226 to 250 of 1,360 Machine Learning Jobs in England

future of Generative AI in life sciences? As a Senior AI Scientist at IQVIA, you will play a pivotal role in architecting, developing, and deploying cutting-edge AI/ML solutions that transform how pharmaceutical companies operate and innovate. You will work at the forefront of machine learning, leading initiatives that leverage large language models (LLMs), agentic AI … functionally with engineering, product, and domain experts to ensure AI solutions align with customer needs and compliance frameworks. Contribute to publication strategies and represent IQVIA at leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR). Qualifications: PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with a strong publication record in top-tier AI … Extensive experience with fine-tuning/distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track More ❯

future of Generative AI in life sciences? As a Senior AI Scientist at IQVIA, you will play a pivotal role in architecting, developing, and deploying cutting-edge AI/ML solutions that transform how pharmaceutical companies operate and innovate. You will work at the forefront of machine learning, leading initiatives that leverage large language models (LLMs), agentic AI … functionally with engineering, product, and domain experts to ensure AI solutions align with customer needs and compliance frameworks. Contribute to publication strategies and represent IQVIA at leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR). Qualifications PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with a strong publication record in top-tier AI … Extensive experience with fine-tuning/distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track More ❯

Senior Machine Learning Scientist (Recommender Systems) - Viator London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that … innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques. Awareness of current ML techniques, keen … the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid or a remote position in More ❯

Senior Machine Learning Scientist (Generative AI) - Viator London, UK About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last … instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering … data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a More ❯

improve customer engagement. As a Principal AI Engineer, you will be part of the Technology Engineering team within CIO, leading the design, development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organisation. You will collaborate closely with cross-functional teams, including Data Science, Engineering, Product, and Business stakeholders … exploration to model development, deployment, and monitoring - ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML … code tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control (e.g.Git), CI/CD pipelines, and automated testing for ML code. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues More ❯

is highly desirable. Continuous Integration/Continuous Deployment (CI/CD): Experience with integration and deployment tools, understanding the principles of CI/CD pipelines for streamlined software delivery. Machine Learning/AI: Basic understanding of AI and machine learning concepts. Database: Understanding NoSQL databases. Numerate Degree Qualification You should possess a computer science degree or … for charity work Most importantly we offer the opportunity to work with a highly motivated team and be part of building a business, launching new products, engaging new customers, learning new skills and achieving success. More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and infrastructure that power analytics, machine learning, and business intelligence across the organization. You will work closely with data scientists, analysts, and platform engineers to ensure robust and efficient data delivery. This is an … degree in computer science, Engineering, Data Science, or related field. Experience with streaming data technologies (e.g., Kafka, Kinesis). Familiarity with data cataloging and metadata management tools. Exposure to machine learning pipelines or MLOps is a bonus. At bp, we provide the following environment and benefits to you: A company culture where we respect our diverse and unified … we are proud of our achievements and where fun and the attitude of giving back to our environment are highly valued Possibility to join our social communities and networks Learning opportunities and other development opportunities to craft your career path Life and health insurance, medical care package And many other benefits. We are an equal opportunity employer and value More ❯

Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and infrastructure that power analytics, machine learning, and business intelligence across the organization. You will work closely with data scientists, analysts, and platform engineers to ensure robust and efficient data delivery. This is an … degree in computer science, Engineering, Data Science, or related field. Experience with streaming data technologies (e.g., Kafka, Kinesis). Familiarity with data cataloging and metadata management tools. Exposure to machine learning pipelines or MLOps is a bonus. At bp, we provide the following environment and benefits to you: A company culture where we respect our diverse and unified … we are proud of our achievements and where fun and the attitude of giving back to our environment are highly valued Possibility to join our social communities and networks Learning opportunities and other development opportunities to craft your career path Life and health insurance, medical care package And many other benefits. We are an equal opportunity employer and value More ❯

growth and development of our AI & Data practice, sharing your knowledge and insights to drive continuous improvement. You will be instrumental in driving the adoption of advanced AI/ML services, helping organisations achieve their innovation and transformation goals through sophisticated AI architectures. If you're a passionate technologist with a deep understanding of AI and a desire to shape … we take, guiding us to deliver impact how and where it mattersmost . Connect to your opportunity Key Responsibilities: Solution Architecture: Define and design end-to-end AI/ML/LLM solution architectures, encompassing data ingestion, processing, model training, deployment, and monitoring. Technical Leadership: Provide technical guidance and mentorship to AI project teams, ensuring the adoption of best practices … innovation and drive the development of cutting-edge AI solutions. Connect to your skills and professional experience Technical Proficiency: Extensive experience designing and architecting complex, production-ready AI/ML solutions in financial services; specific project examples required. Proficiency in designing and implementing scalable, secure AI solutions, including data pipelines, model deployment, API integration, and MLOps best practices such as More ❯

