726 to 750 of 3,667 Machine Learning Jobs in England

wider economic landscape. They are looking for a Data Scientist to join their London-based team, working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine … with a focus on time-series forecasting. Collaborating with data scientists and researchers to productionise models. Managing both cloud-based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn … TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency More ❯

wider economic landscape. They are looking for a Data Scientist to join their London-based team, working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine … with a focus on time-series forecasting. Collaborating with data scientists and researchers to productionise models. Managing both cloud-based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn … TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency More ❯

analytics to drive business success. Why Apply? High-Impact Role : Take ownership of data platform development, ensuring scalability, reliability, and efficiency. Technical Innovation : Work at the intersection of AI, machine learning, and real-time analytics , integrating cutting-edge technologies. Leadership & Strategy : Lead a team of data engineers and analysts , collaborating with senior stakeholders to drive a data-driven … governance frameworks , ensuring compliance with GDPR, ISO 27001 , and security best practices. Partner with Finance, Marketing, IT, and Operations to integrate data solutions into business strategy. Drive AI and machine learning initiatives , building predictive models to improve operational efficiency. Mentor and lead a high-performing team, fostering a culture of continuous improvement and innovation. Key Skills & Experience: Expertise … skills in Python, SQL, and/or Scala for data processing and automation. Experience with ETL/ELT, data warehousing, and event-driven architectures . Knowledge of AI/ML applications in data analytics and business intelligence. Proven leadership experience, with the ability to manage and mentor data engineering teams . Strong stakeholder engagement skills, translating complex data insights into More ❯

marketing technology, driving innovation in how planners interact with intelligent systems across optimization, allocation, and planning workflows. While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., econometrics, reach modelling). Success in this role depends on bridging the best of both worlds: machine learning models that … safety checks). Mentor and grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture. Requirements 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. Fluent in Python and a strong interest in general software engineering principles. You have worked with … common python frameworks (Numpy, Pandas...) Demonstrated expertise with agentic AI systems , including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). Strong foundation in classical machine learning and applied modeling techniques , including regression, classification, clustering, and practical experience with models used in econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred More ❯

marketing technology, driving innovation in how planners interact with intelligent systems across optimization, allocation, and planning workflows. While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., econometrics, reach modelling). Success in this role depends on bridging the best of both worlds: machine learning models that … safety checks). Mentor and grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture. Requirements 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. Fluent in Python and a strong interest in general software engineering principles. You have worked with … common python frameworks (Numpy, Pandas...) Demonstrated expertise with agentic AI systems , including orchestration frameworks (LangGraph preferred, LangChain or similar also considered). Strong foundation in classical machine learning and applied modeling techniques , including regression, classification, clustering, and practical experience with models used in econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred More ❯

supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a long-term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks … Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate: Up to £700/day Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and More ❯

supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a long-term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks … Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate: Up to £700/day Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and More ❯

# Our Privacy Statement & Cookie Policy is seeking scientists with a passion for solving problems using state-of-the-art machine learning, natural language processing and generative AI. About the Role: Applied Scientists are experts in NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage … Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 3+ years of hands-on industry experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks … work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have More ❯

to transforming health outcomes through innovative data-driven solutions. Our goal is to optimise operations, improve patient care, and deliver measurable value across the organisation by leveraging advanced analytics, machine learning, and AI techniques. We're committed to building a culture where data is at the heart of decision-making, enabling us to achieve better efficiency, cost savings … you'll be at the forefront of this mission, providing strategic leadership and shaping the future of our data capabilities. You'll set the vision for how AI and machine learning can unlock value across the organisation, develop a clear roadmap to turn that vision into reality, and lead a talented team of data scientists. Your role involves … Lead AXA Health's Data Science team across the full project lifecycle, from ideation to deployment and value realisation, whilst setting strategic vision and developing roadmaps for AI and ML initiatives that maximise customer value and support business objectives. Drive a data-driven decision-making culture within the organisation, promoting understanding of the benefits of data and AI, and championing More ❯

difference to projects that protect communities, coastlines and waterways. The Role As our Computer Science Graduate (AI & Digital Innovation), you'll: Support the design, development and deployment of AI, machine-learning, data analytics and digital optimisation tools that enhance project planning, asset monitoring and marine/civil operations Collaborate cross-functionally with engineering, site operations, diving, survey and … modern language) Familiarity (or strong interest) in machine learning, data analytics, modelling, algorithms, or statistical methods Demonstrable experience via projects, coursework or side projects in data science, ML, optimisation or algorithmic work Strong problem-solving mindset, ability to translate complex domain challenges into technical solutions Excellent communication skills - able to present technical ideas to non-technical colleagues A … from experienced engineers and domain specialists Hybrid working flexibility (office + remote) Exposure to high-profile infrastructure/marine projects nationwide Travel to interesting sites and field deployments Strong learning culture: budget for training, conferences, certifications Contribution to impactful projects that protect coastlines & communities Membership of Ancora Group's broader network & resources Standard benefits: pension, holiday allowance, health/ More ❯

data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query … and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query … and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query … and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query … and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query … and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

Development, Automation and AI Manager Role Overview We are seeking an exceptional Development, Automation and AI Manager to lead our development team whilst driving automation initiatives and AI/ML integration across our technology organisation. This is a strategic leadership role for someone who can bridge cutting-edge technology with tangible business outcomes. Key Responsibilities Lead and mentor a development … staff and 3rd-party), fostering a culture of innovation and continuous improvement Drive automation initiatives across the organisation, identifying opportunities for efficiency gains through intelligent automation Integrate AI/ML capabilities into existing systems and develop new AI-powered solutions Establish and maintain coding standards, architectural decision-making processes, and technical debt management Create and execute technical roadmaps aligned with … teams of 8-15+ engineers Experience with code reviews, architectural decision-making, and technical debt management Ability to establish coding standards and best practices across teams AI/ML Expertise Strong understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with LLM integration (OpenAI, Anthropic, open-source models) Knowledge of RAG architectures, prompt engineering, and vector More ❯

