of our AI. Working closely with the STEM Lead and your team, your primary responsibility will be to meticulously create, review, and refine high-quality data. This involves evaluating AI responses for accuracy, clarity, and pedagogical effectiveness, ensuring they are insightful, well-structured, and tailored to the learner's level. You will apply your deep subject matter expertise to provide … critical feedback that directly enhances the AI's ability to teach millions at scale through technology. Profile of the Ideal Candidate I. Core Responsibilities High-Quality Data Creation & Curation: Meticulously create and refine high-quality data, including detailed solutions, explanations, and step-by-step derivations for STEM problems across various difficulty levels. Ensure all content adheres strictly to established quality … rubrics, style guides, and pedagogical standards, focusing on accuracy, clarity, and effectiveness. Integrate subject matter expertise to provide comprehensive and insightful explanations that anticipate common student misconceptions. AI Response Evaluation & Feedback: Rigorously evaluate AI-generated responses for correctness, coherence, pedagogical soundness, and adherence to specific instructions. Provide clear, constructive, and actionable feedback to the AI model, identifying errors, inaccuracies, or More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Unitary
Machine Learning Engineer Description The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps … businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top-tier funds, including Creandum and Plural, and operate at significant scale - analysing millions of daily images … very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI-automated solutions. Your mission will be to ensure our customers More ❯
Machine Learning Engineer Description The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps … businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top-tier funds, including Creandum and Plural, and operate at significant scale - analysing millions of daily images … very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI-automated solutions. Your mission will be to ensure our customers More ❯
Copilot Lead, Azure OpenAI, Copilot Studio, Microsoft Fabric, Microsoft Graph, Azure Cognitive Services, Databricks, Power Platform, AI Builder, Power Automate, Dynamics 365 (F&O/CE/BC), LLMs, agentic AI, product ownership, roadmap, backlog, MLOps, Responsible AI, data governance, rapid prototyping, commercialisation, £75,000 - £80,000 per annum Copilot Lead - Join a trusted Microsoft Partner specialising in business and … technology transformation for project-based companies. Reporting to the CTO, you will set the vision, strategy, and execution plan for AI and digital product innovation across the Microsoft ERP portfolio. This is a hands-on leadership role that blends product ownership with delivery oversight - shaping an innovation roadmap, prioritising high-value use cases, and turning concepts into scalable, market-ready … IP. You will lead a small, cross-functional squad initially of 1–3, scaling over time, and work closely with consulting, engineering, and go-to-market teams to embed AI into Dynamics 365 and the Power Platform. Education and Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or related field, or equivalent practical experience. More ❯
Machine Learning Engineer Description The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps … businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top-tier funds, including Creandum and Plural, and operate at significant scale - analysing millions of daily images … very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI-automated solutions. Your mission will be to ensure our customers More ❯
Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. … with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform. What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over … quality, latency, and cost metrics. What makes you a great fit Startup hacker mindset: You self‐start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert More ❯
MSc) candidate for a 12-week internship (ideally from February 2026) to join CMD Labs – an applied science team within Microsoft Teams – to work on the next generation of AI supported meeting experiences. The intern will be fully onboarded onto our current science and production code base and be expected to investigate, propose, implement and test new algorithms and approaches … to product. The intern will also be expected to present results internally at the end of the position and write up the work for publication in a leading academic AI conference (e.g. ICML, NeurIPS, ACL, CVPR, Interspeech). You will partner with research, product and engineering teams to invent and deliver the future for Microsoft Teams, Microsoft Copilot and other … AI products. This role is based in Cambridge (United Kingdom). Our culture is inclusive and collaborative; our team members come from diverse backgrounds, are respectful to one another and achieve impact by building on each other's strengths and skills. We focus our energy on AI projects that are likely to have high impact on our products and bring More ❯
Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. … with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform. What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over … quality, latency, and cost metrics. What makes you a great fit Startup hacker mindset: You self‐start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert More ❯
Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. … with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform. What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over … quality, latency, and cost metrics. What makes you a great fit Startup hacker mindset: You self‐start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert More ❯
Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. … with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform. What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over … quality, latency, and cost metrics. What makes you a great fit Startup hacker mindset: You self‐start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert More ❯
london (city of london), south east england, united kingdom
Clarity (formerly Anecdote)
Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. … with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform. What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over … quality, latency, and cost metrics. What makes you a great fit Startup hacker mindset: You self‐start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert More ❯
Are you passionate about using data and technology to make a real-world difference? Join a global leader in pet health and nutrition that’s harnessing the power of AI and machine learning to create a better world for pets — and the people who care for them. This company organisation is transforming how we understand and deliver pet wellbeing through … Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how advanced … direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow More ❯