a reality. The ideal person for this role will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. They should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … your career and development from day one. Key Responsibilities Front end implementation for a React application. Visualizing and interacting with scientific data and workflow progression. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics More ❯

a reality. The ideal person for this role will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. They should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … your career and development from day one. Key Responsibilities Front end implementation for a React application. Visualizing and interacting with scientific data and workflow progression. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics More ❯

a reality. The ideal person for this role will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. They should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … your career and development from day one. Key Responsibilities Front end implementation for a React application. Visualizing and interacting with scientific data and workflow progression. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics More ❯

up SaaS company who are seeking a Senior Data Scientist in Manchester or London. The Role We're seeking a skilled professional with a background in data science and machine learning to contribute to the development of systems that support critical business goals … including fraud detection. You'll work with large datasets, help build scalable solutions, and collaborate with various teams to ensure models remain effective and reliable. Responsibilities Develop and deploy ML models to detect bot and fraudulent traffic Lead research and prototyping of new detection methods Monitor model performance and address drift or false positives Collaborate across teams to turn insights … into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus Desired Skills and Experience Data More ❯

up SaaS company who are seeking a Senior Data Scientist in Manchester or London. The Role We're seeking a skilled professional with a background in data science and machine learning to contribute to the development of systems that support critical business goals … including fraud detection. You'll work with large datasets, help build scalable solutions, and collaborate with various teams to ensure models remain effective and reliable. Responsibilities Develop and deploy ML models to detect bot and fraudulent traffic Lead research and prototyping of new detection methods Monitor model performance and address drift or false positives Collaborate across teams to turn insights … into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus Desired Skills and Experience Data More ❯

up SaaS company who are seeking a Senior Data Scientist in Manchester or London. The Role We're seeking a skilled professional with a background in data science and machine learning to contribute to the development of systems that support critical business goals … including fraud detection. You'll work with large datasets, help build scalable solutions, and collaborate with various teams to ensure models remain effective and reliable. Responsibilities Develop and deploy ML models to detect bot and fraudulent traffic Lead research and prototyping of new detection methods Monitor model performance and address drift or false positives Collaborate across teams to turn insights … into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus Desired Skills and Experience Data More ❯

the main focus on developing and implementing Agentic AI evaluation techniques, using strategies such as LLM-as-judge. As an MLE, you will work within a multidisciplinary team of machine learning engineers and software engineers building the Agentic AI platform, and liaise closely with downstream teams using the platform to build agentic applications. These applications range from consumer … practices for GenAI evaluations across the business and working closely with downstream teams and product partners to align evaluation strategies with business needs. Requirements 5+ years' experience as an ML Engineer or Data Scientist 5+ years' experience writing production code in Python Experience using tools like Git, Docker, Kubernetes, CircleCI Experience productionising Generative AI workstreams or Agentic AI projects You … know the fundamentals of Generative AI and have a good understanding of the science behind it, including LLMs, VLMs, transformers and fine-tuning techniques. A robust understanding of traditional ML and evaluation techniques, and a good understanding of the research and developments around Generative AI evaluation techniques. You get satisfaction from seeing your work shipped and driving measurable impact to More ❯

security, access control and authorisation, GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric or Analytic models Experience of building Machine Learning models Any experience in MLOps or operationalising Machine Learning Knowledge of Data Quality Frameworks in Python Qualifications: Industry focused degree or equivalent working experience Azure More ❯

robust, automated, and scalable deployment environments. This position is ideal for someone passionate about infrastructure automation, cloud-native solutions, and enabling the deployment of complex applications, including AI/ML models. Key Responsibilities: Maintain and optimize our cloud infrastructure (primarily AWS) with a focus on reliability, scalability, and cost efficiency. Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such … as Terraform. Build and maintain CI/CD pipelines for application, data, and model deployment workflows. Collaborate with engineering and data science teams to deploy and monitor machine learning models and analytical services. Implement and enforce security best practices across cloud and network environments. Troubleshoot deployment and performance issues across multiple environments. Set up and maintain observability tools … as Bash and Python. Solid understanding of cloud security and networking best practices. Strong experience with Linux system administration and performance tuning. Experience working collaboratively with engineering, data, and ML teams to deliver scalable solutions. Willingness and ability to quickly learn and adopt new tools and technologies. Preferred Qualifications: AWS certifications (e.g., Solutions Architect Associate/Professional, DevOps Engineer). More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