead LLMOps/MLOps strategy, including model lifecycle management, CI/CD for ML, model registries, and monitoring frameworks Design and deliver scalable, cloud-native AI platforms across Azure, AWS, or GCP Ensure Responsible AI standards, governance, security, compliance ...

opportunity to work on innovative large language model (LLM) applications in a collaborative, fast-paced environment. Key Responsibilities Design, develop, and deploy AI/ML solutions with a focus on LLM-based applications Build and maintain scalable data pipelines and AI services using Python and AWS Fine-tune, evaluate … governance standards required for government projects Contribute to best practices, code quality, and documentation Required Skills & Experience Minimum 3 years’ experience in AI/ML engineering, with hands-on experience in LLMs Strong programming skills in Python Proven experience working with AWS (e.g. S3, Lambda, SageMaker, ECS) Experience delivering solutions ...

tooling. · Become a subject matter expert for the data platform and supporting processes, actively sharing knowledge and contributing to our culture of continuous learning and development. · Regularly reviewing colleagues’ work and providing helpful feedback. · Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape … managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning and managing Apache Airflow. · Exposure to using AI tools to enhance ...

tooling. · Become a subject matter expert for the data platform and supporting processes, actively sharing knowledge and contributing to our culture of continuous learning and development. · Regularly reviewing colleagues’ work and providing helpful feedback. · Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape … managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning and managing Apache Airflow. · Exposure to using AI tools to enhance ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

work in the UK Desirable Experience Interest in sport and performance analytics Understanding of market pricing or forecasting models Knowledge of Bayesian methods, machine learning, or advanced statistical techniques Experience with optimisation methods or automated decision systems Familiarity with databases (SQL or NoSQL) Experience with additional programming languages … What’s on Offer Research-focused and collaborative environment Opportunity to take models from concept through deployment Ongoing professional development and learning support Competitive salary and benefits ...

strategy and delivering innovative solutions across large-scale environments. Key Responsibilities AI Solution Architecture Design and architect enterprise-grade GenAI, Agentic AI and ML solutions aligned to client business goals. Build scalable architectures using modern cloud platforms ( Azure, AWS or GCP ). Lead the design of RAG-based solutions … Weaviate, FAISS). Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies . Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow). Knowledge of MLOps/LLMOps practices and tooling (MLflow, Kubeflow, Docker, Kubernetes). Experience delivering AI solutions on AWS, Azure ...

optimisation , often delivered using modern platforms such as Palantir Foundry alongside Python and cloud technologies. What You'll Be Doing Building optimisation models and ML solutions to support decision-making Applying techniques such as mixed integer programming, simulation and advanced analytics Developing production-ready pipelines and models Working directly with … deliver value Delivering projects in an Agile (Discovery Alpha Beta Live) environment What They're Looking For Strong Python and data science/machine learning experience Exposure to optimisation or operations research (e.g. MIP, linear/non-linear programming, solvers like Gurobi, CPLEX, OR-Tools) Experience delivering ...

simulation environments to accelerate development and reduce deployment risk. Work with scientists to translate lab methods into automation-friendly procedures; work with Data/ML to stream rich telemetry and results downstream. Requirements Advanced degree (PhD) or MSc with equivalent industry experience. Proven experience automating laboratory workflows with liquid handlers … afterthought. Desirable Experience with fabrication and prototyping, including 3D printing custom parts to adapt or extend lab equipment. Familiarity with data engineering or ML pipelines, particularly for streaming structured experimental telemetry. Experience in pharmaceutical, biotech, or regulated lab environments. Benefits Competitive base salary alongside a meaningful equity package, giving ...

iterative improvement in analytical practices, service delivery, and stakeholder engagement. Proven ability to mentor and develop others, sharing expertise, and fostering a culture of learning and innovation. Detailed understanding of performance measurement frameworks and evaluation methodologies, with the ability to align them to NHS policy and strategic priorities. Ability … designing large scale, complex analytical and reporting projects that deliver strategic insights, including the application of data science approaches such as predictive modelling, machine learning and statistical analysis. Experience in developing and designing insightful, user-focused dashboards (e.g. Power BI/Tableau) that support strategic decision-making ...

transforming financial operations through intelligent automation and advanced analytics and we're doing it with a team that truly loves the challenge.From machine learning and data engineering to financial systems integration, we build scalable, secure AI solutions that help organisations streamline processes, sharpen decision-making, and unlock … tracking outcomes and gathering feedback. You'll work directly with pilot clients to understand their workflows, define success metrics, and ensure we're learning as much as possible from every engagement. Cross-Functional Collaboration You will act as a connective thread across the team, working with product managers, engineers ...

implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines ...

simulation software Cloud platforms such as AWS (including EKS) or Azure Containerisation tools such as Docker or Kubernetes Full stack development (Vue, TypeScript, Django) Machine learning or AI pipeline development Experience with engineering, scientific, or simulation-driven applications (e.g. CFD/FEA) What Next ...

intelligent log analysis, failure prediction, code investigation, or automated documentation generation to enhance problem-solving efficiency; basic understanding of common AI models (e.g., machine learning, natural language processing) in business applications Able to use English/Chinese as a working language for technical communication, documentation reading, and writing ...

Market making, systematic execution, or electronic trading in energy or commodity derivatives Asian options, barrier structures, or path-dependent exotics common in commodity markets Machine learning applied to vol forecasting, regime detection, or execution cost optimisation Open-source quant library contributions, published research, or CQF/MFE/ ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we’re looking for: Experience in general insurance pricing with ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

architecture and technical direction Mentor others and drive engineering excellence Continuously improve tools, processes, and team practices 🛠 Tech: Golang, React/TypeScript, Python, ML models, MySQL, Docker, Kubernetes, AWS/GCP/Azure, CI/CD ✅ What they’re looking for: 5+ years in software engineering Strong fundamentals in clean ...

with a small, high-impact team delivering real-world AI products. What We’re Looking For Strong Python experience and familiarity with AI/ML frameworks. Hands-on experience with LLM pipelines, embeddings, and RAG systems. Experience with cloud platforms (AWS, GCP) and containerization is a plus. Degree in Computer ...

migrations, including CDC approaches Strong Python and SQL skills Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines Exposure to AI/ML enablement frameworks (.e.g AWS SageMaker) and supporting infrastructure for model training, deployment Familiarity with modern development and deployment frameworks Experience with dbt/ELT patterns ...