new features or fixes meet business requirements Documentation: Create clear, detailed documentation including process flows, use cases, user stories, and training materials AI: Champion the use of AI and machinelearning to automate time-consuming media processes - e.g., audience insights Monetization: Understanding of media monetization strategies (e.g., ad-based, subscription, licensing) Collaboration: Work closely with senior leadership to More ❯
Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when … Monthly Engineering & Architecture Community of Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory (spouse and dependants included) Worldwide More ❯
london, south east england, united kingdom Hybrid / WFH Options
Compare the Market
transformation—building the infrastructure and tooling that enables our data scientists to move from prototype to production quickly, safely, and at scale. You'll be part of a growing ML Engineering team, contributing to a modern MLOps platform and delivering robust ML services in collaboration with product, engineering, and data science colleagues. This is a hands-on role that's … ideal for someone who wants to grow in a high-impact environment with strong mentorship and real ownership. What You'll Be Doing ML Engineering & Deployment Develop and maintain machinelearning pipelines for training, validation, and deployment Collaborate with data scientists to productionise models and turn prototypes into performant, reliable services Contribute to deployment tooling and automation for … both batch and real-time ML use cases Build monitoring and alerting for model health, performance, and data drift Platform & Standards Support the evolution of our internal ML platform and development workflows Apply best practices in testing, CI/CD, version control, and infrastructure-as-code Contribute to team libraries, reusable components, and shared deployment patterns Collaboration & Growth Work in More ❯
monitoring inference efficiency. Collaborate with product, research, and engineering teams to integrate AI solutions into production systems. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. 5+ years of experience in AI/ML engineering, with a focus on large language models and AI operations. Strong expertise in designing and deploying LLMs … in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, or similar), and cloud platforms (AWS, GCP, Azure). This is a full-time, permanent role, with a flexible hybrid working arrangement: 2 days in the Warwick office and 3 days from home. Our client offers a competitive salary More ❯
Warwick, Warwickshire, West Midlands, United Kingdom Hybrid / WFH Options
Halian Technology Limited
pipelines, and monitoring inference efficiency. Collaborate with product, research, and engineering teams to integrate AI solutions into production systems. Qualifications: Bachelors or Masters degree in Computer Science, AI/ML, or a related field. 5+ years of experience in AI/ML engineering, with a focus on large language models and AI operations. Strong expertise in designing and deploying LLMs … in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, or similar), and cloud platforms (AWS, GCP, Azure). This is a full-time, permanent role, with a flexible hybrid working arrangement: 2 days in the Warwick office and 3 days from home. Our client offers a competitive salary More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Staff Software Engineer – AI/ML (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 the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Staff Software Engineer – AI/ML (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 the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. 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 ❯
london, south east england, united kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Staff Software Engineer – AI/ML (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 the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. 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 ❯
slough, south east england, united kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Staff Software Engineer – AI/ML (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 the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. 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 ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
Staff Software Engineer – AI/ML (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 the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. 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 ❯
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. You'll play a key role in designing and engineering platform services that treat data as a core product. … cloud tooling and automation-first principles. Implement CI/CD pipelines, testing frameworks, and container-based deployments to ensure reliability and repeatability. Collaborate with product engineers, data scientists, and ML practitioners to understand their workflows and deliver high-impact platform solutions. Proactively monitor system performance, automate incident response, and strengthen platform resilience. Strong proficiency in Python (or a similar high … 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 ❯
with strong flexibility for remote work. Your Role Design, build, and deploy generative AI systems (LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt … safety). Optimise models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector … databases, and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week in the London More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Method Resourcing
with strong flexibility for remote work. Your Role Design, build, and deploy generative AI systems (LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt … safety). Optimise models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector … databases, and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week in the London More ❯
customers worldwide. What Youll Do Design, build, and maintain high-performance backend systems in Python Develop APIs, data pipelines, and integrations that support AI-driven features Work closely with ML and product teams to deploy AI models into production Optimize systems for reliability, scalability, and performance Implement robust monitoring, logging, and observability practices Contribute to architectural decisions and guide best … Tech Stack Core: Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) About You 4+ years of professional experience building production-grade systems in Python Solid understanding of backend architecture, API design, and data modeling More ❯
worldwide. ️ What You'll Do Design, build, and maintain high-performance backend systems in Python Develop APIs, data pipelines, and integrations that support AI-driven features Work closely with ML and product teams to deploy AI models into production Optimize systems for reliability, scalability, and performance Implement robust monitoring, logging, and observability practices Contribute to architectural decisions and guide best … Tech Stack Core: Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) About You 4+ years of professional experience building production-grade systems in Python Solid understanding of backend architecture, API design, and data modeling More ❯
worldwide. ✉️ What You’ll Do Design, build, and maintain high-performance backend systems in Python Develop APIs, data pipelines, and integrations that support AI-driven features Work closely with ML and product teams to deploy AI models into production Optimize systems for reliability, scalability, and performance Implement robust monitoring, logging, and observability practices Contribute to architectural decisions and guide best … Tech Stack Core: Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) 👀 About You 4+ years of professional experience building production-grade systems in Python Solid understanding of backend architecture, API design, and data modeling More ❯
worldwide. ✉️ What You’ll Do Design, build, and maintain high-performance backend systems in Python Develop APIs, data pipelines, and integrations that support AI-driven features Work closely with ML and product teams to deploy AI models into production Optimize systems for reliability, scalability, and performance Implement robust monitoring, logging, and observability practices Contribute to architectural decisions and guide best … Tech Stack Core: Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) 👀 About You 4+ years of professional experience building production-grade systems in Python Solid understanding of backend architecture, API design, and data modeling More ❯
worldwide. What You ll Do Design, build, and maintain high-performance backend systems in Python Develop APIs, data pipelines, and integrations that support AI-driven features Work closely with ML and product teams to deploy AI models into production Optimize systems for reliability, scalability, and performance Implement robust monitoring, logging, and observability practices Contribute to architectural decisions and guide best … Tech Stack Core: Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) &##128064; About You 4+ years of professional experience building production-grade systems in Python Solid understanding of backend architecture, API design, and data More ❯
Spatial AI models. Managing and optimising the inference stack for running complex AI models (in-house or via cloud providers). Developing internal tools to monitor, evaluate, and improve ML model performance. Working across the full stack - from front-end experiences to backend APIs and cloud deployment. Implementing best practices for performance, scalability, and security. What we're looking for … and API design/integration. Familiarity with CI/CD pipelines and modern DevOps workflows. Understanding of authentication, authorization, and web security best practices. Nice-to-haves: Experience deploying ML models using AWS Sagemaker, Hugging Face, or Replicate . Familiarity with WebGL, THREE.js , or other 3D graphics frameworks. Interest in AI, generative models, and spatial computing . More ❯
systems and external data sources. Strategic Leadership Build the vision for a modern, cloud-based data platform (e.g. Microsoft Fabric, Synapse, Databricks, Snowflake), enabling real-time analytics, AI/ML and self-serve BI. Define and deliver the enterprise data strategy, aligned with business and regulatory priorities. Act as the senior owner of data governance, ensuring compliance with FCA, GDPR … knowledge of data governance, GDPR, and FCA regulatory requirements. Hands-on technical ability across SQL, Python, ETL/ELT, APIs and cloud-native data services. Experience introducing AI/ML and advanced analytics capabilities into operational and decisioning contexts. Strong stakeholder management skills, able to translate technical concepts into business value for executives and non-technical teams. Track record of More ❯
