351 to 375 of 1,459 Permanent Machine Learning Jobs

experience in developing and deploying AI applications in real-world environments. Nice to Have Experience with other data engineering tools and technologies. Knowledge of Machine Learning/AI and data science concepts. Accountabilities To build and maintain the systems that collect, store, process, and analyse data, such … security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

Services organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field Fluent English (written/spoken) Strong hands … experience on Python, SQL, No SQL. Experience in Developing Machine Learning/Data Science models, from coding to deployment. Preferred Skills: Hands on experience in coding (mandatory python and SQL or C++). Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Familiarity working with large ...

closely with consultants, engineers and offshore delivery teams whilst helping identify further opportunities to add value for clients. ESSENTIAL SKILLS Commercial experience delivering AI, Machine Learning or Generative AI solutions Strong understanding of Large Language Models (LLMs) and modern AI architectures Python and/or PySpark experience Experience … client in conjunction with this vacancy only. KEY SKILLS Artificial Intelligence, Generative AI, LLMs, Azure, Databricks, Microsoft Fabric, Python, PySpark, AI Consulting, Machine Learning, Data Engineering, Stakeholder Management, Solution Architecture, Microsoft Technologies ...

help clients move beyond experimentation into real-world AI adoption. You’ll work on designing, building and deploying intelligent solutions that combine machine learning, GenAI and agent-based systems to improve decision-making, automate complex tasks and unlock new value from data. You’ll play a hands … science concepts to non-technical stakeholders Technical experience in several of the following: Programming & Data Science Proficiency in Python, R, or PySpark Experience with machine learning, statistical modelling, or optimisation techniques Working with large, complex datasets in cloud or distributed environments Cloud & Data Platforms Architectural knowledge or hands ...

your true potential - they reflect your preparation. Employers want hands on experience, real projects, and interview ready candidates. SynergisticIT fills the gap between classroom learning and real world hiring expectations. If you're getting interviews but not offers, you're closer than you think-and that's the most … works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java/Full Stack/DevOps and Data (Analytics/Engineering/Science) + ...

closely with marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear … engaging manner, making data relatable and actionable. Mentor Junior Team Members: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaboration. What We're Looking For: Our client is seeking a talented individual with a blend of technical expertise and a flair ...

hands-on experience in data science, applied AI, analytics, or similar work OR a strong academic background (e.g. Master’s in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Physics, etc.) combined with 1–2 years of industry experience Strong Python skills Experience working in Jupyter notebooks Familiarity … with LLMs, AI tooling, or applied machine learning workflows Strong analytical and problem-solving ability Comfort working independently on open-ended problems Ability to work pragmatically rather than over-engineering solutions Curiosity and enthusiasm for AI-native ways of working Bonus Points: Experience applying LLMs to real-world ...

Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. … statistical models Write and optimize queries using SQL. Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability. Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch. Preferred Skills: Hands on experience in coding (mandatory python and SQL or C++). Understanding of Generative ...

active customers globally. This is a senior individual contributor role. You will be driving early, material product decisions on a greenfield AI/ML-centric fraud risk platform, spanning reactive fraud detection and proactive fraud prevention. You will not be managing a team from day one. What you will … doing is shaping the architecture of something that has never been built quite like this before. What You Will Be Doing Greenfield AI/ML Product Direction: You will define the strategy, roadmap, and prioritisation for a zero-to-one fraud risk product, delivering capabilities across workflow orchestration, data integration ...

upskill, coordinate/standardise the production of reports, contribute to the statistical oversight and data efficacy boards, explore new opportunities for the application of machine learning and advanced statistical methodologies to health data and support the development of the DSA team. The focus of your work will … experience: Experience working with health data including clinical data registries Experience working with unclean data and free text An interest in the application of machine learning, NLP and AI to solve problems related to health data and patient safety Experience using Snowflake/DBT Prompt Engineering for Github ...

your true potential - they reflect your preparation. Employers want hands on experience, real projects, and interview ready candidates. SynergisticIT fills the gap between classroom learning and real world hiring expectations. If you're getting interviews but not offers, you're closer than you think-and that's the most … works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java/Full Stack/DevOps and Data (Analytics/Engineering/Science) + ...

