11 of 11 Permanent Machine Learning Jobs in Altrincham

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

deployment. Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring More ❯

have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how More ❯

of RAG solutions • Drive Agentic development and intelligent automation • Provide guidance on AI architecture and technology strategy • Build and deploy scalable machine learning applications on AWS • Apply ML Ops tooling and workflows for training, deployment, and monitoring • Evaluate and compare multiple AI solutions to select the best fit • Deliver secure, compliant solutions, mitigating both external and internal risks … Proven experience delivering RAG implementations in production environments • Strong background in Agentic development and LLM system design • Experience with MCP or similar model control frameworks • Hands-on experience with ML Ops tooling and workflows (CI/CD, model lifecycle, monitoring) • Deep understanding of security and governance in AI environments • Advanced experience working with AWS infrastructure • Strong analytical and communication skills More ❯

work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate … with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. You’ll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. 💰 Up to £600/Day … Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecycle—from data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor More ❯

with Strong React/Next.js, experience with Tailwind and UI best practices would be highly beneficial Experience with cloud infrastructure (AWS/Azure/GCP), DevOps and data/ML workflows Happy to liaise with clients If you can see yourself in a mission-led, impact-focused team, apply now! JavaScript Full-Stack Engineer - Climate-Tech Start-Up - Fully Remote More ❯

aligned to long-term growth Our Technical Stack • Frontend: React with Tailwind • Backend: Python (Django) • Cloud: AWS (Lambda, S3, Cognito, API Gateway, PostgreSQL) • AI: Native AWS services plus custom ML pipelines • DevOps: GitHub Actions, Infrastructure as Code, containers, CI and CD What You Will Do • Lead development across both frontend and backend • Own architectural decisions and platform integration using AWS More ❯

backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path No previous professional experience is required to apply to this role, however, working on this project … program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity All qualified applicants will receive consideration More ❯

backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path No previous professional experience is required to apply to this role, however, working on this project … program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity All qualified applicants will receive consideration More ❯