451 to 475 of 3,737 Machine Learning Jobs in England

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be … mentor other engineers, and help define how AI and automation are adopted across the company. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London-based Remote if you don't live in London (2 days in office if you are London based) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. … As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language … mentor other engineers, and help define how AI and automation are adopted across the company. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London-based Remote if you don't live in London (2 days in office if you are London based) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. … As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language … mentor other engineers, and help define how AI and automation are adopted across the company. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set More ❯

help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a GEN AI/ML Engineer who can collaborate with stakeholders to understand business challenges and translate them into technical solutions. Build and iterate AI-powered solutions, integrating LLMs and other AI components into business … Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy More ❯

help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a GEN AI/ML Engineer who can collaborate with stakeholders to understand business challenges and translate them into technical solutions. Build and iterate AI-powered solutions, integrating LLMs and other AI components into business … Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy More ❯

help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a GEN AI/ML Engineer who can collaborate with stakeholders to understand business challenges and translate them into technical solutions. Build and iterate AI-powered solutions, integrating LLMs and other AI components into business … Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy More ❯

help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a GEN AI/ML Engineer who can collaborate with stakeholders to understand business challenges and translate them into technical solutions. Build and iterate AI-powered solutions, integrating LLMs and other AI components into business … Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy More ❯

help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a GEN AI/ML Engineer who can collaborate with stakeholders to understand business challenges and translate them into technical solutions. Build and iterate AI-powered solutions, integrating LLMs and other AI components into business … Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy More ❯

are passionate about machine learning, AI, and want to contribute to the platform capability development for our whole organization, we invite you to apply. Responsibilities: Design the ML deploy, monitoring pipelines and engineering infrastructure to support enterprise machine learning systems at scale Take offline models data scientists build and turn them into a real machine … Administration with at least 4 years of experience in AWS & Terraform, Jenkins, Cloudformation or any other IAAC . Proven Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer on AWS Sagemaker and similar tools Knowledge and experience with CI/CD tools. Strong hands-on technical skills in automation (Jenkins, GitLab, Docker, Kubernetes, Shell Scripting etc … and deploying workloads on cloud, preferably AWS. Associate Certification (preferable) in AWS Development and/or Architect or any cloud related certification (Terraform/chef). Understanding of AI, ML & Generative AI domain will be an added advantage as the team is focused on creating AIML capabilities for the organization. Ability to analyze escalations, prioritize, identify owners, track and facilitate More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … large team. Our leaders will be committed to your career and development from day one. Key responsibilities Back end development for a Python web application 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 … Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … large team. Our leaders will be committed to your career and development from day one. Key responsibilities Back end development for a Python web application 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 … Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … large team. Our leaders will be committed to your career and development from day one. Key responsibilities Back end development for a Python web application 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 … Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … large team. Our leaders will be committed to your career and development from day one. Key responsibilities Back end development for a Python web application 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 … Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … large team. Our leaders will be committed to your career and development from day one. Key responsibilities Back end development for a Python web application 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 … Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … large team. Our leaders will be committed to your career and development from day one. Key responsibilities Back end development for a Python web application 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 … Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … large team. Our leaders will be committed to your career and development from day one. Key responsibilities Back end development for a Python web application 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 … Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … large team. Our leaders will be committed to your career and development from day one. Key responsibilities Back end development for a Python web application 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 … Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and More ❯

for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model … SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for … model training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design - Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and More ❯

Job Description we are building an enterprise-grade AI/ML Data Platform that enables scalable, secure, and responsible machine learning across the firm. We are seeking a Lead Software Engineer with a strong background in software development and platform engineering to help drive the Test Engineering Programa strategic initiative focused on building robust, intelligent validation frameworks and … infrastructure that power our ML and data products. This is a software engineering role embedded in quality and reliability initiatives. Youll architect and develop tools, services, and automation that elevate platform assurance across large-scale distributed systems. If you're passionate about platform quality, CI/CD excellence, infrastructure-as-code, and bringing engineering rigor to validation, this is your … opportunity to make a major impact. Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platforms CI/CD pipeline by integrating automated testing, resilience checks More ❯

a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS … massive datasets. Specifically, you can expect to be involved in the following: Developing and maintaining large-scale data pipelines and backend systems in Python . Working with AI/ML datasets to help train and deploy new detection models. Building and improving integrations, and working on greenfield product developments. Collaborating with data science and applications teams to deliver features at … SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: Strong Python (python frameworks), backend development experience (3+ years) Experience working with AI/ML or big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or More ❯

a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS … massive datasets. Specifically, you can expect to be involved in the following: Developing and maintaining large-scale data pipelines and backend systems in Python . Working with AI/ML datasets to help train and deploy new detection models. Building and improving integrations, and working on greenfield product developments. Collaborating with data science and applications teams to deliver features at … SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: Strong Python (python frameworks), backend development experience (3+ years) Experience working with AI/ML or big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or More ❯

a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS … massive datasets. Specifically, you can expect to be involved in the following: Developing and maintaining large-scale data pipelines and backend systems in Python . Working with AI/ML datasets to help train and deploy new detection models. Building and improving integrations, and working on greenfield product developments. Collaborating with data science and applications teams to deliver features at … SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: Strong Python (python frameworks), backend development experience (3+ years) Experience working with AI/ML or big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or More ❯

a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS … massive datasets. Specifically, you can expect to be involved in the following: Developing and maintaining large-scale data pipelines and backend systems in Python . Working with AI/ML datasets to help train and deploy new detection models. Building and improving integrations, and working on greenfield product developments. Collaborating with data science and applications teams to deliver features at … SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: Strong Python (python frameworks), backend development experience (3+ years) Experience working with AI/ML or big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or More ❯

a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS … massive datasets. Specifically, you can expect to be involved in the following: Developing and maintaining large-scale data pipelines and backend systems in Python . Working with AI/ML datasets to help train and deploy new detection models. Building and improving integrations, and working on greenfield product developments. Collaborating with data science and applications teams to deliver features at … SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: Strong Python (python frameworks), backend development experience (3+ years) Experience working with AI/ML or big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer … for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Lead Data Engineer candidates More ❯