1 to 25 of 60 LLM Jobs in the North West

production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). LLM experience Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to non-technical audiences. Passionate about applying AI responsibly and effectively in business contexts. Benefits Hybrid working More ❯

production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). LLM experience Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to non-technical audiences. Passionate about applying AI responsibly and effectively in business contexts. Benefits Hybrid working More ❯

The bonus potential is unparalleled. The challenges genuinely interesting from a data perspective. The Applied AI Engineer will design, develop, and implement AI/ML and large language model (LLM) solutions to support the firms research, trading, and decision-making activities. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast. Responsibilities : Design … and implement AI/ML/LLM-driven models, tools, workflows, and agents to support investment professionals Research, prototype, productionise, and deploy software applications using Python Engage with domain experts to identify, evaluate, and execute high-value AI use cases Remain up to date with developments in AI/LLM technology and recommend relevant advancements Requirements : 2-5+ years … experience in an AI-focused enterprise/start-up Strong Python skills Strong practical experience in LLM concepts (context engineering, RAG, tool calling, workflows, multi-agent systems, MCP) Hands-on experience with frameworks like LangChain, Llamaindex, etc., vector stores, LLM APIs (e.g. OpenAI API, Anthropic API), and building MCP servers/clients Financial services/hedge fund experience is desirable More ❯

and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud … 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 to take More ❯

and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud … 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 to take More ❯

and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud … 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 to take More ❯

and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud … 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 to take More ❯

and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud … 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 to take More ❯

About RAAS Lab RAAS Lab is transforming digital advertising with Relevance AI —technology that connects brand messaging with the most relevant content and context in real time. This creates measurable outcomes for advertisers and sustainable value for premium publishers without More ❯

Data Scientist £50-65,000 Warrington/Hybrid THE CLIENT & THE OPPORTUNITY We are working exclusively with a leading, high-growth technology consultancy—who are at the absolute forefront of Data & AI innovation. They are seeking an exceptional Data Scientist More ❯

The Role We are looking for a highly motivated Full Stack JavaScript Developer to join our Experience Engineering team. Our team is a dynamic and diverse community of technologists who drive digital transformation for some of the world’s largest More ❯

Head of Artificial Intelligence (AI) Location: Manchester Salary: Excellent Salary + Bonus + Car Allowance + Benefits Shape the Future of AI Join an award-winning, internationally recognised SaaS leader as their Head of AI- (Associate Director) and take the More ❯

Head of Artificial Intelligence (AI) Location: Manchester Salary: Excellent Salary + Bonus + Car Allowance + Benefits Shape the Future of AI Join an award-winning, internationally recognised SaaS leader as their Head of AI- (Associate Director) and take the More ❯

A growing Microsoft Partner Consultancy are looking for a passionate AI Engineer/Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to company conferences and events. For More ❯

A growing Microsoft Partner Consultancy are looking for a passionate AI Engineer/Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to company conferences and events. For More ❯

AI Engineer Salary: Up to £70,000 + bonus I am working with a fast-growing, cloud-first consultancy that is helping organisations unlock the power of Generative AI to drive innovation, efficiency and transformation. With a strong focus on More ❯

AI Engineer Salary: Up to £70,000 + bonus I am working with a fast-growing, cloud-first consultancy that is helping organisations unlock the power of Generative AI to drive innovation, efficiency and transformation. With a strong focus on More ❯

A growing Microsoft Partner Consultancy are looking for a passionate AI Engineer/Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to company conferences and events. For More ❯

Scientist (LLMs) Location: Manchester, UK (Hybrid – 3 days in the office) Build the Future of AI-Powered Communication We’re looking for a Data Scientist to join our growing LLM team, building production-ready large language models that power real enterprise applications. You’ll help train models, create datasets, and push performance boundaries in a fast-moving, research-driven environment. … What You’ll Do Train and fine-tune LLMs and ML models using standardised experiments and high-quality data. Build and improve LLM-based systems for low-latency RAG systems, intent detection, call scoring, and email classification. Support real-time inference infrastructure with ultra-low latency and detailed monitoring. Create and maintain evaluation datasets to test safety, prompt following, and … conversational quality. Collaborate with engineers and researchers to apply new ideas from the latest LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll 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 More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll 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 More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll 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 More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll 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 More ❯

integrate them into sites, videos and real‐world systems. We’re looking for an AI Infrastructure Engineer to build and scale the systems behind the AI video generation and LLM models. You’ll 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 More ❯

with other engineers to build fast, and you'll use Python and Kubernetes to deploy systems in production. What you'll do Work with a high performance team of LLM, MLOps, backend and front end engineers Tackle the biggest problems facing the company, giving a wide experience across the business, with the freedom to define novel approaches Work to help … run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that consults other teams use of LLMs and lifts the quality of products … AI systems in software engineering, for example working on AI software copilots or autonomous software engineering bots 3+ years experience of traditional ML techniques including training and deploying non-LLM ML models, and ongoing monitoring of production models that incorporate feedback mechanisms to improve A keen interest in Gen AI and classic ML, understanding of emerging trends and research, and More ❯