Are you passionate about using data and technology to make a real-world difference? Join a global leader in pet health and nutrition that’s harnessing the power of AI and machine learning to create a better world for pets — and the people who care for them. This company organisation is transforming how we understand and deliver pet wellbeing through … Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how advanced … direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow More ❯
Are you passionate about using data and technology to make a real-world difference? Join a global leader in pet health and nutrition that's harnessing the power of AI and machine learning to create a better world for pets - and the people who care for them. This company organisation is transforming how we understand and deliver pet wellbeing through … Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You'll be the technical lead for machine learning and AI engineering - building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you'll play a pivotal role in defining how advanced … direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework - from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow More ❯
Are you passionate about using data and technology to make a real-world difference? Join a global leader in pet health and nutrition that’s harnessing the power of AI and machine learning to create a better world for pets — and the people who care for them. This company organisation is transforming how we understand and deliver pet wellbeing through … Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how advanced … direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow More ❯
london (city of london), south east england, united kingdom
La Fosse
Are you passionate about using data and technology to make a real-world difference? Join a global leader in pet health and nutrition that’s harnessing the power of AI and machine learning to create a better world for pets — and the people who care for them. This company organisation is transforming how we understand and deliver pet wellbeing through … Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how advanced … direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow More ❯
Are you passionate about using data and technology to make a real-world difference? Join a global leader in pet health and nutrition that’s harnessing the power of AI and machine learning to create a better world for pets — and the people who care for them. This company organisation is transforming how we understand and deliver pet wellbeing through … Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how advanced … direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow More ❯
consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML/AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning … scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. Key Responsibilities Build, deploy and maintain machine learning models as APIs, streams, and batch services Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on … with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud environments (AWS preferred; Terraform a bonus) Strong communication skills and interest in the latest ML/AI developments Comfortable in collaborative, cross-functional teams with fast iteration cycles If this role interests you and you would like to find out more (or find out about other roles More ❯
consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML/AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning … scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. Key Responsibilities Build, deploy and maintain machine learning models as APIs, streams, and batch services Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on … with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud environments (AWS preferred; Terraform a bonus) Strong communication skills and interest in the latest ML/AI developments Comfortable in collaborative, cross-functional teams with fast iteration cycles If this role interests you and you would like to find out more (or find out about other roles More ❯
Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver … scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. We're looking for a motivated DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to … they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AIMore ❯
Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … help shape the future of their data-driven platform. The Role The Senior Data Engineer will take ownership, shape the data foundations, and help power the next generation of AI-driven solutions. This is a hands-on, high-impact role where you’ll design and build cloud-native data pipelines, champion best practices and automation, and help the engineering team …/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Datatech Analytics
Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … help shape the future of their data-driven platform. The Role The Senior Data Engineer will take ownership, shape the data foundations, and help power the next generation of AI-driven solutions. This is a hands-on, high-impact role where you’ll design and build cloud-native data pipelines, champion best practices and automation, and help the engineering team …/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation More ❯
Senior Data Engineer - (ML Deployment Experience Required) Location: London (Hybrid: Monday-Wednesday in office) Salary: £65,000-£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … help shape the future of their data-driven platform. The Role The Senior Data Engineer will take ownership, shape the data foundations, and help power the next generation of AI-driven solutions. This is a hands-on, high-impact role where you'll design and build cloud-native data pipelines, champion best practices and automation, and help the engineering team …/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation More ❯
london, south east england, united kingdom Hybrid / WFH Options
Datatech Analytics
Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … help shape the future of their data-driven platform. The Role The Senior Data Engineer will take ownership, shape the data foundations, and help power the next generation of AI-driven solutions. This is a hands-on, high-impact role where you’ll design and build cloud-native data pipelines, champion best practices and automation, and help the engineering team …/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Datatech Analytics
Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … help shape the future of their data-driven platform. The Role The Senior Data Engineer will take ownership, shape the data foundations, and help power the next generation of AI-driven solutions. This is a hands-on, high-impact role where you’ll design and build cloud-native data pipelines, champion best practices and automation, and help the engineering team …/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation More ❯
