776 to 800 of 3,683 Machine Learning Jobs in England

the UK's leading online retailers as they evolve their next-generation data platform. This is an opportunity to shape the backbone of a modern data ecosystem, empowering analysts, ML engineers, and data scientists to deliver smarter, faster insights at scale. The Role You'll play a key role in designing and engineering platform services that treat data as a … best practices: Implement CI/CD pipelines, testing frameworks, and container-based deployments to ensure reliability and repeatability. Lead cross-functional initiatives: Collaborate with product engineers, data scientists, and ML practitioners to understand their workflows and deliver high-impact platform solutions. Champion operational reliability: Proactively monitor system performance, automate incident response, and strengthen platform resilience. What You'll Bring Strong … of software engineering best practices - testing, automation, clean code, and CI/CD. Proven track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud More ❯

the UK's leading online retailers as they evolve their next-generation data platform. This is an opportunity to shape the backbone of a modern data ecosystem, empowering analysts, ML engineers, and data scientists to deliver smarter, faster insights at scale. The Role You'll play a key role in designing and engineering platform services that treat data as a … best practices: Implement CI/CD pipelines, testing frameworks, and container-based deployments to ensure reliability and repeatability. Lead cross-functional initiatives: Collaborate with product engineers, data scientists, and ML practitioners to understand their workflows and deliver high-impact platform solutions. Champion operational reliability: Proactively monitor system performance, automate incident response, and strengthen platform resilience. What You'll Bring Strong … of software engineering best practices - testing, automation, clean code, and CI/CD. Proven track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud More ❯

that power model training and deployment. Why this role? Build data systems that enable cutting-edge machine learning at scale Work in a high-calibre team alongside ML researchers and engineers Competitive compensation that matches or exceeds top industry benchmarks Your responsibilities Designing and implementing scalable, high-performance data pipelines to support model training and experimentation Collaborating with … machine learning researchers and software engineers to ensure robust integration of data into ML workflows Writing clean, production-level code to support large-scale model development and deployment Optimising storage, retrieval, and processing for complex datasets, including text-heavy/NLP data Evaluating and adopting new technologies to enhance machine learning infrastructure What you bring Strong … software engineering experience, with a focus on writing high-quality, scalable code Experience in data engineering or data-intensive systems, ideally within ML-driven teams Familiarity with machine learning workflows - especially model training and experimentation Proficiency in programming languages such as Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka More ❯

that power model training and deployment. Why this role? Build data systems that enable cutting-edge machine learning at scale Work in a high-calibre team alongside ML researchers and engineers Competitive compensation that matches or exceeds top industry benchmarks Your responsibilities Designing and implementing scalable, high-performance data pipelines to support model training and experimentation Collaborating with … machine learning researchers and software engineers to ensure robust integration of data into ML workflows Writing clean, production-level code to support large-scale model development and deployment Optimising storage, retrieval, and processing for complex datasets, including text-heavy/NLP data Evaluating and adopting new technologies to enhance machine learning infrastructure What you bring Strong … software engineering experience, with a focus on writing high-quality, scalable code Experience in data engineering or data-intensive systems, ideally within ML-driven teams Familiarity with machine learning workflows - especially model training and experimentation Proficiency in programming languages such as Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka More ❯

feel of fintech innovation. Responsibilities: Advise business leaders on data-driven strategic decisions. Improve corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable … scalable decision-making. 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 ❯

feel of fintech innovation. Responsibilities: Advise business leaders on data-driven strategic decisions. Improve corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable … scalable decision-making. 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 ❯

Maths, Computer Science, or related field Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.) Strong Python engineering background, ideally with cloud experience (GCP preferred) Solid understanding of ML frameworks to complement optimisation Strong communication and collaboration skills The offer: Hybrid & flexible working (2 days per week in Central London) £70K - £90K base + equity options Private healthcare & wellbeing … support Learning & development budget This is a fantastic opportunity to join a growing start-up shaping the future of operational decision-making through advanced optimisation and AI. If you’re interested, reach out for a confidential chat or click apply More ❯

Natural problem-solver with a desire to learn Organised and self-motivated Desirable skills Containerisation ASP.NET Core including Blazor JavaScript or TypeScript including React Programming with 3D geometry. WPF Machine learning model development CI/CD Infrastructure as Code (Iac) using Terraform for management of Azure and AWS resources More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

Natural problem-solver with a desire to learn Organised and self-motivated Desirable skills Containerisation ASP.NET Core including Blazor JavaScript or TypeScript including React Programming with 3D geometry. WPF Machine learning model development CI/CD Infrastructure as Code (Iac) using Terraform for management of Azure and AWS resources More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

/CD and DevOps for data engineering. A detail-oriented mindset and strong problem-solving skills. Bonus Skills: Experience with big data tools (e.g., Hadoop , Spark ). Exposure to machine learning workflows . Understanding of prompt engineering concepts. Benefits: 25 days annual leave (plus bank holidays). An additional day of paid leave for your birthday (or Christmas … support to help you move forward. We’re here to support you and make the most out of your time with us, through challenging work, opportunities to grow and learning and development opportunities. Be part of the TXP growth journey. We are a high growth, fast paced environment. We currently have 200+ employees and work with clients across the More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

to lead the design and implementation of the intelligent data architecture. This role is pivotal in shaping how data is structured, integrated, and leveraged across the organisation to drive Machine Learning, AI, research and analytics. As a Data Architect, you will collaborate with cross-functional teams to define data standards, build scalable data models, and ensure robust data More ❯

e.g., Census) Knowledge of data privacy regulations (GDPR, ISO 27001) Experience supporting customer-facing analytics features in a multi-tenant SaaS environment Experience building data pipelines for AI and machine learning applications More ❯

Maths, Computer Science, or related field Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.) Strong Python engineering background, ideally with cloud experience (GCP preferred) Solid understanding of ML frameworks to complement optimisation Strong communication and collaboration skills The offer: Hybrid & flexible working (2 days per week in Central London) £70K - £90K base + equity options Private healthcare & wellbeing … support Learning & development budget This is a fantastic opportunity to join a growing start-up shaping the future of operational decision-making through advanced optimisation and AI. If you're interested, reach out for a confidential chat or click apply More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