Development, Automation and AI Manager Role Overview We are seeking an exceptional Development, Automation and AI Manager to lead our development team whilst driving automation initiatives and AI/ML integration across our technology organisation. This is a strategic leadership role for someone who can bridge cutting-edge technology with tangible business outcomes. Key Responsibilities Lead and mentor a development … staff and 3rd-party), fostering a culture of innovation and continuous improvement Drive automation initiatives across the organisation, identifying opportunities for efficiency gains through intelligent automation Integrate AI/ML capabilities into existing systems and develop new AI-powered solutions Establish and maintain coding standards, architectural decision-making processes, and technical debt management Create and execute technical roadmaps aligned with … teams of 8-15+ engineers Experience with code reviews, architectural decision-making, and technical debt management Ability to establish coding standards and best practices across teams AI/ML Expertise Strong understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with LLM integration (OpenAI, Anthropic, open-source models) Knowledge of RAG architectures, prompt engineering, and vector More ❯

deployment. Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring More ❯

deployment. Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring More ❯

Collaborate closely with Risk and Market Data teams to deliver robust, compliant technology solutions Implement automated testing frameworks and integrate them into development workflows Explore and apply AI/ML-driven innovations to improve system performance and risk analysis Work effectively with global teams across multiple locations Key Requirements Strong hands-on experience in software engineering using C# and .NET … environments, ideally in Risk Technology Familiarity with scripting languages such as PowerShell or Python Understanding of service communication protocols (e.g., WCF, gRPC, messaging technologies like RabbitMQ) Exposure to AI, machine learning, or data-driven development is advantageous Excellent communication, analytical, and problem-solving skills Self-driven, reliable, and able to deliver high-quality work in a complex, fast More ❯

Lead Analytics Engineer, youll: Design and deliver impactful analytics solutions using Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What … Youll Bring Proven experience in analytics, BI, or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications More ❯

on data, customer collaboration, and real-world outcomes. Essential Requirements Proficiency in Python and/or TypeScript Experience with distributed systems (e.g. Spark, Kafka, Hadoop) Background in AI/ML , ideally with exposure to GenAI or LLMs SC Clearance Strong communication skills and ability to gather requirements from non-technical stakeholders Bachelor’s or Master’s degree in Computer Science … or related field What Will Make You Stand Out Experience building production ML or LLM-based solutions Experience delivering React-based frontend applications Track record of solving enterprise-level problems Experience in client-facing or consulting-style roles If you're excited by the idea of building software that directly impacts how organisations operate - and want to work with a … team that values ownership, speed, and mission - you’re encouraged to apply. SEO Keywords for Search: Forward Deployed Engineer, FDE, Software Engineer, Data Engineer, Machine Learning Engineer, AI Engineer, GenAI, LLM, Python Developer, TypeScript Developer, Full Stack Engineer, Distributed Systems Engineer, Spark, Kafka, Hadoop, React Developer, Enterprise Software Engineer, Consulting Engineer, Analytics Engineer, Technical Consultant, Palantir Foundry, AIP More ❯

on data, customer collaboration, and real-world outcomes. Essential Requirements Proficiency in Python and/or TypeScript Experience with distributed systems (e.g. Spark, Kafka, Hadoop) Background in AI/ML , ideally with exposure to GenAI or LLMs SC Clearance Strong communication skills and ability to gather requirements from non-technical stakeholders Bachelor’s or Master’s degree in Computer Science … or related field What Will Make You Stand Out Experience building production ML or LLM-based solutions Experience delivering React-based frontend applications Track record of solving enterprise-level problems Experience in client-facing or consulting-style roles If you're excited by the idea of building software that directly impacts how organisations operate - and want to work with a … team that values ownership, speed, and mission - you’re encouraged to apply. SEO Keywords for Search: Forward Deployed Engineer, FDE, Software Engineer, Data Engineer, Machine Learning Engineer, AI Engineer, GenAI, LLM, Python Developer, TypeScript Developer, Full Stack Engineer, Distributed Systems Engineer, Spark, Kafka, Hadoop, React Developer, Enterprise Software Engineer, Consulting Engineer, Analytics Engineer, Technical Consultant, Palantir Foundry, AIP More ❯

on data, customer collaboration, and real-world outcomes. Essential Requirements Proficiency in Python and/or TypeScript Experience with distributed systems (e.g. Spark, Kafka, Hadoop) Background in AI/ML , ideally with exposure to GenAI or LLMs SC Clearance Strong communication skills and ability to gather requirements from non-technical stakeholders Bachelor’s or Master’s degree in Computer Science … or related field What Will Make You Stand Out Experience building production ML or LLM-based solutions Experience delivering React-based frontend applications Track record of solving enterprise-level problems Experience in client-facing or consulting-style roles If you're excited by the idea of building software that directly impacts how organisations operate - and want to work with a … team that values ownership, speed, and mission - you’re encouraged to apply. SEO Keywords for Search: Forward Deployed Engineer, FDE, Software Engineer, Data Engineer, Machine Learning Engineer, AI Engineer, GenAI, LLM, Python Developer, TypeScript Developer, Full Stack Engineer, Distributed Systems Engineer, Spark, Kafka, Hadoop, React Developer, Enterprise Software Engineer, Consulting Engineer, Analytics Engineer, Technical Consultant, Palantir Foundry, AIP More ❯

have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how More ❯