1,851 to 1,875 of 4,176 Machine Learning Jobs in England

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. … Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech Teams is essential. … Lead/Senior Engineering Level Mentoring/Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect More ❯

in developing and optimising the backbone of the company's data platform. You'll be responsible for building and maintaining large-scale, real-time data pipelines that power analytics, machine learning, and operational systems across the business. You'll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers reliable, high-quality, and compliant … within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers, analysts, and analytics engineers to understand their data needs and enable advanced data use cases. Contribute to an engineering culture that values testing, peer reviews, and automation-first principles. … compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to date with the latest tools and trends in data engineering and love sharing knowledge with others. More ❯

Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering … foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer • Strong Python skills with experience in frameworks such … experience with AWS, frontend skills • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact • Collaborate with world-class engineers and ML researchers • Hybrid model, 1-2 days a week in our London office • Competitive salary + equity More ❯

Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering … foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer • Strong Python skills with experience in frameworks such … experience with AWS, frontend skills • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact • Collaborate with world-class engineers and ML researchers • Hybrid model, 1-2 days a week in our London office • Competitive salary + equity More ❯

Developer, you'll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You'll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering … foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3-6 years of experience as a Python Developer/Software Engineer • Strong Python skills with experience in frameworks such … experience with AWS, frontend skills • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact • Collaborate with world-class engineers and ML researchers • Hybrid model, 1-2 days a week in our London office • Competitive salary + equity More ❯

Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering … foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer • Strong Python skills with experience in frameworks such … experience with AWS, frontend skills • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact • Collaborate with world-class engineers and ML researchers • Hybrid model, 1-2 days a week in our London office • Competitive salary + equity More ❯

Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering … foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer • Strong Python skills with experience in frameworks such … experience with AWS, frontend skills • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact • Collaborate with world-class engineers and ML researchers • Hybrid model, 1-2 days a week in our London office • Competitive salary + equity More ❯

Developer, you’ll be a key part of our core engineering team, developing backend systems, APIs, and data pipelines that power our AI products. You’ll collaborate closely with machine learning engineers and DevOps to turn research ideas into robust, production-ready applications. This is a high-impact opportunity to shape the engineering … foundations of a pioneering AI company. Responsibilities • Design, build, and maintain high-performance backend systems in Python • Develop and optimize APIs, data processing pipelines, and integration layers • Collaborate with ML engineers to deploy and scale AI models into production Requirements • 3–6 years of experience as a Python Developer/Software Engineer • Strong Python skills with experience in frameworks such … experience with AWS, frontend skills • Startup experience is a plus Why Join Us? • Be part of a pioneering AI startup with global impact • Collaborate with world-class engineers and ML researchers • Hybrid model, 1-2 days a week in our London office • Competitive salary + equity More ❯

London, UK Hybrid (3 days onsite) Duration: Until Dec 2025 (ASAP start) Description: We are seeking an experienced Research Assistant to support ongoing work in the artificial intelligence and machine learning domain . The role will focus on building, testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You … to medium-scale Python codebases. Requirements: Essential: Bachelors degree in Computer Science, Engineering, or related field, or equivalent practical experience. 2+ years experience in prototyping, testing, or research within ML, deep learning, or NLP. Proficiency in Python (intermediate level; ability to navigate multi-file codebases and write clean code). Familiarity with AI agent frameworks such as Model Context More ❯

competitive salary and benefits packages. 💡 The Opportunities: 👉 As an AI Solution Architect , you’ll partner with clients and sales teams to design secure, scalable, end-to-end AI/ML architectures that integrate seamlessly with enterprise systems. 👉 As an AI Solution Engineer , you’ll operate at the intersection of sales and technology, helping clients understand how AI/ML solutions … Security & FinOps, including AI landing zones, model testing, and compliance frameworks ✅ Understanding of Enterprise AI Design principles — scalable, secure, and cost-effective integration ✅ Solid grasp of data science and machine learning fundamentals More ❯

engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or … AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity More ❯

engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or … AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity More ❯

engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or … AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity More ❯

engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or … AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity More ❯

engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or … AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity More ❯

engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or … AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity More ❯

