326 to 350 of 1,459 Permanent Machine Learning Jobs

science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce … requirements, design, implement, and test database systems. Coordinate with non-technical users to gather requirements. Provide and prepare data to enable data science and machine learning. Demonstrate strong understanding of relational databases, columnar data warehouses, data lakes, NoSQL, and other storage types. Develop intuitive, attractive, and interactive data visualizations ...

shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components … technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML/LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity ...

security through robust engineering practices. Monitor, troubleshoot, and optimise data workflows for efficiency and cost-effectiveness. Collaborate with data scientists and analysts to facilitate machine learning and analytical solutions. Contribute to best practices, coding standards, and documentation to improve data engineering processes. Mentor junior engineers and support knowledge … code. Strong problem-solving skills and the ability to work in fast-paced environments. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with machine learning data pipelines and MLOps practices. Knowledge of data streaming technologies such as Kafka or Kinesis. Familiarity with Terraform or similar infrastructure automation ...

. Deep knowledge of LLMs and natural language processing, including hands-on experience with transformer architectures (e.g., GPT, BERT, T5). Expertise in deep learning frameworks such as TensorFlow , PyTorch , or JAX . Strong knowledge of machine learning algorithms and their application to NLP tasks. Experience with … Azure for model deployment and scalability. Experience in building APIs, services, and infrastructure to support AI-driven applications. Experience : Experience in AI/ML engineering with a focus on LLMs and NLP. Proven track record of fine-tuning pre-trained models for various NLP tasks. Experience in MLOps and deploying ...

world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much … matrixed environments Ability to lead transformation initiatives, manage ambiguity, and drive alignment in fast paced, evolving environments. Demonstrated experience designing and implementing AI/ML-powered data capabilities, including generative AI applications, predictive audience modelling, and automated decisioning within marketing or data platforms. Practical experience with identity resolution strategies, including ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...

Software Engineer LOCATION Reading (Hybrid) TERM Permanent SALARY £55,000 to £90,000 per annum BENEFITS Bonus, Pension, Private Healthcare, Hybrid Working, Flexi-time, Learning & Development Budget, AI Training & Certifications etc. We are a forward-thinking technology organisation driving innovation through artificial intelligence and modern software engineering. As part … hybrid basis. The Software Engineer will ideally have the following attributes: Strong experience in software development with a focus on AI/ML applications A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Software Engineering or similar Strong programming skills in Python and/or Java Experience ...

Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured ...

Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured ...

Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within Software … Engineering, AI Engineering, or Machine Learning Engineering roles Strong hands-on Python engineering capability Experience building AI or machine learning solutions within production environments Strong understanding of Generative AI and modern AI engineering practices Exposure to Agentic AI frameworks or autonomous AI workflows Experience working with ...

deployment. Prepare and deliver regular product updates, performance reports, and strategic recommendations to executive leadership and relevant stakeholders. Remain informed of emerging AI and machine learning technologies, industry developments, and evolving customer needs to support long-term product innovation. Participate in vendor selection, partnership development, and third-party … learning, or data-driven products. Demonstrated expertise in managing complex product lifecycles in a technology-driven environment. Proficient understanding of AI/ML concepts, frameworks, and relevant industry applications. Strong analytical, organizational, and interpersonal skills, with a proven ability to lead cross-functional teams toward successful outcomes. Experience ...

Manager Software & MLAbout this roleWe are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You ll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models … integrate software features that are vital to the lives of credit card consumers.Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals.Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into ...

place to advance your career. What you will do: Analyse large and complex datasets to uncover insights and inform decision-making. Design and implement machine learning models to address business challenges. Develop dashboards, reports, and visualizations to present data-driven insights. Collaborate with cross-functional teams to identify … software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Required Skills: Proven experience (2+ years) in data science, machine learning, and statistical analysis Degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data analysis and machine ...

client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with researchers to align engineering work with research objectives and project goals Requirements … Computer Science or related subject Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience ...

Engineer Location: London or Cambridge, UK Type: Permanent Our client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with researchers to align … engineering work with research objectives and project goals Requirements: MSc in Computer Science or related subject Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs ...

infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ...

existing production machine learning models while providing technical leadership to a small team. You'll be responsible for: • Owning and maintaining production ML models • Providing technical oversight and quality assurance • Supporting and mentoring two junior Data Scientists • Defining model monitoring, alerting and retraining processes • Translating technical outputs into … forecasting performance and longevity outcomes We're looking for someone with: • Strong NLP and supervised machine learning experience • Experience managing production-grade ML systems • MLOps and model lifecycle management expertise • Previous experience leading or mentoring Data Scientists • Excellent stakeholder engagement and communication skills This would suit a Senior ...

demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java/Full Stack/DevOps plus Data Analytics/Data Engineering/Data Science/Machine Learning/AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers ...

evolve our data engineering ecosystem. This role goes beyond pipeline maintenance; it's about architecting scalable, resilient platforms that power analytics, experimentation, and machine learning across the business. You'll inherit a mature platform built over 3+ years, spanning Databricks, dbt, Airflow, AWS, Tableau, and AtScale, and drive … reviews, lead architecture discussions, championing engineering excellence, and contribute to overall technical strategy Mentor engineers and foster a culture of knowledge sharing and continuous learning What We're Looking For: Skills & Qualifications: BS/BA/BE degree in a quantitative area such as mathematics, statistics, economics, computer science ...

month contract basis. ASAP start. Outside IR35. Hybrid working - London based. Role * The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions across digital sports media platforms. * Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. * Build … emerging AI technologies, industry trends, and best practices within sports media and entertainment. Profile * The AI Engineer will have strong experience developing and deploying machine learning and generative AI solutions in production environments. * Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar. ...

Freelance Recruiter | AI/ML Software Engineering | UK-based Conquer AI is hiring a Freelance Recruiter to support our growth across London and New York. We’re looking for a UK-based freelance recruiter with strong experience hiring AI, ML, and software engineering talent . You’ll support our Head … identify strong engineering profiles quickly, and knows how to engage people who are not actively looking. What you’ll be doing: Sourcing AI, ML, and software engineering candidates across London and New York Supporting our Head of Recruitment with active hiring campaigns Building targeted LinkedIn searches and talent maps Identifying ...

Write complex, efficient queries against large, and disparate data sources. Monitors ETL/ELT performance and ensures compliance with security. Deploy sophisticated analytics programs, machine learning, and statistical methods. Prepare data for predictive and prescriptive modeling. Find hidden patterns using data to help improve business insights. … machine learning patterns for data discovery and on tasks that can be automated. Qualifications Minimum Job Requirements Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field with at least 4 years of combined experience in Clinical IT and/or Research (or) Master ...

senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. … management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat ...

experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production-grade GenAI and agentic systems … applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex ...

getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while … Learning Engineers. The focus areas include Java/Full Stack/DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews but don't clear them ...