1,526 to 1,550 of 4,245 Machine Learning Jobs in England

the other dedicated to fundamental research that supports both our applications and the broader scientific community. Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- Contribute to ongoing research in machine learning and artificial intelligence Help develop and implement algorithms Collaborate with researchers and … in preparing publications and technical reports Stay up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience … similar Strong problem-solving skills and ability to work independently and collaboratively Good communication skills and ability to present complex ideas clearly Nice-to-have Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Previous research publications or submitted papers Why Join Us Gain hands-on More ❯

the other dedicated to fundamental research that supports both our applications and the broader scientific community. Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- Contribute to ongoing research in machine learning and artificial intelligence Help develop and implement algorithms Collaborate with researchers and … in preparing publications and technical reports Stay up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience … similar Strong problem-solving skills and ability to work independently and collaboratively Good communication skills and ability to present complex ideas clearly Nice-to-have Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Previous research publications or submitted papers Why Join Us Gain hands-on More ❯

the other dedicated to fundamental research that supports both our applications and the broader scientific community. Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- Contribute to ongoing research in machine learning and artificial intelligence Help develop and implement algorithms Collaborate with researchers and … in preparing publications and technical reports Stay up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience … similar Strong problem-solving skills and ability to work independently and collaboratively Good communication skills and ability to present complex ideas clearly Nice-to-have Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Previous research publications or submitted papers Why Join Us Gain hands-on More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

the technical direction of the product and mentoring other engineers on next-generation agentic AI best practices. The Role This senior role sits at the nexus of AI/ML engineering and DevOps. You will be instrumental in turning high-level AI concepts into production reality. The scope includes: Architecting and optimizing multi-agent AI pipelines with 4+ agents for … business. More information can be found at attisglobal.com. SEO Keywords for Search Senior AI Engineer, Full-Stack AI, Agentic AI, LangGraph, LangChain, Multi-Agent System, Large Language Models, LLMs, Machine Learning, MLOps, Data Scientist, Artificial Intelligence, AWS, Terraform, Kubernetes, EKS, Docker, Containerisation, Python, Go, Bash, CI/CD, GitHub Actions, Argo CD, Edge AI, Offline AI, MOD Clearance More ❯

the technical direction of the product and mentoring other engineers on next-generation agentic AI best practices. The Role This senior role sits at the nexus of AI/ML engineering and DevOps. You will be instrumental in turning high-level AI concepts into production reality. The scope includes: Architecting and optimizing multi-agent AI pipelines with 4+ agents for … business. More information can be found at attisglobal.com. SEO Keywords for Search Senior AI Engineer, Full-Stack AI, Agentic AI, LangGraph, LangChain, Multi-Agent System, Large Language Models, LLMs, Machine Learning, MLOps, Data Scientist, Artificial Intelligence, AWS, Terraform, Kubernetes, EKS, Docker, Containerisation, Python, Go, Bash, CI/CD, GitHub Actions, Argo CD, Edge AI, Offline AI, MOD Clearance More ❯

truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. Partner with product and leadership to define the More ❯

truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. Partner with product and leadership to define the More ❯

truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. Partner with product and leadership to define the More ❯

truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. Partner with product and leadership to define the More ❯

truth" network data from the integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. Partner with product and leadership to define the More ❯

Software Engineer - AI/ML | Leading Pharma Client | 6-Month Contract | Inside IR35 | Hybrid (3 Days Onsite) My client, a global pharmaceutical leader, is looking for an experienced Software Engineer to contribute to the development of cutting-edge AI/ML solutions aimed at transforming healthcare. This is a 6-month contract , inside IR35 , offering hybrid working (3 days onsite … . Key Responsibilities Develop robust backend systems for Python-based web applications Integrate AI/ML components with data, infrastructure, and frontend systems Deliver high-quality, well-documented, and thoroughly tested code Monitor and enhance performance of tools and services Collaborate across technical teams to build end-to-end data pipelines Essential Skills Proven experience in Python backend development (e.g. … Bonus: Background in biological sciences or pharmaceutical industry Preferred Skills Experience with Docker and multi-container architectures Exposure to scientific datasets (e.g. genomics, proteomics) Familiarity with AI/ML deployment, especially NLP tools (LangGraph, AutoGen) Understanding of AI/ML evaluation and iterative improvement Some experience with frontend development (e.g. React) If this opportunity aligns with your experience and More ❯

