3,226 to 3,250 of 7,725 Machine Learning Jobs in the UK

discipline frontend, backend, mobile, and quality. You will report to the VP of Engineering. You bring deep technical knowledge and a strong appetite for learning especially around agentic AI and how it is reshaping the way software is built. Your hands‐on coding focuses on the engineering organisation itself … both. Practical experience integrating, evaluating, or productionising machine learning systems not necessarily as a researcher, but as someone who has shipped ML-powered features. Active, current hands‐on experience with agentic development tools: Claude Code, Cursor, Codex, or equivalent used as a daily part of your own engineering ...

engagement trends, and BI dashboard metrics into executive-ready status updates.Orchestrate AI & BI Roadmaps: Direct complex, cross-functional programs spanning Data Engineering, AI/ML, Product, and Traveler CX teams to ensure business intelligence initiatives land on time.Deliver Operational Momentum: Maintain project management rigor across data pipelines, predictive search features … data strategy initiatives.BI & AI Competency: Strong command of business intelligence frameworks, visualization tools (e.g., Looker, Tableau), SQL, and practical understanding of AI/ML lifecycles (including Generative AI and predictive modeling).Cross-Functional Leadership: Proven ability to manage complex technical roadmaps involving data engineers, data scientists, product managers, and business ...

trends, and BI dashboard metrics into executive-ready status updates. Orchestrate AI & BI Roadmaps: Direct complex, cross-functional programs spanning Data Engineering, AI/ML, Product, and Traveler CX teams to ensure business intelligence initiatives land on time. Deliver Operational Momentum: Maintain project management rigor across data pipelines, predictive search … data strategy initiatives. BI & AI Competency: Strong command of business intelligence frameworks, visualization tools (e.g., Looker, Tableau), SQL, and practical understanding of AI/ML lifecycles (including Generative AI and predictive modeling). Cross-Functional Leadership: Proven ability to manage complex technical roadmaps involving data engineers, data scientists, product managers ...

more general-purpose programming languages (e.g. Python, Go, Java, C/C++) and API/backend systems design. Hands-on experience with ML infrastructure (e.g., production model training and deployment, model evaluation, tuning/optimization, data pipeline processing, and debugging production issues). Demonstrated ability to tailor your presentation … background. Excellent problem solving, analytical, and troubleshooting skills. Preferred Qualifications Experience with mobile application development and advertising across iOS/Android. Experience with machine learning frameworks and libraries such as TensorFlow or Keras. Experience in advertising technology working with large volume data analytics. Job Information About TikTok TikTok ...

find enablement opportunities to expand adoption and utilization of ACS AI solutions.* Assist customers in understanding the strategic impact of integrating AI/ML into their workflows.* Design and implement AI proof of concepts to showcase the capabilities and potential impact on solving customer challenges.* Develop and deliver training sessions … Solution Engineering and software experience.* Proven experience in a similar role, preferably in AI software sales or solutions engineering.* In-depth knowledge of AI, machine learning, and data science concepts.* Strong presentation and communication skills, with the ability to convey technical concepts to diverse audiences.* Strong proficiency with ...

simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. … looking for algorithm engineers to join our Algorithm Engineering team. You will work at the intersection of underwriting and algorithm development, developing machine learning enabled products that operate across over 25 classes of business ranging from Commercial Properties to Oil Rigs to Event Contingency insurance. You will help ...

data warehousing, data lakes, and lake house architectures.Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain ...

platforms, cloud infrastructure, open-source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying Artificial Intelligence, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms … trustworthy foundation for the next generation of AI-powered products. Why This Matters Agentic systems introduce new infrastructure challenges beyond traditional software and machine learning platforms. As AI systems become capable of autonomous action, tool use, multi-agent collaboration, and long-running workflows, organizations require new infrastructure ...

remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Senior MLOps Engineer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding real-world environments.The company specialises in computer vision, perception and autonomy, combining modern deep learning … improve the infrastructure that takes advanced AI and computer vision models from research through to reliable production deployment.You will bridge the gap between Machine Learning research and operational delivery, ensuring models can be trained efficiently, deployed reliably and monitored effectively.This is a hands-on engineering role covering distributed ...

