626 to 650 of 1,484 Machine Learning Jobs

interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solves-because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time … other words, SynergisticIT focuses on building candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Senior AI/ML Engineer (LLM's/RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office. … building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role ...

/CD processes ·Strong communication skills and a collaborative mindset Nice to Have ·SaaS or product development experience ·Exposure to AI or machine learning environments ·Experience with Databricks, Fabric or modern cloud data platforms The Opportunity ·Work on AI-powered products rather than internal reporting ·Join a collaborative … product engineering team ·Exposure to modern cloud and AI technologies ·Opportunity to influence products used by real customers ·Excellent environment for learning and development For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes ...

/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative … product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes ...

stakeholders What will be involved in the role: Designing, building and maintaining robust, scalable data pipelines and data models Developing and implementing AI/ML and Generative AI solutions aligned to business needs Integrating structured and unstructured data from multiple systems Implementing testing, monitoring and optimisation to ensure reliability … Data Developer or AI Engineer Strong programming skills in Python and SQL Hands-on experience building and maintaining data pipelines Exposure to AI/ML frameworks Experience with cloud platforms, data warehouses or big data technologies Strong analytical and problem-solving skills Comfort working in Agile delivery environments Eligibility ...

team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support … performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills ...

projects, provide expertise to project teams and ensure adherence to established architectural standards and principles. • Evaluate and champion the integration of AI/ML capabilities into existing and new solutions, identifying opportunities to leverage large language models, generative AI tools, and intelligent automation to enhance customer and business outcomes. • Champion … stack development experience in technologies such as React, Angular, jQuery, JavaScript, .NET Core, ASP.NET MVC, Entity Framework, RESTful API's. • Familiarity with AI/ML frameworks, tools, and platforms (e.g., Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services) and experience integrating AI-driven features into enterprise applications. ...

interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solves-because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time … other words, SynergisticIT focuses on building candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely ...

equivalent experience) in Computer Science, Software Engineering, Data Science or a related STEM field. Substantial experience designing, building and deploying enterprise AI/ML solutions, including technical leadership on complex projects. Track record of delivering secure, scalable software or data systems, with experience leading a small engineering team and/… partners. Strong leadership and communication skills, with the ability to guide technical teams and work effectively with stakeholders. Deep knowledge of modern AI/ML architectures, including practical experience developing or integrating machine learning models or AI agents. Strong software engineering capability, including Python, cloud platforms, and MLOps ...

department at internal, regional and other external NHS data and analytics forums. Share best practice across the department and with other NHS trusts, learning from others to improve local approaches. Keep abreast of national NHS data developments, policy changes, and best practice. Ensure that data quality issues are effectively … control, peer review, documentation, and change management. Knowledge of Microsoft Fabric including OneLake, Data Factory pipelines, Lakehouse/Warehouse architecture, and notebooks. Awareness of machine learning and advanced analytics capabilities within the Microsoft Azure/Fabric ecosystem. Knowledge of Azure data services and scalable data platform design principles. ...

heart of the hospital is our dedicated team. We offer a stimulating and dynamic working environment, a wide range of staff benefits, learning and development opportunities and clear career pathways. There are opportunities to work flexibly across a range of areas and specialities and we welcome flexible working requests … working within an Agile and Continuous Integration environment Desirable Knowledge and experience of working with sensitive information within the NHS Knowledge and understanding of Machine Learning data pipelines Skills Abilities/knowledge Essential A strong commitment to customer service delivery and excellent organisational skills Ability to evaluate ...

Architecture, and Operations to deliver customer and business outcomes. Participate in code reviews, design discussions, and technical refinement sessions, providing constructive input and learning from others. Own the quality of your work through automated testing, peer review, and proactive defect resolution. Support the operation of live services by contributing … appropriate guidance. Strong communication skills, with the ability to collaborate effectively with engineers, product managers, QE and other stakeholders. Hands on experience in: Python Machine Learning Data Pipelines Databricks Data engineering, including data enrichment and validation. Database management, including partitioning of data ETL processes Azure - pipelines, data factory ...

MongoDB), Data bricks, data lake, azure cloud Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design. DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc. LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using … using LangGraph. API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows. Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar. ...

title. Through our Leadership Capability Framework, we define how every team member contributes to our mission and culture: Know & Grow Your People - Commit to learning and supporting team success. Build Relationships - Communicate openly, collaborate well, and build trust. Take Ownership - Deliver on commitments and take pride in your work. … technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values ...

data modelling and data transformation Experience working in Agile or collaborative team environments Strong analytical and problem-solving skills Desirable Experience Exposure to AI, machine learning, or advanced analytics Experience with cloud platforms such as AWS, Azure, or GCP Knowledge of data warehousing or big data technologies Interest ...

data modelling and data transformation Experience working in Agile or collaborative team environments Strong analytical and problem-solving skills Desirable Experience Exposure to AI, machine learning, or advanced analytics Experience with cloud platforms such as AWS, Azure, or GCP Knowledge of data warehousing or big data technologies Interest ...

architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features ...

algorithms, complexity) Exposure to DevOps practices (e.g., GitHub workflows, CI/CD) Desirable: experience with Azure or healthcare-related data projects Bonus: interest in machine learning, data engineering, or visualization What You’ll Gain Mentorship : opportunity to discuss and review your work with senior software and data engineers ...

NumPy, Pandas) Proficiency in both relational (SQL) and non-relational (NoSQL) databases Familiarity with front-end technologies such as Angular and Node.js AI/ML Capabilities 2 years of hands-on experience with GenAI/LLM integrations and implementations DevOps and Tools: Solid experience with version control using Git Proficiency ...