data for analysis and modelling Learn to use data science tools (Python, Jupyter, cloud platforms) and apply them to real BBC projects Assist in running experiments and evaluations of machine learning models, guided by senior colleagues Contribute to simple visualisations and reports that help communicate findings to the wider team Stay curious about the latest developments in AI … to deliver valuable audience insights Be part of a team using data to transform the way the BBC operates Training You’ll study for your industry recognised apprenticeship qualification, learning both on and off the job. This means you’ll spend at least one day a week studying for a BSc (Hons) in Data Science with BPP University remotely … learning: Data Infrastructure & Tools Data Visualisation & Dashboards Data Engineering Data Analytics Project Management Machine Learning Artificial Intelligence & Deep Learning This is a fixed-term apprenticeship - your contract lasts for the duration of the scheme Once completed, you’ll be supported with career development, employability training, and networking opportunities to help you take your next step- whether More ❯

Software Engineer - AI/ML | Leading Pharma Client | 6-Month Contract | Inside IR35 | Hybrid (3 Days Onsite) My client, a global pharmaceutical leader, is looking for an experienced Software Engineer to contribute to the development of cutting-edge AI/ML solutions aimed at transforming healthcare. This is a 6-month contract , inside IR35 , offering hybrid working (3 days onsite … . Key Responsibilities Develop robust backend systems for Python-based web applications Integrate AI/ML components with data, infrastructure, and frontend systems Deliver high-quality, well-documented, and thoroughly tested code Monitor and enhance performance of tools and services Collaborate across technical teams to build end-to-end data pipelines Essential Skills Proven experience in Python backend development (e.g. … Bonus: Background in biological sciences or pharmaceutical industry Preferred Skills Experience with Docker and multi-container architectures Exposure to scientific datasets (e.g. genomics, proteomics) Familiarity with AI/ML deployment, especially NLP tools (LangGraph, AutoGen) Understanding of AI/ML evaluation and iterative improvement Some experience with frontend development (e.g. React) If this opportunity aligns with your experience and More ❯

days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. You’ll work alongside experienced engineers and … creative, fast-paced environment. Key Responsibilities: Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute … MLOps and modern data engineering best practices Why join: You’ll be part of a company with a clear mission and strong data culture, joining a team that values learning, collaboration, and creativity. The role offers real opportunities to grow towards senior and platform-focused positions, working with a modern tech stack and talented peers. Package & Setup More ❯

days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. You’ll work alongside experienced engineers and … creative, fast-paced environment. Key Responsibilities: Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute … MLOps and modern data engineering best practices Why join: You’ll be part of a company with a clear mission and strong data culture, joining a team that values learning, collaboration, and creativity. The role offers real opportunities to grow towards senior and platform-focused positions, working with a modern tech stack and talented peers. Package & Setup More ❯

days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. You’ll work alongside experienced engineers and … creative, fast-paced environment. Key Responsibilities: Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute … MLOps and modern data engineering best practices Why join: You’ll be part of a company with a clear mission and strong data culture, joining a team that values learning, collaboration, and creativity. The role offers real opportunities to grow towards senior and platform-focused positions, working with a modern tech stack and talented peers. Package & Setup More ❯

days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. You’ll work alongside experienced engineers and … creative, fast-paced environment. Key Responsibilities: Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute … MLOps and modern data engineering best practices Why join: You’ll be part of a company with a clear mission and strong data culture, joining a team that values learning, collaboration, and creativity. The role offers real opportunities to grow towards senior and platform-focused positions, working with a modern tech stack and talented peers. Package & Setup More ❯

predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. … data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary More ❯

predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. … data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary More ❯

predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. … data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary More ❯

in leading the technical team, overseeing daily operations and project delivery. Manage full-stack software development projects from conception through to deployment. Lead the design, development, and deployment of machine learning models and data tools within a cloud environment to improve credit and lending decisions. Collaborate with underwriters and business teams to enhance and automate credit risk modelling … external relationships, including cybersecurity operations and infrastructure support. Balance hands on technical delivery with strategic oversight and continuous improvement. Experience required Strong background in Software Development, Data Science or Machine Learning Advanced proficiency in Python and SQL Experience with Cloud Platforms (AWS, Azure or GCP) Expertise with CRM's Strong understanding of cybersecurity, IT Infrastructure and Project Management More ❯