your true potential - they reflect your preparation. Employers want hands on experience, real projects, and interview ready candidates. SynergisticIT fills the gap between classroom learning and real world hiring expectations. If you're getting interviews but not offers, you're closer than you think-and that's the most … works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java/Full Stack/DevOps and Data (Analytics/Engineering/Science) + ...

adoption and upskilling staff where needed Establish clear metrics to measure the ROI of AI initiatives. Stay at the leading edge of AI and machine learning developments relevant to our sector, acting as an internal champion and thought leader Stakeholder Management & Communication Act as the primary interface between … scale Desirable Experience in proptech, SaaS or estate agency software sectors Familiarity with machine learning concepts and the application of AI/ML in software products Experience working with legal or compliance-adjacent products Ambition to grow into a Technical Director or CTO role Equal Opportunities Dezrez Services ...

exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required … effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. · Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). · Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...

Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution … solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to £110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working ...

SynergisticIT We Focus on Java/Full stack/Devops and Data Science/Data Engineers/Data analysts/BI Analysts/Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs … looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/Data Scientists, Machine Learning engineers for full time positions with clients. Top tech companies are flooded with smart grads. What gets you in the door now is real ...

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

data scientists who operate with a consulting mindset. You will lead the delivery of end-to-end projects across the Machine Learning (ML) lifecycle, moving beyond standard analytics to implement Agentic AI solutions that automate complex reasoning and decision-making tasks. The mandate requires a deep understanding … advisory function is essential. You must be comfortable delivering work at pace in a matrixed environme nt.Scientific Foundati on: A strong background in the ML lifecycle, including expertise in NLP, time-series analysis, and predictive modelli ng.Technical Sta ck: Proficiency in Python, R, or PySpark is mandato ry.Cloud & Data Platfor ...

recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems, Distributed Systems, AI Model Serving, Machine learning infrastructure. You will work closely with architects to prototype and optimize the next generation of global AI clusters. What you will be doing … PyTorch) Hands-on experience with distributed KV cache optimization Familiarity with GPU and how they execute LLMs Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Solid grounding in systems research methodology, distributed algorithms, and profiling tools. Proficiency in C/ ...

ideal for recent PhD graduates looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Responsibilities … systems research methodology, distributed algorithms, and profiling tools. Team-oriented mindset with effective technical communication skills. Desirable Experience: Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...

principles and secure-by-design methodologies. Experience building automation and security workflows using Python, PowerShell, or similar tooling. Familiarity with AI-assisted security tools, machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support … improving security controls in complex environments. Bachelor's degree in Cyber Security, Computer Science, Information Technology, or equivalent practical experience. Familiarity with AI/ML concepts applied to security use cases is highly desirable. Experience working with or building automation, analytics, or data-driven security solutions is strongly preferred. Relevant ...

principles and secure-by-design methodologies. Experience building automation and security workflows using Python, PowerShell, or similar tooling. Familiarity with AI-assisted security tools, machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support … improving security controls in complex environments. Bachelor's degree in Cyber Security, Computer Science, Information Technology, or equivalent practical experience. Familiarity with AI/ML concepts applied to security use cases is highly desirable. Experience working with or building automation, analytics, or data-driven security solutions is strongly preferred. Relevant ...

delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions … leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment ...

time, with intent to automate and reduce manual effort). Leading data science and scientific modelling work - applying statistical methods, forecasting techniques and machine learning to water resources problems. Setting team standards for analytical quality and resolving complex modelling problems others cannot (WRMP demand forecasting, supply-demand balance … visualization approaches, building team capability. What we're looking for: Essential Demonstrated leadership in data science, setting standards for statistical methods, forecasting and machine learning, and solving complex analytical challenges. Proven ownership of regulatory BI delivery (e.g. Ofwat APR, ODI or similar), including forecasting, consumption methodology, and water ...

product and data stakeholders to translate requirements into robust technical solutions Support the ongoing development of data architecture to enable advanced analytics and future machine learning use cases Act as a senior technical voice within the team, contributing to design decisions and platform direction About … ability to work independently in a fast-paced environment Desirable: Experience building or maintaining web scraping/external data ingestion pipelines Exposure to machine learning workflows or data science environments Previous experience working in a startup or scale-up setting ...