926 to 950 of 2,199 Machine Learning Jobs in the UK excluding London

and execute a comprehensive development program for all levels of sales leadership, from first-line managers to senior leaders. This includes curriculum design, workshop facilitation, and creating a continuous learning culture Strategic AI Integration: Act as the primary consultant for sales leadership on integrating AI into their management operating rhythm. Identify opportunities where AI can improve forecasting accuracy, strategic … leaders on strategic territory planning, build and inspect sales pipelines, and implement consistent, accurate forecasting cadences to drive predictable revenue AI & Technology Acumen: A strong understanding of how AI, machine learning, and data analytics can be applied to improve sales processes and leadership effectiveness Strategic & Analytical Mindset: Capacity to think strategically, identify complex challenges within a sales organization … and use data to design and measure effective solutions Adaptability and growth mindset: A passion for learning and the ability to thrive in a dynamic, fast-paced environment where technology and buyer behaviors are constantly evolving Leadership Development Expertise: Demonstrated success in designing and implementing impactful leadership development or sales enablement programs Influential Communicator: Exceptional communication, presentation, and interpersonal More ❯

Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering … foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer • Strong Python skills with experience in frameworks such … experience with AWS, frontend skills • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact • Collaborate with world-class engineers and ML researchers • Hybrid model, 1-2 days a week in our London office • Competitive salary + equity More ❯

Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering … foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer • Strong Python skills with experience in frameworks such … experience with AWS, frontend skills • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact • Collaborate with world-class engineers and ML researchers • Hybrid model, 1-2 days a week in our London office • Competitive salary + equity More ❯

Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering … foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer • Strong Python skills with experience in frameworks such … experience with AWS, frontend skills • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact • Collaborate with world-class engineers and ML researchers • Hybrid model, 1-2 days a week in our London office • Competitive salary + equity More ❯

stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and … client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a high-performing engineering culture by working from ours or client offices regularly to collaborate closely with fellow senior techies, fostering strong technical discussions and decision-making Provide hands-on mentorship and technical guidance that encourages knowledge More ❯

stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and … client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a high-performing engineering culture by working from ours or client offices regularly to collaborate closely with fellow senior techies, fostering strong technical discussions and decision-making Provide hands-on mentorship and technical guidance that encourages knowledge More ❯

stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and … client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a high-performing engineering culture by working from ours or client offices regularly to collaborate closely with fellow senior techies, fostering strong technical discussions and decision-making Provide hands-on mentorship and technical guidance that encourages knowledge More ❯

a comprehensive induction into our organisation, which will provide insights into how we operate, and the collaborative environment you'll be part of. This lays the foundation for a learning journey tailored to your goals and preferred style of development. From day one, you'll have access to mentors and subject matter experts to help you settle into the … learn. You'll be supported and encouraged every step of the way, becoming an integral part of our innovative team. We'll provide the space and resources for continuous learning, experimentation, and improvement - with up to 30% of your time dedicated to personal development. From books, online courses, and conferences to real world projects supported by your team, we … ll provide the resources you need to grow. You'll have access to learning and development opportunities tailored to your role, covering a wide range of software disciplines including front end design, site reliability engineering, data engineering, solution architecture, machine learning operations, UX, Agile, cloud engineering, and security. We'll even support formal qualifications with dedicated funding More ❯

Computer Science, Physics or Maths (2:1 or above) Expertise with C++ and Python is essential Experience with Linux and real-time software development Expertise with robotics, automation or machine control Basic electronics knowledge and ability to read schematics Familiarity with ROS, OpenCV, machine learning or PLC software is a plus Eligibility for UK defence security clearance More ❯

Computer Science, Physics or Maths (2:1 or above) Expertise with C++ and Python is essential Experience with Linux and real-time software development Expertise with robotics, automation or machine control Basic electronics knowledge and ability to read schematics Familiarity with ROS, OpenCV, machine learning or PLC software is a plus Eligibility for UK defence security clearance More ❯

Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or More ❯

Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or More ❯

Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Lead a team of ML Engineers Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or More ❯

Stay hands-on while advising business leaders on data-driven decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model … deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

Stay hands-on while advising business leaders on data-driven decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model … deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

Stay hands-on while advising business leaders on data-driven decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model … deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in using Azure Open AI and/or AWS Bedrock Hands-on experience deploying agentic or autonomous AI systems in production. Proficiency in Python Excellent communicator with consulting … or client-facing experience Knowledge of AI governance, interpretability, and bias mitigation principles Desirable Familiarity with IaC (Terraform, Bicep) Previous exposure to Machine Learning, Data Science or MLOps System Design More ❯

frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in using Azure Open AI and/or AWS Bedrock Hands-on experience deploying agentic or autonomous AI systems in production. Proficiency in Python Excellent communicator with consulting … or client-facing experience Knowledge of AI governance, interpretability, and bias mitigation principles Desirable Familiarity with IaC (Terraform, Bicep) Previous exposure to Machine Learning, Data Science or MLOps System Design More ❯

frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in using Azure Open AI and/or AWS Bedrock Hands-on experience deploying agentic or autonomous AI systems in production. Proficiency in Python Excellent communicator with consulting … or client-facing experience Knowledge of AI governance, interpretability, and bias mitigation principles Desirable Familiarity with IaC (Terraform, Bicep) Previous exposure to Machine Learning, Data Science or MLOps System Design More ❯

Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development … experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user More ❯

Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development … experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user More ❯

Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development … experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user More ❯

you’ll sit within the underwriting data science team, helping to develop and deploy high-impact climate and natural catastrophe models. Key Responsibilities Design and enhance statistical models and ML algorithms to better forecast weather and natural hazard risks (wildfires, hail, tsunamis, etc.) Build performant, scalable tools to price and monitor risk in real-world environments Translate client needs into … Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python and common ML libraries (e.g. scikit-learn) Curious, pragmatic, and driven to solve real-world problems with high social impact Passionate about the intersection of data science, insurance, and climate resilience If this More ❯

you’ll sit within the underwriting data science team, helping to develop and deploy high-impact climate and natural catastrophe models. Key Responsibilities Design and enhance statistical models and ML algorithms to better forecast weather and natural hazard risks (wildfires, hail, tsunamis, etc.) Build performant, scalable tools to price and monitor risk in real-world environments Translate client needs into … Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python and common ML libraries (e.g. scikit-learn) Curious, pragmatic, and driven to solve real-world problems with high social impact Passionate about the intersection of data science, insurance, and climate resilience If this More ❯

you’ll sit within the underwriting data science team, helping to develop and deploy high-impact climate and natural catastrophe models. Key Responsibilities Design and enhance statistical models and ML algorithms to better forecast weather and natural hazard risks (wildfires, hail, tsunamis, etc.) Build performant, scalable tools to price and monitor risk in real-world environments Translate client needs into … Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python and common ML libraries (e.g. scikit-learn) Curious, pragmatic, and driven to solve real-world problems with high social impact Passionate about the intersection of data science, insurance, and climate resilience If this More ❯