Summary A Research Director at Samsung AI Center leads strategic research initiatives and manages teams of research scientists and engineers working on cutting-edge technologies, particularly in areas of machine learning, generative AI, model compression, optimization, on-device deployment, and emerging technologies that align with Samsung's long-term vision and product ecosystem. Role and Responsibilities Key Responsibilities … collaborative environment that encourages creativity, risk-taking, and breakthrough thinking Build and maintain high-performing, inclusive research teams that deliver exceptional results Education & Experience Education PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical field 10+ years of post-PhD research experience with a strong publication record in top-tier venues as both main contributor and … translating research innovations into real-world products, deployments, or measurable business impact Experience with technology transfer and commercialization processes Technical Expertise Deep expertise in relevant areas of AI/ML, including at least some of large language models, multi-modal generative AI, speech and audio analysis, computer vision, mobile AI, or edge computing Strong understanding of current research trends, emerging More ❯

more information, see this press release: What You'll Do Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing. Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than … Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful. You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas. You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR … libraries: Python, PyTorch, NumPy. You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. You are enthusiastic about learning more about turning research ideas into products operating at scale. You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders. Where More ❯

across marketing, finance, and operations to ensure the data infrastructure supports business growth and audience understanding. Alongside this, you will shape the roadmap for advanced analytics, predictive modelling, and machine learning initiatives that drive customer engagement and commercial performance. Implement and evolve the business-wide data strategy aligned with commercial goals. Lead the design and scaling of the … across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross-functional collaboration. Experience building predictive models or enabling ML-driven insights. More ❯

Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … mitigate malicious bot activities, ensuring the security and integrity of online applications. The team collaborates with product and other engineering teams to implement advanced fraud detection mechanisms and employ machine learning techniques to safeguard digital assets from evolving threats in the cybersecurity landscape. What are we looking for? Proficiency in designing, integrating, and optimizing distributed data processing pipelines … learning, statistical inference, and AI. Curiosity and empathy Comfortable with tackling ambiguous problems and unblocking yourself Bonus Points Knowledge and experience with columnar database like Clickhouse. Experience productionalizing ML models Experience with cluster and configuration management systems such as Docker, Salt Strong web security fundamentals Previous experience in bot and fraud detection What Makes Cloudflare Special? We're not More ❯

working with a fantastic software company that's looking for a Principal Software Engineer to join their team. They've developed a powerful product that utilises data analytics and machine learning to optimise inventory data, built primarily on Java. This is a key role where you'll take ownership of the technical roadmap and manage solutions architecture, acting … scaling and managing production systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. Architect and manage robust solutions and APIs . Deliver More ❯

working with a fantastic software company that's looking for a Principal Software Engineer to join their team. They've developed a powerful product that utilises data analytics and machine learning to optimise inventory data, built primarily on Java. This is a key role where you'll take ownership of the technical roadmap and manage solutions architecture, acting … scaling and managing production systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. Architect and manage robust solutions and APIs . Deliver More ❯

working with a fantastic software company that's looking for a Principal Software Engineer to join their team. They've developed a powerful product that utilises data analytics and machine learning to optimise inventory data, built primarily on Java. This is a key role where you'll take ownership of the technical roadmap and manage solutions architecture, acting … scaling and managing production systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. Architect and manage robust solutions and APIs . Deliver More ❯

across marketing, finance, and operations to ensure the data infrastructure supports business growth and audience understanding. Alongside this, you will shape the roadmap for advanced analytics, predictive modelling, and machine learning initiatives that drive customer engagement and commercial performance. Key Responsibilities Implement and evolve the business-wide data strategy aligned with commercial goals. Lead the design and scaling … across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross-functional collaboration. Experience building predictive models or enabling ML-driven insights. Background within entertainment, media, or audience-based industries is advantageous. More ❯

across marketing, finance, and operations to ensure the data infrastructure supports business growth and audience understanding. Alongside this, you will shape the roadmap for advanced analytics, predictive modelling, and machine learning initiatives that drive customer engagement and commercial performance. Key Responsibilities Implement and evolve the business-wide data strategy aligned with commercial goals. Lead the design and scaling … across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross-functional collaboration. Experience building predictive models or enabling ML-driven insights. Background within entertainment, media, or audience-based industries is advantageous. More ❯