876 to 900 of 3,675 Machine Learning Jobs in England

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

spikes, and playback issues. Strong leadership and communication skills for cross-functional collaboration. Experience with broadcast/MAM integration (Avid, Dalet, Viz One, Adobe). Familiarity with AI/ML in media workflows (auto-tagging, transcription, object recognition). Hands-on experience with identity/access management and content security. Cloud certifications (AWS/Azure/GCP). More ❯

technic al delivery.Desirable Qua lifications Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Power BI Data Analys - t Associate).Experience in consulting environments or client- - facing roles.Knowledge of AI/ML integration within analyti - cs platforms.Understanding of data mesh and data fabric a rchitectures. More ❯

AWS, Azure, GCP) Experience integrating AI or automation into operational workflows (e.g., monitoring, alerting, or data pipelines) Some knowledge of Atlassian Jira & Confluence Interest in emerging technologies (AI/ML, blockchain, IoT, edge computing) Open-source contributions or personal tech projects you're proud of Other Highly Desirable Skills: Previous Application Support - Ideally Trading/Market Data - Futures & Options Trading More ❯

building, and scaling high-availability RESTful APIs for mobile or web clients. ? Demonstrated experience with real-time applications and data streaming technologies (e.g., Experience integrating third-party AI/ML APIs (e.g., Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working More ❯

migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day to More ❯

and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building More ❯

and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building More ❯

migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day to More ❯

migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day to More ❯

and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building More ❯

and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building More ❯

and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building More ❯

migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a day to More ❯

as Jenkins, ADO, GitHub actions, CirlceCI etc. Awareness of the latest developments in testing tools and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . Whats in It for You? We believe in rewarding great work. Heres More ❯

looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with … even further. The role is in person in London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong … software development experience in Python, with understanding of object-oriented and functional programming paradigms. Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS. Relentless drive and energy required to work in an early stage startup Team player and strong communication skills Beneficial Familiarity with MLOps practices for continuous deployment More ❯

looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with … even further. The role is in person in London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong … software development experience in Python, with understanding of object-oriented and functional programming paradigms. Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS. Relentless drive and energy required to work in an early stage startup Team player and strong communication skills Beneficial Familiarity with MLOps practices for continuous deployment More ❯

looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with … even further. The role is in person in London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong … software development experience in Python, with understanding of object-oriented and functional programming paradigms. Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS. Relentless drive and energy required to work in an early stage startup Team player and strong communication skills Beneficial Familiarity with MLOps practices for continuous deployment More ❯

progression as the data team expands. Hybrid working with 3 days a week in our central London office. Annual learning budget for technical training, conferences, and AI/ML development. More ❯

strong engineering foundation and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate. They are seeking a Senior Machine Learning/LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role for … up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. More ❯

strong engineering foundation and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate. They are seeking a Senior Machine Learning/LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role for … up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. More ❯

Machine Learning Engineer – Large Language Models (LLMs) We’re partnered with a leading tech organisation at the forefront of Generative AI innovation , hiring a Machine Learning Engineer to help build the infrastructure, workflows, and systems that bring cutting-edge LLM research to life. What You’ll Do: Design and build tools, methods, and infrastructure to advance … and LLaMA models , running experiments and optimising performance Be responsible for procuring and managing your own coding environment (e.g., Jupyter Notebook , Google Colab ) Key Requirements: 4+ years’ experience in Machine Learning/AI (LLMs, data mining, recommendation systems, or pattern recognition) Proven hands-on experience with LLM agents and generative … AI systems Strong Python skills, with experience in PyTorch or TensorFlow Familiarity with agentic design principles and LLaMA-based architectures Advanced debugging & problem-solving ability Experience running large-scale ML experiments and managing compute environments Master’s (or PhD) in Computer Science , AI , ML , or related field Bonus: Research track record (e.g., publications, Kaggle Master) Backend (APIs) + frontend (React More ❯

Machine Learning Engineer - Outside IR35, up to £550 per day Remote or London Hybrid. Immediate start … Looking for multiple Machine Learning Engineers for a long term project with one of OB's clients in the retail space. Proven experience in end-to-end ML deployments, including GenAI models, into scaled production systems. Skilled in building RESTful and GraphQL APIs for integrating GenAI systems with front-end and back-end platforms (UI, order systems, data More ❯

Machine Learning Engineer - Outside IR35, up to £550 per day Remote or London Hybrid. Immediate start … Looking for multiple Machine Learning Engineers for a long term project with one of OB's clients in the retail space. Proven experience in end-to-end ML deployments, including GenAI models, into scaled production systems. Skilled in building RESTful and GraphQL APIs for integrating GenAI systems with front-end and back-end platforms (UI, order systems, data More ❯

commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Develop state-of-the art machine learning models to solve real … Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required Qualifications, Capabilities, and Skills PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or More ❯