implement models for detection, classification, prediction, and feature extraction Work with large-scale, often unlabelled datasets and apply self-supervised and semi-supervised learning techniques Adapt and fine-tune foundation models for domain-specific maritime AI challenges Review code, define best practices, and champion high engineering standards across … results to technical and non-technical stakeholders Требования: Degree in Computer Science, Mathematics, or a related field Hands-on experience in AI and Machine Learning Strong Python development experience with PyTorch, TensorFlow, or similar deep learning frameworks Experience working with non-standard imagery data, including writing custom ...

more general-purpose programming languages (e.g. Python, Go, Java, C/C++) and API/backend systems design Hands-on experience with ML infrastructure (e.g., production model training and deployment, model evaluation, tuning/optimization, data pipeline processing, and debugging production issues) Demonstrated ability to tailor your presentation … advertising technology working with large volume data analytics. Preferred Qualifications Experience with mobile application development and advertising across iOS/Android Experience with machine learning frameworks and libraries such as TensorFlow or Keras Job Information About TikTok TikTok is the leading destination for short-form mobile video. ...

platforms, cloud infrastructure, open‐source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which … trustworthy foundation for the next generation of AI‐powered products. Why This Matters Agentic systems introduce new infrastructure challenges beyond traditional software and machine learning platforms. As AI systems become capable of autonomous action, tool use, multi‐agent collaboration, and long‐running workflows, organizations require new infrastructure ...

specialists, software engineers, data scientists and technology professionals. You will support the design and development of AI solutions while gaining practical experience across AI, machine learning, cloud technologies and telecommunications. A structured training and induction programme will be provided to support your technical and professional development. Key Responsibilities … development of AI solutions Assist with integrating AI into telecommunications systems and platforms Work alongside software engineers, data scientists and network specialists Support machine learning and data focused projects Assist with AI driven network optimisation and automation Contribute to cloud based AI and data projects Support the testing ...

prioritization, and measurement across enterprise telemetry Experience with advanced cyber defense tools and enablers such as security telemetry pipelines, AI‐enabled SOC workflows, automation, machine learning, and behavioral or anomaly analytics Experience advising senior stakeholders, including CISOs and cyber defense leaders, on strategy, maturity, gaps, target‐state design … response, OT/ICS cyber defense, or large-scale hybrid enterprise security environments Experience across both production security data pipelines and AI/ML-enabled detection or prioritization, including where advanced analytics are useful and where rules, signatures, automation, or human judgment remain necessary Experience creating thought leadership, presenting ...

people who thrive at Oritain are motivated by building, improving and creating. They enjoy helping others succeed and are open to feedback and learning, regardless of experience level. They bring energy, curiosity and a clear point of view. They can make progress when information is incomplete and know … balance speed with quality. Key Responsibilities Provide technical leadership across statistical and machine learning projects. Mentor and support other data scientists, helping raise capability across the team. Lead a high-performing, engaged team that delivers meaningful outcomes and contributes positively to Oritain's culture. Partner with stakeholders ...

people who thrive at Oritain are motivated by building, improving and creating. They enjoy helping others succeed and are open to feedback and learning, regardless of experience level. They bring energy, curiosity and a clear point of view. They can make progress when information is incomplete and know … balance speed with quality. Key Responsibilities Provide technical leadership across statistical and machine learning projects. Mentor and support other data scientists, helping raise capability across the team. Lead a high-performing, engaged team that delivers meaningful outcomes and contributes positively to Oritain's culture. Partner with stakeholders ...

Performance & Development and People Analytics, such as follow-up questions inside summaries and smart metrics on the analytics dashboard. You do not need a machine learning background. Most of this work is building well-designed, reliable backend systems, and it is not fundamentally different from building any other … API. What is different is who you build it with and what sits on top: you will work day to day alongside machine learning engineers, and the systems you build are what every agentic experience at Personio will run on. If you are a strong backend engineer ...

role for someone who wants their models used, not admired. You will solve complex customer and commercial problems through advanced analytics, experimentation and machine learning, working with rich customer, booking, behavioural, marketing and digital data. The problem space is broad: segmentation, propensity, personalisation, customer value, retention, forecasting … answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns and commercial opportunity. Design rigorous experiments ...

role for someone who wants their models used, not admired. You will solve complex customer and commercial problems through advanced analytics, experimentation and machine learning, working with rich customer, booking, behavioural, marketing and digital data. The problem space is broad: segmentation, propensity, personalisation, customer value, retention, forecasting … answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns and commercial opportunity. Design rigorous experiments ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...